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Diary Analysis of an RCT: Natural Language Analyses of Gamma-Music-Based Intervention.
Benjamin M Kubit1, Corinna Parrish1, Ziyan Zhao1
1Northeastern University, Boston, Massachusetts, United States.
Music and Medicine
|April 28, 2025
Summary
This study explored a music-based intervention with gamma-band light entrainment for Alzheimer's Disease (AD). While feasible, podcast listeners in a control group wrote more, highlighting diary study insights for AD research.
Area of Science:
- Neuroscience
- Gerontology
- Cognitive Science
Background:
- Alzheimer's Disease (AD) research suggests gamma-band (40 Hz) light entrainment may reduce pathology and improve cognition.
- Investigating novel, non-pharmacological interventions for AD is crucial.
Purpose of the Study:
- To assess the feasibility of a music-based intervention combined with gamma-band light entrainment.
- To compare qualitative data from music-listening and podcast-listening interventions using Natural Language Processing (NLP).
Main Methods:
- Participants engaged in either music with gamma-band light or podcast with delta-band light interventions.
- Qualitative data from participant diaries and researcher notes were analyzed using NLP (word count, sentiment analysis).
Main Results:
- Both music and podcast interventions were completed successfully by participants.
- Participants in the podcast intervention group recorded more words in their logbooks compared to the music group.
Conclusions:
- Diary studies provide valuable naturalistic data for assessing intervention feasibility and participant engagement.
- This research supports the exploration of music and light-based interventions for Alzheimer's Disease.
