Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness
BackgroundAdvances in neuroimaging have significantly enhanced our understanding of brain function, providing critical insights into the diagnosis and management of disorders of consciousness (DoC). Functional near-infrared spectroscopy (fNIRS), with its real-time, portable, and noninvasive imaging...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1524806/full |
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| author | Nan Wang Nan Wang Nan Wang Yifang He Sipeng Zhu Dongsheng Liu Xiaoke Chai Xiaoke Chai Qiheng He Tianqing Cao Jianghong He Jingqi Li Juanning Si Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Jizong Zhao Jizong Zhao |
| author_facet | Nan Wang Nan Wang Nan Wang Yifang He Sipeng Zhu Dongsheng Liu Xiaoke Chai Xiaoke Chai Qiheng He Tianqing Cao Jianghong He Jingqi Li Juanning Si Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Jizong Zhao Jizong Zhao |
| author_sort | Nan Wang |
| collection | DOAJ |
| description | BackgroundAdvances in neuroimaging have significantly enhanced our understanding of brain function, providing critical insights into the diagnosis and management of disorders of consciousness (DoC). Functional near-infrared spectroscopy (fNIRS), with its real-time, portable, and noninvasive imaging capabilities, has emerged as a promising tool for evaluating functional brain activity and nonrecovery potential in DoC patients. This review explores the current applications of fNIRS in DoC research, identifies its limitations, and proposes future directions to optimize its clinical utility.AimThis review examines the clinical application of fNIRS in monitoring DoC. Specifically, it investigates the potential value of combining fNIRS with brain-computer interfaces (BCIs) and closed-loop neuromodulation systems for patients with DoC, aiming to elucidate mechanisms that promote neurological recovery.MethodsA systematic analysis was conducted on 155 studies published between January 1993 and October 2024, retrieved from the Web of Science Core Collection database.ResultsAnalysis of 21 eligible studies on neurological diseases involving 262 DoC patients revealed significant findings. The prefrontal cortex was the most frequently targeted brain region. fNIRS has proven crucial in assessing brain functional connectivity and activation, facilitating the diagnosis of DoC. Furthermore, fNIRS plays a pivotal role in diagnosis and treatment through its application in neuromodulation techniques such as deep brain stimulation (DBS) and spinal cord stimulation (SCS).ConclusionAs a noninvasive, portable, and real-time neuroimaging tool, fNIRS holds significant promise for advancing the assessment and treatment of DoC. Despite limitations such as low spatial resolution and the need for standardized protocols, fNIRS has demonstrated its utility in evaluating residual brain activity, detecting covert consciousness, and monitoring therapeutic interventions. In addition to assessing consciousness levels, fNIRS offers unique advantages in tracking hemodynamic changes associated with neuroregulatory treatments, including DBS and SCS. By providing real-time feedback on cortical activation, fNIRS facilitates optimizing therapeutic strategies and supports individualized treatment planning. Continued research addressing its technical and methodological challenges will further establish fNIRS as an indispensable tool in the diagnosis, prognosis, and treatment monitoring of DoC patients. |
| format | Article |
| id | doaj-art-87983155e8924d028654c33af866b9dd |
| institution | Kabale University |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-87983155e8924d028654c33af866b9dd2025-02-03T05:11:55ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-02-011610.3389/fneur.2025.15248061524806Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousnessNan Wang0Nan Wang1Nan Wang2Yifang He3Sipeng Zhu4Dongsheng Liu5Xiaoke Chai6Xiaoke Chai7Qiheng He8Tianqing Cao9Jianghong He10Jingqi Li11Juanning Si12Yi Yang13Yi Yang14Yi Yang15Yi Yang16Yi Yang17Yi Yang18Yi Yang19Jizong Zhao20Jizong Zhao21Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaBrain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaHangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaBrain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Center for Neurological Disorders, Beijing, ChinaNational Research Center for Rehabilitation Technical Aids, Beijing, China0Chinese Institute for Brain Research, Beijing, China1Beijing Institute of Brain Disorders, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaBackgroundAdvances in neuroimaging have significantly enhanced our understanding of brain function, providing critical insights into the diagnosis and management of disorders of consciousness (DoC). Functional near-infrared spectroscopy (fNIRS), with its real-time, portable, and noninvasive imaging capabilities, has emerged as a promising tool for evaluating functional brain activity and nonrecovery potential in DoC patients. This review explores the current applications of fNIRS in DoC research, identifies its limitations, and proposes future directions to optimize its clinical utility.AimThis review examines the clinical application of fNIRS in monitoring DoC. Specifically, it investigates the potential value of combining fNIRS with brain-computer interfaces (BCIs) and closed-loop neuromodulation systems for patients with DoC, aiming to elucidate mechanisms that promote neurological recovery.MethodsA systematic analysis was conducted on 155 studies published between January 1993 and October 2024, retrieved from the Web of Science Core Collection database.ResultsAnalysis of 21 eligible studies on neurological diseases involving 262 DoC patients revealed significant findings. The prefrontal cortex was the most frequently targeted brain region. fNIRS has proven crucial in assessing brain functional connectivity and activation, facilitating the diagnosis of DoC. Furthermore, fNIRS plays a pivotal role in diagnosis and treatment through its application in neuromodulation techniques such as deep brain stimulation (DBS) and spinal cord stimulation (SCS).ConclusionAs a noninvasive, portable, and real-time neuroimaging tool, fNIRS holds significant promise for advancing the assessment and treatment of DoC. Despite limitations such as low spatial resolution and the need for standardized protocols, fNIRS has demonstrated its utility in evaluating residual brain activity, detecting covert consciousness, and monitoring therapeutic interventions. In addition to assessing consciousness levels, fNIRS offers unique advantages in tracking hemodynamic changes associated with neuroregulatory treatments, including DBS and SCS. By providing real-time feedback on cortical activation, fNIRS facilitates optimizing therapeutic strategies and supports individualized treatment planning. Continued research addressing its technical and methodological challenges will further establish fNIRS as an indispensable tool in the diagnosis, prognosis, and treatment monitoring of DoC patients.https://www.frontiersin.org/articles/10.3389/fneur.2025.1524806/fullfunctional near-infrared spectroscopydisorders of consciousnessneuromodulationbrain-computer interfacemonitoring and assessment |
| spellingShingle | Nan Wang Nan Wang Nan Wang Yifang He Sipeng Zhu Dongsheng Liu Xiaoke Chai Xiaoke Chai Qiheng He Tianqing Cao Jianghong He Jingqi Li Juanning Si Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Yi Yang Jizong Zhao Jizong Zhao Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness Frontiers in Neurology functional near-infrared spectroscopy disorders of consciousness neuromodulation brain-computer interface monitoring and assessment |
| title | Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness |
| title_full | Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness |
| title_fullStr | Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness |
| title_full_unstemmed | Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness |
| title_short | Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness |
| title_sort | functional near infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness |
| topic | functional near-infrared spectroscopy disorders of consciousness neuromodulation brain-computer interface monitoring and assessment |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1524806/full |
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