Fleischman Matthew J
Neurofeedback Advocacy Project, Eugene, OR, United States.
Front Hum Neurosci. 2022 May 26;16:921491. doi: 10.3389/fnhum.2022.921491. eCollection 2022.
There is a crisis in mental health. The demand for services is huge; the efficacy of current services is lacking, and the traditional path to developing effective treatments is not working. This paper describes an approach based on implementing infra low frequency (ILF) neurofeedback in agencies that work with the underserved and collecting data on client's concerns, behavior, quality of life and cognitive performance. We also track session-by-session changes in client concerns and their relation to ILF neurofeedback protocols. Results are reviewed for over 300 clients who have been seen in such agencies. Limitations and future directions are discussed for this model.
心理健康领域存在危机。服务需求巨大；当前服务缺乏成效，且开发有效治疗方法的传统途径行不通。本文描述了一种方法，即在为服务不足人群提供服务的机构中实施超低频（ILF）神经反馈，并收集有关客户担忧、行为、生活质量和认知表现的数据。我们还逐 session 跟踪客户担忧的变化及其与 ILF 神经反馈协议的关系。对在此类机构中接受治疗的 300 多名客户的结果进行了评估。讨论了该模型的局限性和未来方向。 （注：原文中“session-by-session”未准确对应的中文表述，暂保留英文）
