Diffusion time-related structure-function coupling reveals differential association with inter-individual variations in body mass index

  • Namgung, Jong Young
  • Park, Yeongjun
  • Park, Yunseo
  • Kim, Chae Yeon
  • Park, Bo-yong
Citations

WEB OF SCIENCE

4
Citations

SCOPUS

4

초록

Body mass index (BMI) is an indicator of obesity, and recent neuroimaging studies have demonstrated that interindividual variations in BMI are associated with altered brain structure and function. However, the mechanism underlying the alteration of structure-function correspondence according to BMI is under-investigated. In this study, we studied structural and functional connectivity derived from diffusion MRI tractography and interregional correlations of functional MRI time series, respectively. We combined the structural and functional connectivity information using the Riemannian optimization approach. First, the low-dimensional principal eigenvectors (i.e., gradients) of the structural connectivity were generated by applying diffusion map embedding with varying diffusion times. A transformation was identified so that the structural and functional embeddings share the same coordinate system, and subsequently, the functional connectivity matrix was simulated. Then, we generated gradients from the simulated functional connectivity matrix. We found the most apparent cortical hierarchical organization differentiating between low-level sensory and higher-order transmodal regions in the middle of the diffusion time, indicating that the hierarchical organization of the brain may reflect the intermediate mechanisms of mono- and polysynaptic communications. Associations between the functional gradients and BMI were strongest when the hierarchical structure was the most evident. Moreover, the gradient-BMI association map was related to the microstructural features, and the findings indicated that the BMI-related structure-function coupling was significantly associated with brain microstructure, particularly in higher-order transmodal areas. Finally, transcriptomic association analysis revealed the potential biological underpinnings specifying gene enrichment in the striatum, hypothalamus, and cortical cells. Our findings provide evidence that structure-function correspondence is strongly coupled with BMI when hierarchical organization is the most apparent and that the associations are related to the multiscale properties of the brain, leading to an advanced understanding of the neural mechanisms related to BMI.

키워드

Structure-function couplingRiemannian optimizationSynaptic communicationDiffusion timeBody mass indexHUMAN CEREBRAL-CORTEXSURFACE-BASED ANALYSISRESTING-STATEHUMAN BRAINCONNECTIVITYNETWORKOBESITYSYSTEMNEURONSTENSOR
제목
Diffusion time-related structure-function coupling reveals differential association with inter-individual variations in body mass index
저자
Namgung, Jong YoungPark, YeongjunPark, YunseoKim, Chae YeonPark, Bo-yong
DOI
10.1016/j.neuroimage.2024.120590
발행일
2024-05
유형
Article
저널명
NeuroImage
291