ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)2025
Automated movement analysis predicts transition to non-psychotic disorders in individuals at ultra-high risk for psychosis.
Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
objectiveUltra-high risk criteria were developed to identify prodromal symptoms of psychosis, although the transition does not occur in most individuals. This highlights the need to identify transition markers, such as movement analysis. In the first stage of our study, movement analysis was used to differentiate controls from ultra-high risk patients, who had reduced movement and increased erraticism. We aimed to determine whether these variables can predict ultra-high risk outcomes after follow-up.
methodsUltra-high risk individuals were recorded while performing two speech tasks at baseline. The videos were analyzed using motion energy analysis for head and torso movements (mean amplitude, frequency, and variability) and were manually coded for gesticulation. During follow-up, seven participants transitioned to psychosis, 21 to other DSM-5 disorders (called the general disorder group), and 18 did not transition to psychosis.
resultsThe general disorders group showed lower torso frequency and higher variability in both regions than the psychosis group, as well as greater torso variability than the non-transition group. No differences were found between the psychosis and non-transition groups. Gesticulation did not significantly differ between groups.
conclusionsBaseline movement variability distinguishes ultra-high risk transition outcomes, with higher variability in those who transitioned to non-psychotic disorders. This demonstrates the importance of movement analysis as a potential transition marker and suggests that treating ultra-high risk individuals as a single group may overlook important information.
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.