Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors.

ABSTRACT: There is a critical need for new analytics to personalize behavioral data analysis across different fields, including kinesiology, sports science, and behavioral neuroscience. Specifically, to better translate and integrate basic research into patient care, we need to radically transform the methods by which we describe and interpret movement data. Here, we show that hidden in the "noise," smoothed out by averaging movement kinematics data, lies a wealth of information that selectively differentiates neurological and mental disorders such as Parkinson's disease, deafferentation, autism spectrum disorders, and schizophrenia from typically developing and typically aging controls. In this report, we quantify the continuous forward-and-back pointing movements of participants from a large heter

SUBMITTER: Torres EB 

PROVIDER: S-EPMC4735831 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature