⌘+K

Pulse Explore Clubs Researchers Journals

Home Clubs Explore

April 9, 2024Neurology

Neuromodulation with AI-Driven, Personalized Music-based Intervention to Reduce Anticipatory Anxiety Prior to Physician Examination: A Pilot Study (P8-9.005)

Yasmine Van Wilt Robert J. Kaner Fernando J. Martínez Elizabeth Peters Matthew C. Loftspring Brian Wallace

View Full Paper

Ask AI

Bookmark

Share

Abstract

Our objective was to test the hypothesis that AI-driven, Personalized Music-Based Intervention (PMBI) is efficacious in reducing anticipatory anxiety. Affective disorders, including anxiety, are more prevalent in neurodegenerative disorders including Alzheimer Disease.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Wilt et al. (2024) studied this question.

synapsesocial.com/papers/68e6fdadb6db643587677d76 https://doi.org/10.1212/wnl.0000000000208330

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Effects of an algorithmically enhanced personalized music-based intervention in patients with dementiaRandomized Controlled Trial · 2026
2AI-driven music intervention based on five-tone theory for anxiety: a preliminary pre-post feasibility studyother · 2025 · 5 citations
3AI-Assisted Classical Piano Intervention for Enhancing Resilience, Mindfulness, and Emotional Processing in Young Adults With Mild-to-Moderate Anxiety or DepressionRCT · 2026
4MusicAlzheimer: AI-Powered, Culturally Tailored Digital Music Therapy Prototype for Alzheimer Disease CareOriginal Research · 2026
5Brain‐Wave Music: A Personalized Approach to Improving Anxiety Resistance2025