Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy regulation in youth. Recent studies indicate that m...

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Bibliographic Details
Main Authors: Amelia Versace, Vinod Sharma, Michele A Bertocci, Genna Bebko, Satish Iyengar, Amanda Dwojak, Lisa Bonar, Susan B Perlman, Claudiu Schirda, Michael Travis, Mary Kay Gill, Vaibhav A Diwadkar, Jeffrey L Sunshine, Scott K Holland, Robert A Kowatch, Boris Birmaher, David Axelson, Thomas W Frazier, L Eugene Arnold, Mary A Fristad, Eric A Youngstrom, Sarah M Horwitz, Robert L Findling, Mary L Phillips
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0180221

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https://doi.org/10.1371/journal.pone.0180221

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