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基于脑电的新型神经反馈系统针对精神分裂症患者额部伽马活动,以改善工作记忆。

Novel EEG-Based Neurofeedback System Targeting Frontal Gamma Activity of Schizophrenia Patients to Improve Working Memory.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4031-4035. doi: 10.1109/EMBC48229.2022.9870878.

Abstract

Patients with schizophrenia (SCZ) exhibit working memory (WM) deficits that are associated with deficient dorsal-lateral prefrontal cortical activity, including decreased frontal gamma power. We thus hypothesized that training SCZ patients to increase frontal gamma activity would improve their WM performance. We administered electroencephalographic (EEG) neurofeedback (NFB) to 31 participants with SCZ for 12 weeks (24 sessions), which provides real-time visual and auditory feedback related to frontal gamma activity. The EEG-NFB training significantly improved EEG markers of optimal working memory, e.g., frontal P3 amplitude and gamma power. Based on these promising results, we developed a novel, EEGLAB/MATLAB-based brain-computer interface (BCI) that delivers F3-F4 gamma coherence NFB with a dynamic threshold to SCZ patients randomized in a double-blind, placebo-controlled clinical trial. The BCI significantly increased F3-F4 gamma coherence after 12 weeks (24 sessions) of training, according to data from the first 12 subjects ( n=6 /group) who completed gamma- or placebo-NFB training.

摘要

精神分裂症(SCZ)患者表现出工作记忆(WM)缺陷,这与背外侧前额皮质活动不足有关,包括额部伽马功率降低。因此,我们假设通过训练 SCZ 患者增加额部伽马活动,可改善其 WM 表现。我们对 31 名 SCZ 患者进行了为期 12 周(24 次)的脑电图(EEG)神经反馈(NFB)治疗,该治疗提供了与额部伽马活动相关的实时视觉和听觉反馈。EEG-NFB 训练显著改善了 WM 的最佳 EEG 标志物,例如额部 P3 振幅和伽马功率。基于这些有希望的结果,我们开发了一种新颖的基于 EEGLAB/MATLAB 的脑机接口(BCI),该接口使用动态阈值向 SCZ 患者提供 F3-F4 伽马相干性 NFB,该患者在一项双盲、安慰剂对照临床试验中进行了随机分组。根据前 12 位完成伽马或安慰剂-NFB 训练的受试者(n=6/组)的数据,BCI 在 12 周(24 次)的训练后显著增加了 F3-F4 伽马相干性。

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