Music therapy has emerged recently as a successful intervention that improves
patient's outcome in a large range of neurological and mood disorders without
adverse effects. Brain networks are entrained to music in ways that can be
explained both via top-down and bottom-up processes. In particular, the direct
interaction of auditory with the motor and the reward system via a predictive
framework explains the efficacy of music-based interventions in motor
rehabilitation. In this manuscript, we provide a brief overview of current
theories of music perception and processing. Subsequently, we summarise
evidence of music-based interventions primarily in motor, emotional and
cardiovascular regulation. We highlight opportunities to improve quality of
life and reduce stress beyond the clinic environment and in healthy
individuals. This relatively unexplored area requires an understanding of how
we can personalise and automate music selection processes to fit individuals
needs and tasks via feedback loops mediated by measurements of
neuro-physiological responses.

本文探讨了音乐疗法在神经学和情绪障碍治疗中的应用，并总结了音乐在康复、情感调节和心血管调节中的作用。此外，本文突出了音乐选择个性化和自动化的机会以适应个体需求和任务，从而改善生活质量和减轻压力。

个性化音乐治疗：神经计算建模视角

Towards personalised music-therapy; a neurocomputational modelling  perspective

Emotions are an integral part of human cognition and they guide not only our
understanding of the world but also our actions within it. As such, whether we
soothe or flame an emotion is not inconsequential. Recent work in
conversational AI has focused on responding empathetically to users, validating
and soothing their emotions without a real basis. This AI-aided emotional
regulation can have negative consequences for users and society, tending
towards a one-noted happiness defined as only the absence of "negative"
emotions. We argue that we must carefully consider whether and how to respond
to users' emotions.

本篇论文讨论了采用 AI 帮助情绪调节，在回应用户的情绪时，应当谨慎并考虑如何应对用户的情绪，以避免其对用户和社会产生负面影响，而不仅仅关注负面情绪的缓解。