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本文引用的文献

1
Real-Time Functional Magnetic Resonance Imaging Amygdala Neurofeedback Changes Positive Information Processing in Major Depressive Disorder.实时功能磁共振成像杏仁核神经反馈改变重性抑郁障碍的正性信息加工。
Biol Psychiatry. 2017 Oct 15;82(8):578-586. doi: 10.1016/j.biopsych.2017.03.013. Epub 2017 Mar 28.
2
Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall.实时功能磁共振成像杏仁核神经反馈治疗重度抑郁症的随机临床试验:对症状和自传体记忆回忆的影响
Am J Psychiatry. 2017 Aug 1;174(8):748-755. doi: 10.1176/appi.ajp.2017.16060637. Epub 2017 Apr 14.
3
Brain-Computer Interface-Based Communication in the Completely Locked-In State.基于脑机接口的完全闭锁状态下的通信
PLoS Biol. 2017 Jan 31;15(1):e1002593. doi: 10.1371/journal.pbio.1002593. eCollection 2017 Jan.
4
Closed-loop brain training: the science of neurofeedback.闭环脑训练:神经反馈的科学。
Nat Rev Neurosci. 2017 Feb;18(2):86-100. doi: 10.1038/nrn.2016.164. Epub 2016 Dec 22.
5
The effect of strategies, goals and stimulus material on the neural mechanisms of emotion regulation: A meta-analysis of fMRI studies.策略、目标和刺激材料对情绪调节神经机制的影响:功能磁共振成像研究的荟萃分析。
Neurosci Biobehav Rev. 2017 Jan;72:111-128. doi: 10.1016/j.neubiorev.2016.11.014. Epub 2016 Nov 25.
6
The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real-time fMRI neurofeedback.创伤后应激障碍中情绪调节的神经生物学:通过实时功能磁共振成像神经反馈下调杏仁核
Hum Brain Mapp. 2017 Jan;38(1):541-560. doi: 10.1002/hbm.23402. Epub 2016 Sep 20.
7
Real-Time fMRI Neurofeedback with War Veterans with Chronic PTSD: A Feasibility Study.针对患有慢性创伤后应激障碍的退伍军人的实时功能磁共振成像神经反馈:一项可行性研究。
Front Psychiatry. 2016 Jun 21;7:111. doi: 10.3389/fpsyt.2016.00111. eCollection 2016.
8
Amygdala Regulation Following fMRI-Neurofeedback without Instructed Strategies.功能性磁共振成像神经反馈后杏仁核的调节(无指导性策略)
Front Hum Neurosci. 2016 Apr 26;10:183. doi: 10.3389/fnhum.2016.00183. eCollection 2016.
9
Covert neurofeedback without awareness shapes cortical network spontaneous connectivity.无意识的隐蔽神经反馈塑造皮层网络自发连通性。
Proc Natl Acad Sci U S A. 2016 Apr 26;113(17):E2413-20. doi: 10.1073/pnas.1516857113. Epub 2016 Apr 11.
10
Neural Correlates of Success and Failure Signals During Neurofeedback Learning.神经反馈学习过程中成功与失败信号的神经关联。
Neuroscience. 2018 May 15;378:11-21. doi: 10.1016/j.neuroscience.2016.04.003. Epub 2016 Apr 5.

杏仁核神经反馈的监测和控制涉及到人类大脑中的分布式信息处理。

Monitoring and control of amygdala neurofeedback involves distributed information processing in the human brain.

机构信息

Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Heidelberg, Germany.

Department Neuroimaging, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Heidelberg, Germany.

出版信息

Hum Brain Mapp. 2018 Jul;39(7):3018-3031. doi: 10.1002/hbm.24057. Epub 2018 Mar 30.

DOI:10.1002/hbm.24057
PMID:29602255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6866431/
Abstract

Brain-computer interfaces provide conscious access to neural activity by means of brain-derived feedback ("neurofeedback"). An individual's abilities to monitor and control feedback are two necessary processes for effective neurofeedback therapy, yet their underlying functional neuroanatomy is still being debated. In this study, healthy subjects received visual feedback from their amygdala response to negative pictures. Activation and functional connectivity were analyzed to disentangle the role of brain regions in different processes. Feedback monitoring was mapped to the thalamus, ventromedial prefrontal cortex (vmPFC), ventral striatum (VS), and rostral PFC. The VS responded to feedback corresponding to instructions while rPFC activity differentiated between conditions and predicted amygdala regulation. Control involved the lateral PFC, anterior cingulate, and insula. Monitoring and control activity overlapped in the VS and thalamus. Extending current neural models of neurofeedback, this study introduces monitoring and control of feedback as anatomically dissociated processes, and suggests their important role in voluntary neuromodulation.

摘要

脑机接口通过大脑衍生的反馈(“神经反馈”)提供对神经活动的意识访问。个体监测和控制反馈的能力是神经反馈疗法有效的两个必要过程,但它们的潜在功能神经解剖学仍存在争议。在这项研究中,健康受试者接收到来自其杏仁核对负面图片反应的视觉反馈。分析了激活和功能连接,以厘清不同过程中脑区的作用。反馈监测映射到丘脑、腹内侧前额叶皮层(vmPFC)、腹侧纹状体(VS)和额前皮质(rPFC)。VS 对与指令相对应的反馈作出反应,而 rPFC 活动则区分条件并预测杏仁核调节。控制涉及外侧前额叶皮层、前扣带皮层和脑岛。监测和控制活动在 VS 和丘脑重叠。这项研究扩展了当前神经反馈的神经模型,将反馈的监测和控制作为解剖分离的过程引入,并表明它们在自愿神经调节中的重要作用。