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description Publicationkeyboard_double_arrow_right Preprint , Article 2018 NetherlandsPublisher:Cold Spring Harbor Laboratory Rene Terporten; Jan-Mathijs Schoffelen; Bohan Dai; Peter Hagoort; Anne Kösem;Pre-stimulus alpha (8-12 Hz) and beta (16-20 Hz) oscillations have been frequently linked to the prediction of upcoming sensory input. Do these frequency bands serve as a neural marker of linguistic prediction as well? We hypothesized that if pre-stimulus alpha and beta oscillations index language predictions, their power should monotonically relate to the degree of predictability of incoming words based on past context. We expected that the more predictable the last word of a sentence, the stronger the alpha and beta power modulation. To test this, we measured neural responses with magnetoencephalography of healthy individuals during exposure to a set of linguistically matched sentences featuring three levels of sentence context constraint (high, medium and low constraint). We observed fluctuations in alpha and beta power before last word onset, and modulations in M400 amplitude after last word onset. The M400 amplitude was monotonically related to the degree of context constraint, with a high constraining context resulting in the strongest amplitude decrease. In contrast, pre-stimulus alpha and beta power decreased more strongly for intermediate constraints, followed by high and low constraints. Therefore, unlike the M400, pre-stimulus alpha and beta dynamics were not indexing the degree of word predictability from sentence context. Contains fulltext : 218382.pdf (Publisher’s version ) (Open Access) 12 p.
bioRxiv arrow_drop_down bioRxivPreprint . 2018Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6934725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/501437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert bioRxiv arrow_drop_down bioRxivPreprint . 2018Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6934725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/501437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 NetherlandsPublisher:Wiley Authors: Barbara C. N. Müller; Anton K. G. Marx; Markus Paulus; Jörg Meinhardt;Barbara C. N. Müller; Anton K. G. Marx; Markus Paulus; Jörg Meinhardt;The achievement motive is one of the core motives of human behavior and can be divided into two motives: an approach motive (i.e., hope for success [HS]), and an avoidance motive (i.e., fear of failure [FF]). Research has demonstrated that frontal electroencephalogram (EEG) asymmetry in the alpha frequency band is an important marker for differences in motivational processes. The present study investigated the relationship between resting state alpha asymmetry and the achievement motive. Resting state EEG was recorded, and implicit and explicit achievement motives, divided in HS and FF, assessed. Alpha activation asymmetries were calculated by subtracting the average left ln power from the average right ln power at frontal sites and at parietal sites as control position. Our results suggest a positive relationship between stronger left-sided activation and higher implicit HS scores; no other significant correlations where found. Possible explanations for these findings are discussed. Contains fulltext : 199020.pdf (Publisher’s version ) (Open Access) 8 p.
NARCIS; Radboud Repo... arrow_drop_down NARCIS; Radboud RepositoryArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/mbe.12175&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Radboud Repo... arrow_drop_down NARCIS; Radboud RepositoryArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/mbe.12175&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 United States, NetherlandsPublisher:Springer Science and Business Media LLC Wei Wu; Yu Zhang; Jing Jiang; Molly V. Lucas; Gregory A. Fonzo; Camarin E. Rolle; Crystal Cooper; Cherise Chin-Fatt; Noralie Krepel; Carena A. Cornelssen; Rachael Wright; Russell T. Toll; Hersh M. Trivedi; Karen Monuszko; Trevor Caudle; Kamron Sarhadi; Manish K. Jha; Joseph M. Trombello; Thilo Deckersbach; Phil Adams; Patrick J. McGrath; Myrna M. Weissman; Maurizio Fava; Diego A. Pizzagalli; Martijn Arns; Madhukar H. Trivedi; Amit Etkin;Antidepressants are widely prescribed, but their efficacy relative to placebo is modest, in part because the clinical diagnosis of major depression encompasses biologically heterogeneous conditions. Here, we sought to identify a neurobiological signature of response to antidepressant treatment as compared to placebo. We designed a latent-space machine-learning algorithm tailored for resting-state electroencephalography (EEG) and applied it to data from the largest imaging-coupled, placebo-controlled antidepressant study (n = 309). Symptom improvement was robustly predicted in a manner both specific for the antidepressant sertraline (versus placebo) and generalizable across different study sites and EEG equipment. This sertraline-predictive EEG signature generalized to two depression samples, wherein it reflected general antidepressant medication responsivity and related differentially to a repetitive transcranial magnetic stimulation treatment outcome. Furthermore, we found that the sertraline resting-state EEG signature indexed prefrontal neural responsivity, as measured by concurrent transcranial magnetic stimulation and EEG. Our findings advance the neurobiological understanding of antidepressant treatment through an EEG-tailored computational model and provide a clinical avenue for personalized treatment of depression.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7145761Data sources: PubMed CentraleScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaNARCIS; Nature BiotechnologyArticle . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41587-019-0397-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 157 citations 157 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7145761Data sources: PubMed CentraleScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaNARCIS; Nature BiotechnologyArticle . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41587-019-0397-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 NetherlandsPublisher:Springer Science and Business Media LLC Luigjes, Judy; Segrave, Rebecca; de Joode, Niels; Figee, Martijn; Denys, Damiaan;pmc: PMC6499746
pmid: 30536145
It is important to find new treatments for addiction due to high relapse rates despite current interventions and due to expansion of the field with non-substance related addictive behaviors. Neuromodulation may provide a new type of treatment for addiction since it can directly target abnormalities in neurocircuits. We review literature on five neuromodulation techniques investigated for efficacy in substance related and behavioral addictions: transcranial direct current stimulation (tDCS), (repetitive) transcranial magnetic stimulation (rTMS), EEG, fMRI neurofeedback and deep brain stimulation (DBS) and additionally report on effects of these interventions on addiction-related cognitive processes. While rTMS and tDCS, mostly applied at the dorsolateral prefrontal cortex, show reductions in immediate craving for various addictive substances, placebo-responses are high and long-term outcomes are understudied. The lack in well-designed EEG-neurofeedback studies despite decades of investigation impedes conclusions about its efficacy. Studies investigating fMRI neurofeedback are new and show initial promising effects on craving, but future trials are needed to investigate long-term and behavioral effects. Case studies report prolonged abstinence of opioids or alcohol with ventral striatal DBS but difficulties with patient inclusion may hinder larger, controlled trials. DBS in neuropsychiatric patients modulates brain circuits involved in reward processing, extinction and negative-reinforcement that are also relevant for addiction. To establish the potential of neuromodulation for addiction, more randomized controlled trials are needed that also investigate treatment duration required for long-term abstinence and potential synergy with other addiction interventions. Finally, future advancement may be expected from tailoring neuromodulation techniques to specific patient (neurocognitive) profiles.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6499746Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11065-018-9393-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 78 citations 78 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6499746Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11065-018-9393-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2017 United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | TEMPLATE 2.0, NWO | Tracing the template: Inv..., UKRI | Tracing the template: Inv...EC| TEMPLATE 2.0 ,NWO| Tracing the template: Investigating the representation of perceptual relevance ,UKRI| Tracing the template: Investigating the representation of perceptual relevanceAuthors: Fahrenfort, Johannes Jacobus; Grubert, Anna; Olivers, Christian N. L.; Eimer, Martin;Fahrenfort, Johannes Jacobus; Grubert, Anna; Olivers, Christian N. L.; Eimer, Martin;pmc: PMC5432503 , PMC6053363
Abstract The primary electrophysiological marker of feature-based selection is the N2pc, a lateralized posterior negativity emerging around 180-200 ms. As it relies on hemispheric differences, its ability to discriminate the locus of focal attention is severely limited. Here we demonstrate that multivariate analyses of raw EEG data provide a much more fine-grained spatial profile of feature-based target selection. When training a pattern classifier to determine target position from EEG, we were able to decode target positions on the vertical midline, which cannot be achieved using standard N2pc methodology. Next, we used a forward encoding model to construct a channel tuning function that describes the continuous relationship between target position and multivariate EEG in an eight-position display. This model can spatially discriminate individual target positions in these displays and is fully invertible, enabling us to construct hypothetical topographic activation maps for target positions that were never used. When tested against the real pattern of neural activity obtained from a different group of subjects, the constructed maps from the forward model turned out statistically indistinguishable, thus providing independent validation of our model. Our findings demonstrate the power of multivariate EEG analysis to track feature-based target selection with high spatial and temporal precision. Significance Statement Feature-based attentional selection enables observers to find objects in their visual field. The spatiotemporal profile of this process is difficult to assess with standard electrophysiological methods, which rely on activity differences between cerebral hemispheres. We demonstrate that multivariate analyses of EEG data can track target selection across the visual field with high temporal and spatial resolution. Using a forward model, we were able to capture the continuous relationship between target position and EEG measurements, allowing us to reconstruct the distribution of cortical activity for target locations that were never shown during the experiment. Our findings demonstrate the existence of a temporally and spatially precise EEG signal that can be used to study the neural basis of feature-based attentional selection.
Durham Research Onli... arrow_drop_down Durham Research Online; Scientific ReportsArticle . 2017 . Peer-reviewedLicense: CC BYFull-Text: http://dro.dur.ac.uk/21899/1/21899.pdfScientific ReportsArticle . 2017Full-Text: http://europepmc.org/articles/PMC5432503Data sources: PubMed CentralEurope PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6053363Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-017-01911-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Durham Research Onli... arrow_drop_down Durham Research Online; Scientific ReportsArticle . 2017 . Peer-reviewedLicense: CC BYFull-Text: http://dro.dur.ac.uk/21899/1/21899.pdfScientific ReportsArticle . 2017Full-Text: http://europepmc.org/articles/PMC5432503Data sources: PubMed CentralEurope PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6053363Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-017-01911-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 Singapore, Switzerland, Lithuania, NetherlandsPublisher:Elsevier BV Funded by:WT | Wellcome Trust Sanger Ins..., SNSF | Assessing the impact of c...WT| Wellcome Trust Sanger Institute - generic account for deposition of all core- funded research papers ,SNSF| Assessing the impact of copy number variantsLucie Gueneau; Richard J. Fish; Hanan E. Shamseldin; Norine Voisin; Frédéric Tran Mau-Them; Egle Preiksaitiene; Glen R. Monroe; Angeline Lai; Audrey Putoux; Fabienne Allias; Qamariya Ambusaidi; Laima Ambrozaityte; Loreta Cimbalistienė; Julien Delafontaine; Nicolas Guex; Mais Hashem; Wesam Kurdi; Saumya Shekhar Jamuar; Lim J. Ying; Carine Bonnard; Tommaso Pippucci; Sylvain Pradervand; Bernd Roechert; Peter M. van Hasselt; Michaël Wiederkehr; Caroline F. Wright; Ioannis Xenarios; Gijs van Haaften; Charles Shaw-Smith; Erica Schindewolf; Marguerite Neerman-Arbez; Damien Sanlaville; Gaetan Lesca; Laurent Guibaud; Bruno Reversade; Jamel Chelly; Vaidutis Kučinskas; Fowzan S. Alkuraya; Alexandre Reymond;Whole-exome and targeted sequencing of 13 individuals from 10 unrelated families with overlapping clinical manifestations identified loss-of-function and missense variants in KIAA1109 allowing delineation of an autosomal-recessive multi-system syndrome, which we suggest to name Alkuraya-Kučinskas syndrome (MIM 617822). Shared phenotypic features representing the cardinal characteristics of this syndrome combine brain atrophy with clubfoot and arthrogryposis. Affected individuals present with cerebral parenchymal underdevelopment, ranging from major cerebral parenchymal thinning with lissencephalic aspect to moderate parenchymal rarefaction, severe to mild ventriculomegaly, cerebellar hypoplasia with brainstem dysgenesis, and cardiac and ophthalmologic anomalies, such as microphthalmia and cataract. Severe loss-of-function cases were incompatible with life, whereas those individuals with milder missense variants presented with severe global developmental delay, syndactyly of 2 <sup>nd</sup> and 3 <sup>rd</sup> toes, and severe muscle hypotonia resulting in incapacity to stand without support. Consistent with a causative role for KIAA1109 loss-of-function/hypomorphic variants in this syndrome, knockdowns of the zebrafish orthologous gene resulted in embryos with hydrocephaly and abnormally curved notochords and overall body shape, whereas published knockouts of the fruit fly and mouse orthologous genes resulted in lethality or severe neurological defects reminiscent of the probands' features.
NARCIS arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5777449Data sources: PubMed CentralDigital Repository of NTUArticle . 2017License: © 2017 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Data sources: Digital Repository of NTUVilnius University Institutional RepositoryArticle . 2018Data sources: Vilnius University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ajhg.2017.12.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 44 citations 44 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert NARCIS arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5777449Data sources: PubMed CentralDigital Repository of NTUArticle . 2017License: © 2017 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Data sources: Digital Repository of NTUVilnius University Institutional RepositoryArticle . 2018Data sources: Vilnius University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ajhg.2017.12.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2017 Canada, Netherlands, DenmarkPublisher:Wiley Funded by:NSERC, EC | NEUROPHYSICSNSERC ,EC| NEUROPHYSICSAuthors: Demetrius, Ribeiro de Paula; Erik, Ziegler; Pubuditha M, Abeyasinghe; Tushar K, Das; +14 AuthorsDemetrius, Ribeiro de Paula; Erik, Ziegler; Pubuditha M, Abeyasinghe; Tushar K, Das; Carlo, Cavaliere; Marco, Aiello; Lizette, Heine; Carol, di Perri; Athena, Demertzi; Quentin, Noirhomme; Vanessa, Charland-Verville; Audrey, Vanhaudenhuyse; Johan, Stender; Francisco, Gomez; Jean-Flory L, Tshibanda; Steven, Laureys; Adrian M, Owen; Andrea, Soddu;AbstractIntroductionIndependent component analysis (ICA) has been extensively used for reducing task‐free BOLD fMRI recordings into spatial maps and their associated time‐courses. The spatially identified independent components can be considered as intrinsic connectivity networks (ICNs) of non‐contiguous regions. To date, the spatial patterns of the networks have been analyzed with techniques developed for volumetric data.ObjectiveHere, we detail a graph building technique that allows these ICNs to be analyzed with graph theory.MethodsFirst, ICA was performed at the single‐subject level in 15 healthy volunteers using a 3T MRI scanner. The identification of nine networks was performed by a multiple‐template matching procedure and a subsequent component classification based on the network “neuronal” properties. Second, for each of the identified networks, the nodes were defined as 1,015 anatomically parcellated regions. Third, between‐node functional connectivity was established by building edge weights for each networks. Group‐level graph analysis was finally performed for each network and compared to the classical network.ResultsNetwork graph comparison between the classically constructed network and the nine networks showed significant differences in the auditory and visual medial networks with regard to the average degree and the number of edges, while the visual lateral network showed a significant difference in the small‐worldness.ConclusionsThis novel approach permits us to take advantage of the well‐recognized power of ICA in BOLD signal decomposition and, at the same time, to make use of well‐established graph measures to evaluate connectivity differences. Moreover, by providing a graph for each separate network, it can offer the possibility to extract graph measures in a specific way for each network. This increased specificity could be relevant for studying pathological brain activity or altered states of consciousness as induced by anesthesia or sleep, where specific networks are known to be altered in different strength.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5346515Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2017Data sources: Copenhagen University Research Information SystemNARCIS; Brain and BehaviorArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/brb3.626&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5346515Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2017Data sources: Copenhagen University Research Information SystemNARCIS; Brain and BehaviorArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/brb3.626&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 NetherlandsPublisher:Springer Science and Business Media LLC Authors: Emily L. Coderre; Elizabeth O’Donnell; Emme O’Rourke; Neil Cohn;Emily L. Coderre; Elizabeth O’Donnell; Emme O’Rourke; Neil Cohn;AbstractPredictability is known to modulate semantic processing in language, but it is unclear to what extent this applies for other modalities. Here we ask whether similar cognitive processes are at play in predicting upcoming events in a non-verbal visual narrative. Typically developing adults viewed comics sequences in which a target panel was highly predictable (“high cloze”), less predictable (“low cloze”), or incongruent with the preceding narrative context (“anomalous”) during EEG recording. High and low predictable sequences were determined by a pretest where participants assessed “what happened next?”, resulting in cloze probability scores for sequence outcomes comparable to those used to measure predictability in sentence processing. Through both factorial and correlational analyses, we show a significant modulation of neural responses by cloze such that N400 effects are diminished as a target panel in a comic sequence becomes more predictable. Predictability thus appears to play a similar role in non-verbal comprehension of sequential images as in language comprehension, providing further evidence for the domain generality of semantic processing in the brain.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7316725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-020-66814-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7316725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-020-66814-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2012 Denmark, Netherlands, Denmark, France, France, SpainPublisher:Elsevier BV Funded by:NIH | UC Davis Alzheimer's Core..., NIH | "MR Morphometrics and Cog..., CIHR +1 projectsNIH| UC Davis Alzheimer's Core Center ,NIH| "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies" ,CIHR ,NIH| Alzheimers Disease Neuroimaging InitiativeEskildsen, S.F.; Coupe, P.; Fonov, V.; Manjon, J.V.; Leung, K.K.; Guizard, N.; Wassef, S.N.; Ostergaard, L.R.; Collins, D.L.; Olde Rikkert, M.; Olde Rikkert, M.; et al, .;Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due to imaging sequences make the development of a general purpose brain extraction algorithm challenging. To address this issue, we propose a new robust method (BEaST) dedicated to produce consistent and accurate brain extraction. This method is based on nonlocal segmentation embedded in a multi-resolution framework. A library of 80 priors is semi-automatically constructed from the NIH-sponsored MRI study of normal brain development, the International Consortium for Brain Mapping, and the Alzheimer's Disease Neuroimaging Initiative databases. In testing, a mean Dice similarity coefficient of 0.9834 ± 0.0053 was obtained when performing leave-one-out cross validation selecting only 20 priors from the library. Validation using the online Segmentation Validation Engine resulted in a top ranking position with a mean Dice coefficient of 0.9781 ± 0.0047. Robustness of BEaST is demonstrated on all baseline ADNI data, resulting in a very low failure rate. The segmentation accuracy of the method is better than two widely used publicly available methods and recent state-of-the-art hybrid approaches. BEaST provides results comparable to a recent label fusion approach, while being 40 times faster and requiring a much smaller library of priors. Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott, AstraZeneca AB, Bayer Schering Pharma AG, Bristol-Myers Squibb, Eisai Global Clinical Development, Elan Corporation, Genentech, GE Healthcare, GlaxoSmithKline, Innogenetics, Johnson and Johnson, Eli Lilly and Co., Medpace, Inc., Merck and Co., Inc., Novartis AG, Pfizer Inc, F. Hoffman-La Roche, Schering-Plough, Synarc, Inc., as well as non-profit partners the Alzheimer's Association and Alzheimer's Drug Discovery Foundation, with participation from the U.S. Food and Drug Administration. Private sector contributions to ADNI are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30AG010129, K01 AG030514, and the Dana Foundation.
Radboud Repository; ... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; METIS Research Information System; NeuroImageArticle . 2012 . Peer-reviewedLicense: Elsevier TDMVBN; Aalborg University Research PortalArticle . 2012HAL-Inserm; Hal-DiderotArticle . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2011.09.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 379 citations 379 popularity Top 0.1% influence Top 1% impulse Top 1% Powered by BIP!visibility 197visibility views 197 download downloads 1,375 Powered bymore_vert Radboud Repository; ... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; METIS Research Information System; NeuroImageArticle . 2012 . Peer-reviewedLicense: Elsevier TDMVBN; Aalborg University Research PortalArticle . 2012HAL-Inserm; Hal-DiderotArticle . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2011.09.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 NetherlandsPublisher:Wiley Funded by:EC | C-PreEC| C-PreAuthors: Christoph Huber-Huber; Julia Steininger; Markus Grüner; Ulrich Ansorge;Christoph Huber-Huber; Julia Steininger; Markus Grüner; Ulrich Ansorge;Abstract Visual attention and saccadic eye movements are linked in a tight, yet flexible fashion. In humans, this link is typically studied with dual‐task setups. Participants are instructed to execute a saccade to some target location, while a discrimination target is flashed on a screen before the saccade can be made. Participants are also instructed to report a specific feature of this discrimination target at the trial end. Discrimination performance is usually better if the discrimination target occurred at the same location as the saccade target compared to when it occurred at a different location, which is explained by the mandatory shift of attention to the saccade target location before saccade onset. This pre‐saccadic shift of attention presumably enhances the perception of the discrimination target if it occurred at the same, but not if it occurred at a different location. It is, however, known that a dual‐task setup can alter the primary process under investigation. Here, we directly compared pre‐saccadic attention in single‐task versus dual‐task setups using concurrent electroencephalography (EEG) and eye‐tracking. Our results corroborate the idea of a pre‐saccadic shift of attention. They, however, question that this shift leads to the same‐position discrimination advantage. The relation of saccade and discrimination target position affected the EEG signal only after saccade onset. Our results, thus, favor an alternative explanation based on the role of saccades for the consolidation of sensory and short‐term memory. We conclude that studies with dual‐task setups arrived at a valid conclusion despite not measuring exactly what they intended to measure. In humans, the relation between visual attention and saccadic eye movements is usually studied with psychophysical dual‐task setups. Here, we employ concurrent EEG and eye‐tracking to directly compare dual‐task to single‐task setups and conclude in line with previous research that attention precedes saccades. However, our results suggest that dual‐task setups do not measure what they are supposed to measure, that is, the pre‐saccadic shift of attention.
NARCIS arrow_drop_down METIS Research Information System; PsychophysiologyOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8244053Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/psyp.13787&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert NARCIS arrow_drop_down METIS Research Information System; PsychophysiologyOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8244053Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Preprint , Article 2018 NetherlandsPublisher:Cold Spring Harbor Laboratory Rene Terporten; Jan-Mathijs Schoffelen; Bohan Dai; Peter Hagoort; Anne Kösem;Pre-stimulus alpha (8-12 Hz) and beta (16-20 Hz) oscillations have been frequently linked to the prediction of upcoming sensory input. Do these frequency bands serve as a neural marker of linguistic prediction as well? We hypothesized that if pre-stimulus alpha and beta oscillations index language predictions, their power should monotonically relate to the degree of predictability of incoming words based on past context. We expected that the more predictable the last word of a sentence, the stronger the alpha and beta power modulation. To test this, we measured neural responses with magnetoencephalography of healthy individuals during exposure to a set of linguistically matched sentences featuring three levels of sentence context constraint (high, medium and low constraint). We observed fluctuations in alpha and beta power before last word onset, and modulations in M400 amplitude after last word onset. The M400 amplitude was monotonically related to the degree of context constraint, with a high constraining context resulting in the strongest amplitude decrease. In contrast, pre-stimulus alpha and beta power decreased more strongly for intermediate constraints, followed by high and low constraints. Therefore, unlike the M400, pre-stimulus alpha and beta dynamics were not indexing the degree of word predictability from sentence context. Contains fulltext : 218382.pdf (Publisher’s version ) (Open Access) 12 p.
bioRxiv arrow_drop_down bioRxivPreprint . 2018Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6934725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/501437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert bioRxiv arrow_drop_down bioRxivPreprint . 2018Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6934725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/501437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 NetherlandsPublisher:Wiley Authors: Barbara C. N. Müller; Anton K. G. Marx; Markus Paulus; Jörg Meinhardt;Barbara C. N. Müller; Anton K. G. Marx; Markus Paulus; Jörg Meinhardt;The achievement motive is one of the core motives of human behavior and can be divided into two motives: an approach motive (i.e., hope for success [HS]), and an avoidance motive (i.e., fear of failure [FF]). Research has demonstrated that frontal electroencephalogram (EEG) asymmetry in the alpha frequency band is an important marker for differences in motivational processes. The present study investigated the relationship between resting state alpha asymmetry and the achievement motive. Resting state EEG was recorded, and implicit and explicit achievement motives, divided in HS and FF, assessed. Alpha activation asymmetries were calculated by subtracting the average left ln power from the average right ln power at frontal sites and at parietal sites as control position. Our results suggest a positive relationship between stronger left-sided activation and higher implicit HS scores; no other significant correlations where found. Possible explanations for these findings are discussed. Contains fulltext : 199020.pdf (Publisher’s version ) (Open Access) 8 p.
NARCIS; Radboud Repo... arrow_drop_down NARCIS; Radboud RepositoryArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/mbe.12175&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Radboud Repo... arrow_drop_down NARCIS; Radboud RepositoryArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/mbe.12175&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 United States, NetherlandsPublisher:Springer Science and Business Media LLC Wei Wu; Yu Zhang; Jing Jiang; Molly V. Lucas; Gregory A. Fonzo; Camarin E. Rolle; Crystal Cooper; Cherise Chin-Fatt; Noralie Krepel; Carena A. Cornelssen; Rachael Wright; Russell T. Toll; Hersh M. Trivedi; Karen Monuszko; Trevor Caudle; Kamron Sarhadi; Manish K. Jha; Joseph M. Trombello; Thilo Deckersbach; Phil Adams; Patrick J. McGrath; Myrna M. Weissman; Maurizio Fava; Diego A. Pizzagalli; Martijn Arns; Madhukar H. Trivedi; Amit Etkin;Antidepressants are widely prescribed, but their efficacy relative to placebo is modest, in part because the clinical diagnosis of major depression encompasses biologically heterogeneous conditions. Here, we sought to identify a neurobiological signature of response to antidepressant treatment as compared to placebo. We designed a latent-space machine-learning algorithm tailored for resting-state electroencephalography (EEG) and applied it to data from the largest imaging-coupled, placebo-controlled antidepressant study (n = 309). Symptom improvement was robustly predicted in a manner both specific for the antidepressant sertraline (versus placebo) and generalizable across different study sites and EEG equipment. This sertraline-predictive EEG signature generalized to two depression samples, wherein it reflected general antidepressant medication responsivity and related differentially to a repetitive transcranial magnetic stimulation treatment outcome. Furthermore, we found that the sertraline resting-state EEG signature indexed prefrontal neural responsivity, as measured by concurrent transcranial magnetic stimulation and EEG. Our findings advance the neurobiological understanding of antidepressant treatment through an EEG-tailored computational model and provide a clinical avenue for personalized treatment of depression.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7145761Data sources: PubMed CentraleScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaNARCIS; Nature BiotechnologyArticle . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41587-019-0397-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 157 citations 157 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7145761Data sources: PubMed CentraleScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaNARCIS; Nature BiotechnologyArticle . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41587-019-0397-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 NetherlandsPublisher:Springer Science and Business Media LLC Luigjes, Judy; Segrave, Rebecca; de Joode, Niels; Figee, Martijn; Denys, Damiaan;pmc: PMC6499746
pmid: 30536145
It is important to find new treatments for addiction due to high relapse rates despite current interventions and due to expansion of the field with non-substance related addictive behaviors. Neuromodulation may provide a new type of treatment for addiction since it can directly target abnormalities in neurocircuits. We review literature on five neuromodulation techniques investigated for efficacy in substance related and behavioral addictions: transcranial direct current stimulation (tDCS), (repetitive) transcranial magnetic stimulation (rTMS), EEG, fMRI neurofeedback and deep brain stimulation (DBS) and additionally report on effects of these interventions on addiction-related cognitive processes. While rTMS and tDCS, mostly applied at the dorsolateral prefrontal cortex, show reductions in immediate craving for various addictive substances, placebo-responses are high and long-term outcomes are understudied. The lack in well-designed EEG-neurofeedback studies despite decades of investigation impedes conclusions about its efficacy. Studies investigating fMRI neurofeedback are new and show initial promising effects on craving, but future trials are needed to investigate long-term and behavioral effects. Case studies report prolonged abstinence of opioids or alcohol with ventral striatal DBS but difficulties with patient inclusion may hinder larger, controlled trials. DBS in neuropsychiatric patients modulates brain circuits involved in reward processing, extinction and negative-reinforcement that are also relevant for addiction. To establish the potential of neuromodulation for addiction, more randomized controlled trials are needed that also investigate treatment duration required for long-term abstinence and potential synergy with other addiction interventions. Finally, future advancement may be expected from tailoring neuromodulation techniques to specific patient (neurocognitive) profiles.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6499746Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11065-018-9393-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 78 citations 78 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6499746Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11065-018-9393-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2017 United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | TEMPLATE 2.0, NWO | Tracing the template: Inv..., UKRI | Tracing the template: Inv...EC| TEMPLATE 2.0 ,NWO| Tracing the template: Investigating the representation of perceptual relevance ,UKRI| Tracing the template: Investigating the representation of perceptual relevanceAuthors: Fahrenfort, Johannes Jacobus; Grubert, Anna; Olivers, Christian N. L.; Eimer, Martin;Fahrenfort, Johannes Jacobus; Grubert, Anna; Olivers, Christian N. L.; Eimer, Martin;pmc: PMC5432503 , PMC6053363
Abstract The primary electrophysiological marker of feature-based selection is the N2pc, a lateralized posterior negativity emerging around 180-200 ms. As it relies on hemispheric differences, its ability to discriminate the locus of focal attention is severely limited. Here we demonstrate that multivariate analyses of raw EEG data provide a much more fine-grained spatial profile of feature-based target selection. When training a pattern classifier to determine target position from EEG, we were able to decode target positions on the vertical midline, which cannot be achieved using standard N2pc methodology. Next, we used a forward encoding model to construct a channel tuning function that describes the continuous relationship between target position and multivariate EEG in an eight-position display. This model can spatially discriminate individual target positions in these displays and is fully invertible, enabling us to construct hypothetical topographic activation maps for target positions that were never used. When tested against the real pattern of neural activity obtained from a different group of subjects, the constructed maps from the forward model turned out statistically indistinguishable, thus providing independent validation of our model. Our findings demonstrate the power of multivariate EEG analysis to track feature-based target selection with high spatial and temporal precision. Significance Statement Feature-based attentional selection enables observers to find objects in their visual field. The spatiotemporal profile of this process is difficult to assess with standard electrophysiological methods, which rely on activity differences between cerebral hemispheres. We demonstrate that multivariate analyses of EEG data can track target selection across the visual field with high temporal and spatial resolution. Using a forward model, we were able to capture the continuous relationship between target position and EEG measurements, allowing us to reconstruct the distribution of cortical activity for target locations that were never shown during the experiment. Our findings demonstrate the existence of a temporally and spatially precise EEG signal that can be used to study the neural basis of feature-based attentional selection.
Durham Research Onli... arrow_drop_down Durham Research Online; Scientific ReportsArticle . 2017 . Peer-reviewedLicense: CC BYFull-Text: http://dro.dur.ac.uk/21899/1/21899.pdfScientific ReportsArticle . 2017Full-Text: http://europepmc.org/articles/PMC5432503Data sources: PubMed CentralEurope PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6053363Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-017-01911-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Durham Research Onli... arrow_drop_down Durham Research Online; Scientific ReportsArticle . 2017 . Peer-reviewedLicense: CC BYFull-Text: http://dro.dur.ac.uk/21899/1/21899.pdfScientific ReportsArticle . 2017Full-Text: http://europepmc.org/articles/PMC5432503Data sources: PubMed CentralEurope PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6053363Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-017-01911-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 Singapore, Switzerland, Lithuania, NetherlandsPublisher:Elsevier BV Funded by:WT | Wellcome Trust Sanger Ins..., SNSF | Assessing the impact of c...WT| Wellcome Trust Sanger Institute - generic account for deposition of all core- funded research papers ,SNSF| Assessing the impact of copy number variantsLucie Gueneau; Richard J. Fish; Hanan E. Shamseldin; Norine Voisin; Frédéric Tran Mau-Them; Egle Preiksaitiene; Glen R. Monroe; Angeline Lai; Audrey Putoux; Fabienne Allias; Qamariya Ambusaidi; Laima Ambrozaityte; Loreta Cimbalistienė; Julien Delafontaine; Nicolas Guex; Mais Hashem; Wesam Kurdi; Saumya Shekhar Jamuar; Lim J. Ying; Carine Bonnard; Tommaso Pippucci; Sylvain Pradervand; Bernd Roechert; Peter M. van Hasselt; Michaël Wiederkehr; Caroline F. Wright; Ioannis Xenarios; Gijs van Haaften; Charles Shaw-Smith; Erica Schindewolf; Marguerite Neerman-Arbez; Damien Sanlaville; Gaetan Lesca; Laurent Guibaud; Bruno Reversade; Jamel Chelly; Vaidutis Kučinskas; Fowzan S. Alkuraya; Alexandre Reymond;Whole-exome and targeted sequencing of 13 individuals from 10 unrelated families with overlapping clinical manifestations identified loss-of-function and missense variants in KIAA1109 allowing delineation of an autosomal-recessive multi-system syndrome, which we suggest to name Alkuraya-Kučinskas syndrome (MIM 617822). Shared phenotypic features representing the cardinal characteristics of this syndrome combine brain atrophy with clubfoot and arthrogryposis. Affected individuals present with cerebral parenchymal underdevelopment, ranging from major cerebral parenchymal thinning with lissencephalic aspect to moderate parenchymal rarefaction, severe to mild ventriculomegaly, cerebellar hypoplasia with brainstem dysgenesis, and cardiac and ophthalmologic anomalies, such as microphthalmia and cataract. Severe loss-of-function cases were incompatible with life, whereas those individuals with milder missense variants presented with severe global developmental delay, syndactyly of 2 <sup>nd</sup> and 3 <sup>rd</sup> toes, and severe muscle hypotonia resulting in incapacity to stand without support. Consistent with a causative role for KIAA1109 loss-of-function/hypomorphic variants in this syndrome, knockdowns of the zebrafish orthologous gene resulted in embryos with hydrocephaly and abnormally curved notochords and overall body shape, whereas published knockouts of the fruit fly and mouse orthologous genes resulted in lethality or severe neurological defects reminiscent of the probands' features.
NARCIS arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5777449Data sources: PubMed CentralDigital Repository of NTUArticle . 2017License: © 2017 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Data sources: Digital Repository of NTUVilnius University Institutional RepositoryArticle . 2018Data sources: Vilnius University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ajhg.2017.12.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 44 citations 44 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert NARCIS arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5777449Data sources: PubMed CentralDigital Repository of NTUArticle . 2017License: © 2017 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Data sources: Digital Repository of NTUVilnius University Institutional RepositoryArticle . 2018Data sources: Vilnius University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ajhg.2017.12.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2017 Canada, Netherlands, DenmarkPublisher:Wiley Funded by:NSERC, EC | NEUROPHYSICSNSERC ,EC| NEUROPHYSICSAuthors: Demetrius, Ribeiro de Paula; Erik, Ziegler; Pubuditha M, Abeyasinghe; Tushar K, Das; +14 AuthorsDemetrius, Ribeiro de Paula; Erik, Ziegler; Pubuditha M, Abeyasinghe; Tushar K, Das; Carlo, Cavaliere; Marco, Aiello; Lizette, Heine; Carol, di Perri; Athena, Demertzi; Quentin, Noirhomme; Vanessa, Charland-Verville; Audrey, Vanhaudenhuyse; Johan, Stender; Francisco, Gomez; Jean-Flory L, Tshibanda; Steven, Laureys; Adrian M, Owen; Andrea, Soddu;AbstractIntroductionIndependent component analysis (ICA) has been extensively used for reducing task‐free BOLD fMRI recordings into spatial maps and their associated time‐courses. The spatially identified independent components can be considered as intrinsic connectivity networks (ICNs) of non‐contiguous regions. To date, the spatial patterns of the networks have been analyzed with techniques developed for volumetric data.ObjectiveHere, we detail a graph building technique that allows these ICNs to be analyzed with graph theory.MethodsFirst, ICA was performed at the single‐subject level in 15 healthy volunteers using a 3T MRI scanner. The identification of nine networks was performed by a multiple‐template matching procedure and a subsequent component classification based on the network “neuronal” properties. Second, for each of the identified networks, the nodes were defined as 1,015 anatomically parcellated regions. Third, between‐node functional connectivity was established by building edge weights for each networks. Group‐level graph analysis was finally performed for each network and compared to the classical network.ResultsNetwork graph comparison between the classically constructed network and the nine networks showed significant differences in the auditory and visual medial networks with regard to the average degree and the number of edges, while the visual lateral network showed a significant difference in the small‐worldness.ConclusionsThis novel approach permits us to take advantage of the well‐recognized power of ICA in BOLD signal decomposition and, at the same time, to make use of well‐established graph measures to evaluate connectivity differences. Moreover, by providing a graph for each separate network, it can offer the possibility to extract graph measures in a specific way for each network. This increased specificity could be relevant for studying pathological brain activity or altered states of consciousness as induced by anesthesia or sleep, where specific networks are known to be altered in different strength.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5346515Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2017Data sources: Copenhagen University Research Information SystemNARCIS; Brain and BehaviorArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/brb3.626&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2017Full-Text: http://europepmc.org/articles/PMC5346515Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2017Data sources: Copenhagen University Research Information SystemNARCIS; Brain and BehaviorArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/brb3.626&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 NetherlandsPublisher:Springer Science and Business Media LLC Authors: Emily L. Coderre; Elizabeth O’Donnell; Emme O’Rourke; Neil Cohn;Emily L. Coderre; Elizabeth O’Donnell; Emme O’Rourke; Neil Cohn;AbstractPredictability is known to modulate semantic processing in language, but it is unclear to what extent this applies for other modalities. Here we ask whether similar cognitive processes are at play in predicting upcoming events in a non-verbal visual narrative. Typically developing adults viewed comics sequences in which a target panel was highly predictable (“high cloze”), less predictable (“low cloze”), or incongruent with the preceding narrative context (“anomalous”) during EEG recording. High and low predictable sequences were determined by a pretest where participants assessed “what happened next?”, resulting in cloze probability scores for sequence outcomes comparable to those used to measure predictability in sentence processing. Through both factorial and correlational analyses, we show a significant modulation of neural responses by cloze such that N400 effects are diminished as a target panel in a comic sequence becomes more predictable. Predictability thus appears to play a similar role in non-verbal comprehension of sequential images as in language comprehension, providing further evidence for the domain generality of semantic processing in the brain.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7316725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-020-66814-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7316725Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-020-66814-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2012 Denmark, Netherlands, Denmark, France, France, SpainPublisher:Elsevier BV Funded by:NIH | UC Davis Alzheimer's Core..., NIH | "MR Morphometrics and Cog..., CIHR +1 projectsNIH| UC Davis Alzheimer's Core Center ,NIH| "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies" ,CIHR ,NIH| Alzheimers Disease Neuroimaging InitiativeEskildsen, S.F.; Coupe, P.; Fonov, V.; Manjon, J.V.; Leung, K.K.; Guizard, N.; Wassef, S.N.; Ostergaard, L.R.; Collins, D.L.; Olde Rikkert, M.; Olde Rikkert, M.; et al, .;Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due to imaging sequences make the development of a general purpose brain extraction algorithm challenging. To address this issue, we propose a new robust method (BEaST) dedicated to produce consistent and accurate brain extraction. This method is based on nonlocal segmentation embedded in a multi-resolution framework. A library of 80 priors is semi-automatically constructed from the NIH-sponsored MRI study of normal brain development, the International Consortium for Brain Mapping, and the Alzheimer's Disease Neuroimaging Initiative databases. In testing, a mean Dice similarity coefficient of 0.9834 ± 0.0053 was obtained when performing leave-one-out cross validation selecting only 20 priors from the library. Validation using the online Segmentation Validation Engine resulted in a top ranking position with a mean Dice coefficient of 0.9781 ± 0.0047. Robustness of BEaST is demonstrated on all baseline ADNI data, resulting in a very low failure rate. The segmentation accuracy of the method is better than two widely used publicly available methods and recent state-of-the-art hybrid approaches. BEaST provides results comparable to a recent label fusion approach, while being 40 times faster and requiring a much smaller library of priors. Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott, AstraZeneca AB, Bayer Schering Pharma AG, Bristol-Myers Squibb, Eisai Global Clinical Development, Elan Corporation, Genentech, GE Healthcare, GlaxoSmithKline, Innogenetics, Johnson and Johnson, Eli Lilly and Co., Medpace, Inc., Merck and Co., Inc., Novartis AG, Pfizer Inc, F. Hoffman-La Roche, Schering-Plough, Synarc, Inc., as well as non-profit partners the Alzheimer's Association and Alzheimer's Drug Discovery Foundation, with participation from the U.S. Food and Drug Administration. Private sector contributions to ADNI are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30AG010129, K01 AG030514, and the Dana Foundation.
Radboud Repository; ... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; METIS Research Information System; NeuroImageArticle . 2012 . Peer-reviewedLicense: Elsevier TDMVBN; Aalborg University Research PortalArticle . 2012HAL-Inserm; Hal-DiderotArticle . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2011.09.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 379 citations 379 popularity Top 0.1% influence Top 1% impulse Top 1% Powered by BIP!visibility 197visibility views 197 download downloads 1,375 Powered bymore_vert Radboud Repository; ... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; METIS Research Information System; NeuroImageArticle . 2012 . Peer-reviewedLicense: Elsevier TDMVBN; Aalborg University Research PortalArticle . 2012HAL-Inserm; Hal-DiderotArticle . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2011.09.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 NetherlandsPublisher:Wiley Funded by:EC | C-PreEC| C-PreAuthors: Christoph Huber-Huber; Julia Steininger; Markus Grüner; Ulrich Ansorge;Christoph Huber-Huber; Julia Steininger; Markus Grüner; Ulrich Ansorge;Abstract Visual attention and saccadic eye movements are linked in a tight, yet flexible fashion. In humans, this link is typically studied with dual‐task setups. Participants are instructed to execute a saccade to some target location, while a discrimination target is flashed on a screen before the saccade can be made. Participants are also instructed to report a specific feature of this discrimination target at the trial end. Discrimination performance is usually better if the discrimination target occurred at the same location as the saccade target compared to when it occurred at a different location, which is explained by the mandatory shift of attention to the saccade target location before saccade onset. This pre‐saccadic shift of attention presumably enhances the perception of the discrimination target if it occurred at the same, but not if it occurred at a different location. It is, however, known that a dual‐task setup can alter the primary process under investigation. Here, we directly compared pre‐saccadic attention in single‐task versus dual‐task setups using concurrent electroencephalography (EEG) and eye‐tracking. Our results corroborate the idea of a pre‐saccadic shift of attention. They, however, question that this shift leads to the same‐position discrimination advantage. The relation of saccade and discrimination target position affected the EEG signal only after saccade onset. Our results, thus, favor an alternative explanation based on the role of saccades for the consolidation of sensory and short‐term memory. We conclude that studies with dual‐task setups arrived at a valid conclusion despite not measuring exactly what they intended to measure. In humans, the relation between visual attention and saccadic eye movements is usually studied with psychophysical dual‐task setups. Here, we employ concurrent EEG and eye‐tracking to directly compare dual‐task to single‐task setups and conclude in line with previous research that attention precedes saccades. However, our results suggest that dual‐task setups do not measure what they are supposed to measure, that is, the pre‐saccadic shift of attention.
NARCIS arrow_drop_down METIS Research Information System; PsychophysiologyOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8244053Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/psyp.13787&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert NARCIS arrow_drop_down METIS Research Information System; PsychophysiologyOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8244053Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/psyp.13787&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu