Dominant frequencies of resting human brain activity as measured by the electrocorticogram.
Dominant frequencies of resting human brain activity as measured by the electrocorticogram.
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DOI：
10.1016/j.neuroimage.2013.04.044
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发表时间：
2013-10-01
期刊：
影响因子：
5.7
通讯作者：
Mehta, Ashesh D.
中科院分区：
文献类型：
--
作者：
Groppe, David M.;Bickel, Stephan;Keller, Corey J.;Jain, Sanjay K.;Hwang, Sean T.;Harden, Cynthia;Mehta, Ashesh D.
大脑的自发的、内在的活动越来越多地被证明可以揭示大脑功能，描绘大规模的大脑网络，诊断大脑疾病。脑电皮层图（ECoG）是一种相对局部化的皮层突触活动测量方法，是研究和临床应用最多的脑内活动类型之一。在这里，我们客观地描述了ECoG振荡的类型通常观察到特定的皮层区域时，一个人是清醒的，不动的眼睛闭上，使用基于表面的皮质图谱和聚类分析。这两种方法都表明，[1]在皮层区域的主频率中通常存在很大的变化，并且在采样的区域中主频率存在很大的重叠（主要是横向中央，颞叶和额叶区域），[2] θ（4-8 Hz）是以7 Hz左右的模式采样的区域中最主要的振荡类型，[3] α波（8-13 Hz）主要局限于顶叶和枕叶区域，[4] β波（13-30 Hz）在罗兰周围、额中回和盖部突出。此外，聚类分析揭示了7种类型的ECoG频谱功率密度（SPD）。其中6个在3、5、7（窄）、7（宽）、10和17 Hz处具有峰，而其余的簇广泛分布，在8、19和42 Hz处具有不太明显的峰。这些类别在很大程度上证实了传统的亚伽马频带的区别（δ，θ，α和β），并建议多个子类型的θ。最后，我们注意到伽马/高伽马活动（30+ Hz）有时被显著观察到，但在个体之间太罕见和可变，无法可靠地表征。这些结果应该有助于识别ECoG振荡的异常模式，为EEG/MEG内在活动的解释提供信息，并深入了解这些不同振荡的功能和产生它们的网络。具体来说，我们的研究结果支持理论的theta振荡在一般皮层功能的重要性，表明α活动主要与感觉处理/注意力，并证明β网络远远超出了主要的感觉运动区域。
The brain’s spontaneous, intrinsic activity is increasingly being shown to reveal brain function, delineate large scale brain networks, and diagnose brain disorders. One of the most studied and clinically utilized types of intrinsic brain activity are oscillations in the electrocorticogram (ECoG), a relatively localized measure of cortical synaptic activity. Here we objectively characterize the types of ECoG oscillations commonly observed over particular cortical areas when an individual is awake and immobile with eyes closed, using a surface-based cortical atlas and cluster analysis. Both methods show that [1] there is generally substantial variability in the dominant frequencies of cortical regions and substantial overlap in dominant frequencies across the areas sampled (primarily lateral central, temporal, and frontal areas), [2] theta (4–8 Hz) is the most dominant type of oscillation in the areas sampled with a mode around 7 Hz, [3] alpha (8–13 Hz) is largely limited to parietal and occipital regions, and [4] beta (13–30 Hz) is prominent peri-Rolandically, over the middle frontal gyrus, and the pars opercularis. In addition, the cluster analysis revealed seven types of ECoG spectral power densities (SPDs). Six of these have peaks at 3, 5, 7 (narrow), 7 (broad), 10, and 17 Hz, while the remaining cluster is broadly distributed with less pronounced peaks at 8, 19, and 42 Hz. These categories largely corroborate conventional sub-gamma frequency band distinctions (delta, theta, alpha, and beta) and suggest multiple sub-types of theta. Finally, we note that gamma/high gamma activity (30+ Hz) was at times prominently observed, but was too infrequent and variable across individuals to be reliably characterized. These results should help identify abnormal patterns of ECoG oscillations, inform the interpretation of EEG/MEG intrinsic activity, and provide insight into the functions of these different oscillations and the networks that produce them. Specifically, our results support theories of the importance of theta oscillations in general cortical function, suggest that alpha activity is primarily related to sensory processing/attention, and demonstrate that beta networks extend far beyond primary sensorimotor regions.
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影响因子：
4.7
作者：
Dustman, RE;Shearer, DE;Emmerson, RY
通讯作者：
Emmerson, RY
影响因子：
2.5
作者：
Feige, B;Scheffler, K;Seifritz, E
通讯作者：
Seifritz, E
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
5.7
作者：
Huang, Ruey-Song;Jung, Tzyy-Ping;Makeig, Scott
通讯作者：
Makeig, Scott
影响因子：
16.2
作者：
Buschman TJ;Denovellis EL;Diogo C;Bullock D;Miller EK
通讯作者：
Miller EK