收稿日期: 2023-03-02
网络出版日期: 2023-09-27
基金资助
云南省科技厅基础研究专项(202001AS070028);云南省科技厅科技计划项目(202301AY070001-214);云南省吕维加专家工作站(202005AF150038);昆明理工大学医学联合专项(KUST-KH2022054J)
Application of brain⁃computer interface in the rehabilitation of spinal cord injury
Received date: 2023-03-02
Online published: 2023-09-27
王锋 , 李靖龙 , 毛宇翔 . 脑机接口在脊髓损伤康复中的应用[J]. 实用医学杂志, 2023 , 39(17) : 2285 -2288 . DOI: 10.3969/j.issn.1006-5725.2023.17.024
Spinal cord injury can lead to severe sensory and motor dysfunction of limbs below the injury plane， which seriously affects the quality of life of patients. At present， the rehabilitation treatment methods for spinal cord injury are limited and the curative effect is not good. In order to seek a better treatment plan， some studies have tried to apply brain?computer interface technology to the rehabilitation treatment of spinal cord injury and made certain progress. A review published in 2020 provides a systematic overview of the field， but less on the latest theories， techniques， and materials. On this basis， this paper adds an overview of the latest research progress of BCI technology， in order to let readers know the latest research trends in this field. In addition， the clinical application and challenges of this technology are briefly described， and a new prospect for the research and development of this field is further proposed to provide some reference and theoretical support for subsequent research.
Key words： brain computer interfaces; spinal cord injury; recure
| 1 | GOLESTANI A， SHOBEIRI P， SADEGHI-NAINI M， et al. Epidemiology of Traumatic Spinal Cord Injury in Developing Countries from 2009 to 2020： A Systematic Review and Meta-Analysis［J］. Neuroepidemiology， 2022，56（4）：219-239. |
| 2 | 汤艳， 徐军， 洪永锋. 脑机接口训练用于脊髓损伤患者下肢运动功能改善的效果［J］. 实用医学杂志， 2022，38（21）：2709-2714. |
| 3 | 王锋， 李靖龙. 下肢外骨骼机器人在脊髓损伤中的应用研究进展［J］. 实用医学杂志， 2022，38（23）：3012-3016. |
| 4 | LIU J Y， LI Y J， CONG X Y， et al. Association between brain N-acetylaspartate levels and sensory and motor dysfunction in patients who have spinal cord injury with spasticity： an observational case-control study［J］. Neural Regen Res， 2023，18（3）：582-586. |
| 5 | FELIX E R， CARDENAS D D， BRYCE T N， et al. Prevalence and Impact of Neuropathic and Nonneuropathic Pain in Chronic Spinal Cord Injury［J］. Arch Phys Med Rehabil， 2022，103（4）：729-737. |
| 6 | HARMISON L E， BECKHAM J W， ADELMAN D S. Autonomic dysreflexia in patients with spinal cord injury［J］. Nursing， 2023，53（1）：21-26. |
| 7 | BUDD M A， GATER D J， CHANNELL I. Psychosocial Consequences of Spinal Cord Injury： A Narrative Review［J］. J Pers Med， 2022，12（7）：1178. |
| 8 | HELED E， TAL K， ZEILIG G. Does lack of brain injury mean lack of cognitive impairment in traumatic spinal cord injury？［J］. J Spinal Cord Med， 2022，45（3）：373-380. |
| 9 | LAL R， NONICA L， KIRAN B， et al. Bone mineral density in patients with chronic spinal cord injury： An observational study［J］. Asian J Med Sci， 2023，14（2）：178-182. |
| 10 | 龚瑜，蔺俊斌，郝赤子，等. 脑机接口在背髓损伤康复中的应用进展［J］. 中国康复医学杂志， 2020，35（6）：744-748. |
| 11 | DAVIS K C， MESCHEDE K B， CAJIGAS I， et al. Design-development of an at-home modular brain-computer interface （BCI） platform in a case study of cervical spinal cord injury［J］. J Neuroeng Rehabil， 2022，19（1）：53. |
| 12 | MUSK E. An Integrated Brain-Machine Interface Platform With Thousands of Channels［J］. J Med Internet Res， 2019，21（10）：e16194. |
| 13 | WANG Y， YANG X， ZHANG X， et al. Implantable intracortical microelectrodes： reviewing the present with a focus on the future［J］. Microsyst Nanoeng， 2023，DOI：10.1038/S41378-022-00451-6 . |
| 14 | GUO Z， WANG F， WANG L， et al. A flexible neural implant with ultrathin substrate for low-invasive brain-computer interface applications［J］. Microsyst Nanoeng， 2022，8：133. |
| 15 | RAJAN R， GARG K， SAINI A， et al. GPi-DBS for KMT2B-Associated Dystonia： Systematic Review and Meta-Analysis［J］. Mov Disord Clin Pract， 2022，9（1）：31-37. |
| 16 | SCANGOS K W， KHAMBHATI A N， DALY P M， et al. Closed-loop neuromodulation in an individual with treatment-resistant depression［J］. Nat Med， 2021，27（10）：1696-1700. |
| 17 | ROOIJ S J H， SIPPEL L M， MCDONALD W M， et al. Defining focal brain stimulation targets for PTSD using neuroimaging［J］. Depress Anxiety， 2021，38（7）：768-785. |
| 18 | MITCHELL P， LEE S， YOO P E， et al. Assessment of Safety of a Fully Implanted Endovascular Brain-Computer Interface for Severe Paralysis in 4 Patients： The Stentrode With Thought-Controlled Digital Switch （SWITCH） Study［J］. JAMA Neurol， 2023，DOI：10.1001/JAMANEUROL.2022.4847 . |
| 19 | WENCHANG Z， FUCHUN S， HANG W， et al. Asynchronous Brain-Computer Interface Shared Control of Robotic Grasping［J］. Tsinghua Sci Technol， 2019，24（3）：360-370. |
| 20 | GUERMANDI M， COSSETTINI A， BENATTI S， et al. A Wireless System for EEG Acquisition and Processing in an Earbud Form Factor with 600 Hours Battery Lifetime［J］. Annu Int Conf IEEE Eng Med Biol Soc， 2022：3139-3145. |
| 21 | HSIEH J C， ALAWIEH H， LI Y， et al. A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface［J］. Biosens Bioelectron， 2022，DOI： 10.1016/j.bios. 2022.114756 . |
| 22 | FENG J， LI Y， JIANG C， et al. Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning［J］. Front Hum Neurosci， 2022，16：1068165. |
| 23 | 宋昊， 徐颂， 刘国明， 等. 基于独立成分分析的非侵入式脑-机接口眼电伪迹自动去除算法［J］. 生物医学工程学杂志， 2022，39（6）：1074-1081. |
| 24 | WEN S， YIN A， FURLANELLO T， et al. Rapid adaptation of brain-computer interfaces to new neuronal ensembles or participants via generative modelling［J］. Nat Biomed Eng， 2023，7（4）：546-558. |
| 25 | ZORAN N. Brain-computer interfaces for human gait restoration［J］. Control Theory Technol， 2021，19（4）：516-528. |
| 26 | BENABID A L， COSTECALDE T， ELISEYEV A， et al. An exoskeleton controlled by an epidural wireless brain-machine interface in a tetraplegic patient： a proof-of-concept demonstration［J］. Lancet Neurol， 2019，18（12）：1122. |
| 27 | SAMEJIMA S， KHORASANI A， RANGANATHAN V， et al. Brain-Computer-Spinal Interface Restores Upper Limb Function After Spinal Cord Injury［J］. IEEE Trans Neural Syst Rehabil Eng， 2021，29（1）：1233-1242. |
| 28 | JOVANOVIC L I， KAPADIA N， ZIVANOVIC V， et al. Brain-computer interface-triggered functional electrical stimulation therapy for rehabilitation of reaching and grasping after spinal cord injury： a feasibility study［J］. Spinal Cord Ser Cases， 2021，7（1）：24. |
| 29 | PANDARINATH C， BENSMAIA S J. The science and engineering behind sensitized brain-controlled bionic hands［J］. Physiol Rev， 2022，102（2）：551-604. |
| 30 | GANZER P D， COLACHIS S T， SCHWEMMER M A， et al. Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface［J］. Cell， 2020，181（4）：763-773. |
| 31 | FLESHER S N， DOWNEY J E， WEISS J M， et al. A brain-computer interface that evokes tactile sensations improves robotic arm control［J］. Science， 2021，372（6544）：831-836. |
| 32 | KAZIM S F， BOWERS C A， COLE C D， et al. Corticospinal Motor Circuit Plasticity After Spinal Cord Injury： Harnessing Neuroplasticity to Improve Functional Outcomes［J］. Mol Neurobiol， 2021，58（11）：5494-5516. |
| 33 | ATHANASIOU A， MITSOPOULOS K， PRAFTSIOTIS A， et al. Neurorehabilitation Through Synergistic Man-Machine Interfaces Promoting Dormant Neuroplasticity in Spinal Cord Injury： Protocol for a Nonrandomized Controlled Trial［J］. JMIR Res Protoc， 2022，11（9）：e41152. |
| 34 | FAIRCLOUGH S H， STAMP K， DOBBINS C， et al. Computer games as distraction from PAIN： Effects of hardware and difficulty on pain tolerance and subjective IMMERSION［J］. International Journal of Human-Computer Studies， 2020，DOI：10.1016/j.ijhcs.2020.102427 . |
| 35 | WANG R， ZHU J， ZHANG J， et al. Psychological assessments of a senile patient with tetraplegia who received brain-computer interface implantation： a case report［J］. Neurol Sci， 2022，43（2）：1427-1430. |
| 36 | MCGLYNN E， NABAEI V， REN E， et al. The Future of Neuroscience： Flexible and Wireless Implantable Neural Electronics［J］. Adv Sci （Weinh）， 2021，8（10）：2002693. |
| 37 | ANDREA B， SIMONE F， HIROSHI H， et al. An Introductory Tutorial on Brain-Computer Interfaces and Their Applications［J］. Electronics， 2021，10（5）：560. |
| 38 | BELWAFI K， GANNOUNI S， ABOALSAMH H. Embedded Brain Computer Interface： State-of-the-Art in Research［J］. Sensors （Basel）， 2021，21（13）：4293. |
/
| 〈 |
|
〉 |