Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute for Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany.
Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Biol Psychiatry. 2024 Mar 15;95(6):545-552. doi: 10.1016/j.biopsych.2023.09.014. Epub 2023 Sep 22.
In the same way that beauty lies in the eye of the beholder, what a stimulus does to the brain is determined not simply by the nature of the stimulus but by the nature of the brain that is receiving the stimulus at that instant in time. Over the past decades, therapeutic brain stimulation has typically applied open-loop fixed protocols and has largely ignored this principle. Only recent neurotechnological advancements have enabled us to predict the nature of the brain (i.e., the electrophysiological brain state in the next instance in time) with sufficient temporal precision in the range of milliseconds using feedforward algorithms applied to electroencephalography time-series data. This allows stimulation exclusively whenever the targeted brain area is in a prespecified excitability or connectivity state. Preclinical studies have shown that repetitive stimulation during a particular brain state (e.g., high-excitability state), but not during other states, results in lasting modification (e.g., long-term potentiation) of the stimulated circuits. Here, we survey the evidence that this is also possible at the systems level of the human cortex using electroencephalography-informed transcranial magnetic stimulation. We critically discuss opportunities and difficulties in developing brain state-dependent stimulation for more effective long-term modification of pathological brain networks (e.g., in major depressive disorder) than is achievable with conventional fixed protocols. The same real-time electroencephalography-informed transcranial magnetic stimulation technology will allow closing of the loop by recording the effects of stimulation. This information may enable stimulation protocol adaptation that maximizes treatment response. This way, brain states control brain stimulation, thereby introducing a paradigm shift from open-loop to closed-loop stimulation.
同样,美是主观的,刺激对大脑的影响不仅取决于刺激的本质,还取决于大脑在特定时刻接收刺激的本质。在过去的几十年中,治疗性脑刺激通常采用开环固定方案,在很大程度上忽略了这一原则。只有最近的神经技术进步才使我们能够使用前馈算法应用于脑电图时间序列数据,以毫秒级的时间精度预测大脑的本质(即在接下来的时间实例中的电生理脑状态)。这使得我们可以仅在目标脑区处于特定兴奋性或连通性状态时进行刺激。临床前研究表明,在特定脑状态(例如高兴奋性状态)期间进行重复刺激,但不在其他状态下进行刺激,会导致刺激回路的持久改变(例如长时程增强)。在这里,我们使用脑电图指导的经颅磁刺激来调查在人类皮层系统水平上也有可能实现这一点的证据。我们批判性地讨论了开发基于脑状态的刺激的机会和困难,以实现对病理性脑网络(例如,在重度抑郁症中)的长期修饰,其效果优于传统的固定方案。相同的实时脑电图指导的经颅磁刺激技术将通过记录刺激的效果来实现闭环。该信息可能使刺激方案适应最大化治疗反应。这样,脑状态控制脑刺激,从而从开环刺激向闭环刺激引入范式转变。