Prediction of individual brain age using movie and resting-state fMRI
S Bi, Y Guan, L Tian - Cerebral Cortex, 2024 - academic.oup.com
Brain age is a promising biomarker for predicting chronological age based on brain imaging
data. Although movie and resting-state functional MRI techniques have attracted much …
data. Although movie and resting-state functional MRI techniques have attracted much …
[HTML][HTML] Beyond network connectivity: A classification approach to brain age prediction with resting-state fMRI
SK Sorooshyari - NeuroImage, 2024 - Elsevier
The brain is a complex, dynamic organ that shows differences in the same subject at various
periods. Understanding how brain activity changes across age as a function of the brain …
periods. Understanding how brain activity changes across age as a function of the brain …
[HTML][HTML] Morphological brain age prediction using multi-view brain networks derived from cortical morphology in healthy and disordered participants
J Corps, I Rekik - Scientific reports, 2019 - nature.com
Brain development and aging are dynamic processes that unfold over years on multiple
levels in both healthy and disordered individuals. Recent studies have revealed a disparity …
levels in both healthy and disordered individuals. Recent studies have revealed a disparity …
Connectome-based predictive models using resting-state fMRI for studying brain aging
Abstract Changes in the brain with age can provide useful information regarding an
individual's chronological age. studies have suggested that functional connectomes …
individual's chronological age. studies have suggested that functional connectomes …
Brain age acceleration as biomarker of Alzheimer's disease progression: Functional network connectivity analysis
MSE Sendi, DH Salat, VD Calhoun - Alzheimer's & Dementia, 2021 - Wiley Online Library
Background The brain age gap, the difference between an individual's brain predicted age
and chronological age, is used as a brain disease biomarker and aging. To date, although …
and chronological age, is used as a brain disease biomarker and aging. To date, although …
Age Prediction Using Resting-State Functional MRI
The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …
importance of comprehending the aging process of the brain. Contrary to visible signs of …
Age prediction using resting-state functional MRI
The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …
importance of comprehending the aging process of the brain. Contrary to visible signs of …
[HTML][HTML] Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
To learn multiscale functional connectivity patterns of the aging brain, we built a brain age
prediction model of functional connectivity measures at seven scales on a large fMRI …
prediction model of functional connectivity measures at seven scales on a large fMRI …
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders
The deviation between chronological age and age predicted using brain MRI is a putative
marker of overall brain health. Age prediction based on structural MRI data shows high …
marker of overall brain health. Age prediction based on structural MRI data shows high …
Brain age prediction across the human lifespan using multimodal MRI data
Measuring differences between an individual's age and biological age with biological
information from the brain have the potential to provide biomarkers of clinically relevant …
information from the brain have the potential to provide biomarkers of clinically relevant …