Artificial Intelligence Empathic Music Therapy (AIT) for Memory

Phase-Based Progress Estimates
1
Effectiveness
1
Safety
Ryerson University (renamed: Toronto Metropolitan University), Toronto, Canada
Memory+10 More
Artificial Intelligence Empathic Music Therapy - Behavioral
Eligibility
65+
All Sexes
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Study Summary

The proposed study is a pilot study that aims to understand if the Pi Speaker dynamic artificial intelligence (AI) empathic music therapy (AIT) is effective to promote positive psychosocial and cognitive outcomes, over and above traditional music therapy (TMT), among healthy older adults. This study will contribute to the ongoing literature on the benefits of music therapy and provide insight on how AI technology can enhance the therapeutic effects of music therapy as a viable intervention for older adults. The study will adopt a three-arm randomized controlled trial (RCT). Eligible participants will be randomized into one of three groups: traditional music therapy group (TMT), Pi Speaker's dynamic AI empathic music therapy group (AIT), and a waitlist control group (CG). Informed consent will be collected from all participants. All three groups will complete outcome measures at three sessions: pretest, posttest, and at a three-month follow-up, but only the TMT and AIT group will receive music therapy between the pretest and posttest sessions, spanning for 4 weeks, with 4 music therapy sessions per week, and each session lasting about 30 minutes. Data will be analyzed for each outcome variables to understand the group differences in the performance on the psychosocial and cognitive outcome measures. The study will also validate the Pi Electronics EEG headset with the BioSemi, 64-channel EEG system.

Eligible Conditions

  • Memory
  • Functional Abilities
  • Anxiety
  • Wellbeing
  • Loneliness
  • Depression
  • Executive Function (Cognition)
  • Low Mood
  • Stress, Psychological
  • Emotion Regulation
  • Skills, Coping

Treatment Effectiveness

Study Objectives

9 Primary · 0 Secondary · Reporting Duration: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),

Week 16
Activities of Daily Living: Psychosocial functions of healthy older adults.
Depression, anxiety, stress: Psychosocial functions of healthy older adults.
Emotional Regulation: Psychosocial functions of healthy older adults.
Emotional processing: Cognitive functions of healthy older adults.
Loneliness: Psychosocial functions of healthy older adults.
Memory: Cognitive functions of healthy older adults.
Processing speed: Cognitive functions of healthy older adults.
Quality of life: Psychosocial functions of healthy older adults.
Resiliency: Psychosocial functions of healthy older adults.

Trial Safety

Trial Design

3 Treatment Groups

Traditional Music Therapy (TMT)
1 of 3
Waitlist (no-contact) Control
1 of 3
Artificial Intelligence Empathic Music Therapy (AIT)
1 of 3
Active Control
Experimental Treatment

45 Total Participants · 3 Treatment Groups

Primary Treatment: Artificial Intelligence Empathic Music Therapy (AIT) · No Placebo Group · N/A

Artificial Intelligence Empathic Music Therapy (AIT)
Behavioral
Experimental Group · 1 Intervention: Artificial Intelligence Empathic Music Therapy · Intervention Types: Behavioral
Traditional Music Therapy (TMT)
Behavioral
ActiveComparator Group · 1 Intervention: Traditional Music Therapy · Intervention Types: Behavioral
Waitlist (no-contact) ControlNoIntervention Group · 1 Intervention: Waitlist (no-contact) Control · Intervention Types:

Trial Logistics

Trial Timeline

Approximate Timeline
Screening: ~3 weeks
Treatment: Varies
Reporting: baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),

Trial Background

Kathryn Bolton, Graduate Student
Principal Investigator
Ryerson University
Closest Location: Ryerson University (renamed: Toronto Metropolitan University) · Toronto, Canada
Photo of Toronto  1Photo of Toronto  2Photo of Toronto  3
N/AFirst Recorded Clinical Trial
1 TrialsResearching Memory
0 CompletedClinical Trials

Eligibility Criteria

Age 65+ · All Participants · 4 Total Inclusion Criteria

Mark “yes” if the following statements are true for you:
You have no dementia-related cognitive decline.
You have no previous mental health diagnosis.

About The Reviewer

Michael Gill preview

Michael Gill - B. Sc.

First Published: October 9th, 2021

Last Reviewed: August 12th, 2022

Michael Gill holds a Bachelors of Science in Integrated Science and Mathematics from McMaster University. During his degree he devoted considerable time modeling the pharmacodynamics of promising drug candidates. Since then, he has leveraged this knowledge of the investigational new drug ecosystem to help his father navigate clinical trials for multiple myeloma, an experience which prompted him to co-found Power Life Sciences: a company that helps patients access randomized controlled trials.

References