MEG-based detection and localization of perilesional dysfunction in chronic stroke
MEG-based detection and localization of perilesional dysfunction in chronic stroke
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DOI：
10.1016/j.nicl.2015.03.019
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发表时间：
2015-01-01
影响因子：
4.2
通讯作者：
Meltzer, Jed A.
中科院分区：
文献类型：
--
作者：
Chu, Ron K. O.;Braun, Allen R.;Meltzer, Jed A.
卒中后损害不仅与结构性病变有关，而且与存活的病灶周围组织的功能障碍有关。以往的研究使用等效电流偶极子源定位的MEG/EEG信号已经证明了优势的慢波活动定位到病灶周围的地区。最近的研究也表明了非线性分析的效用，如多尺度熵（MSE）量化神经元功能障碍在广泛的病理。目前的研究利用基于波束形成器的源空间信号重建，比较病灶周围和健康皮层的电活动的频谱和非线性测量。数据收集自慢性中风患者和健康对照组，包括年轻人和老年人。我们评估了delta（1-4 Hz），theta（4-7 Hz），alpha（8-12 Hz）和beta（15-30 Hz）频段的相对功率，并使用MSE测量了电活动的非线性复杂性。病灶周围组织表现出功率谱的普遍减慢（增加的δ/θ，降低的β）以及MSE的降低。所有测试的措施都同样敏感的变化，在后方的病灶周围地区，但前病变周围功能障碍检测更好的MSE和β功率。研究结果还表明，MSE对病灶周围组织的电生理功能障碍特别敏感，而光谱测量值还受到老年人的rolandic β功率增加的影响。此外，左半球的病灶周围电生理异常与右半球的语言任务诱导的激活程度相关。最后，我们证明了单个受试者的光谱和非线性分析可以识别个体患者中功能障碍的病灶周围区域，这些区域可能是非侵入性脑刺激干预的理想目标。(C)2015作者爱思唯尔公司出版
Post-stroke impairment is associated not only with structural lesions, but also with dysfunction in surviving perilesional tissue. Previous studies using equivalent current dipole source localization of MEG/EEG signals have demonstrated a preponderance of slow-wave activity localized to perilesional areas. Recent studies have also demonstrated the utility of nonlinear analyses such as multiscale entropy (MSE) for quantifying neuronal dysfunction in a wide range of pathologies. The current study utilized beamformer-based reconstruction of signals in source space to compare spectral and nonlinear measures of electrical activity in perilesional and healthy cortices. Data were collected from chronic stroke patients and healthy controls, both young and elderly. We assessed relative power in the delta (1-4 Hz), theta (4-7 Hz), alpha (8-12 Hz) and beta (15-30 Hz) frequency bands, and also measured the nonlinear complexity of electrical activity using MSE. Perilesional tissue exhibited a general slowing of the power spectrum(increased delta/theta, decreased beta) as well as a reduction in MSE. All measures tested were similarly sensitive to changes in the posterior perilesional regions, but anterior perilesional dysfunction was detected better by MSE and beta power. The findings also suggest that MSE is specifically sensitive to electrophysiological dysfunction in perilesional tissue, while spectral measures were additionally affected by an increase in rolandic beta power with advanced age. Furthermore, perilesional electrophysiological abnormalities in the left hemisphere were correlated with the degree of language task-induced activation in the right hemisphere. Finally, we demonstrate that single subject spectral and nonlinear analyses can identify dysfunctional perilesional regions within individual patients that may be ideal targets for interventions with non-invasive brain stimulation. (C) 2015 The Authors. Published by Elsevier Inc.