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源自256通道头皮脑电图数据的癫痫棘波附近相位锥形成的振荡模式。

Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data.

作者信息

Ramon Ceon, Holmes Mark D, Wise Mackenzie V, Tucker Don, Jenson Kevin, Kinn Samuel R

机构信息

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA.

Regional Epilepsy Center, Department of Neurology, University of Washington, Seattle, WA 98195, USA.

出版信息

Comput Math Methods Med. 2018 Nov 21;2018:9034543. doi: 10.1155/2018/9034543. eCollection 2018.

Abstract

Our objective was to determine if there are any distinguishable phase cone clustering patterns present near to epileptic spikes. These phase cones arise from episodic phase shifts due to the coordinated activity of cortical neurons at or near to state transitions and can be extracted from the high-density scalp EEG recordings. The phase cone clustering activities in the low gamma band (30-50 Hz) and in the ripple band (80-150 Hz) were extracted from the analytic phase after taking Hilbert transform of the 256-channel high density (dEEG) data of adult patients. We used three subjects in this study. Spatiotemporal contour plots of the unwrapped analytic phase with 1.0 ms intervals were constructed using a montage layout of 256 electrode positions. Stable phase cone patterns were selected based on the criteria that the sign of the spatial gradient did not change for at least three consecutive time samples and the frame velocity was within the range of propagation velocities of cortical axons. These plots exhibited dynamical formation of phase cones which were higher in the seizure area as compared with the nearby surrounding brain areas. Spatiotemporal oscillatory patterns were also visible during ±5 sec period from the location of the spike. These results suggest that the phase cone activity might be useful for noninvasive localization of epileptic sites and also for examining the cortical neurodynamics near to epileptic spikes.

摘要

我们的目标是确定在癫痫棘波附近是否存在任何可区分的相位锥聚类模式。这些相位锥源于皮质神经元在状态转换时或接近状态转换时的协同活动所引起的偶发性相位偏移,并且可以从高密度头皮脑电图记录中提取出来。在对成年患者的256通道高密度(dEEG)数据进行希尔伯特变换后,从解析相位中提取低伽马波段(30 - 50Hz)和涟漪波段(80 - 150Hz)的相位锥聚类活动。本研究使用了三名受试者。利用256个电极位置的蒙太奇布局,构建了间隔为1.0毫秒的展开解析相位的时空等高线图。基于空间梯度的符号在至少三个连续时间样本中不变且帧速度在皮质轴突传播速度范围内的标准,选择稳定的相位锥模式。这些图展示了相位锥的动态形成,与附近周围脑区相比,癫痫发作区域的相位锥更高。在距棘波位置±5秒期间,时空振荡模式也清晰可见。这些结果表明,相位锥活动可能有助于癫痫部位的无创定位,也有助于检查癫痫棘波附近的皮质神经动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d87e/6343174/00b87273d054/CMMM2018-9034543.001.jpg

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