Journal of Rehabilitation Neurosciences
Online ISSN : 2434-2637
Print ISSN : 2434-2629
Tutorial Note
A priori prediction of therapist-client compatibility for better therapy outcomes: A possible procedure using resting-state functional magnetic resonance imaging data and a machine learning algorithm
KAJIMURA Shogo ITO Ayahito
著者情報
ジャーナル オープンアクセス

2023 年 23 巻 1 号 論文ID: 231701

詳細
抄録
The relationship quality between therapists and clients is crucial for obtaining a good outcome from long-term therapeutic relationships such as counseling and physical/occupational therapy. Although findings on the relationship between the compatibility of therapists and clients and their self-reported psychological characteristics/behaviors have been accumulated, it has been suggested that the compatibility of interpersonal relationships cannot be predicted by psychological constructs. Recently, using resting-state functional magnetic resonance imaging (fMRI) data and a newly developed similarity index, we overcame the limitations of self-report psychological constructs and succeeded in predicting the compatibility of interpersonal relationships a priori. We propose a procedure to predict therapist-client compatibility for better therapeutic outcomes. We hope that this tutorial note will promote the development of a prediction system and help make it more practical in the near future.
著者関連情報

This article is licensed under a Creative Commons [Attribution 4.0 International] license.
https://creativecommons.org/licenses/by/4.0/
前の記事
feedback
Top