Article

Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes

2022-03-04

Abstract excerpt

There is increasing expectation that advanced, computationally expensive machine learning techniques, when applied to large population-wide neuroimaging datasets, will help to uncover key differences in the human brain in health and disease. We take a comprehensive approach to explore how multiple aspects of brain structural connectivity can predict sex, age, general cognitive function and general psychopathology,...

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Literature Corpus work: 5c72380a-0a5e-54fd-bb42-c20bee29e9ff
DOI: 10.1101/2022.03.03.22271801

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