Detecting cognitive motor dissociation by functional near-infrared spectroscopy
BackgroundBehavioral assessment based on external manifestations of consciousness fails for patients with cognitive motor dissociation (CMD). Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging technique that can detect internal brain functional activities. However, the extent...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1532804/full |
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| author | Yan Wang Yan Wang Yan Wang Wentao Zeng Wentao Zeng Wentao Zeng Leyao Zou Leyao Zou Leyao Zou Qijun Wang Bingkai Ren Bingkai Ren Bingkai Ren Qi Xiong Yang Bai Yang Bai Yang Bai Zhen Feng Zhen Feng Zhen Feng |
| author_facet | Yan Wang Yan Wang Yan Wang Wentao Zeng Wentao Zeng Wentao Zeng Leyao Zou Leyao Zou Leyao Zou Qijun Wang Bingkai Ren Bingkai Ren Bingkai Ren Qi Xiong Yang Bai Yang Bai Yang Bai Zhen Feng Zhen Feng Zhen Feng |
| author_sort | Yan Wang |
| collection | DOAJ |
| description | BackgroundBehavioral assessment based on external manifestations of consciousness fails for patients with cognitive motor dissociation (CMD). Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging technique that can detect internal brain functional activities. However, the extent to which fNIRS can help identify CMD patients among those with disorders of consciousness (DOC) remains unclear.ObjectiveTo identify CMD patients among DOC patients using fNIRS with a command-driven hand-open-close motor imagery task.MethodsfNIRS was used to measure the hemodynamic responses of 70 prolonged DOC patients, including 30 with vegetative state/unresponsive wakefulness syndrome (VS/UWS), 20 with minimally conscious state minus (MCS–), and 20 with minimally conscious state plus (MCS+), during a command-driven hand-open-close motor imagery task. Seven features of hemodynamic responses were extracted during the task and the rest conditions. The support vector machine combined with genetic algorithm was employed to classify and predict the brain's response to spoken commands and to identify CMD patients among prolonged DOC individuals.ResultsWe identified seven CMD patients using fNIRS, of whom four were in VS/UWS and three were in MCS–. Six months after fNIRS examination, the seven identified CMD patients were more likely to have a favorable outcome (3/4 vs. 1/31, P = 0.014, Fisher's exact test) compared with non-CMD patients.ConclusionsCMD patients can be identified through fNIRS combined with a command-driven motor imagery task, which will aid in the accurate diagnosis of DOC patients. |
| format | Article |
| id | doaj-art-cb218494dcc945eb912592df8a939e92 |
| institution | DOAJ |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-cb218494dcc945eb912592df8a939e922025-08-20T02:53:43ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-04-011610.3389/fneur.2025.15328041532804Detecting cognitive motor dissociation by functional near-infrared spectroscopyYan Wang0Yan Wang1Yan Wang2Wentao Zeng3Wentao Zeng4Wentao Zeng5Leyao Zou6Leyao Zou7Leyao Zou8Qijun Wang9Bingkai Ren10Bingkai Ren11Bingkai Ren12Qi Xiong13Yang Bai14Yang Bai15Yang Bai16Zhen Feng17Zhen Feng18Zhen Feng19Affiliated Rehabilitation Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, ChinaKey Laboratory of Jiangxi Provincial Health Commission for DOC Rehabilitation, Nanchang, Jiangxi, ChinaAffiliated Rehabilitation Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, ChinaKey Laboratory of Jiangxi Provincial Health Commission for DOC Rehabilitation, Nanchang, Jiangxi, ChinaAffiliated Rehabilitation Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, ChinaKey Laboratory of Jiangxi Provincial Health Commission for DOC Rehabilitation, Nanchang, Jiangxi, ChinaCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, ChinaAffiliated Rehabilitation Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, ChinaKey Laboratory of Jiangxi Provincial Health Commission for DOC Rehabilitation, Nanchang, Jiangxi, ChinaThe First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaAffiliated Rehabilitation Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, ChinaKey Laboratory of Jiangxi Provincial Health Commission for DOC Rehabilitation, Nanchang, Jiangxi, ChinaAffiliated Rehabilitation Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, ChinaKey Laboratory of Jiangxi Provincial Health Commission for DOC Rehabilitation, Nanchang, Jiangxi, ChinaBackgroundBehavioral assessment based on external manifestations of consciousness fails for patients with cognitive motor dissociation (CMD). Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging technique that can detect internal brain functional activities. However, the extent to which fNIRS can help identify CMD patients among those with disorders of consciousness (DOC) remains unclear.ObjectiveTo identify CMD patients among DOC patients using fNIRS with a command-driven hand-open-close motor imagery task.MethodsfNIRS was used to measure the hemodynamic responses of 70 prolonged DOC patients, including 30 with vegetative state/unresponsive wakefulness syndrome (VS/UWS), 20 with minimally conscious state minus (MCS–), and 20 with minimally conscious state plus (MCS+), during a command-driven hand-open-close motor imagery task. Seven features of hemodynamic responses were extracted during the task and the rest conditions. The support vector machine combined with genetic algorithm was employed to classify and predict the brain's response to spoken commands and to identify CMD patients among prolonged DOC individuals.ResultsWe identified seven CMD patients using fNIRS, of whom four were in VS/UWS and three were in MCS–. Six months after fNIRS examination, the seven identified CMD patients were more likely to have a favorable outcome (3/4 vs. 1/31, P = 0.014, Fisher's exact test) compared with non-CMD patients.ConclusionsCMD patients can be identified through fNIRS combined with a command-driven motor imagery task, which will aid in the accurate diagnosis of DOC patients.https://www.frontiersin.org/articles/10.3389/fneur.2025.1532804/fulldisorders of consciousnesscognitive motor dissociationfunctional near-infrared spectroscopymotor imagerysupport vector machine |
| spellingShingle | Yan Wang Yan Wang Yan Wang Wentao Zeng Wentao Zeng Wentao Zeng Leyao Zou Leyao Zou Leyao Zou Qijun Wang Bingkai Ren Bingkai Ren Bingkai Ren Qi Xiong Yang Bai Yang Bai Yang Bai Zhen Feng Zhen Feng Zhen Feng Detecting cognitive motor dissociation by functional near-infrared spectroscopy Frontiers in Neurology disorders of consciousness cognitive motor dissociation functional near-infrared spectroscopy motor imagery support vector machine |
| title | Detecting cognitive motor dissociation by functional near-infrared spectroscopy |
| title_full | Detecting cognitive motor dissociation by functional near-infrared spectroscopy |
| title_fullStr | Detecting cognitive motor dissociation by functional near-infrared spectroscopy |
| title_full_unstemmed | Detecting cognitive motor dissociation by functional near-infrared spectroscopy |
| title_short | Detecting cognitive motor dissociation by functional near-infrared spectroscopy |
| title_sort | detecting cognitive motor dissociation by functional near infrared spectroscopy |
| topic | disorders of consciousness cognitive motor dissociation functional near-infrared spectroscopy motor imagery support vector machine |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1532804/full |
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