Toward precision psychiatry: Statistical platform for the personalized characterization of natural behaviors

Elizabeth B. Torres, Robert W. Isenhower, Jillian Nguyen, Caroline Whyatt, John Nurnberger, Jorge V. Jose, Steven M. Silverstein, Thomas V. Papathomas, Jacob Sage, Jonathan Cole

Research output: Contribution to journalArticle

30 Citations (Scopus)

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 heterogeneous cohort comprising typical and pathological cases. We empirically estimate the statistical parameters of the probability distributions for each individual in the cohort and report the parameter ranges for each clinical group after characterization of healthy developing and aging groups. We coin this newly proposed platform for individualized behavioral analyses "precision phenotyping" to distinguish it from the type of observational-behavioral phenotyping prevalent in clinical studies or from the "one-size-fits-all" model in basic movement science. We further propose the use of this platform as a unifying statistical framework to characterize brain disorders of known etiology in relation to idiopathic neurological disorders with similar phenotypic manifestations.

Original languageEnglish (US)
Article number8
JournalFrontiers in Neurology
Volume7
Issue numberFEB
DOIs
StatePublished - Feb 2 2016

Fingerprint

Nervous System Diseases
Psychiatry
Behavioral Sciences
Numismatics
Brain Diseases
Neurosciences
Biomechanical Phenomena
Mental Disorders
Sports
Parkinson Disease
Noise
Schizophrenia
Patient Care
Research
Autism Spectrum Disorder
Clinical Studies

Keywords

  • Autism spectrum disorders
  • Deafferentation
  • Parkinson's disease
  • Precision phenotyping
  • Schizophrenia
  • Sensory-motor noise

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

Cite this

Toward precision psychiatry : Statistical platform for the personalized characterization of natural behaviors. / Torres, Elizabeth B.; Isenhower, Robert W.; Nguyen, Jillian; Whyatt, Caroline; Nurnberger, John; Jose, Jorge V.; Silverstein, Steven M.; Papathomas, Thomas V.; Sage, Jacob; Cole, Jonathan.

In: Frontiers in Neurology, Vol. 7, No. FEB, 8, 02.02.2016.

Research output: Contribution to journalArticle

Torres, EB, Isenhower, RW, Nguyen, J, Whyatt, C, Nurnberger, J, Jose, JV, Silverstein, SM, Papathomas, TV, Sage, J & Cole, J 2016, 'Toward precision psychiatry: Statistical platform for the personalized characterization of natural behaviors', Frontiers in Neurology, vol. 7, no. FEB, 8. https://doi.org/10.3389/fneur.2016.00008
Torres, Elizabeth B. ; Isenhower, Robert W. ; Nguyen, Jillian ; Whyatt, Caroline ; Nurnberger, John ; Jose, Jorge V. ; Silverstein, Steven M. ; Papathomas, Thomas V. ; Sage, Jacob ; Cole, Jonathan. / Toward precision psychiatry : Statistical platform for the personalized characterization of natural behaviors. In: Frontiers in Neurology. 2016 ; Vol. 7, No. FEB.
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