Identification of Two Distinct Working Memory Related Brain Networks in Healthy Young Adults

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.

Related article: http://doi.org/10.1523/ENEURO.0222-17.2018

View ID Name Type
View ID Name Type
Field Value
Compact Identifierhttps://identifiers.org/neurovault.collection:2621
Add DateJune 26, 2017, 12:08 p.m.
Uploaded bytobias.egli@unibas.ch
Contributors
Related article DOI10.1523/ENEURO.0222-17.2018
Related article authorsTobias Egli, David Coynel, Klara Spalek, Matthias Fastenrath, Virginie Freytag, Angela Heck, Eva Loos, Bianca Auschra, Andreas Papassotiropoulos, Dominique J.-F. de Quervain and Annette Milnik
Citation guidelines

If you use the data from this collection please include the following persistent identifier in the text of your manuscript:

https://identifiers.org/neurovault.collection:2621

This will help to track the use of this data in the literature. In addition, consider also citing the paper related to this collection.