Open AccessAge‐related structural and functional variations in 5,967 individuals across the adult lifespan
Author(s) -
Luo Na,
Sui Jing,
Abrol Anees,
Lin Dongdong,
Chen Jiayu,
Vergara Victor M.,
Fu Zening,
Du Yuhui,
Damaraju Eswar,
Xu Yong,
Turner Jessica A.,
Calhoun Vince D.
Publication year - 2020
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.24905
Subject(s) - precuneus , default mode network , lingual gyrus , neuroscience , psychology , resting state fmri , cerebellum , insula , cuneus , healthy aging , correlation , human brain , connectome , bayesian multivariate linear regression , cognition , functional connectivity , audiology , linear regression , medicine , gerontology , geometry , mathematics , machine learning , computer science
Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated the relationship between age and brain imaging, the results are heterogeneous due to small sample sizes and relatively narrow age ranges. Here, based on year‐wise estimation of 5,967 subjects from 13 to 72 years old, we aimed to provide a more precise description of adult lifespan variation trajectories of gray matter volume (GMV), structural network correlation (SNC), and functional network connectivity (FNC) using independent component analysis and multivariate linear regression model. Our results revealed the following relationships: (a) GMV linearly declined with age in most regions, while parahippocampus showed an inverted U‐shape quadratic relationship with age; SNC presented a U‐shape quadratic relationship with age within cerebellum, and inverted U‐shape relationship primarily in the default mode network (DMN) and frontoparietal (FP) related correlation. (b) FNC tended to linearly decrease within resting‐state networks (RSNs), especially in the visual network and DMN. Early increase was revealed between RSNs, primarily in FP and DMN, which experienced a decrease at older ages. U‐shape relationship was also revealed to compensate for the cognition deficit in attention and subcortical related connectivity at late years. (c) The link between middle occipital gyrus and insula, as well as precuneus and cerebellum, exhibited similar changing trends between SNC and FNC across the adult lifespan. Collectively, these results highlight the benefit of lifespan study and provide a precise description of age‐related regional variation and SNC/FNC changes based on a large dataset.