Capturing Motor Signs in Psychosis: How the New Technologies Can Improve Assessment and Treatment?

Motor signs are critical features of psychosis that remain underutilized in clinical practice. These signs, including social motor behaviors, mechanistically relevant motor signs, and other motor abnormalities, have demonstrated potential as biomarkers for early detection and intervention. However,...

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Published in:Schizophrenia Bulletin Vol. 51; no. 4; pp. 845 - 852
Main Authors: Lozano-Goupil, Juliette, Mittal, Vijay A
Format: tables/charts Journal Article
Published: Oxford University Press / USA Jul2025
Online Access:View this record in EBSCOhost
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      pub: Oxford University Press / USA
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        atl: Capturing Motor Signs in Psychosis: How the New Technologies Can Improve Assessment and Treatment?
      aug:
        au:
          Lozano-Goupil, Juliette
          Mittal, Vijay A
        affil: Department of Psychology, Northwestern University, Evanston, IL 60208, United States
      sug:
        subj:
          Psychotic Disorders Diagnosis
          Biological Markers
          Motor Skills
          Social Behavior
          Technology, Medical
          Psychotic Disorders Therapy
          Patient Assessment
          Early Diagnosis
      ab: Motor signs are critical features of psychosis that remain underutilized in clinical practice. These signs, including social motor behaviors, mechanistically relevant motor signs, and other motor abnormalities, have demonstrated potential as biomarkers for early detection and intervention. However, their application in clinical settings remains limited due to challenges such as cost, accessibility, and integration into clinical workflows. Recent advancements in related research fields, such as Human Movement Sciences and Affective Computing , offer promising solutions, enabling scalable and precise measurement of patients motor signs. In this editorial, we explore the spectrum of motor signs and highlight the evolving role of motor assessments in psychosis research. By examining traditional assessment methods alongside alternative and innovative tools, we underscore the potential of leveraging technology and methodology to bridge the gap between research and clinical application, ultimately advancing personalized care and improving outcomes.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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