Discrete Ricci curvatures capture age-related changes in human brain functional connectivity networks

Frontiers in Aging Neuroscience

Aging Neuroscience

Nitin Williams¹  Jürgen Jost²  Pavithra Elumalai³  Areejit Samal⁴  Yasharth Yadav⁵ 

[1] Department of Computer Science, Helsinki Institute of Information Technology, Aalto University, Espoo, Finland;Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland;Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany;The Santa Fe Institute, Santa Fe, NM, United States;The Institute of Mathematical Sciences (IMSc), Chennai, India;The Institute of Mathematical Sciences (IMSc), Chennai, India;Homi Bhabha National Institute (HBNI), Mumbai, India;The Institute of Mathematical Sciences (IMSc), Chennai, India;Indian Institute of Science Education and Research (IISER), Pune, India;

关键词: Forman-Ricci curvature;    Ollivier-Ricci curvature;    healthy aging;    resting-state fMRI;    functional connectivity networks;    MPI-LEMON;    non-invasive brain stimulation;    motor performance;   

DOI  :  10.3389/fnagi.2023.1120846

 received in 2022-12-10, accepted in 2023-05-02,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionGeometry-inspired notions of discrete Ricci curvature have been successfully used as markers of disrupted brain connectivity in neuropsychiatric disorders, but their ability to characterize age-related changes in functional connectivity is unexplored.MethodsWe apply Forman-Ricci curvature and Ollivier-Ricci curvature to compare functional connectivity networks of healthy young and older subjects from the Max Planck Institute Leipzig Study for Mind-Body-Emotion Interactions (MPI-LEMON) dataset (N = 225).ResultsWe found that both Forman-Ricci curvature and Ollivier-Ricci curvature can capture whole-brain and region-level age-related differences in functional connectivity. Meta-analysis decoding demonstrated that those brain regions with age-related curvature differences were associated with cognitive domains known to manifest age-related changes—movement, affective processing, and somatosensory processing. Moreover, the curvature values of some brain regions showing age-related differences exhibited correlations with behavioral scores of affective processing. Finally, we found an overlap between brain regions showing age-related curvature differences and those brain regions whose non-invasive stimulation resulted in improved movement performance in older adults.DiscussionOur results suggest that both Forman-Ricci curvature and Ollivier-Ricci curvature correctly identify brain regions that are known to be functionally or clinically relevant. Our results add to a growing body of evidence demonstrating the sensitivity of discrete Ricci curvature measures to changes in the organization of functional connectivity networks, both in health and disease.

【 授权许可】

Unknown   
Copyright © 2023 Yadav, Elumalai, Williams, Jost and Samal.