- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05447312
Adaptive Music Therapy for Psychosocial and Cognitive Functions of Older Adults (AMT)
The Effects of an Adaptive Music Program on Psychosocial and Cognitive Functions of Older Adults: a Pilot and Validation Study
The proposed study is a pilot study that aims to understand if the Pi Electronics adaptive music intervention (AM) is effective to promote positive psychosocial and cognitive outcomes, over and above a traditional music intervention (TM) among healthy older adults. This study will contribute to the ongoing literature on the benefits of music interventions and provide insight on how emerging technology can enhance the therapeutic effects of music 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 (TM), Pi Electronic's adaptive music program (AM), 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 TM and AM group will receive music between the pretest and posttest sessions, spanning for 4 weeks, with 4 music therapy sessions per week, and each session lasting 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.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Objectives:
- to further assess the benefits of traditional music interventions (TM) in older adults
- to assess the additional benefits of the Pi Electronics adaptive music intervention (AM) as compared to TM in older adults
- to assess the long-term durability over a 3-month period of the training benefits, if any
- to validate Pi's real-time EEG headset and corresponding speaker for future therapeutic use.
Sample: healthy older adults (65 years and older) will be recruited from the Ryerson Seniors Participants Pool (RSPP) and through community advertising. The target sample size will be 75 participants (N = 25 per group), evenly randomized into the three arms of intervention: TMT, AIT, and no-treatment waitlist control group (CG).
Overall Design and Procedure: informed consent will be collected. All groups will complete behavioural and neurophysiological outcome assessments at three time-points: pretest, posttest, and 3-month follow-up. EEG and mood validation will be conducted at pretest for the AIT group. During this procedure, participants will be exposed to default music database to induce the target mood while EEG is recorded and mood regulation is monitored (e.g., Sourina et al., 2012). Participants will be asked to self-rate their positive emotional valence (happy and calm) by completing the Positive and Negative Affect Schedule (Watson, et al., 1988). Participants in the intervention groups will be given instructions on their respective intervention program to ensure they are fully familiarized.
Intervention: the TM and AM groups will span for 4 weeks, requiring engagement in at least four 30-minute sessions of music listening per week, delivered on-line through cloud from the Pi Speakers. The AM and TM group will be exposed to individually selected music pieces based on the data collected at pretest. However, the AM group will be exposed to music that has been enhanced by frequencies that elicit positive mood in participants.
Data Analysis Plan: To understand the training benefits, a three group by two time (pretest versus posttest), mixed model analysis of variance (ANOVA) will be employed. This will be done to understand the differences in the psychosocial and cognitive outcome variables within and between subjects from before to after the music program training. To understand the maintenance effect, a three group by two time (posttest versus three-month follow-up) mixed model ANOVA will be employed. Again, this will be used to understand if there are significant differences in training benefit maintenance for the psychosocial and cognitive outcome variables, both between and within subjects in the TM, AM, and CG. The study will also validate the Pi Electronics EEG headset with the BioSemi, 64-channel EEG system by comparing the mean peak difference of average waveforms of event related potentials using t-tests.
Timeline:
1-year period starting in 2022, outlined below in months:
- 1st-2nd: Research Ethics Board Approval
- 2nd-3rd: Design and testing preparation
- 2nd-6th: Research Assistant training; participant recruitment
- 3rd-9th: Data collection and validation
- 8th-11th: Data analysis
- 10th-12th: Knowledge dissemination
- 12th: Mitacs final report and survey
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Ontario
-
Toronto, Ontario, Canada, M5B 2K3
- Ryerson University (renamed: Toronto Metropolitan University)
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- without previous mental health diagnosis;
- with access to a computer and internet;
- with largely normal or corrected to normal hearing;
- without dementia-related cognitive decline (score of 24 or higher on Mini-Mental State Exam)
Exclusion Criteria:
- with previous mental health diagnosis;
- without access to a computer and internet;
- without largely normal or corrected to normal hearing;
- with dementia-related cognitive decline (score of 23 or lower on Mini-Mental State Exam)
- if participant is an outlier on the cognitive tasks, scoring +/- 2.5 standard deviations on the computerized cognitive tasks.
- if half or more of the psychosocial questionnaires are incomplete.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Adaptive Music Intervention (AM)
The intervention will be an adaptive music program, in which participants will listen to music provided by the research team that has been enhanced with frequencies that elicit positive moods using the Pi Electronic Venus speaker for 30 minutes, at least 4 times in a week over 4 weeks.
|
Music that has been enhanced by frequencies that are associated with positive feelings as measured by EEG data.
Music will be delivered through the Pi Electronic Inc.'s Venus Speaker that aims to promote psychosocial and cognitive functioning over and above traditional music therapy.
Other Names:
|
|
Active Comparator: Traditional Music Intervention (TM)
The intervention will be traditional music therapy, in which participants will listen to music provided by the research team that has not been enhanced with frequencies using the Pi Electronic Venus speaker for 30 minutes, at least 4 times in a week over 4 weeks.
|
Music that has not been enhanced by frequencies.
Music is delivered through the Pi Electronic Inc.'s Venus Speaker that aims to promote psychosocial and cognitive functioning.
Other Names:
|
|
No Intervention: Control Group
The control intervention will be an audiobook provided by the research team that participants will listen to using the Pi Electronic Venus speaker for 30 minutes, at least 4 times in a week over 4 weeks.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Quality of life: Psychosocial functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on Qualtrics, no cut off scores. Psychosocial functioning will be assessed using the: -World Health Organization - 5. Higher scores indicate increased quality of life. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
|
Resiliency: Psychosocial functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on Qualtrics, no cut off scores. Psychosocial functioning will be assessed using the: -Brief Resilient Coping Scale. Higher scores indicates higher resiliency coping. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
|
Emotional Regulation: Psychosocial functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on Qualtrics, no cut off scores. Psychosocial functioning will be assessed using the: -Emotion Regulation Questionnaire. Higher scores indicate increased emotional regulation. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
|
Activities of Daily Living: Psychosocial functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on Qualtrics, no cut off scores. Psychosocial functioning will be assessed using the: -Lawton Instrumental Activities of Daily Living Scale. Higher scores indicate better everyday functioning. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
|
Loneliness: Psychosocial functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on Qualtrics, no cut off scores. Psychosocial functioning will be assessed using the: - 6-item de Jong Gierveld. Higher scores indicate increased loneliness. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
|
Emotional processing: Cognitive functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on PsychoPy. Cognitive performance will be measured using the: -Emotional Stroop Task. Increased reaction time to negative emotional words indicates decreased mood. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
|
Processing Speed: Cognitive functions of healthy older adults.
Time Frame: Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
All computerized on PsychoPy. Cognitive performance will be measured using the: -Digit Symbol Substitution Test. Increased accuracy indicates better processing speed efficiency. |
Baseline (pretest), 4 weeks (posttest), and 16 weeks (3-month follow-up),
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Kathryn Bolton, BA. hons, Toronto Metropolitan University
Publications and helpful links
General Publications
- Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988 Jun;54(6):1063-70. doi: 10.1037//0022-3514.54.6.1063.
- Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975 Nov;12(3):189-98. doi: 10.1016/0022-3956(75)90026-6. No abstract available.
- Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969 Autumn;9(3):179-86. No abstract available.
- Sarkamo T, Tervaniemi M, Laitinen S, Numminen A, Kurki M, Johnson JK, Rantanen P. Cognitive, emotional, and social benefits of regular musical activities in early dementia: randomized controlled study. Gerontologist. 2014 Aug;54(4):634-50. doi: 10.1093/geront/gnt100. Epub 2013 Sep 5.
- Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 2003 Aug;85(2):348-62. doi: 10.1037/0022-3514.85.2.348.
- Zhao K, Bai ZG, Bo A, Chi I. A systematic review and meta-analysis of music therapy for the older adults with depression. Int J Geriatr Psychiatry. 2016 Nov;31(11):1188-1198. doi: 10.1002/gps.4494. Epub 2016 Apr 19.
- Williams JM, Mathews A, MacLeod C. The emotional Stroop task and psychopathology. Psychol Bull. 1996 Jul;120(1):3-24. doi: 10.1037/0033-2909.120.1.3.
- Mallik A, Russo FA. The effects of music & auditory beat stimulation on anxiety: A randomized clinical trial. PLoS One. 2022 Mar 9;17(3):e0259312. doi: 10.1371/journal.pone.0259312. eCollection 2022.
- Cahn-Weiner DA, Malloy PF, Boyle PA, Marran M, Salloway S. Prediction of functional status from neuropsychological tests in community-dwelling elderly individuals. Clin Neuropsychol. 2000 May;14(2):187-95. doi: 10.1076/1385-4046(200005)14:2;1-Z;FT187.
- Ben-Haim MS, Williams P, Howard Z, Mama Y, Eidels A, Algom D. The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content. J Vis Exp. 2016 Jun 29;(112):53720. doi: 10.3791/53720.
- Creech, A., Hallam, S., McQueen, H., & Varvarigou, M. (2013). The power of music in the lives of older adults. Research Studies in Music Education, 35(1), 87-102. https://doi.org/10.1177/1321103X13478862
- Fang R, Ye S, Huangfu J, Calimag DP. Music therapy is a potential intervention for cognition of Alzheimer's Disease: a mini-review. Transl Neurodegener. 2017 Jan 25;6:2. doi: 10.1186/s40035-017-0073-9. eCollection 2017.
- Gierveld JDJ, Tilburg TV. A 6-Item Scale for Overall, Emotional, and Social Loneliness: Confirmatory Tests on Survey Data. Res Aging. 2006;28(5):582-598. doi:10.1177/0164027506289723
- Grenier AS, Lafontaine L, Sharp A. Use of Music Therapy as an Audiological Rehabilitation Tool in the Elderly Population: A Mini-Review. Front Neurosci. 2021 Sep 16;15:662087. doi: 10.3389/fnins.2021.662087. eCollection 2021.
- Laukka, P. (2006). Uses of music and psychological well-being among the elderly. Journal of Happiness Studies, 8(2), 215. https://doi.org/10.1007/s10902-006-9024-3
- Lovibond, S.H. & Lovibond, P.F. (1995). Manual for the Depression Anxiety Stress Scales. (2nd. Ed.) Sydney: Psychology Foundation
- Phneah SW, Nisar H. EEG-based alpha neurofeedback training for mood enhancement. Australas Phys Eng Sci Med. 2017 Jun;40(2):325-336. doi: 10.1007/s13246-017-0538-2. Epub 2017 Mar 13.
- Salthouse, T. A. (1994). The Nature of the Influence Of Speed on Adult AgeDifferencesin Cognition. Developmental Psychology, 30(2), 20.
- Schmitter-Edgecombe M, Parsey CM. Assessment of functional change and cognitive correlates in the progression from healthy cognitive aging to dementia. Neuropsychology. 2014 Nov;28(6):881-93. doi: 10.1037/neu0000109. Epub 2014 Jun 16.
- Shankar A, Hamer M, McMunn A, Steptoe A. Social isolation and loneliness: relationships with cognitive function during 4 years of follow-up in the English Longitudinal Study of Ageing. Psychosom Med. 2013 Feb;75(2):161-70. doi: 10.1097/PSY.0b013e31827f09cd. Epub 2013 Jan 29.
- Sinclair VG, Wallston KA. The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment. 2004 Mar;11(1):94-101. doi: 10.1177/1073191103258144.
- Sourina, O., Liu, Y., & Nguyen, M. K. (2012). Real-time EEG-based emotion recognition for music therapy. Journal on Multimodal User Interfaces, 5(1-2), 27-35. https://doi.org/10.1007/s12193-011-0080-6
- Thompson RG, Moulin CJ, Hayre S, Jones RW. Music enhances category fluency in healthy older adults and Alzheimer's disease patients. Exp Aging Res. 2005 Jan-Mar;31(1):91-9. doi: 10.1080/03610730590882819.
- World Health Organization. (1998). Wellbeing Measures in Primary Healthcare: The Depcare Project. https://www.euro.who.int/__data/assets/pdf_file/0016/130750/E60246.pdf
- Benedict, R. H. B., Schretlen, D., Groninger, L., & Brandt, J. (1998). Hopkins verbal learning test - Revised: Normative data and analysis of inter-form and test-retest reliability. Clinical Neuropsychologist, 12(1), 43-55. https://doi.org/10.1076/clin.12.1.43.1726
- Chaieb L, Wilpert EC, Reber TP, Fell J. Auditory beat stimulation and its effects on cognition and mood States. Front Psychiatry. 2015 May 12;6:70. doi: 10.3389/fpsyt.2015.00070. eCollection 2015.
- Gonzalez-Ojea MJ, Dominguez-Lloria S, Pino-Juste M. Can Music Therapy Improve the Quality of Life of Institutionalized Elderly People? Healthcare (Basel). 2022 Feb 6;10(2):310. doi: 10.3390/healthcare10020310.
- Jaeger J. Digit Symbol Substitution Test: The Case for Sensitivity Over Specificity in Neuropsychological Testing. J Clin Psychopharmacol. 2018 Oct;38(5):513-519. doi: 10.1097/JCP.0000000000000941.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- TMU2022-CAL-Pi-AMT
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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