Barreiros Ana Rita, Almeida Inês, Baía Bárbara Correia, Castelo-Branco Miguel
CIBIT, ICNAS-Institute of Nuclear Sciences Applied to Health-and CNC.IBILI-Faculty of Medicine, Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, Azinhaga de Santa Comba, Coimbra, Portugal.
Front Hum Neurosci. 2019 Mar 26;13:89. doi: 10.3389/fnhum.2019.00089. eCollection 2019.
Available evidence suggests that individuals can enhance their ability to modulate brain activity in target regions, within the Emotion Regulation network, using fMRI-based neurofeedback. However, there is no systematic review that investigates the effectiveness of this method on amygdala modulation, a core region within this network. The major goal of this study was to systematically review and analyze the effects of real-time fMRI-Neurofeedback concerning the neuromodulation of the amygdala during Emotion Regulation training. A search was performed in PubMed, Science Direct, and Web of Science with the following key terms: ≪("neurofeedback" or "neuro feedback" or "neuro-feedback") and ("emotion regulation") and (fMRI OR "functional magnetic resonance"),≫ and afterwards two additional searches were performed, replacing the term "emotion regulation" for "amygdala" and "neurofeedback" for "feedback." Of the 531 identified articles, only 19 articles reported results of amygdala modulation during Emotional Regulation training through rtfMRI-NF, using healthy participants or patients, in original research articles. The results, systematically reviewed here, provide evidence for amygdala's modulation during rtfMRI-NF training, although studies' heterogeneity precluded a quantitative meta-analysis-the included studies relied on different outcome measures to infer the success of neurofeedback intervention. Thus, a qualitative analysis was done instead. We identified critical features influencing inference on the quality of the intervention as: the inclusion of a Practice Run, a Transfer Run and a Control Group in the protocol, and to choose adequate Emotion Regulation strategies-in particular, the effective recall of autobiographic memories. Surprisingly, the Regulated vs. Control Condition was lacking in most of the studies, precluding valid inference of amygdala neuromodulation within Session. The best controlled studies nevertheless showed positive effects. The type of stimulus/interface did not seem critical for amygdala modulation. We also identified potential effects of lateralization of amygdala responses following Up- or Down-Regulation, and the impact of fMRI parameters for data acquisition and analysis. Despite qualitative evidence for amygdala modulation during rtfMRI-NF, there are still important limitations in the design of a clear conceptual framework of NF-training research. Future studies should focus on more homogeneous guidelines concerning design, protocol structure and, particularly, harmonized outcome measures to provide quantitative estimates of neuromodulatory effects in the amygdala.
现有证据表明,个体可以通过基于功能磁共振成像(fMRI)的神经反馈来增强其调节情绪调节网络中目标区域大脑活动的能力。然而,尚无系统综述研究该方法对杏仁核调节的有效性,杏仁核是该网络的核心区域。本研究的主要目的是系统综述和分析实时fMRI神经反馈在情绪调节训练期间对杏仁核神经调节的影响。在PubMed、Science Direct和Web of Science数据库中进行了检索,检索关键词如下:≪(“神经反馈”或“neuro feedback”或“neuro - feedback”)和(“情绪调节”)以及(fMRI或“功能磁共振成像”)≫,之后又进行了另外两次检索,将“情绪调节”一词替换为“杏仁核”,将“神经反馈”一词替换为“反馈”。在531篇已识别的文章中,只有19篇原创研究文章报告了在使用健康参与者或患者的情况下,通过实时功能磁共振成像神经反馈(rtfMRI - NF)进行情绪调节训练期间杏仁核调节的结果。在此系统综述的结果为rtfMRI - NF训练期间杏仁核的调节提供了证据,尽管研究的异质性使得无法进行定量的荟萃分析——纳入的研究依靠不同的结果测量来推断神经反馈干预的成功与否。因此,改为进行定性分析。我们确定了影响干预质量推断的关键特征为:方案中包含练习运行、转移运行和对照组,以及选择适当的情绪调节策略——特别是有效地回忆自传体记忆。令人惊讶的是,大多数研究缺乏调节组与对照组的对比条件,这使得无法在训练期间对杏仁核神经调节进行有效的推断。然而,控制最好的研究显示出了积极效果。刺激/界面的类型似乎对杏仁核调节并不关键。我们还确定了上调或下调后杏仁核反应的偏侧化的潜在影响,以及fMRI参数对数据采集和分析的影响。尽管有定性证据表明rtfMRI - NF期间杏仁核受到调节,但在神经反馈训练研究的清晰概念框架设计方面仍存在重要局限性。未来的研究应侧重于关于设计、方案结构,特别是统一结果测量的更统一的指导方针,以提供杏仁核神经调节作用的定量估计。