Citation

Dean DJ, Walther S, Bernard JA, Mittal VA. Clinical Psychological Science 2018; 6(5): 721-734.

Affiliation

Institute for Innovations in Developmental Sciences, Evanston/Chicago, IL, USA.

Copyright

(Copyright © 2018, Association for Psychological Science, Publisher SAGE Publishing)

DOI

10.1177/2167702618773759

PMID

30319928

PMCID

PMC6178957

Abstract

Abnormal development of parallel cortical-striatal networks may contribute to abnormal motor, cognitive, and affective behavior prior to the onset of psychosis. Partitioning individuals at clinical high-risk (CHR) using motor behavior may provide a novel perspective on different etiological pathways or patient subtypes. A K-means cluster analysis was conducted in CHR (N=69; 42% female, mean age=18.67 years) young adults using theoretically distinct measures of motor behavior. The resulting subtypes were then compared on positive and negative symptoms at baseline, and 2-year risk of psychosis conversion. CHR participants were followed for 2 years to determine conversion to psychosis. CHR subtypes and healthy controls (N=61; 57% female, mean age=18.58 years) were compared on multiple cognitive domains and cortical-striatal connectivity.

RESULTS suggest 3 vulnerability subtypes of CHR individuals with different profiles of motor performance, symptoms, risk for conversion to psychosis, cognition, and thalamocortical connectivity. This approach may reflect a novel strategy for promoting tailored risk assessment as well as future research developing individualized medicine.

Language: en

Keywords

clinical high-risk; cluster; movement abnormalities; psychosis; vulnerability subtypes