神经反射
获得性脑损伤
严厉
康复
背景(考古学)
认知
心理学
神经心理学
系统回顾
认知康复治疗
心理干预
临床心理学
医学
梅德林
物理医学与康复
精神科
神经科学
古生物学
法学
脑电图
生物
数学
政治学
几何学
作者
Jordan I. Ali,Jeremy Viczko,Colette M. Smart
出处
期刊:Journal of The International Neuropsychological Society
[Cambridge University Press]
日期:2020-01-01
卷期号:26 (1): 31-46
被引量:17
标识
DOI:10.1017/s1355617719001061
摘要
Abstract Objectives: Interest in neurofeedback therapies (NFTs) has grown exponentially in recent years, encouraged both by escalating public interest and the financial support of health care funding agencies. Given NFTs’ growing prevalence and anecdotally reported success in treating common effects of acquired brain injury (ABI), a systematic review of the efficacy of NFTs for the rehabilitation of ABI-related cognitive impairment is warranted. Methods: Eligible studies included adult samples (18+ years) with ABI, the use of neurofeedback technology for therapeutic purposes (as opposed to assessment), the inclusion of a meaningful control group/condition, and clear cognitive–neuropsychological outcomes. Initial automated search identified n = 86 candidate articles, however, only n = 4 studies met the stated eligibility criteria. Results: Results were inconsistent across studies and cognitive domains. Methodological and theoretical limitations precluded robust and coherent conclusions with respect to the cognitive rehabilitative properties of NFTs. We take the results of these systematic analyses as a reflection of the state of the literature at this time. These results offer a constructive platform to further discuss a number of methodological, theoretical, and ethical considerations relating to current and future NFT–ABI research and clinical intervention. Conclusions: Given the limited quantity and quality of the available research, there appears to be insufficient evidence to comment on the efficacy of NFTs within an ABI rehabilitation context at this time. It is imperative that future work increase the level of theoretical and methodological rigour if meaningful advancements are to be made understanding and evaluating NFT–ABI applications.
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