Subject Specificity of the Correlation Between Large-scale Structural and Functional Connectivity

Overview

Journal Netw Neurosci

Publisher MIT Press

Specialty Neurology

Date 2019 Feb 23

PMID 30793075

Citations 19

Authors

J Zimmermann

J Griffiths

M Schirner

P Ritter

A R McIntosh

Affiliations

Soon will be listed here.

Abstract

Structural connectivity (SC), the physical pathways connecting regions in the brain, and functional connectivity (FC), the temporal coactivations, are known to be tightly linked. However, the nature of this relationship is still not understood. In the present study, we examined this relation more closely in six separate human neuroimaging datasets with different acquisition and preprocessing methods. We show that using simple linear associations, the relation between an individual's SC and FC is not subject specific for five of the datasets. Subject specificity of SC-FC fit is achieved only for one of the six datasets, the multimodal Glasser Human Connectome Project (HCP) parcellated dataset. We show that subject specificity of SC-FC correspondence is limited across datasets due to relatively small variability between subjects in SC compared with the larger variability in FC.

Citing Articles

Predicting an individual's functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects.

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Recent Progress in Brain Network Models for Medical Applications: A Review.

Ye C, Zhang Y, Ran C, Ma T Health Data Sci. 2024; 4:0157.

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Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks.

Chen P, Yang H, Zheng X, Jia H, Hao J, Xu X bioRxiv. 2023; .

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Comparing individual and group-level simulated neurophysiological brain connectivity using the Jansen and Rit neural mass model.

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