Khodagholy Dion, Ferrero Jose J, Park Jaehyo, Zhao Zifang, Gelinas Jennifer N
Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Institute for Genomic Medicine, Columbia University Irving Medical Center, 701 W 168(th) St., New York, NY 10032, USA.
Trends Neurosci. 2022 Dec;45(12):968-983. doi: 10.1016/j.tins.2022.10.003. Epub 2022 Oct 26.
Cognitive functions are increasingly understood to involve coordinated activity patterns between multiple brain regions, and their disruption by neuropsychiatric disorders is similarly complex. Closed-loop neurostimulation can directly modulate neural signals with temporal and spatial precision. How to leverage such an approach to effectively identify and target distributed neural networks implicated in mediating cognition remains unclear. We review current conceptual and technical advances in this area, proposing that devices that enable large-scale acquisition, integrated processing, and multiregion, arbitrary waveform stimulation will be critical for mechanistically driven manipulation of cognitive processes in physiological and pathological brain networks.
人们越来越认识到认知功能涉及多个脑区之间的协同活动模式，而神经精神疾病对其造成的破坏同样复杂。闭环神经刺激可以在时间和空间上精确地直接调节神经信号。如何利用这种方法有效地识别和靶向参与介导认知的分布式神经网络仍不清楚。我们回顾了该领域当前的概念和技术进展，提出能够实现大规模采集、集成处理以及多区域、任意波形刺激的设备对于在生理和病理脑网络中以机制驱动的方式操纵认知过程至关重要。
