Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness

被引:0
|
作者
Wang, Nan [1 ,2 ,3 ]
He, Yifang [4 ]
Zhu, Sipeng [1 ]
Liu, Dongsheng [5 ]
Chai, Xiaoke [1 ,6 ]
He, Qiheng [1 ]
Cao, Tianqing [1 ]
He, Jianghong [1 ]
Li, Jingqi [7 ]
Si, Juanning [4 ]
Yang, Yi [1 ,3 ,6 ,8 ,9 ,10 ,11 ]
Zhao, Jizong [1 ,3 ]
机构
[1] Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Neurosurg, Beijing, Peoples R China
[3] China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China
[4] Beijing Informat Sci & Technol Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing, Peoples R China
[5] Tianjin Med Univ, Clin Coll Neurol Neurosurg & Neurorehabil, Tianjin, Peoples R China
[6] Capital Med Univ, Beijing Tiantan Hosp, Brain Comp Interface Transit Res Ctr, Beijing, Peoples R China
[7] Hangzhou Mingzhou Brain Rehabil Hosp, Hangzhou, Peoples R China
[8] China Natl Ctr Neurol Disorders, Beijing, Peoples R China
[9] Natl Res Ctr Rehabil Tech Aids, Beijing, Peoples R China
[10] Chinese Inst Brain Res, Beijing, Peoples R China
[11] Beijing Inst Brain Disorders, Beijing, Peoples R China
来源
FRONTIERS IN NEUROLOGY | 2025年 / 16卷
基金
北京市自然科学基金;
关键词
functional near-infrared spectroscopy; disorders of consciousness; neuromodulation; brain-computer interface; monitoring and assessment; BRAIN ACTIVITY; FNIRS; STIMULATION; CONNECTIVITY; SYSTEMS; EEG; WAKEFULNESS; ASYMMETRY; STATE; BCI;
D O I
10.3389/fneur.2025.1524806
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background Advances 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.Aim This 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.Methods A systematic analysis was conducted on 155 studies published between January 1993 and October 2024, retrieved from the Web of Science Core Collection database.Results Analysis 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).Conclusion As 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.
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页数:20
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