Sex-dependent nonlinear Granger connectivity patterns of brain aging in healthy population.

Yu Fu, Le Xue, Meng Niu, Yuanhang Gao, Yanyan Huang, Hong Zhang, Mei Tian, Cheng Zhuo

Lanzhou University, Lanzhou, China; Zhejiang University, Hangzhou, China.Lanzhou University, Lanzhou, China; Zhejiang University, Hangzhou, China. · pubmed

Paper

Abstract

Brain aging is a complex process that involves functional alterations in multiple subnetworks and brain regions. However, most previous studies investigating aging-related functional connectivity (FC) changes using resting-state functional magnetic resonance images (rs-fMRIs) have primarily focused on the linear correlation between brain subnetworks, ignoring the nonlinear casual properties of fMRI signals.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper investigates functional connectivity changes in the brain related to aging, which is pertinent to understanding the aging process itself. However, it primarily focuses on the analysis of brain connectivity patterns rather than addressing root causes of aging or proposing interventions for lifespan extension. The findings may contribute to the field of neuroscience but do not significantly advance the broader goals of longevity research.

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