Multimodal fusion analysis of functional, cerebrovascular and structural neuroimaging in healthy aging subjects.

ABSTRACT: Brain aging is a complex process that requires a multimodal approach. Neuroimaging can provide insights into brain morphology, functional organization, and vascular dynamics. However, most neuroimaging studies of aging have focused on each imaging modality separately, limiting the understanding of interrelations between processes identified by different modalities and their relevance to cognitive decline in aging. Here, we used a data-driven multimodal approach, linked independent component analysis (ICA), to jointly analyze magnetic resonance imaging (MRI) of grey matter volume, cerebrovascular, and functional network topographies in relation to measures of fluid intelligence. Neuroimaging and cognitive data from the Cambridge Centre for Ageing and Neuroscience study were used, with healt

SUBMITTER: Liu X 

PROVIDER: S-EPMC9704789 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature