Murat Demirtas
Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics
Demirtas, Murat; Burt, Joshua B.; Helmer, Markus; Ji, Jie Lisa; Adkinson, Brendan D.; Glasser, Matthew F.; Van Essen, David C.; Sotiropoulos, Stamatios N.; Anticevic, Alan; Murray, John D.
Authors
Joshua B. Burt
Markus Helmer
Jie Lisa Ji
Brendan D. Adkinson
Matthew F. Glasser
David C. Van Essen
Professor STAMATIOS SOTIROPOULOS STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK
PROFESSOR OF COMPUTATIONAL NEUROIMAGING
Alan Anticevic
John D. Murray
Contributors
Professor STAMATIOS SOTIROPOULOS STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK
Research Group
Abstract
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 MRI-derived T1w/T2w mapping, and fit the model using multimodal neuroimaging data. We found that incorporating hierarchical heterogeneity substantially improves the model fit to fMRI-measured resting-state functional connectivity and captures sensory-association organization of multiple fMRI features. The model predicts hierarchically organized high-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.
Citation
Demirtas, M., Burt, J. B., Helmer, M., Ji, J. L., Adkinson, B. D., Glasser, M. F., Van Essen, D. C., Sotiropoulos, S. N., Anticevic, A., & Murray, J. D. (2019). Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics. Neuron, 101(6), 1181-1194.e13. https://doi.org/10.1016/j.neuron.2019.01.017
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 10, 2019 |
Online Publication Date | Feb 7, 2019 |
Publication Date | Mar 20, 2019 |
Deposit Date | Feb 8, 2019 |
Publicly Available Date | Feb 8, 2020 |
Journal | Neuron |
Print ISSN | 0896-6273 |
Electronic ISSN | 1097-4199 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 101 |
Issue | 6 |
Pages | 1181-1194.e13 |
DOI | https://doi.org/10.1016/j.neuron.2019.01.017 |
Keywords | General Neuroscience |
Public URL | https://nottingham-repository.worktribe.com/output/1529307 |
Publisher URL | https://www.cell.com/neuron/fulltext/S0896-6273(19)30044-3 |
Additional Information | This article is maintained by: Elsevier; Article Title: Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics; Journal Title: Neuron; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.neuron.2019.01.017; Content Type: article; Copyright: © 2019 Elsevier Inc. |
Contract Date | Feb 8, 2019 |
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