Structurally-Constrained Relationships between Cognitive States in the Human Brain
Identifieur interne : 001167 ( Main/Merge ); précédent : 001166; suivant : 001168Structurally-Constrained Relationships between Cognitive States in the Human Brain
Auteurs : Ann M. Hermundstad [États-Unis] ; Kevin S. Brown [États-Unis] ; Danielle S. Bassett [États-Unis] ; Elissa M. Aminoff [États-Unis] ; Amy Frithsen [États-Unis] ; Arianne Johnson [États-Unis] ; Christine M. Tipper [Canada] ; Michael B. Miller [États-Unis] ; Scott T. Grafton [États-Unis] ; Jean M. Carlson [États-Unis]Source :
- PLoS Computational Biology [ 1553-734X ] ; 2014.
Descripteurs français
- KwdFr :
- Attention (physiologie), Cognition (physiologie), Connectome (), Encéphale (anatomie et histologie), Encéphale (physiologie), Humains, Modèles anatomiques, Modèles neurologiques, Mémoire (physiologie), Réseau nerveux (anatomie et histologie), Réseau nerveux (physiologie), Simulation numérique, Substance blanche (anatomie et histologie), Substance blanche (physiologie).
- MESH :
- anatomie et histologie : Encéphale, Réseau nerveux, Substance blanche.
- physiologie : Attention, Cognition, Encéphale, Mémoire, Réseau nerveux, Substance blanche.
- Connectome, Humains, Modèles anatomiques, Modèles neurologiques, Simulation numérique.
English descriptors
- KwdEn :
- Attention (physiology), Brain (anatomy & histology), Brain (physiology), Cognition (physiology), Computer Simulation, Connectome (methods), Humans, Memory (physiology), Models, Anatomic, Models, Neurological, Nerve Net (anatomy & histology), Nerve Net (physiology), White Matter (anatomy & histology), White Matter (physiology).
- MESH :
- anatomy & histology : Brain, Nerve Net, White Matter.
- methods : Connectome.
- physiology : Attention, Brain, Cognition, Memory, Nerve Net, White Matter.
- Computer Simulation, Humans, Models, Anatomic, Models, Neurological.
Abstract
The anatomical connectivity of the human brain supports diverse patterns of correlated neural activity that are thought to underlie cognitive function. In a manner sensitive to underlying structural brain architecture, we examine the extent to which such patterns of correlated activity systematically vary across cognitive states. Anatomical white matter connectivity is compared with functional correlations in neural activity measured via blood oxygen level dependent (BOLD) signals. Functional connectivity is separately measured at rest, during an attention task, and during a memory task. We assess these structural and functional measures within previously-identified resting-state functional networks, denoted task-positive and task-negative networks, that have been independently shown to be strongly anticorrelated at rest but also involve regions of the brain that routinely increase and decrease in activity during task-driven processes. We find that the density of anatomical connections within and between task-positive and task-negative networks is differentially related to strong, task-dependent correlations in neural activity. The space mapped out by the observed structure-function relationships is used to define a quantitative measure of separation between resting, attention, and memory states. We find that the degree of separation between states is related to both general measures of behavioral performance and relative differences in task-specific measures of attention versus memory performance. These findings suggest that the observed separation between cognitive states reflects underlying organizational principles of human brain structure and function.
Url:
DOI: 10.1371/journal.pcbi.1003591
PubMed: 24830758
PubMed Central: 4022461
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PMC:4022461Le document en format XML
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Attention (physiology)</term>
<term>Brain (anatomy & histology)</term>
<term>Brain (physiology)</term>
<term>Cognition (physiology)</term>
<term>Computer Simulation</term>
<term>Connectome (methods)</term>
<term>Humans</term>
<term>Memory (physiology)</term>
<term>Models, Anatomic</term>
<term>Models, Neurological</term>
<term>Nerve Net (anatomy & histology)</term>
<term>Nerve Net (physiology)</term>
<term>White Matter (anatomy & histology)</term>
<term>White Matter (physiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Attention (physiologie)</term>
<term>Cognition (physiologie)</term>
<term>Connectome ()</term>
<term>Encéphale (anatomie et histologie)</term>
<term>Encéphale (physiologie)</term>
<term>Humains</term>
<term>Modèles anatomiques</term>
<term>Modèles neurologiques</term>
<term>Mémoire (physiologie)</term>
<term>Réseau nerveux (anatomie et histologie)</term>
<term>Réseau nerveux (physiologie)</term>
<term>Simulation numérique</term>
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<keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Brain</term>
<term>Nerve Net</term>
<term>White Matter</term>
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<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Attention</term>
<term>Cognition</term>
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<term>Mémoire</term>
<term>Réseau nerveux</term>
<term>Substance blanche</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Attention</term>
<term>Brain</term>
<term>Cognition</term>
<term>Memory</term>
<term>Nerve Net</term>
<term>White Matter</term>
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<term>Humans</term>
<term>Models, Anatomic</term>
<term>Models, Neurological</term>
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<keywords scheme="MESH" xml:lang="fr"><term>Connectome</term>
<term>Humains</term>
<term>Modèles anatomiques</term>
<term>Modèles neurologiques</term>
<term>Simulation numérique</term>
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<front><div type="abstract" xml:lang="en"><p>The anatomical connectivity of the human brain supports diverse patterns of correlated neural activity that are thought to underlie cognitive function. In a manner sensitive to underlying structural brain architecture, we examine the extent to which such patterns of correlated activity systematically vary across cognitive states. Anatomical white matter connectivity is compared with functional correlations in neural activity measured via blood oxygen level dependent (BOLD) signals. Functional connectivity is separately measured at rest, during an attention task, and during a memory task. We assess these structural and functional measures within previously-identified resting-state functional networks, denoted task-positive and task-negative networks, that have been independently shown to be strongly anticorrelated at rest but also involve regions of the brain that routinely increase and decrease in activity during task-driven processes. We find that the density of anatomical connections within and between task-positive and task-negative networks is differentially related to strong, task-dependent correlations in neural activity. The space mapped out by the observed structure-function relationships is used to define a quantitative measure of separation between resting, attention, and memory states. We find that the degree of separation between states is related to both general measures of behavioral performance and relative differences in task-specific measures of attention versus memory performance. These findings suggest that the observed separation between cognitive states reflects underlying organizational principles of human brain structure and function.</p>
</div>
</front>
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