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Gait examination in catatonia using 3D optical markerless motion tracking.
Dilsa Cemre Akkoc Altinok1, Sebastian Volkmer2, Kristin Ohl3
1Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; German Centre for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Mannheim, Germany.
Schizophrenia Research
|May 28, 2025
Summary
Three-dimensional markerless motion capture (MoCap) effectively quantifies gait in catatonia, revealing altered temporal and spatial dynamics. This technology offers new insights into sensori-psychomotor abnormalities in catatonia patients.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Psychiatry
Background:
- Three-dimensional (3D) markerless motion capture (MoCap) systems are advancing objective assessment of psychomotor abnormalities in mental disorders.
- Gait analysis in catatonia using 3D-MoCap technology remains unexplored.
Purpose of the Study:
- To investigate the utility of 3D markerless MoCap for gait analysis in catatonia.
- To identify gait alterations associated with catatonia.
Main Methods:
- 23 catatonia patients and 53 controls were assessed using ICD-11 criteria.
- Gait was analyzed using a 3D markerless MoCap system.
- Catatonia severity was measured with NCRS and BFCRS scales; gait and neurological signs were assessed with SRRS, UPDRS, and NSS scales.
Main Results:
- Principal component analysis identified four gait components, with PC1 (temporal features) significantly reduced in the catatonia group.
- PC1 alterations were not significantly associated with catatonia severity.
- Significant differences in SRRS and UPDRS scores were observed between catatonia and non-catatonia groups.
Conclusions:
- 3D markerless MoCap effectively quantifies gait in catatonia, demonstrating altered temporal and spatial dynamics.
- This technology provides a novel method for assessing gait abnormalities in catatonia.
- Future research should focus on longitudinal studies of treatment effects and potential gait biomarkers.
