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基于实时 fMRI 的神经反馈在抑郁症中的临床应用。

Clinical Application of Real-Time fMRI-Based Neurofeedback for Depression.

机构信息

Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany.

出版信息

Adv Exp Med Biol. 2021;1305:275-293. doi: 10.1007/978-981-33-6044-0_15.

Abstract

Real-time functional magnetic resonance imaging-based neurofeedback (rt-fMRI NF) is a recent technique used to train self-regulation of circumscribed brain areas or networks. For clinical applications in depression, NF training targets brain areas with disturbed activation patterns, such as heightened reactivity of amygdala in response to negative stimuli, in order to normalize the neurophysiology and their behavioral correlates. Recent studies have targeted emotion processing areas such as the amygdala, the salience network, and top-down control areas such as the lateral prefrontal cortex. Different methods of rt-fMRI-based NF in depression, their potential for clinical improvement, and most recent advancements of this technology are discussed considering their role for future clinical applications. Initial findings of randomized controlled trials show promising results. However, for lasting treatment effects, clinical efficiency and optimal target regions, tasks, control conditions, and duration of training need to be established.

摘要

实时功能磁共振成像神经反馈(rt-fMRI NF)是一种最近用于训练特定脑区或网络自我调节的技术。对于抑郁症的临床应用,NF 训练的目标是大脑区域具有紊乱的激活模式,例如在对负面刺激的反应中杏仁核的反应性增强,以使其神经生理学及其行为相关性正常化。最近的研究针对情绪处理区域,如杏仁核、突显网络以及自上而下控制区域,如外侧前额叶皮层。考虑到它们在未来临床应用中的作用,本文讨论了抑郁症中基于 rt-fMRI 的 NF 的不同方法、它们对临床改善的潜力以及该技术的最新进展。随机对照试验的初步结果显示出有希望的结果。然而,为了获得持久的治疗效果,需要确定临床效率和最佳目标区域、任务、对照条件以及训练持续时间。

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