Integrated Multiscale Data Acquisition System for Human Intracranial Neurophysiol

描述（由申请人提供）：直接从人脑电生理记录是一个难得的机会，提供了临床需要的患者接受颅内监测癫痫手术。PI R01的主要重点是使用微电极阵列记录局部场电位，多单元和单个神经元活动来研究人类大脑中自发癫痫发作的空间特性，以及它们如何在标准脑电图中反映出来。PI的同事们，包括该提案的主要和次要用户，都在进行r01资助的基础认知神经科学研究，利用PI临床项目框架内对外科癫痫患者进行更直接的大脑研究的机会。因此，该提案旨在显著扩展现有的病理和正常功能研究，否则这些研究仅限于动物模型或非侵入性脑电图-这是一个罕见且几乎前所未有的机会。我们申请资金用于临床批准的256通道集成记录系统，能够以高达30 kHz/通道的可变采样率从多种类型的电极记录。该系统将允许我们在频谱和空间尺度上获得高质量的脑电图记录，精确地锁定到单位活动。利用仪器上方便提供的软件工具将所有这些数据类型汇编成一个单一的、有凝聚力的数据集，以及由研究人员共享的数据集，将简化和加强小组之间的数据共享。我们预计，该系统将使许多未来的电生理研究能够利用临床传感器技术在各种临床和研究领域的迅速发展。

DESCRIPTION (provided by applicant): Direct electrophysiological recordings from human brains are a rare opportunity afforded by the clinical needs of patients undergoing intracranial monitoring for epilepsy surgery. The primary focus of the PI's R01 is on using microelectrode array recordings of local field potentials, multi-unit and single neuron activity to investigate th spatial properties of spontaneous seizures in the human brain, and how they are reflected in standard EEG. The PI's colleagues, included as major and minor users in this proposal, pursue R01-funded research in basic cognitive neuroscience that exploits the opportunity for more direct brain investigation in surgical epilepsy patients within the framework of the PI's clinical program. This proposal thus aims to extend significantly existing investigations of both pathological and normal function that are otherwise restricted to animal models or non-invasive EEG - a rare and almost unprecedented opportunity. We request funding for a clinically approved, 256-channel integrated recording system, capable of recording from many types of electrodes at variable sampling rates up to 30 kHz/channel. This system will allow us to obtain high quality EEG recordings across a spectrum of frequencies and spatial scales, precisely timelocked to unit activity. The compilation of all these data types into a single, cohesive data set with software tools conveniently provided on the instrument as well as those shared by the investigators will simplify and enhance data sharing among the group. We anticipate that this system will enable many future electrophysiological investigations in humans that make use of the burgeoning advances in clinical sensor technology in a variety of clinical and investigative fields.