@inproceedings{d6f63d7bda9e418cb9b72ab5e6cbf812,
title = "Music Therapy Improves Emotional Attention Control Abnormalities in Depression Patients: A Pilot Study",
abstract = "Music therapy has been shown to be effective in treating depression, as supported by numerous clinical studies and randomized controlled trials utilizing subjective reports and psychometric scales. However, a more efficient and objective approach is needed to complement these assessments and to investigate the neural effects of music therapy. This study designed a validity assessment framework based on the dot-probe paradigm, which uses participants' attentional biases toward emotional faces as an objective marker of music therapy effectiveness. To validate this framework, we collected 64 -channel electroencephalogram (EEG) signals from patients undergoing music therapy during a dot-probe task, and explored the dynamic cognitive processes in depressed patients before and after treatment using event-related potentials (ERPs). Our results indicate modulated attentional biases toward negative emotional faces in depressed patients following music therapy. Specifically, we observed shorter response times and higher ERP amplitudes for negative faces compared to positive faces before treatment. These abnormalities were ameliorated after treatment and showed significant correlations with pre- and post-treatment scale measurements. These findings lay a foundation for future artificial intelligence-based systems that could automate the assessment of music therapy effectiveness using neurophysiological markers, potentially enabling personalized treatment approaches and real-time therapeutic adjustments.",
keywords = "Music therapy, attentional bias, depression, dot-probe paradigm, electroencephalogram",
author = "Hua Jiang and Mingqi Zhao and Kun Qiao and Bingjie Chen and Fuze Tian and Qinglin Zhao and Bin Hu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025 ; Conference date: 15-12-2025 Through 18-12-2025",
year = "2025",
doi = "10.1109/BIBM66473.2025.11356761",
language = "English",
series = "Proceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7415--7422",
editor = "Juan Liu and Jingshan Huang and Xiaowo Wang and Fa Zhang and Xiufen Zou and Tian Tian and Xiaohua Hu and Bin Hu and Yi Xiong",
booktitle = "Proceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025",
address = "United States",
}