CRCNS: US-German Data Sharing Proposal: Analysis and Visualization of Neural Osci

描述（由申请人提供）：提议的拨款提案的目标是促进两个实验室之间的国际合作，研究感知和认知的神经元基础。该资助的具体目的是分析从植入大脑的患者那里获得的独特数据集，额外收集和分析免费的头皮脑电图数据，以及创建和向更广泛的科学界公开传播分析工具箱。此外，将编写一份关于实验数据集分析的出版物。该基金将用于资助学生和博士后的工资以及中期交流访问。认知神经科学研究得益于方法学和分析技术的快速发展。用硬膜下电极记录神经外科患者的皮质电图（ECoG）信号是研究感觉运动和认知过程背后的神经机制的有力方法。虽然ECoG记录为研究这些过程提供了独特的高空间和时间分辨率组合，但这种方法也有其局限性。电极记录位点很少在患者之间重叠，ECoG信号通常仅从几个皮质区域监测。与ECoG相比，使用脑电图（EEG）或脑磁图（MEG）对人类神经活动进行非侵入性记录的空间分辨率要低得多，而且测量的大脑信号的信噪比也降低了，但具有同时覆盖整个头部的优势。此外，最先进的源分析技术，特别是神经振荡分析，可以相对充分地估计EEG/MEG信号背后的皮层源，然而，验证其源解决方案需要侵入性电极放置。因此，结合ECoG和EEG/MEG信号的转化研究尤其有前景。然而，到目前为止，还没有专门针对神经振荡的ECoG和EEG/MEG信号进行比较的分析和可视化工具箱。拟议的项目将融合各实验室的专业知识

DESCRIPTION (provided by applicant): The goal of the proposed grant proposal is to foster international collaboration between two laboratories studying the neuronal basis of perception and cognition. Specific aims of the grant is the analysis of a unique data set obtained from patients with brain implants, the additional collection and analysis of complimentary scalp EEG data and the creation and public dissemination of an analysis toolbox to the wider scientific community. In addition, a publication will be prepared on the analysis of the experimental data sets. The grant will support student and postdoc salaries and medium-term exchange visits. Cognitive neuroscience research benefits vastly from the rapid progression of development in methodological approaches and analysis techniques. Recordings of electrocorticographic (ECoG) signals from neurosurgical patients with subdural electrodes represent a powerful approach for examining the neural mechanisms underlying sensorimotor and cognitive processes. While ECoG recordings provide an opportunity to study these processes with a unique combination of high spatial and temporal resolution, this approach also has its limitations. Electrode recordings sites rarely overlap across patients and ECoG signals are usually monitored only from a few cortical regions. Non-invasive recordings of neural activity in humans using electroencephalography (EEG) or magnetoencephalography (MEG) have a much lower spatial resolution and measure brain signals with a reduced signal-to-noise ratio compared to ECoG, but have the advantage of covering the entire head simultaneously. In addition, state-of-the-art source analysis techniques, especially the analysis of neural oscillations, may allow a relatively adequate estimation of the cortical sources underlying EEG/MEG signals, however, validating their source solutions requires invasive electrode placement. Therefore, translational studies combing ECoG and EEG/MEG signals from the same experimental paradigm are particularly promising. To date, however, there is no analysis and visualization toolbox for the comparison of ECoG and EEG/MEG signals that specifically focuses on neural oscillations. The proposed project will fuse the expertise of the laboratories of the two PIs by applying the oscillatory data analysis expertise of the Senkowski Lab to the unique multisensory ECoG data sets previously collected from invasive human intracranial recordings at the Thesen Lab. Specifically, available ECoG data from an intersensory attention paradigm will be analyzed and compared with EEG data recorded from the same paradigm. The central goals of the current proposal are (i) to develop a toolbox for the analysis and visualization of neural oscillations in ECoG data, and (ii) to test this ECoG-toolbox by analyzing intracranial and EEG data from an intersensory attention paradigm through collaborative data sharing. The toolbox, which will include functions enabling the comparison of ECoG signals with source-localized EEG/MEG signals, will be shared with the wider scientific community. Due to its functionality and its compatibility with the popular FieldTrip toolbox (http://fieldtrip.fcdonders.nl), the ECoG-toolbox will be of particular interest to the large numbe of researchers in this growing field of cognitive neuroscience. Overall, the development of the ECoG-toolbox could facilitate the translational research on neural oscillations. Since impairments in neural oscillations have often been linked to symptomatology in clinical populations, such as in patients with autism or schizophrenia, this research has significant clinical implications. A better understanding of the role of neural oscillations in cognitive functions could contribute to a better understanding of the symptomatology in these populations. Taken together, the current proposal will lead to empirical output based on collaborative sharing of data from an intersensory attention study. Furthermore, by developing a user-friendly toolbox for the analysis and visualization of neural synchrony in ECoG and combined ECoG-EEG data, there will be a direct benefit to the wider scientific community.