Group Music Therapy Pilot, Emotional Health, Long-Term Care
Summary
This is a ClinicalTrials.gov registration for a pilot study (NCT07536360) evaluating group music therapy's effects on emotional health among long-term care residents. The study will also assess the feasibility of using AI-based facial emotion recognition technology (PaLI Gemma 2 multimodal model) alongside traditional self-reported emotional health questionnaires. Participants will attend six 60-minute weekly sessions with pre/post assessments.
What changed
This document registers a new pilot study on ClinicalTrials.gov. The study will use a one-group pretest-posttest quasi-experimental design to evaluate a 6-week group music therapy program for long-term care residents. Researchers will compare traditional emotional health questionnaires with AI-generated facial emotion recognition outputs from the PaLI Gemma 2 multimodal model.
Long-term care facilities and clinical researchers conducting psychosocial interventions should be aware of this study's approach, which represents an emerging trend toward integrating AI-supported assessment tools in geriatric mental health research. The study's use of non-invasive camera recording for emotion analysis may have implications for future research protocols involving AI in healthcare settings.
Archived snapshot
Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
The Effects of Group Music Therapy on the Emotional Health of Residents in Long-Term Care Facilities: A Pilot Study
N/A NCT07536360 Kind: NA Apr 17, 2026
Abstract
The goal of this pilot study is to learn whether group music therapy improves the emotional health of residents living in long-term care facilities. It will also examine the feasibility of integrating an artificial intelligence (AI)-based emotion recognition model into routine psychosocial interventions.
The main questions it aims to answer are:
Does group music therapy improve positive affect and reduce negative affect, depression, and loneliness among long-term care residents? Are AI-based facial emotion recognition results consistent with residents' self-reported emotional assessments?
Researchers will use a one-group pretest-posttest quasi-experimental design to evaluate changes before and after a 6-week group music therapy program. The study will also compare subjective questionnaire results with objective facial emotion recognition outputs generated by the PaLI Gemma 2 multimodal model.
Participants will:
Attend one 60-minute group music therapy session per week for 6 weeks Complete emotional health questionnaires before the first session and after the sixth session Be recorded during sessions using a non-invasive camera system for facial emotion analysis Have their questionnaire results compared with AI-based emotion recognition outputs to evaluate consistency and feasibility
This pilot study will provide preliminary evidence regarding both the psychological benefits of group music therapy and the feasibility of applying AI-supported multimodal emotion assessm...
Conditions: Loneliness, Negative Affect, Music Therapy, Long-term Care Facility, Emotion Recognition
Interventions: Group Music Therapy
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