Poster No:
1200
Submission Type:
Abstract Submission
Authors:
Sarah Faber1, Alexander Belden2, Psyche Loui2, Randy McIntosh3
Institutions:
1Simon Fraser University, Burnaby, BC, 2Northeastern University, Boston, MA, 3Simon Fraser University, Vancouver, BC
First Author:
Co-Author(s):
Introduction:
Music is an enjoyable stimulus that has been used therapeutically in a variety of health care settings. Despite many promising clinical reports, how music is able to effect change, and how it remains accessible to individuals with neurodegeneration remains unknown. In the present study, older adults listened to a selection of music excerpts both familiar and novel while fMRI was recorded before and after an eight week music listening intervention. We used hidden markov modelling (HMM, Vidaurre et al., 2016) and partial least squares (PLS; McIntosh et al., 1996) to identify patterns of network engagement and transition during music listening and how these patterns differed before and after the intervention.
Methods:
We collected fMRI data from 15 cognitively healthy older adults (M = 62.67, SD = 15.35) during a music listening task. Excerpts were 20 seconds long and included self-selected familiar, well-liked songs; and excerpts selected by experimenters (popular and novel excerpts). Participants provided liking and familiarity ratings on a 4-point Likert scale following each excerpt. This protocol was completed twice: once before the intervention, and once following the intervention. We processed the fMRI data using the TVB-UKBB pipeline (Frazier-Logue et al., 2022) and completed all analyses in MatLab (Mathworks, 2019).
Results:
We identified 4 brain states or functional networks. We calculated the fractional occupancy (time spent in each network) and transitional probability (the weighted, directed pairwise likelihood of transitioning between networks) for each excerpt, pre- and post-intervention. We averaged these values by stimulus category and modelled intervention effects using PLS.
PLS results showed higher fractional occupancy in a bilateral temporal network pre-intervention, and higher fractional occupancy in a bilateral temporal mesolimbic network post-intervention. These networks are functionally analogous to the auditory network and auditory-reward network respectively. Transitional probability was higher for the temporal network pre-intervention, and higher for the temporal mesolimbic network post-intervention. Liking and familiarity ratings did not differ significantly between pre- and post-intervention scans.
Conclusions:
Activity in a network containing regions related to auditory and reward processing was increased in a population of older adults following 8 weeks of music-based intervention. These findings indicate that music listening may be able to change dynamic network activity patterns in favour of musical reward. Increased reward stemming from increased music listening is one way music may be an effective therapeutic tool, and these findings raise many fascinating questions for future work with clinical populations.
Lifespan Development:
Aging 1
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling 2
Keywords:
Aging
Computational Neuroscience
FUNCTIONAL MRI
Multivariate
Therapy
Other - Music
1|2Indicates the priority used for review
Provide references using author date format
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