NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA.
Neuroscience Research Institute, Peking University, Xueyuan Road, Haidian District, Beijing 10083, China.
Sci Adv. 2016 Nov 9;2(11):e1601027. doi: 10.1126/sciadv.1601027. eCollection 2016 Nov.
Localizing neuronal patterns that generate pathological brain signals may assist with tissue resection and intervention strategies in patients with neurological diseases. Precise localization requires high spatiotemporal recording from populations of neurons while minimizing invasiveness and adverse events. We describe a large-scale, high-density, organic material-based, conformable neural interface device ("NeuroGrid") capable of simultaneously recording local field potentials (LFPs) and action potentials from the cortical surface. We demonstrate the feasibility and safety of intraoperative recording with NeuroGrids in anesthetized and awake subjects. Highly localized and propagating physiological and pathological LFP patterns were recorded, and correlated neural firing provided evidence about their local generation. Application of NeuroGrids to brain disorders, such as epilepsy, may improve diagnostic precision and therapeutic outcomes while reducing complications associated with invasive electrodes conventionally used to acquire high-resolution and spiking data.
定位产生病理性脑信号的神经元模式可能有助于神经疾病患者的组织切除和干预策略。精确的定位需要从神经元群体中进行高时空记录，同时最大限度地减少侵入性和不良事件。我们描述了一种大规模、高密度、基于有机材料的、顺应性的神经接口设备（“NeuroGrid”），能够从皮质表面同时记录局部场电位（LFPs）和动作电位。我们证明了在麻醉和清醒的受试者中使用 NeuroGrids 进行术中记录的可行性和安全性。记录到了高度本地化和传播的生理和病理 LFP 模式，相关的神经放电提供了关于其局部产生的证据。NeuroGrids 在脑疾病（如癫痫）中的应用可能会提高诊断精度和治疗效果，同时减少与传统用于获取高分辨率和尖峰数据的侵入性电极相关的并发症。
