The effect of head motion on brain age prediction using deep convolutional neural networks
Pál Vakli,
Béla Weiss,
Dorina Rozmann
et al.
Abstract:Deep learning can be used effectively to predict participants’ age from brain magnetic resonance imaging (MRI) data, and a growing body of evidence suggests that the difference between predicted and chronological age—referred to as brain-predicted age difference (brain-PAD)—is related to various neurological and neuropsychiatric disease states. A crucial aspect of the applicability of brain-PAD as a biomarker of individual brain health is whether and how brain-predicted age is affected by MR image artifacts co… Show more
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