Origins of ECoG

ECoG 的起源

• 批准号: 10613989
• 负责人: Kristofer E. Bouchard
• 金额: $ 41.23万
• 依托单位: UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10613989
• 关键词: Action Potentials; Adoption; Anatomy; Animal Model; Area; Auditory area; Axon; Behavior; Biophysical Process; Biophysics; Brain; Cells; Cellular Morphology; Cerebral cortex; Clinical; Collaborations; Complex; Cortical Column; Dendrites; Device Designs; Devices; Diameter; Disease; Electrocorticogram; Electrodes; Electrophysiology (science); Epilepsy; Foundations; Frequencies; Generations; Halorhodopsins; Health; Human; Interneurons; Investigation; Link; Location; Mathematics; Measures; Membrane; Methodology; Modeling; Monitor; Morphology; Mus; Neurons; Neurosciences; Physiology; Population; Procedures; Pyramidal Cells; Rattus; Reporting; Research; Sensory; Signal Transduction; Site; Source; Surface; Technology; Testing; Work; biophysical properties; brain machine interface; cell type; clinical application; density; design; electrical potential; fabrication; human model; improved; neuronal cell body; neurophysiology; novel; optogenetics; sensor; sensory stimulus; simulation; source localization; spatiotemporal; temporal measurement; tool

ABSTRACT Electrocorticography (ECoG) uses many sensors to measure mesoscale electrical potentials directly from the surface of cerebral cortex, termed cortical surface electrical potentials (CSEPs). Though ECoG has long been used clinically, newly improved fabrication procedures have enabled devices with sufficiently small electrodes to record very high-frequency, spatially localized signals. These high-frequency CSEPs may be primarily generated within a single cortical column, and thus are an ideal signal to link investigation of brain function from local micro-circuit processing to broadly distributed computations. No other current recording technology provides these signals in both humans and animal models. ECoG is thus a critical methodological bridge between basic neuroscience findings and our understanding of the human brain in health and disease. However, adoption of ECoG for basic neuroscience, and realizing its full potentials in humans, is impeded by a lack of understanding of the precise biophysical processes that generate CSEPs. We have collaborated in the design of novel ECoG devices with small electrodes. With these devices, we discovered that CSEPs include multiple distinct high-frequency (>100Hz) components, which are spatially localized to the diameter of a cortical column. Here, we propose to use direct electrophysiological monitoring and optogenetic perturbations in rats and mice, combined with biophysically detailed simulations to reveal the origins of these distinct frequency components of ECoG signals. We hypothesize that distinct CSEP components represent distinct cell types and laminar sources within a cortical column, and thus report different types of information in the local cortical network associated with these sources This research will provide understanding of the cellular and biophysical origins of cortical surface electrical potentials. By enhancing the spatial localization of sources associated with distinct CSEP components, we will increase the precision with which ECoG can be used to monitor neuronal processing. This will advance the use of ECoG in basic neuroscience for ‘columnar scale’ neurophysiology monitoring of distributed cortical processing at high temporal resolution.

摘要 皮层电图（ECoG）使用许多传感器直接测量中尺度电位 从大脑皮层的表面，称为皮质表面电位（CSEP）。虽然 ECoG长期以来一直用于临床，新改进的制造程序使设备 用足够小的电极来记录非常高频率的空间局部化信号。这些 高频CSEP可以主要在单个皮质柱内产生，并且因此是一种 理想的信号连接从局部微电路处理到广泛的脑功能研究 分布式计算没有其他当前的记录技术在这两种情况下提供这些信号。 人类和动物模型。因此，ECoG是基本方法之间的关键方法论桥梁 神经科学的发现和我们对健康和疾病中的人类大脑的理解。然而，在这方面， 采用ECoG的基础神经科学，并实现其在人类的全部潜力，是阻碍了一个 缺乏对产生CSEP的精确生物物理过程的理解。 我们已经合作设计了具有小电极的新型ECOCOG设备。与这些 设备，我们发现CSEP包括多个不同的高频（> 100 Hz）组件， 其在空间上定位于皮质柱的直径。在这里，我们建议直接使用 大鼠和小鼠的电生理监测和光遗传学扰动， 详细的模拟，以揭示这些不同的频率成分的起源， ECoG信号。我们假设不同的CSEP成分代表不同的细胞类型， 皮层柱内的层状源，从而在局部报告不同类型的信息， 与这些来源相关的皮层网络 这项研究将有助于理解皮质神经元的细胞和生物物理起源。 表面电位通过增强与不同的信号源相关的空间定位， CSEP成分，将提高ECoG用于神经元监测的精度 处理.这将促进ECoG在基础神经科学中的“柱状尺度”的使用 以高时间分辨率对分布式皮质处理进行神经生理学监测。

项目成果

Columnar Localization and Laminar Origin of Cortical Surface Electrical Potentials.

皮质表面电势的柱状定位和层状起源。

• DOI: 10.1523/jneurosci.1787-21.2022
• 发表时间: 2022
• 期刊: The Journal of neuroscience : the official journal of the Society for Neuroscience
• 作者: Baratham,VyassaL;Dougherty,MaximilianE;Hermiz,John;Ledochowitsch,Peter;Maharbiz,MichelM;Bouchard,KristoferE
• 通讯作者: Bouchard,KristoferE

Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional Coupling.

解决不可识别性可以减轻神经调节和功能耦合模型中的偏差。

• DOI: 10.1101/2023.07.11.548615
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Sachdeva,Pratik;Bak,JiHyun;Livezey,Jesse;Kirst,Christoph;Frank,Loren;Bhattacharyya,Sharmodeep;Bouchard,KristoferE
• 通讯作者: Bouchard,KristoferE