Neuroelectrical Imaging and BCI Laboratory, Fondazione Santa Lucia, IRCCS, Via Ardeatina, 306 00179, Rome, Italy.
Neurology and Psychiatry Department, Sapienza University of Rome, Rome, Italy.
Eur J Neurosci. 2018 Jan;47(2):158-163. doi: 10.1111/ejn.13797. Epub 2018 Jan 11.
Brain connectivity has been employed to investigate on post-stroke recovery mechanisms and assess the effect of specific rehabilitation interventions. Changes in interhemispheric coupling after stroke have been related to the extent of damage in the corticospinal tract (CST) and thus, to motor impairment. In this study, we aimed at defining an index of interhemispheric connectivity derived from electroencephalography (EEG), correlated with CST integrity and clinical impairment. Thirty sub-acute stroke patients underwent clinical and neurophysiological evaluation: CST integrity was assessed by Transcranial Magnetic Stimulation and high-density EEG was recorded at rest. Connectivity was assessed by means of Partial Directed Coherence and the normalized Inter-Hemispheric Strength (nIHS) was calculated for each patient and frequency band on the whole network and in three sub-networks relative to the frontal, central (sensorimotor) and occipital areas. Interhemipheric coupling as expressed by nIHS on the whole network was significantly higher in patients with preserved CST integrity in beta and gamma bands. The same index estimated for the three sub-networks showed significant differences only in the sensorimotor area in lower beta, with higher values in patients with preserved CST integrity. The sensorimotor lower beta nIHS showed a significant positive correlation with clinical impairment. We propose an EEG-based connectivity index which is a measure of the interhemispheric cross-talking and correlates with functional motor impairment in subacute stroke patients. Such index could be employed to evaluate the effects of training aimed at re-establishing interhemispheric balance and eventually drive the design of future connectivity-driven rehabilitation interventions.
脑连接已被用于研究中风后的恢复机制,并评估特定康复干预措施的效果。中风后大脑两半球间的耦合变化与皮质脊髓束(CST)的损伤程度有关,从而与运动功能障碍有关。在这项研究中,我们旨在定义一个源自脑电图(EEG)的半球间连接指数,该指数与 CST 完整性和临床损伤相关。30 名亚急性中风患者接受了临床和神经生理学评估:CST 完整性通过经颅磁刺激评估,在静息状态下记录高密度脑电图。通过部分定向相干性评估连接性,并为每个患者计算整个网络和三个与额区、中央(感觉运动)和枕区相关的子网的归一化半球间强度(nIHS)。在整个网络中,nIHS 表示的半球间耦合β和γ频段中 CST 完整性保留的患者明显较高。在三个子网中估计的相同指数仅在较低的β频段中在感觉运动区域中存在显著差异,CST 完整性保留的患者具有较高的数值。感觉运动的较低βnIHS 与临床损伤呈显著正相关。我们提出了一种基于 EEG 的连接性指数,它是半球间交叉谈话的度量标准,与亚急性中风患者的功能性运动障碍相关。该指数可用于评估旨在重新建立半球间平衡的训练效果,并最终推动未来基于连接性的康复干预措施的设计。