3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores.

Different aspects of cognitive functions are affected in patients with Alzheimer's disease. To date, little is known about the associations between features from brain-imaging and individual Alzheimer's disease (AD)-related cognitive functional changes. In addition, how these associations differ among different imaging modalities is unclear.