In:
PLOS Biology, Public Library of Science (PLoS), Vol. 21, No. 9 ( 2023-9-25), p. e3002314-
Abstract:
The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, and synchronized neural activity all reflect how brain regions potentially interact with one another, a comprehensive study of how all these interregional relationships jointly reflect brain structure and function remains missing. Here, we systematically integrate 7 multimodal, multiscale types of interregional similarity (“connectivity modes”) derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, and electrophysiology in humans. We first show that for all connectivity modes, feature similarity decreases with distance and increases when regions are structurally connected. Next, we show that connectivity modes exhibit unique and diverse connection patterns, hub profiles, spatial gradients, and modular organization. Throughout, we observe a consistent primacy of molecular connectivity modes—namely correlated gene expression and receptor similarity—that map onto multiple phenomena, including the rich club and patterns of abnormal cortical thickness across 13 neurological, psychiatric, and neurodevelopmental disorders. Finally, to construct a single multimodal wiring map of the human cortex, we fuse all 7 connectivity modes and show that the fused network maps onto major organizational features of the cortex including structural connectivity, intrinsic functional networks, and cytoarchitectonic classes. Altogether, this work contributes to the integrative study of interregional relationships in the human cerebral cortex.
Type of Medium:
Online Resource
ISSN:
1545-7885
DOI:
10.1371/journal.pbio.3002314
DOI:
10.1371/journal.pbio.3002314.g001
DOI:
10.1371/journal.pbio.3002314.g002
DOI:
10.1371/journal.pbio.3002314.g003
DOI:
10.1371/journal.pbio.3002314.g004
DOI:
10.1371/journal.pbio.3002314.g005
DOI:
10.1371/journal.pbio.3002314.g006
DOI:
10.1371/journal.pbio.3002314.s001
DOI:
10.1371/journal.pbio.3002314.s002
DOI:
10.1371/journal.pbio.3002314.s003
DOI:
10.1371/journal.pbio.3002314.s004
DOI:
10.1371/journal.pbio.3002314.s005
DOI:
10.1371/journal.pbio.3002314.s006
DOI:
10.1371/journal.pbio.3002314.s007
DOI:
10.1371/journal.pbio.3002314.s008
DOI:
10.1371/journal.pbio.3002314.s009
DOI:
10.1371/journal.pbio.3002314.s010
DOI:
10.1371/journal.pbio.3002314.s011
DOI:
10.1371/journal.pbio.3002314.r001
DOI:
10.1371/journal.pbio.3002314.r002
DOI:
10.1371/journal.pbio.3002314.r003
DOI:
10.1371/journal.pbio.3002314.r004
DOI:
10.1371/journal.pbio.3002314.r005
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
2126773-X
Permalink