Department of Electronics and Communication, Visvesvaraya National Institute of Technology, Nagpur, India.
Department of Computer Science and Engineering, Indian Institute of Information Technology, Vadodara, India.
Appl Psychophysiol Biofeedback. 2024 Sep;49(3):347-363. doi: 10.1007/s10484-024-09647-0. Epub 2024 Jun 5.
The field of EEG-Neurofeedback (EEG-NF) training has showcased significant promise in treating various mental disorders, while also emerging as a cognitive enhancer across diverse applications. The core principle of EEG-NF involves consciously guiding the brain in desired directions, necessitating active engagement in neurofeedback (NF) tasks over an extended period. Music listening tasks have proven to be effective stimuli for such training, influencing emotions, mood, and brainwave patterns. This has spurred the development of musical NF systems and training protocols. Despite these advancements, there exists a gap in systematic literature that comprehensively explores and discusses the various modalities of feedback mechanisms, its benefits, and the emerging applications. Addressing this gap, our review article presents a thorough literature survey encompassing studies on musical NF conducted over the past decade. This review highlights the several benefits and applications ranging from neurorehabilitation to therapeutic interventions, stress management, diagnostics of neurological disorders, and sports performance enhancement. While acknowledged for advantages and popularity of musical NF, there is an opportunity for growth in the literature in terms of the need for systematic randomized controlled trials to compare its effectiveness with other modalities across different tasks. Addressing this gap will involve developing standardized methodologies for studying protocols and optimizing parameters, presenting an exciting prospect for advancing the field.
脑电图神经反馈（EEG-NF）训练领域在治疗各种精神障碍方面显示出了巨大的潜力，同时也在各种应用中作为认知增强剂出现。EEG-NF 的核心原则涉及有意识地引导大脑朝着期望的方向发展，这需要在较长时间内积极参与神经反馈（NF）任务。研究表明，音乐聆听任务是此类训练的有效刺激因素，能够影响情绪、心境和脑电波模式。这促使了音乐 NF 系统和训练方案的发展。尽管取得了这些进展，但系统文献中仍然存在一个空白，即全面探索和讨论各种反馈机制的模式、其益处以及新兴的应用。为了填补这一空白，我们的综述文章对过去十年中关于音乐 NF 的研究进行了全面的文献调查。该综述强调了音乐 NF 的多种益处和应用，从神经康复到治疗干预、压力管理、神经疾病诊断到运动表现增强。虽然音乐 NF 具有优势和普及性，但在文献中仍有机会在需要进行系统的随机对照试验方面取得进展，以比较其在不同任务中的有效性与其他模式。解决这一差距需要制定用于研究协议和优化参数的标准化方法，为推进该领域提供了令人兴奋的前景。
