Alterations of functional connectivities from early to middle adulthood: Clues from multivariate pattern analysis of resting-state fMRI data

NeuroImage
Lixia TianLinlin Wang

Abstract

In contrast to extended research interests in the maturation and aging of human brain, alterations of brain structure and function from early to middle adulthood have been much less studied. The aim of the present study was to investigate the extent and pattern of the alterations of functional interactions between brain regions from early to middle adulthood. We carried out the study by multivariate pattern analysis of resting-state fMRI (RS-fMRI) data of 63 adults aged 18 to 45 years. Specifically, using elastic net, we performed brain age estimation and age-group classification (young adults aged 18-28 years vs. middle-aged adults aged 35-45 years) based on the resting-state functional connectivities (RSFCs) between 160 regions of interest (ROIs) evaluated on the RS-fMRI data of each subject. The results indicate that the estimated brain ages were significantly correlated with the chronological age (R=0.78, MAE=4.81), and a classification rate of 94.44% and area under the receiver operating characteristic curve (AUC) of 0.99 were obtained when classifying the young and middle-aged adults. These results provide strong evidence that functional interactions between brain regions undergo notable alterations from early to middle a...Continue Reading

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Citations

Mar 4, 2019·The Cerebellum·Pavel FilipMartin Bareš
Sep 3, 2019·Frontiers in Neurology·Katja Franke, Christian Gaser
Nov 9, 2018·Frontiers in Aging Neuroscience·Trang T LeUNKNOWN Tulsa 1000 Investigators
Aug 22, 2017·Frontiers in Human Neuroscience·Lixia Tian, Lin Ma
Dec 13, 2019·Frontiers in Neuroscience·Chen ChenLixia Tian
Feb 5, 2021·Frontiers in Aging Neuroscience·Yinghui ZhangBin Hu
Mar 7, 2021·NeuroImage·Lixia TianTianhui Shen

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