Group‐guided individual functional parcellation of the hippocampus and application to normal aging. Issue 18 (16th September 2021)

• Record Type: Journal Article
• Authors: Zhang, Jiang; Xu, Dundi; Cui, Hongjie; Zhao, Tianyu; Chu, Congying; Wang, Jiaojian
• Is Part Of: Human brain mapping. Volume 42:Issue 18(2021)
• Page Start: 5973
• Page End: 5984
• Publication Date: 2021-09-16
• Subjects: affinity propagation -- aging -- hippocampus -- individual parcellation -- resting‐state fMRI; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.25662
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Aging is closely associated with cognitive decline affecting attention, memory and executive functions. The hippocampus is the core brain area for human memory, learning, and cognition processing. To delineate the individual functional patterns of hippocampus is pivotal to reveal the neural basis of aging. In this study, we developed a group‐guided individual parcellation approach based on semisupervised affinity propagation clustering using the resting‐state functional magnetic resonance imaging to identify individual functional subregions of hippocampus and to identify the functional patterns of each subregion during aging. A three‐way group parcellation was yielded and was taken as prior information to guide individual parcellation of hippocampus into head, body, and tail in each subject. The superiority of individual parcellation of hippocampus is validated by higher intraregional functional similarities by compared to group‐level parcellation results. The individual variations of hippocampus were associated with coactivation patterns of three typical functions of hippocampus. Moreover, the individual functional connectivities of hippocampus subregions with predefined target regions could better predict age than group‐level functional connectivities. Our study provides a novel framework for individual brain functional parcellations, which may facilitate the future individual researches for brain cognitions and brain disorders and directing accurate neuromodulation. Abstract : A new individual parcellation approach was developed. Individual variations were associated with coactivation patterns of cognitive functions. The individual functional connections can better predict age.