脑电图定量分析与脑卒中后患者的康复预后:病变侧位的影响

IF 2.7 4区 医学 Q2 CLINICAL NEUROLOGY
Piergiuseppe Liuzzi , Antonello Grippo , Alessandro Sodero , Chiara Castagnoli , Ilaria Pellegrini , Rachele Burali , Tanita Toci , Teresa Barretta , Andrea Mannini , Bahia Hakiki , Claudio Macchi , Francesco Lolli , Francesca Cecchi
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引用次数: 0

摘要

目的定量脑电图(qEEG)有可能为临床决策提供信息并指导卒中后的个体化康复,但要将其应用于临床实践,还需要就最佳脑电图生物标志物达成共识。本研究调查了左/右半球脑卒中患者的空间 qEEG 频谱和对称性分布,以评估其在急性期后康复结果中的特异性预后力。方法在入院强化住院康复治疗时(脑卒中后 30 天内)和脑卒中后 6 个月收集了 19 通道脑电图记录和临床信息。经过预处理后,提取了频谱(Δ-α比值,DAR)和对称性(成对和半球脑对称指数)特征。根据患者的病变位置,将其分为右侧受影响组和左侧受影响组(AR/AL)。在每组中,比较同源电极对之间的 DAR,并比较头皮上各电极对之间的成对差异。然后,通过对入院指标和出院 mBI 值进行相关性分析,评估 qEEG 入院指标的预后能力。结果研究纳入了 52 名出血性或缺血性脑卒中患者(20 名女性,38.5%,中位年龄 76 岁 [IQR = 22])。AR组和AL组患侧大脑半球的DAR均明显增高,并且发现额叶(与后部)不对称程度较高,与病变侧无关。讨论虽然脑卒中患侧半球出现脑电图异常已被广泛认可,但我们已证明脑电图异常的程度与脑卒中后 6 个月的残疾程度相关,但仅适用于左半球病变。除运动和功能量表外,常规预后评估可增加神经诊断信息,并揭示康复过程中需要评估的神经生理异常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative EEG and prognosis for recovery in post-stroke patients: The effect of lesion laterality

Objective

There is emerging confidence that quantitative EEG (qEEG) has the potential to inform clinical decision-making and guide individualized rehabilitation after stroke, but consensus on the best EEG biomarkers is needed for translation to clinical practice. This study investigates the spatial qEEG spectral and symmetry distribution in patients with a left/right hemispheric stroke, to evaluate their side-specific prognostic power in post-acute rehabilitation outcome.

Methods

Resting-state 19-channel EEG recordings were collected with clinical information on admission to intensive inpatient rehabilitation (within 30 days post stroke), and six months post stroke. After preprocessing, spectral (Delta-to-Alpha Ratio, DAR) and symmetry (pairwise and hemispheric Brain Symmetry Index) features were extracted. Patients were divided into Affected Right and Left (AR/AL) groups, according to the location of their lesion. Within each group, DAR was compared between homologous electrode pairs and the pairwise difference between pairs was compared across pairs in the scalp. Then, the prognostic power of qEEG admission metrics was evaluated by performing correlations between admission metrics and discharge mBI values.

Results

Fifty-two patients with hemorrhagic or ischemic stroke (20 females, 38.5 %, median age 76 years [IQR = 22]) were included in the study. DAR was significantly higher in the affected hemisphere for both AR and AL groups, and, a higher frontal (to posterior) asymmetry was found independent of the side of the lesion. DAR was found to be a prognostic marker of 6-months modified Barthel Index (mBI) only for the AL group, while hemispheric asymmetry did not correlate with follow-up outcomes in either group.

Discussion

While the presence of EEG abnormalities in the affected hemisphere of a stroke is well recognized, we have shown that the extent of DAR abnormalities seen correlates with disability at 6 months post stroke, but only for left hemispheric lesions. Routine prognostic evaluation, in addition to motor and functional scales, can add information concerning neuro-prognostication and reveal neurophysiological abnormalities to be assessed during rehabilitation.

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来源期刊
CiteScore
5.20
自引率
3.30%
发文量
55
审稿时长
60 days
期刊介绍: Neurophysiologie Clinique / Clinical Neurophysiology (NCCN) is the official organ of the French Society of Clinical Neurophysiology (SNCLF). This journal is published 6 times a year, and is aimed at an international readership, with articles written in English. These can take the form of original research papers, comprehensive review articles, viewpoints, short communications, technical notes, editorials or letters to the Editor. The theme is the neurophysiological investigation of central or peripheral nervous system or muscle in healthy humans or patients. The journal focuses on key areas of clinical neurophysiology: electro- or magneto-encephalography, evoked potentials of all modalities, electroneuromyography, sleep, pain, posture, balance, motor control, autonomic nervous system, cognition, invasive and non-invasive neuromodulation, signal processing, bio-engineering, functional imaging.
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