Examining the reliability of brain age algorithms under varying degrees of participant motion

Examining the reliability of brain age algorithms under varying degrees of participant motion

Abstract Brain age algorithms using data science and machine learning techniques show promise as biomarkers for neurodegenerative disorders and aging. However, head motion during MRI scanning may compromise image quality and influence brain age estimates. We examined the effects of motion on brain a...

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Bibliographic Details
Main Authors: Jamie L. Hanson, Dorthea J. Adkins, Eva Bacas, Peiran Zhou
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Brain Informatics
Subjects:
Brain age
Neuroimaging
MRI
Motion artifacts
Image quality
Algorithm Reliability
Online Access:https://doi.org/10.1186/s40708-024-00223-0

Internet

https://doi.org/10.1186/s40708-024-00223-0

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