New approach can help detect, predict mental health symptoms in adolescents by analyzing brain-environment interactions

The majority of mental health disorders manifest during adolescence and relate to a multiple interplay of neurobiological and environmental factors. Instead of considering these factors in isolation, a newly developed manifold learning technique can model brain–environmental interactions, which vastly improves detection of existing mental health symptoms and prediction of future ones compared to current methods.

This article was originally published on MedicalXpress.com

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