定量脑电图用于慢性缺血性卒中患者康复状态评估

doi:10.3969/j.issn.0258-8021.2022.05.004

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1296 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Rehabilitation assessment can help clinicians to understand patients rehabilitation situation, formulate a reasonable rehabilitation training plan, and improve the efficiency of rehabilitation treatment. However, the traditional rehabilitation evaluation methods cannot timely reflect and dynamically evaluate the rehabilitation situation, which would reduce the efficiency of the rehabilitation treatment of stroke patients. In order to solve the above problems, quantitative electroencephalogram (qEEG), an objective rehabilitation evaluation method, was introduced in this study, which has the advantages of convenient collection and rapid feedback, and can quickly reflect the rehabilitation situation of stroke patients and make up for the shortcomings of traditional rehabilitation assessment methods. In this study, 28 patients with chronic ischemic stroke were enrolled. The EEG data of the patients were collected and thepower ratio index, Brain symmetry index andphase synchrony index were calculated, and Spelman correlation coefficient was used to analyze the correlation between the above-mentioned qEEG and the modified barthel index and the upper extremity motor section of the Fugl-Meyer motor assessment (FMA). The results showed that there was a significant positive correlation between the modified barthel index and the IH-PSI in the β band of the global channel (ρ=0.70 P=0.000 2). The correlation between the modified barthel index and the IH-PSI in the β band of the global channel was the strongest compared with the other qEEG, the correlation coefficient was ρ = 0.70, and P=0.000 2<0.01, which was statistically significant. The correlation between the upper extremity motor section of the FMA and the C3FC3C4FC4-PSI in the β band using four channels of C3, C4, FC3, FC4 was the strongest compared with the other qEEG, the correlation coefficient was ρ=0.71, and P=0.000 09<0.01, which was statistically significant. In summary, the use of the IH-PSI in the β band of the global channel combined with the modified barthel index, the use of the C3FC3C4FC4-PSI in the β band using four channels of C3, C4, FC3, FC4 combined with the upper extremity motor section of the FMA was expected to achieve dynamic assessment of patients with chronic ischemic stroke, and improved the efficiency of rehabilitation treatment for stroke patients.

Key words： quantitative electroencephalogram chronic ischemic stroke rehabilitation evaluation

Received: 26 October 2021

PACS:

R318

Corresponding Authors: * E-mail: cagor@tju.edu.cn

About author:: ^#Member, Chinese Society of Biomedical Engineering

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2022.05.004 OR http://cjbme.csbme.org/EN/Y2022/V41/I5/547

[1] Report on Stroke P, Treatment in China Writing G. Brief report on stroke prevention and treatment in China,2019[J]. Chinese Journal of Cerebrovascular Diseases, 2020, 17(5): 272-280.
[2] Langhorne P, Coupar F, Pollock A. Motor recovery after stroke: a systematic review[J]. Lancet Neurology, 2009, 8(8): 741-754.
[3] Hatem S M, Saussez G, Della Faille M, et al. Rehabilitation of motor function after stroke: a multiple systematic review focused on techniques to stimulate upper extremity recovery[J]. Frontiers in Human Neuroscience, 2016, 10: 442-464.
[4] Boyd LA, Hayward KS, Ward NS, et al. Biomarkers of stroke recovery: Consensus-based core recommendations from the stroke recovery and rehabilitation roundtable[J]. International Journal of Stroke, 2017, 12(5): 480-493.
[5] Cassidy JM, Cramer SC. Spontaneous and Therapeutic-induced mechanisms of functional recovery after stroke[J]. Translational Stroke Research, 2017, 8(1): 33-46.
[6] Cramer Steven C. Repairing the human brain after stroke. II. Restorative therapies [J]. Annals of neurology, 2008, 63 (5): 549-560.
[7] Takeuchi N, Izumi SI. Rehabilitation with poststroke motor recovery: a review with a focus on neural plasticity[J]. Stroke Research and Treatment, 2013, 2013: 128641.
[8] 白敬,宋爱国,李会军,等.基于工作空间测量的居家脑卒中患者上肢康复训练评估系统[J].仪器仪表学报, 2018, 39(4):74-81.
[9] 吴毅. 脑卒中康复的精准评定[J].康复学报, 2016, 26(5): 1-7.
[10] 恽晓平. 脑卒中的康复评定--临床常用量表回顾[J].继续医学教育, 2006, 2006(30): 1-3.
[11] 王勤鹰, 詹青. 电生理技术应用于卒中康复评估的临床价值[J].神经病学与神经康复学杂志, 2016, 12(3): 161-167.
[12] 赵经纬, 张运周, 宿英英. 定量脑电图与脑卒中[J].中华老年心脑血管病杂志, 2012, 14(7): 774-777.
[13] Friedman D. Quantitative EEG and cerebral ischemia[J]. Clinical Neurophysiology, 2010, 121(10): 81-81.
[14] Cozac V V, Gschwandtner U, Hatz F, et al. Quantitative EEG and Cognitive Decline in Parkinson′s Disease[J]. Parkinsons Disease, 2016, 2016: 1-14.
[15] Kopruner V, Pfurtscheller G, Auer LM. Quantitative EEG in normals and in patients with cerebral ischemia[J]. Progress in Brain Research, 1984, 62: 29-50.
[16] Finnigan SP, Rose SE, Walsh M, et al. Correlation of quantitative EEG in acute ischemic stroke with 30-day NIHSS score: comparison with diffusion and perfusion MRI[J]. Stroke: Journal of the American Heart Association, 2004, 35(4): 899-903.
[17] Simon F, Andrew W, Stephen R. Defining abnormal slow EEG activity in acute ischaemic stroke: delta/alpha ratio as an optimal QEEG index[J]. Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology, 2016, 127(2): 1452-1459.
[18] Ravikiran M, Effie C, Soon PK, et al. Prognostic and Monitory EEG-biomarkers for BCI upper-limb stroke rehabilitation[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(8): 1654-1664.
[19] Trujillo P, Mastropietro A, Scano A, et al. Quantitative EEG for predicting upper limb motor recovery in chronic stroke robot-assisted rehabilitation[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(7): 1058-1067.
[20] Michel JAM van Putten. The revised brain symmetry index. [J]. Clinical Neurophysiology, 2007, 118 (11): 2362-2367.
[21] Sheorajpanday RVA, Nagels G, Weeren AJTM, et al. Reproducibility and clinical relevance of quantitative EEG parameters in cerebral ischemia: a basic approach[J]. Clinical Neurophysiology, 2009, 120(5): 845-855.
[22] van Putten Michel JAM, Tavy Dénes LJ. Continuous quantitative EEG monitoring in hemispheric stroke patients using the brain symmetry index[J]. Stroke, 2004, 35(11): 2489-2492.
[23] Wu Wenqing, Sun Junfeng, Jin Zheng, et al. Impaired neuronal synchrony after focal ischemic stroke in elderly patients[J]. Clinical Neurophysiology, 2011, 122(1): 21-26.
[24] Kawano T, Hattori N, Uno Y, et al. Large-scale phase synchrony reflects clinical status after stroke: an EEG study[J]. Neurorehabilitation and Neural Repair, 2017, 31(6): 561-570.
[25] Kawano T, Hattori N, Uno Y, et al. Electroencephalographic phase synchrony index as a biomarker of poststroke motor impairment and recovery[J]. Neurorehabilitation and Neural Repair, 2020, 34(8): 711-722.
[26] Wang Fang, Zhan, Xueying, Hu Fengyun, et al. Using phase synchrony index for improved assessment of consciousness in ischemic stroke patients[J]. IEEE Access, 2019, 7: 30252-30260.
[27] Wang Fang, Zhan, Xueying, Hu Fengyun, et al. Quantitative electroencephalography analysis for improved assessment of consciousness in cerebral hemorrhage and ischemic stroke patients[J]. IEEE Access, 2019, 7: 63674-63685.
[28] Finnigan S, Van Putten, Michel JAM. EEG in ischaemic stroke: Quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management[J]. Clinical Neurophysiology, 2013, 124(1): 10-19.
[29] Livint Popa L, Dragos H, Pantelemon C, et al. The role of quantitative EEG in the diagnosis of neuropsychiatric disorders[J]. Journal of Medicine and Life, 2020, 13(1): 8-15.
[30] Aminov A, Rogers JM, Johnstone SJ, et al. Acute single channel EEG predictors of cognitive function after stroke[J]. PLoS ONE, 2017, 12(10): 0185841-0185856.
[31] Min Yu, Wu Yuanyuan, Yan Tiebin. Validity and reliability of the simplified Chinese version of modified Barthel index for Chinese stroke patients[J]. Chinese Journal of Physical Medicine and Rehabilitation, 2008, 30(3): 185-188.
[32] Fugl-Meyer AR, Jaasko L, Leyman I, et al. The post-stroke hemiplegic patient: a method for evaluation of physical performance[J]. Scandinavian Journal of Rehabilitation Medicine, 1975, 7(1): 13-31.
[33] Mizuhara H, Wang Liqun, Kobayashi K, et al. Long- range EEG phase synchronization during an arithmetic task indexes a coherent cortical network simultaneously measured by fMRI[J]. NeuroImage, 2005, 27(3): 553-563.
[34] Dubovik S, Pignat JM, Ptak R, et al. The behavioral significance of coherent resting- state oscillations after stroke[J]. NeuroImage, 2012, 61(1): 249-257.
[35] Guggisberg AG, Rizk S, Ptak R, et al. Two intrinsic coupling types for resting- state integration in the human brain[J]. Brain Topography, 2015, 28(2): 318-329.
[36] Engel AK, Gerloff C, Hilgetag CC, et al. Intrinsic coupling modes: multiscale interactions in ongoing brain activity[J]. Neuron, 2013, 80(4): 867-886.