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首页> 外文期刊>Journal of Neurophysiology >Visual epidural field potentials possess high functional specificity in single trials
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Visual epidural field potentials possess high functional specificity in single trials

机译：视觉硬膜外潜力在单次试验中具有高功能特异性

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Recordings of epidural field potentials (EFPs) allow neuronal activity to be acquired over a large region of cortical tissue with minimal invasiveness. Because electrodes are placed on top of the dura and do not enter the neuronal tissue, EFPs offer intriguing options for both clinical and basic science research. On the other hand, EFPs represent the integrated activity of larger neuronal populations and possess a higher trial-by-trial variability and a reduced signal-to-noise ratio due the additional barrier of the dura. It is thus unclear whether and to what extent EFPs have sufficient spatial selectivity to allow for conclusions about the underlying functional cortical architecture, and whether single EFP trials provide enough information on the short timescales relevant for many clinical and basic neuroscience purposes. We used the high spatial resolution of primary visual cortex to address these issues and investigated the extent to which very short EFP traces allow reliable decoding of spatial information. We briefly presented different visual objects at one of nine closely adjacent locations and recorded neuronal activity with a high-density epidural multielectrode array in three macaque monkeys. With the use of receiver operating characteristics (ROC) to identify the most informative data, machine-learning algorithms provided close-to-perfect classification rates for all 27 stimulus conditions. A binary classifier applying a simple max function on ROC-selected data further showed that single trials might be classified with 100% performance even without advanced offline classifiers. Thus, although highly variable, EFPs constitute an extremely valuable source of information and offer new perspectives for minimally invasive recording of large-scale networks.
机译：硬膜外局部电位（EFP）的录制允许在大型皮质组织的大型皮质组织中获得神经元活动，其侵入性最小。因为将电极放在硬脑膜顶部并且不进入神经元组织，EFPS为临床和基础科学研究提供有趣的选择。另一方面，EFP代表较大神经元群​​的综合活性，并且具有较高的试验变异性和由于硬脑膜的附加屏障而降低的信噪比。因此，不清楚EFP是否具有足够的空间选择性，以允许关于潜在的功能皮质架构的结论，以及单个EFP试验是否提供足够的信息，以便对许多临床和基本神经科学的短期时间提供足够的信息。我们使用了主视觉皮层的高空间分辨率来解决这些问题，并调查了非常短的EFP迹线允许可靠地解码空间信息的程度。我们在九个紧密位置的一个中简要呈现不同的视觉物体，并在三个猕猴中用高密度硬膜多电极阵列记录神经元活动。随着接收器操作特性（ROC）来识别最具信息丰富的数据，机器学习算法为所有27个刺激条件提供了近距离的分类速率。在Roc-Selected数据上应用一个简单的最大函数的二进制分类器进一步显示，即使没有高级离线分类器，也可以在100％性能下分类单个试验。因此，虽然高度变量，EFP构成了极其有价值的信息来源，并为大规模网络的微创录制提供了新的视角。

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