Dynamic network coding of working-memory domains and working-memory processes

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Title: Dynamic network coding of working-memory domains and working-memory processes
Authors: Soreq, E
Leech, R
Hampshire, A
Item Type: Journal Article
Abstract: The classic mapping of distinct aspects of working memory (WM) to mutually exclusive brain areas is at odds with the distributed processing mechanisms proposed by contemporary network science theory. Here, we use machine learning to determine how aspects of WM are dynamically coded in the human brain. Using cross-validation across independent fMRI studies, we demonstrate that stimulus domains (spatial, number and fractal) and WM processes (encode, maintain, probe) are classifiable with high accuracy from the patterns of network activity and connectivity that they evoke. This is the case even when focusing on ‘multiple demands’ brain regions, which are active across all WM conditions. Contrary to early neuropsychological perspectives, these aspects of WM do not map exclusively to brain areas or processing streams; however, the mappings from that literature form salient features within the corresponding multivariate connectivity patterns. Furthermore, connectivity patterns provide the most precise basis for classification and become fine-tuned as maintenance load increases. These results accord with a network-coding mechanism, where the same brain regions support diverse WM demands by adopting different connectivity states.
Issue Date: 25-Feb-2019
Date of Acceptance: 18-Jan-2019
URI: http://hdl.handle.net/10044/1/66354
DOI: https://doi.org/10.1038/s41467-019-08840-8
ISSN: 2041-1723
Publisher: Nature Research (part of Springer Nature)
Journal / Book Title: Nature Communications
Volume: 10
Issue: 1
Copyright Statement: © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/ .
Sponsor/Funder: Commission of the European Communities
Medical Research Council (MRC)
Funder's Grant Number: Marie Curie CIG
PNSBAKR
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
FUNCTIONAL CONNECTIVITY
PREFRONTAL CORTEX
NEURAL MECHANISMS
HUMAN BRAIN
FMRI
REGIONS
ORGANIZATION
INFORMATION
PATTERNS
MODELS
Adolescent
Adult
Brain
Brain Mapping
Female
Humans
Magnetic Resonance Imaging
Male
Memory, Short-Term
Social Networking
Young Adult
Brain
Humans
Magnetic Resonance Imaging
Brain Mapping
Memory, Short-Term
Adolescent
Adult
Female
Male
Young Adult
Social Networking
Publication Status: Published
Article Number: 936
Online Publication Date: 2019-02-25
Appears in Collections:Department of Medicine
Faculty of Medicine



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