Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas
Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas
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DOI：
10.1093/brain/awy035
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发表时间：
2018-04-01
期刊：
影响因子：
14.5
通讯作者：
Gotman, Jean
中科院分区：
文献类型：
--
作者：
Frauscher, Birgit;von Ellenrieder, Nicolas;Gotman, Jean
与头皮脑电图相比，我们对正常生理颅内脑电活动的了解很少。这项多中心研究提供了一个在清醒状态下人脑正常颅内脑电图的图谱。在这里，我们提出的结果，功率谱分析在清醒状态。当外科治疗和非侵入性方法的候选人未能充分定位癫痫病灶时，将颅内电极放置在癫痫患者的大脑中或大脑上。电极触点通常位于显示癫痫活动的皮质区域，但也有一些位于正常区域，与致痫区或病变有一定距离。从三个三级癫痫中心选择使用严格标准定义为非常可能在健康脑区域的颅内EEG通道。所有接触均定位在一个共同的立体定向空间，允许许多受试者的结果累积和叠加。选择清醒期间的62个无伪影切片。计算38个大脑区域的功率谱，并与一组没有谱峰的通道进行比较，以识别不同区域中的显著峰。从106例患者中共识别出1785个正常脑活动的通道。皮质灰质平均每立方厘米有2.7个通道。每个脑区的接触次数平均为47次（范围6-178次）。我们发现不同脑叶的频谱密度分布存在显著差异，额叶的β活动（20-24 Hz），枕叶有明显的α峰（9.25-10.25 Hz），中间α在顶叶中，α（8.25-9.25 Hz）和β（17-20 Hz）频率较低，而在颞叶中，α（7.75-8.25 Hz）和δ（0.75-2.25 Hz）频率较低。一些皮层区域显示出特定的电生理特征：在中央前回（外侧：峰值频率范围，20-24 Hz;内侧：24-30 Hz）、额下回的盖部（20 - 24 Hz）、楔叶（7.75-8.75 Hz）和海马（0.75-1.25 Hz）中发现了> 60%通道中存在的峰值。8%的所有分析通道有一个以上的光谱峰，这些通道主要记录从感觉和运动区域。在整个枕叶中，α波活动并不存在，在清醒时，一些皮质区域的δ波活动出现峰值。这是正常颅内EEG活动的第一个图谱;它包括在一个共同的立体定向空间中的所有皮层区域的密集覆盖，使得能够直接比较受试者之间的EEG。这个图谱提供了一个标准的基线，临床脑电图和实验结果可以进行比较。它作为一个开放的网络资源（https：//www.example.com）提供。mni-open-ieegatlas.research.mcgill.ca
In contrast to scalp EEG, our knowledge of the normal physiological intracranial EEG activity is scarce. This multicentre study provides an atlas of normal intracranial EEG of the human brain during wakefulness. Here we present the results of power spectra analysis during wakefulness. Intracranial electrodes are placed in or on the brain of epilepsy patients when candidates for surgical treatment and non-invasive approaches failed to sufficiently localize the epileptic focus. Electrode contacts are usually in cortical regions showing epileptic activity, but some are placed in normal regions, at distance from the epileptogenic zone or lesion. Intracranial EEG channels defined using strict criteria as very likely to be in healthy brain regions were selected from three tertiary epilepsy centres. All contacts were localized in a common stereotactic space allowing the accumulation and superposition of results from many subjects. Sixty-second artefact-free sections during wakefulness were selected. Power spectra were calculated for 38 brain regions, and compared to a set of channels with no spectral peaks in order to identify significant peaks in the different regions. A total of 1785 channels with normal brain activity from 106 patients were identified. There were on average 2.7 channels per cm 3 of cortical grey matter. The number of contacts per brain region averaged 47 (range 6-178). We found significant differences in the spectral density distributions across the different brain lobes, with beta activity in the frontal lobe (20-24 Hz), a clear alpha peak in the occipital lobe (9.25-10.25 Hz), intermediate alpha (8.25-9.25 Hz) and beta (17-20 Hz) frequencies in the parietal lobe, and lower alpha (7.75-8.25 Hz) and delta (0.75-2.25 Hz) peaks in the temporal lobe. Some cortical regions showed a specific electrophysiological signature: peaks present in > 60% of channels were found in the precentral gyrus (lateral: peak frequency range, 20-24 Hz; mesial: 24-30 Hz), opercular part of the inferior frontal gyrus (20-24 Hz), cuneus (7.75-8.75 Hz), and hippocampus (0.75-1.25 Hz). Eight per cent of all analysed channels had more than one spectral peak; these channels were mostly recording from sensory and motor regions. Alpha activity was not present throughout the occipital lobe, and some cortical regions showed peaks in delta activity during wakefulness. This is the first atlas of normal intracranial EEG activity; it includes dense coverage of all cortical regions in a common stereotactic space, enabling direct comparisons of EEG across subjects. This atlas provides a normative baseline against which clinical EEGs and experimental results can be compared. It is provided as an open web resource (https://mni-open-ieegatlas.research.mcgill.ca).