ArticleSchizophrenia research2018
Motion energy analysis reveals altered body movement in youth at risk for psychosis.
Article in Schizophrenia research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 28 citations in OpenAlex.
- Spontaneous head movements during virtual clinical interviews help predict 12-months clinical outcomes in youth at clinical high risk for psychosis.Schizophrenia (Heidelberg, Germany) · 2025Article
- Automated analysis of clinical interviews indicates altered head movements during social interactions in youth at clinical high-risk for psychosis.Schizophrenia (Heidelberg, Germany) · 2025Article
- Automated movement analysis predicts transition to non-psychotic disorders in individuals at ultra-high risk for psychosis.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
- Speech characteristics yield important clues about motor function: Speech variability in individuals at clinical high-risk for psychosis.Schizophrenia (Heidelberg, Germany) · 2023Article
- Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features.Schizophrenia research · 2023Article
- Gesticulation in individuals with at risk mental states for psychosis.Schizophrenia (Heidelberg, Germany) · 2023Article
- Motion energy analysis during speech tasks in medication-naïve individuals with at-risk mental states for psychosis.Schizophrenia (Heidelberg, Germany) · 2022Article
- Alterations in facial expressions of emotion: Determining the promise of ultrathin slicing approaches and comparing human and automated coding methods in psychosis risk.Emotion (Washington, D.C.) · 2022Article
- Change Process in Coaching: Interplay of Nonverbal Synchrony, Working Alliance, Self-Regulation, and Goal Attainment.Frontiers in psychology · 2021Article
- Prediction, Psychosis, and the Cerebellum.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2019Review
- Motor Dysfunction as a Risk Factor for Conversion to Psychosis Independent of Medication Use in a Psychosis-Risk Cohort.The Journal of nervous and mental disease · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundGrowing evidence suggests that movement abnormalities occur prior to the onset of psychosis. Innovations in technology and software provide the opportunity for a fine-tuned and sensitive measurement of observable behavior that may be particularly useful to detecting the subtle movement aberrations present during the prodromal period.
methodsIn the present study, 54 youth at ultrahigh risk (UHR) for psychosis and 62 healthy controls participated in structured clinical interviews to assess for an UHR syndrome. The initial 15min of the baseline clinical interview was assessed using Motion Energy Analysis (MEA) providing frame-by-frame measures of total movement, amplitude, speed, and variability of both head and body movement separately.
resultsResult showed region-specific group differences such that there were no differences in head movement but significant differences in body movement. Specifically, the UHR group showed greater total body movement and speed of body movements, and lower variation in body movement compared to healthy controls. However, there were no significant associations with positive, negative or disorganized symptom domains.
conclusionThis study represents an innovative perspective on gross motor function in the UHR group. Importantly, the automated approach used in this study provides a sensitive and objective measure of body movement abnormalities, potentially guiding novel assessment and prevention of symptom development in those at risk for psychosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.