Article

Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability

2020-09-03

Abstract excerpt

Variation in cognitive ability arises from subtle differences in underlying neural architectural properties. Understanding and predicting individual variability in cognition from the differences in brain networks requires harnessing the unique variance captured by different neuroimaging modalities. Here we adopted a multi-level machine learning approach that combines diffusion, functional, and structural MRI data...

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Literature Corpus work: a67a4eb6-90c1-5b54-8dd2-158b4c6ed7c2
DOI: 10.1101/2020.09.01.278747

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