DOI: 10.1515/mr-2024-0010
Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke
Xiaolong Sun1
Chunqiu Dai1
Xiangbo Wu1
Tao Han1
Qiaozhen Li1
Yixing Lu1
Xinyu Liu1
Hua Yuan2
1.Department of Rehabilitation Medicine,Xijing Hospital,Air Force Medical University(Fourth Military Medical University),Xi'an,Shaanxi,China2.Department of Rehabilitation Medicine,Xijing Hospital,Air Force Medical University(Fourth Military Medical University),Xi'an,Shaanxi 710032,China
摘要：Persistent motor deficits are highly prevalent among post-stroke survivors,contributing significantly to disability.Despite the prevalence of these deficits,the pre-cise mechanisms underlying motor recovery after stroke remain largely elusive.The exploration of motor system reorganization using functional neuroimaging techniques represents a compelling yet challenging avenue of research.Quantitative electroencephalography(qEEG)parameters,including the power ratio index,brain symmetry index,and phase synchrony index,have emerged as potential prognostic markers for overall motor recovery post-stroke.Current evi-dence suggests a correlation between qEEG parameters and functional motor outcomes in stroke recovery.However,accurately identifying the source activity poses a challenge,prompting the integration of EEG with other neuroimaging modalities,such as functional near-infrared spectroscopy(fNIRS).fNIRS is nowadays widely employed to investigate brain function,revealing disruptions in the functional motor network induced by stroke.Combining these two methods,referred to as integrated fNIRS-EEG,neural activity and hemodynamics signals can be pooled out and offer new types of neurovascular coupling-related features,which may be more accurate than the individual modality alone.By harnessing integrated fNIRS-EEG source localization,brain connectivity analysis could be applied to characterize cortical reorganization associated with stroke,providing valuable insights into the assessment and treatment of post-stroke motor recovery.
机标关键词：recoverycurrentstrokefnirsaftermotorfunctionalimplications
论文发表日期：2024-12-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
英文信息