Estimating brain age based on a uniform healthy population with deep learning and structural MRI

Xinyang Feng
Xinyang Feng
Jie Yang
Jie Yang
Scott A Small
Scott A Small
Frank A Provenzano
Frank A Provenzano
Alzheimer’s Disease Neuroimaging Initiative
Alzheimer’s Disease Neuroimaging Initiative
Frontotemporal Lobar Degeneration Neuroimaging Initiative
Frontotemporal Lobar Degeneration Neuroimaging Initiative

Neurobiology of Aging, 2020.

Cited by: 0|Views28

Abstract:

Numerous studies have established that estimated brain age, as derived from statistical models trained on healthy populations, constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, we curate a large-scale heterogeneous dataset (N = 10,158, age range 18 - 97) of structural...More

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