Gradients of structure-function tethering across neocortex

作     者：Vazquez-Rodriguez, Bertha Suarez, Laura E. Markello, Ross D. Shafiei, Golia Paquola, Casey Hagmann, Patric van den Heuvel, Martijn P. Bernhardt, Boris C. Spreng, R. Nathan Misic, Bratislav 

作者机构：McGill Univ Montreal Neurol Inst McConnell Brain Imaging Ctr Montreal PQ H3A 2B4 Canada Ecole Polytech Fed Lausanne Signal Proc Lab LTS5 CH-1015 Lausanne Switzerland Vrije Univ Amsterdam Ctr Neurogen & Cognit Res NL-1081 HV Amsterdam Netherlands 

出 版 物：《PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA》 (美国国家科学院汇刊)

年 卷 期：2019年第116卷第42期

页      面：21219-21227页

核心收录：

学科分类：07[理学] 08[工学] 

基　　金：Canada First Research Excellence Fund Natural Sciences and Engineering Research Council of Canada (Discovery Grant RGPIN) [017-04265] Canada Research Chairs Program Fonds de Recherche du Quebec - Sante (Chercheur Boursier) 

主　　题：connectome structure-function cortical gradient 

摘      要：The white matter architecture of the brain imparts a distinct signature on neuronal coactivation patterns. Interregional projections promote synchrony among distant neuronal populations, giving rise to richly patterned functional networks. A variety of statistical, communication, and biophysical models have been proposed to study the relationship between brain structure and function, but the link is not yet known. In the present report we seek to relate the structural and functional connection profiles of individual brain areas. We apply a simple multilinear model that incorporates information about spatial proximity, routing, and diffusion between brain regions to predict their functional connectivity. We find that structure-function relationships vary markedly across the neocortex. Structure and function correspond closely in unimodal, primary sensory, and motor regions, but diverge in transmodal cortex, particularly the default mode and salience networks. The divergence between structure and function systematically follows functional and cytoarchitectonic hierarchies. Altogether, the present results demonstrate that structural and functional networks do not align uniformly across the brain, but gradually uncouple in higher-order polysensory areas.