ArticleProceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference)2018
Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study.
Article in Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- A multimodal spatiotemporal convolutional network with attention mechanism for athlete anxiety behavior recognition.Scientific reports · 2026Article
- Closed-loop neurostimulation for the treatment of psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- New and emerging approaches to treat psychiatric disorders.Nature medicine · 2023Review
- Resting-state EEG-based convolutional neural network for the diagnosis of depression and its severity.Frontiers in physiology · 2022Article
- Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder.Nature medicine · 2021Article
- Crossing Domains for AU Coding: Perspectives, Approaches, and Measures.IEEE transactions on biometrics, behavior, and identity science · 2020Article
- Deep Brain Stimulation for Intractable Obsessive-Compulsive Disorder: Progress and Opportunities.The American journal of psychiatry · 2020Article
- D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection.Frontiers in computer science · 2019Article
- AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition.Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition · 2019Article
- Cross-domain AU Detection: Domains, Learning Approaches, and Measures.Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition · 2019Article
- Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Automated measurement of affective behavior in psychopathology has been limited primarily to screening and diagnosis. While useful, clinicians more often are concerned with whether patients are improving in response to treatment. Are symptoms abating, is affect becoming more positive, are unanticipated side effects emerging? When treatment includes neural implants, need for objective, repeatable biometrics tied to neurophysiology becomes especially pressing. We used automated face analysis to assess treatment response to deep brain stimulation (DBS) in two patients with intractable obsessive-compulsive disorder (OCD). One was assessed intraoperatively following implantation and activation of the DBS device. The other was assessed three months post-implantation. Both were assessed during DBS on and o conditions. Positive and negative valence were quantified using a CNN trained on normative data of 160 non-OCD participants. Thus, a secondary goal was domain transfer of the classifiers. In both contexts, DBS-on resulted in marked positive affect. In response to DBS-off, affect flattened in both contexts and alternated with increased negative affect in the outpatient setting. Mean AUC for domain transfer was 0.87. These findings suggest that parametric variation of DBS is strongly related to affective behavior and may introduce vulnerability for negative affect in the event that DBS is discontinued.
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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.