首页|脑电图技术在神经康复评估与治疗中的应用和展望

脑电图技术在神经康复评估与治疗中的应用和展望

扫码查看
随着脑卒中和精神疾病等脑部疾病的日益高发,神经系统疾病的康复治疗受到广泛关注.脑电图(EEG)技术虽然在时间分辨率上表现出色,但历来因空间分辨率不足而在应用上受限,其主要用于术前评估、术中监测和癫痫检测等领域.然而,随着64导联以上的高密度EEG技术的日益普及、新分析技术的应用以及多模态技术的融合,EEG技术正在突破其传统限制,逐步扩大其临床应用范围.这些进步不仅巩固了 EEG技术在神经康复评估中不可替代的地位,还通过与经颅磁刺激、经颅电刺激和脑机接口等技术的联合应用进一步拓展了其在治疗方面的潜力.本文旨在评述EEG技术在神经康复评估与治疗中的应用、进展及未来展望.科技进步和跨学科合作的加深将推动EEG技术在神经康复领域的新应用和技术创新,为患者提供更精确和个性化的康复策略.
Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment
With the high incidence of neurological diseases such as stroke and mental illness,rehabilitation treatments for neurological disorders have received widespread attention.Electroencephalography(EEG)technology,despite its excellent temporal resolution,has historically been limited in application due to its insufficient spatial resolution,and is mainly confined to preoperative assessment,intraoperative monitoring,and epilepsy detection.However,traditional constraints of EEG technology are being overcome with the popularization of EEG technology with high-density over 64-lead,the application of innovative analysis techniques and the integration of multimodal techniques,which are significantly broadening its applications in clinical settings.These advancements have not only reinforced the irreplaceable role of EEG technology in neurorehabilitation assessment,but also expanded its therapeutic potential through its combined use with technologies such as transcranial magnetic stimulation,transcranial electrical stimulation and brain-computer interfaces.This article reviewed the applications,advancements,and future prospects of EEG technology in neurorehabilitation assessment and treatment.Advancements in technology and interdisciplinary collaboration are expected to drive new applications and innovations in EEG technology within the neurorehabilitation field,providing patients with more precise and personalized rehabilitation strategies.

ElectroencephalographyNeurorehabilitationMultimodal IntegrationAssessmentTreatment

贺威忠、王登宇、孟强帆、何峰、许敏鹏、明东

展开 >

天津大学医学工程与转化医学研究院(天津 300072)

清华大学医学院(北京 100084)

天津市脑科学与神经工程重点实验室(天津 300072)

脑电图 神经康复 多模态融合 评估 治疗

2024

生物医学工程学杂志
四川大学华西医院 四川省生物医学工程学会

生物医学工程学杂志

CSTPCD北大核心
影响因子:0.432
ISSN:1001-5515
年,卷(期):2024.41(6)