Structural and functional network analysis of twins using fMRI data

Document Type

Article

Publication Date

11-15-2023

Abstract

Similarities between twins have been widely demonstrated, underscoring the remarkable influence of genetics across numerous traits. In this study, we explore the genetic underpinnings of the human brain by examining MRI data from the Queensland Twin Imaging study. Specifically, this study seeks to compare brain structure and function between twins and unrelated subjects, with an emphasis on describing the effects of genetic factors. To achieve these goals, we employed the source-based morphometry method to extract intrinsic components and elucidate recognizable patterns. Our results show that twins exhibit a higher degree of similarity in gray and white matter density compared with unrelated individuals. In addition, four distinct states of brain activity were identified using coactivation patterns analysis. Furthermore, twins demonstrated a greater degree of similarity in the temporal and spatial features of each state compared with unrelated subjects. Taken together, these results support the hypothesis that twins show greater similarity in both brain structure and dynamic functional brain activity. Further exploration of these methods may advance our understanding of the complex interplay between genes, environment, and brain networks.

Identifier

85177103130 (Scopus)

Publication Title

Cerebral Cortex

External Full Text Location

https://doi.org/10.1093/cercor/bhad345

e-ISSN

14602199

ISSN

10473211

PubMed ID

37771046

First Page

11060

Last Page

11069

Issue

22

Volume

33

Grant

NSFC62171101

Fund Ref

National Natural Science Foundation of China

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