BRAIN AGE PREDICTION BASED ON RESTING-STATE FUNCTIONAL CONNECTIVITY PATTERNS USING CONVOLUTIONAL NEURAL NETWORKS

Brain age prediction based on neuroimaging data could help characterize both the typical brain development and neuropsychiatric disorders. Pattern recognition models built upon functional connectivity (FC) measures derived from resting state fMRI (rsfMRI) data have been successfully used to predict...

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Bibliographic Details
Published in:Proc IEEE Int Symp Biomed Imaging
Main Authors: Li, Hongming, Satterthwaite, Theodore D., Fan, Yong
Format: Artigo
Language:Inglês
Published: 2018
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6074039/
https://ncbi.nlm.nih.gov/pubmed/30079125
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2018.8363532
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