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["连接大脑":用于脑网络疾病治疗性闭环刺激的协同项目]

["ConnectToBrain" : Synergy project for therapeutic closed-loop stimulation of brain network disorders].

作者信息

Ziemann Ulf, Romani Gian-Luca, Ilmoniemi Risto J

机构信息

Abteilung Neurologie mit Schwerpunkt neurovaskuläre Erkrankungen und Neuroonkologie, Hertie-Institut für Klinische Hirnforschung, Eberhard-Karls-Universität Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Deutschland.

Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University of Chieti-Pescara, Chieti, Italien.

出版信息

Nervenarzt. 2019 Aug;90(8):804-808. doi: 10.1007/s00115-019-0747-x.

Abstract

Therapeutic non-invasive transcranial brain stimulation with previous treatment protocols showed at best moderate effect sizes and large interindividual variability with a substantial proportion of non-responders. A currently intensively discussed approach to address these problems is individualized closed-loop stimulation. ConnectToBrain is a synergy project funded by the European Research Council to develop noninvasive closed-loop therapeutic stimulation of network disorders of the human brain.It consists of three main pillars: (1) development of a multichannel transcranial magnetic stimulation (mTMS) coil array that covers nearly all of the cerebral cortex and enables highly precise electronic control of location, direction, intensity and timing of the induced electrical fields, (2) development of real-time analysis of activity and connectivity in brain networks using electroencephalography (EEG) for instantaneous spatial and temporal control of stimulation (brain state-dependent, closed-loop stimulation) and adaptive optimization of treatment effects by machine learning and (3) translation of these neurotechnological innovations into physiological and clinical studies.

摘要

采用先前的治疗方案进行治疗性非侵入性经颅脑刺激,其效果大小充其量为中等,个体间差异较大,且有相当一部分无反应者。目前正在深入讨论的解决这些问题的方法是个性化闭环刺激。ConnectToBrain是一个由欧洲研究理事会资助的协同项目,旨在开发对人脑网络障碍进行非侵入性闭环治疗刺激。它由三个主要支柱组成:(1)开发一种多通道经颅磁刺激(mTMS)线圈阵列,该阵列几乎覆盖整个大脑皮层,并能够对感应电场的位置、方向、强度和时间进行高精度电子控制;(2)利用脑电图(EEG)对脑网络中的活动和连通性进行实时分析,以实现对刺激的瞬时空间和时间控制(脑状态依赖的闭环刺激),并通过机器学习对治疗效果进行自适应优化;(3)将这些神经技术创新转化为生理学和临床研究。

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