Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics.
brain networks
computational model
cortical gradients
cortical hierarchy
functional connectivity
large-scale modeling
magnetoencephalography
resting-state fMRI
structural connectivity
Journal
Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320
Informations de publication
Date de publication:
20 03 2019
20 03 2019
Historique:
received:
07
06
2018
revised:
04
12
2018
accepted:
10
01
2019
pubmed:
13
2
2019
medline:
5
11
2019
entrez:
13
2
2019
Statut:
ppublish
Résumé
The large-scale organization of dynamical neural activity across cortex emerges through long-range interactions among local circuits. We hypothesized that large-scale dynamics are also shaped by heterogeneity of intrinsic local properties across cortical areas. One key axis along which microcircuit properties are specialized relates to hierarchical levels of cortical organization. We developed a large-scale dynamical circuit model of human cortex that incorporates heterogeneity of local synaptic strengths, following a hierarchical axis inferred from magnetic resonance imaging (MRI)-derived T1- to T2-weighted (T1w/T2w) mapping and fit the model using multimodal neuroimaging data. We found that incorporating hierarchical heterogeneity substantially improves the model fit to functional MRI (fMRI)-measured resting-state functional connectivity and captures sensory-association organization of multiple fMRI features. The model predicts hierarchically organized higher-frequency spectral power, which we tested with resting-state magnetoencephalography. These findings suggest circuit-level mechanisms linking spatiotemporal levels of analysis and highlight the importance of local properties and their hierarchical specialization on the large-scale organization of human cortical dynamics.
Identifiants
pubmed: 30744986
pii: S0896-6273(19)30044-3
doi: 10.1016/j.neuron.2019.01.017
pmc: PMC6447428
mid: NIHMS1518672
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1181-1194.e13Subventions
Organisme : NIMH NIH HHS
ID : R01 MH060974
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH108590
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH112746
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR000141
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
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