Hierarchy of Connectivity–Function Relationship of the Human Cortex Revealed through Predicting Activity across Functional Domains

Author:

Wu Dongya1234,Fan Lingzhong1235,Song Ming12,Wang Haiyan123,Chu Congying12,Yu Shan123,Jiang Tianzi12356

Affiliation:

1. Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

3. University of Chinese Academy of Sciences, Beijing 100049, China

4. School of Information Science and Technology, Northwest University, Xi’an 710069, China

5. CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

6. The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, China

Abstract

Abstract Many studies showed that anatomical connectivity supports both anatomical and functional hierarchies that span across the primary and association cortices in the cerebral cortex. Even though a structure–function relationship has been indicated to uncouple in the association cortex, it is still unknown whether anatomical connectivity can predict functional activations to the same degree throughout the cortex, and it remains unclear whether a hierarchy of this connectivity–function relationship (CFR) exists across the human cortex. We first addressed whether anatomical connectivity could be used to predict functional activations across different functional domains using multilinear regression models. Then, we characterized the CFR by predicting activity from anatomical connectivity throughout the cortex. We found that there is a hierarchy of CFR between sensory–motor and association cortices. Moreover, this CFR hierarchy was correlated to the functional and anatomical hierarchies, respectively, reflected in functional flexibility and the myelin map. Our results suggest a shared hierarchical mechanism in the cortex, a finding which provides important insights into the anatomical and functional organizations of the human brain.

Funder

National Institutes of Health

Natural Science Foundation of China

Science Frontier Program of the Chinese Academy of Sciences

National Key Research and Development Program of China

Beijing Municipal Science and Technology Commission

Guangdong Pearl River Talents Plan

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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