Automatic quantification of hand gestures in current and remitted Major Depressive Disorder during oral expression
- PMID: 40513704
- PMCID: PMC12291071
- DOI: 10.1016/j.jad.2025.119684
Automatic quantification of hand gestures in current and remitted Major Depressive Disorder during oral expression
Abstract
Nonverbal behavior plays a crucial role in social interactions and may provide insights into Major Depressive Disorder (MDD). While previous research suggests that hand gesture deficits are linked to depression, it remains unclear whether these deficits are state-dependent or persist beyond active illness. This study utilized an automated, video-based tool to quantify spontaneous hand gestures in individuals with current (cMDD) and remitted (rMDD) MDD during oral expression. A total of 145 participants (97 rMDD and 49 cMDD) completed a recorded gesture-elicitation task, and hand movement trajectories were extracted using video-based body tracking. Results revealed that individuals with current MDD exhibited significantly fewer gestures per minute compared to remitted individuals (p = .016, d = 0.38). Furthermore, gesture frequency negatively correlated with depressive symptom severity (r = -0.17, p = .046) and observational measures of psychomotor retardation (r = -0.23, p = .012). These findings suggest that gesture deficits are more strongly tied to the active state of depression rather than serving as a marker of vulnerability or a scar from previous depressive episodes. Automated gesture analysis provides an objective and scalable method for assessing nonverbal behavior in MDD. Future research should explore its clinical utility as a biomarker for symptom severity and treatment response.
Keywords: Automatic detection; Hand gesture; MDD; Nonverbal behavior; Psychomotor retardation.
Copyright © 2025 Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare no competing interests.
Similar articles
-
Prescription of Controlled Substances: Benefits and Risks.2025 Jul 6. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2025 Jul 6. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 30726003 Free Books & Documents.
-
Sexual Harassment and Prevention Training.2024 Mar 29. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2024 Mar 29. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 36508513 Free Books & Documents.
-
The Black Book of Psychotropic Dosing and Monitoring.Psychopharmacol Bull. 2024 Jul 8;54(3):8-59. Psychopharmacol Bull. 2024. PMID: 38993656 Free PMC article. Review.
-
Pain Assessment.2025 Jun 22. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2025 Jun 22. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 32310558 Free Books & Documents.
-
New generation antidepressants for depression in children and adolescents: a network meta-analysis.Cochrane Database Syst Rev. 2021 May 24;5(5):CD013674. doi: 10.1002/14651858.CD013674.pub2. Cochrane Database Syst Rev. 2021. PMID: 34029378 Free PMC article.
References
-
- Alghowinem S, Goecke R, Wagner M, Parkerx G, & Breakspear M (2013). Head Pose and Movement Analysis as an Indicator of Depression. 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 283–288. 10.1109/ACII.2013.53 - DOI
-
- Bazarevsky V, Grishchenko I, Raveendran K, Zhu T, Zhang F, & Grundmann M (2020). BlazePose: On-device Real-time Body Pose tracking (No. arXiv:2006.10204). arXiv. 10.48550/arXiv.2006.10204 - DOI
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources