关键词: ECoG Electrocorticogram Good research practice Intracranial recording in humans Stereotactic electroencephalography sEEG

Mesh : Brain / physiology Brain Mapping / methods Electrocorticography / methods Electrodes Electroencephalography / methods Humans

来  源:   DOI:10.1016/j.neuroimage.2022.119438   PDF(Pubmed)

Abstract:
Since the second-half of the twentieth century, intracranial electroencephalography (iEEG), including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG), has provided an intimate view into the human brain. At the interface between fundamental research and the clinic, iEEG provides both high temporal resolution and high spatial specificity but comes with constraints, such as the individual\'s tailored sparsity of electrode sampling. Over the years, researchers in neuroscience developed their practices to make the most of the iEEG approach. Here we offer a critical review of iEEG research practices in a didactic framework for newcomers, as well addressing issues encountered by proficient researchers. The scope is threefold: (i) review common practices in iEEG research, (ii) suggest potential guidelines for working with iEEG data and answer frequently asked questions based on the most widespread practices, and (iii) based on current neurophysiological knowledge and methodologies, pave the way to good practice standards in iEEG research. The organization of this paper follows the steps of iEEG data processing. The first section contextualizes iEEG data collection. The second section focuses on localization of intracranial electrodes. The third section highlights the main pre-processing steps. The fourth section presents iEEG signal analysis methods. The fifth section discusses statistical approaches. The sixth section draws some unique perspectives on iEEG research. Finally, to ensure a consistent nomenclature throughout the manuscript and to align with other guidelines, e.g., Brain Imaging Data Structure (BIDS) and the OHBM Committee on Best Practices in Data Analysis and Sharing (COBIDAS), we provide a glossary to disambiguate terms related to iEEG research.
摘要:
自二十世纪下半叶以来,颅内脑电图(iEEG),包括皮质脑电图(ECoG)和立体脑电图(sEEG),为人类大脑提供了一个亲密的视角。在基础研究和临床之间的接口,iEEG提供了高时间分辨率和高空间特异性,但有限制,如个人定制的电极采样稀疏度。多年来,神经科学的研究人员开发了他们的实践,以充分利用iEEG方法。在这里,我们提供iEEG研究实践的关键审查,在一个新的教学框架,以及解决熟练研究人员遇到的问题。范围有三个方面:(I)回顾iEEG研究中的常见做法,(ii)建议使用iEEG数据的潜在指南,并根据最广泛的实践回答常见问题,和(iii)基于当前的神经生理学知识和方法,为iEEG研究中的良好实践标准铺平道路。本文的组织遵循iEEG数据处理的步骤。第一部分介绍iEEG数据收集。第二部分集中于颅内电极的定位。第三部分重点介绍了主要的预处理步骤。第四部门提出了iEEG旌旗灯号剖析办法。第五部分讨论了统计方法。第六部门对iEEG研讨得出了一些独到的视角。最后,为了确保整个手稿的术语一致,并与其他准则保持一致,例如,脑成像数据结构(BIDS)和OHBM数据分析和共享最佳实践委员会(COBIDAS),我们提供了一个词汇表来消除与iEEG研究相关的术语歧义。
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