Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke
Persistent motor deficits are highly prevalent among post-stroke survivors, contributing significantly to disability. Despite the prevalence of these deficits, the precise mechanisms underlying motor recovery after stroke remain largely elusive. The exploration of motor system reorganization using f...
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| Format: | Article |
| Language: | English |
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De Gruyter
2024-12-01
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| Series: | Medical Review |
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| Online Access: | https://doi.org/10.1515/mr-2024-0010 |
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| author | Sun Xiaolong Dai Chunqiu Wu Xiangbo Han Tao Li Qiaozhen Lu Yixing Liu Xinyu Yuan Hua |
| author_facet | Sun Xiaolong Dai Chunqiu Wu Xiangbo Han Tao Li Qiaozhen Lu Yixing Liu Xinyu Yuan Hua |
| author_sort | Sun Xiaolong |
| collection | DOAJ |
| description | Persistent motor deficits are highly prevalent among post-stroke survivors, contributing significantly to disability. Despite the prevalence of these deficits, the precise 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 evidence 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. |
| format | Article |
| id | doaj-art-8d22ff22f8f146aa89ca2d6df90c6ca7 |
| institution | OA Journals |
| issn | 2749-9642 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Medical Review |
| spelling | doaj-art-8d22ff22f8f146aa89ca2d6df90c6ca72025-08-20T02:38:22ZengDe GruyterMedical Review2749-96422024-12-014649250910.1515/mr-2024-0010Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after strokeSun Xiaolong0Dai Chunqiu1Wu Xiangbo2Han Tao3Li Qiaozhen4Lu Yixing5Liu Xinyu6Yuan Hua7Department of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaDepartment of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, Shaanxi, ChinaPersistent motor deficits are highly prevalent among post-stroke survivors, contributing significantly to disability. Despite the prevalence of these deficits, the precise 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 evidence 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.https://doi.org/10.1515/mr-2024-0010strokemotor functionfunctional near-infrared spectroscopyelectroencephalographyfunctional neuroimaging |
| spellingShingle | Sun Xiaolong Dai Chunqiu Wu Xiangbo Han Tao Li Qiaozhen Lu Yixing Liu Xinyu Yuan Hua Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke Medical Review stroke motor function functional near-infrared spectroscopy electroencephalography functional neuroimaging |
| title | Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke |
| title_full | Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke |
| title_fullStr | Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke |
| title_full_unstemmed | Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke |
| title_short | Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke |
| title_sort | current implications of eeg and fnirs as functional neuroimaging techniques for motor recovery after stroke |
| topic | stroke motor function functional near-infrared spectroscopy electroencephalography functional neuroimaging |
| url | https://doi.org/10.1515/mr-2024-0010 |
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