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Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults
Working memory (WM) is an important cognitive domain for everyday life functioning and is often disturbed in neuropsychiatric disorders. Functional magnetic resonance imaging (fMRI) studies in humans show that distributed brain areas typically described as fronto-parietal regions are implicated in W...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815845/ https://www.ncbi.nlm.nih.gov/pubmed/29464194 http://dx.doi.org/10.1523/ENEURO.0222-17.2018 |
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author | Egli, Tobias Coynel, David Spalek, Klara Fastenrath, Matthias Freytag, Virginie Heck, Angela Loos, Eva Auschra, Bianca Papassotiropoulos, Andreas de Quervain, Dominique J.-F. Milnik, Annette |
author_facet | Egli, Tobias Coynel, David Spalek, Klara Fastenrath, Matthias Freytag, Virginie Heck, Angela Loos, Eva Auschra, Bianca Papassotiropoulos, Andreas de Quervain, Dominique J.-F. Milnik, Annette |
author_sort | Egli, Tobias |
collection | PubMed |
description | Working memory (WM) is an important cognitive domain for everyday life functioning and is often disturbed in neuropsychiatric disorders. Functional magnetic resonance imaging (fMRI) studies in humans show that distributed brain areas typically described as fronto-parietal regions are implicated in WM tasks. Based on data from a large sample of healthy young adults (N = 1369), we applied independent component analysis (ICA) to the WM-fMRI signal and identified two distinct networks that were relevant for differences in individual WM task performance. A parietally-centered network was particularly relevant for individual differences in task measures related to WM performance (“WM dependent”) and a frontally-centered network was relevant for differences in attention-dependent task performance. Importantly, frontal areas that are typically considered as key regions for WM were either involved in both WM-dependent and attention-dependent performance, or in attention-dependent performance only. The networks identified here are provided as publicly available datasets. These networks can be applied in future studies to derive a low-dimensional representation of the overall WM brain activation. |
format | Online Article Text |
id | pubmed-5815845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-58158452018-02-20 Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults Egli, Tobias Coynel, David Spalek, Klara Fastenrath, Matthias Freytag, Virginie Heck, Angela Loos, Eva Auschra, Bianca Papassotiropoulos, Andreas de Quervain, Dominique J.-F. Milnik, Annette eNeuro Confirmation Working memory (WM) is an important cognitive domain for everyday life functioning and is often disturbed in neuropsychiatric disorders. Functional magnetic resonance imaging (fMRI) studies in humans show that distributed brain areas typically described as fronto-parietal regions are implicated in WM tasks. Based on data from a large sample of healthy young adults (N = 1369), we applied independent component analysis (ICA) to the WM-fMRI signal and identified two distinct networks that were relevant for differences in individual WM task performance. A parietally-centered network was particularly relevant for individual differences in task measures related to WM performance (“WM dependent”) and a frontally-centered network was relevant for differences in attention-dependent task performance. Importantly, frontal areas that are typically considered as key regions for WM were either involved in both WM-dependent and attention-dependent performance, or in attention-dependent performance only. The networks identified here are provided as publicly available datasets. These networks can be applied in future studies to derive a low-dimensional representation of the overall WM brain activation. Society for Neuroscience 2018-02-14 /pmc/articles/PMC5815845/ /pubmed/29464194 http://dx.doi.org/10.1523/ENEURO.0222-17.2018 Text en Copyright © 2018 Egli et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Confirmation Egli, Tobias Coynel, David Spalek, Klara Fastenrath, Matthias Freytag, Virginie Heck, Angela Loos, Eva Auschra, Bianca Papassotiropoulos, Andreas de Quervain, Dominique J.-F. Milnik, Annette Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults |
title | Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults |
title_full | Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults |
title_fullStr | Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults |
title_full_unstemmed | Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults |
title_short | Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults |
title_sort | identification of two distinct working memory-related brain networks in healthy young adults |
topic | Confirmation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815845/ https://www.ncbi.nlm.nih.gov/pubmed/29464194 http://dx.doi.org/10.1523/ENEURO.0222-17.2018 |
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