《Chinese Journal of Rehabilitation Theory and Practice》 ›› 2023, Vol. 29 ›› Issue (2): 223-230.doi: 10.3969/j.issn.1006-9771.2023.02.011
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LIU Mingyue, FAN Yalei, ZHANG Meng, SONG Xueyi, LI Zhe2,3()
Received:
2022-08-12
Revised:
2023-01-06
Published:
2023-02-25
Online:
2023-03-16
Contact:
LI Zhe
E-mail:Lizhe.1974@163.com
Supported by:
CLC Number:
LIU Mingyue, FAN Yalei, ZHANG Meng, SONG Xueyi, LI Zhe. Brain-computer interface technology for stroke in the past decade: a visualized analysis[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2023, 29(2): 223-230.
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聚类号 | 聚类中包含的主要关键词 |
---|---|
#0 | motor recovery; functional connectivity; neural plasticity; motor impairment; noninvasive brain stimulation; cortex activity; feedback |
#1 | event-related desynchronization; electroencephalogram; selection; pattern; independent component analysis |
#2 | upper extremity; electrical stimulation; plasticity; gait rehabilitation; walking; mu rhythm |
#3 | mental practice; task analysis; reorganization; cortical potential; mechanism; movement intention |
#4 | motor imagery; transcranial magnetic stimulation; spremotor cortex; fMRI; self regulation |
#5 | neurofeedback; motor cortex; hand function; functional near-infrared spectroscopy |
#6 | modulation; functional electrical stimulation; induced movement therapy; neural plasticity; beta oscillation |
#7 | virtual reality; cognition; cortical control; functional recovery |
#8 | chronic stroke; reinforcement learning; motor cortex; moter evoked potentials |
#9 | quality of life; functional restoration; soft robotics |
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排名 | 第一作者 | 年份 | 题目 | 频次 | 中心性 |
---|---|---|---|---|---|
1 | Ramos-Murguialday A | 2013 | Brainmachine interface in chronic stroke rehabilitation: a controlled study | 124 | 0.09 |
2 | Biasiucci A | 2018 | Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke | 93 | 0.01 |
3 | Pichiorri F | 2015 | Brain-computer interface boosts motor imagery practice during stroke recovery | 88 | 0.04 |
4 | Cervera M A | 2018 | Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis | 82 | 0.02 |
5 | Ang K K | 2015 | A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke | 70 | 0.02 |
[1] |
WU S, WU B, LIU M, et al. Stroke in China: advances and challenges in epidemiology, prevention, and management[J]. Lancet Neurol, 2019, 18(4): 394-405.
doi: S1474-4422(18)30500-3 pmid: 30878104 |
[2] |
STINEAR C M, LANG C E, ZEILER S, et al. Advances and challenges in stroke rehabilitation[J]. Lancet Neurol, 2020, 19(4): 348-360.
doi: S1474-4422(19)30415-6 pmid: 32004440 |
[3] |
MCLEAN D E. Medical complications experienced by a cohort of stroke survivors during inpatient, tertiary-level stroke rehabilitation[J]. Arch Phys Med Rehabil, 2004, 85(2): 466-469.
doi: 10.1016/S0003-9993(03)00484-2 |
[4] | 陈树耿, 贾杰. 脑机接口在脑卒中手功能康复中的应用进展[J]. 中国康复理论与实践, 2017, 23(1): 23-26. |
CHEN S G, JIA J. Advances in the application of brain-computer interface in stroke hand function rehabilitation[J]. Chin J Rehabil Theory Pract, 2017, 23(1): 23-26. | |
[5] |
GAO X, WANG Y, CHEN X, et al. Interface, interaction, and intelligence in generalized brain computer interfaces[J]. Trends Cogn Sci, 2021, 25(8): 671-684.
doi: 10.1016/j.tics.2021.04.003 |
[6] |
BIASIUCCI A, LEEB R, ITURRATE I, et al. Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke[J]. Nat Commun, 2018, 9(1): 2421.
doi: 10.1038/s41467-018-04673-z pmid: 29925890 |
[7] |
LI X, MA E, QU H. Knowledge mapping of hospitality research: a visual analysis using CiteSpace[J]. Int J Hosp Manag, 2017, 60(7): 77-93.
doi: 10.1016/j.ijhm.2016.10.006 |
[8] |
XU A H, SUN Y X. Research hotspots and effectiveness of repetitive transcranial magnetic stimulation in stroke rehabilitation[J]. Neural Regen Res, 2020, 15(11): 2089-2097.
doi: 10.4103/1673-5374.282269 |
[9] | CHEN C. The structure and dynamics of cocitation clusters:a multiple-perspective cocitation analysis[J]. Wiley Inter Sci, 2009, 7(61): 1386-1409. |
[10] |
CHEN C. Searching for intellectual turning points: progressive knowledge domain visualization[J]. Proc Natl Acad Sci USA, 2004, 101(Suppl 1): 5303-5310.
doi: 10.1073/pnas.0307513100 |
[11] |
LIU Z, YIN Y, LIU W, et al. Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis[J]. Scientometrics, 2015, 103(1): 135-158.
doi: 10.1007/s11192-014-1517-y |
[12] |
POO M M, DU J L, IP N Y, et al. China brain project: basic neuroscience, brain diseases, and brain-inspired computing[J]. Neuron, 2016, 92(3): 591-596.
doi: 10.1016/j.neuron.2016.10.050 |
[13] |
BUCH E, WEBER C, COHEN L G, et al. Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke[J]. Stroke, 2008, 39(3): 910-917.
doi: 10.1161/STROKEAHA.107.505313 pmid: 18258825 |
[14] |
CHAUDHARY U, BIRBAUMER N, RAMOS-MURGUIALDAY A. Brain-computer interfaces for communication and rehabilitation[J]. Nat Rev Neurol, 2016, 12(9): 513-525.
doi: 10.1038/nrneurol.2016.113 pmid: 27539560 |
[15] |
CHAUDHARY U, BIRBAUMER N, CURADO M R. Brain-machine interface (BMI) in paralysis[J]. Ann Phys Rehabil Med, 2015, 58(1): 9-13.
doi: S1877-0657(14)01835-1 pmid: 25623294 |
[16] |
CHAUDHARY U, BIRBAUMER N, RAMOS-MURGUIALDAY A. Brain-computer interfaces in the completely locked-in state and chronic stroke[J]. Prog Brain Res, 2016, 228: 131-161.
doi: 10.1016/bs.pbr.2016.04.019 pmid: 27590968 |
[17] |
CHEN S, CAO L, SHU X, et al. Longitudinal electroencephalography analysis in subacute stroke patients during intervention of brain-computer interface with exoskeleton feedback[J]. Front Neurosci, 2020, 14: 809.
doi: 10.3389/fnins.2020.00809 |
[18] |
LI M, LIU Y, WU Y, et al. Neurophysiological substrates of stroke patients with motor imagery-based brain-computer interface training[J]. Int J Neurosci, 2014, 124(6): 403-415.
doi: 10.3109/00207454.2013.850082 pmid: 24079396 |
[19] |
CERVERA M A, SOEKADAR S R, USHIBA J, et al. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis[J]. Ann Clin Transl Neurol, 2018, 5(5): 651-663.
doi: 10.1002/acn3.2018.5.issue-5 |
[20] |
JOHNSON N N, CAREY J, EDELMAN B J, et al. Combined rTMS and virtual reality brain-computer interface training for motor recovery after stroke[J]. J Neural Eng, 2018, 15(1): 016009.
doi: 10.1088/1741-2552/aa8ce3 |
[21] |
DING Q, LIN T, WU M, et al. Influence of iTBS on the acute neuroplastic change after BCI training[J]. Front Cell Neurosci, 2021, 15: 653487.
doi: 10.3389/fncel.2021.653487 |
[22] |
SHU X, CHEN S, CHAI G, et al. Neural modulation by repetitive transcranial magnetic stimulation (rTMS) for BCI enhancement in stroke patients[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2018, 2018: 2272-2275.
doi: 10.1109/EMBC.2018.8512860 pmid: 30440859 |
[23] |
ANG K K, GUAN C, PHUA K S, et al. Facilitating effects of transcranial direct current stimulation on motor imagery brain-computer interface with robotic feedback for stroke rehabilitation[J]. Arch Phys Med Rehabil, 2015, 96(3 Suppl): S79-S87.
doi: 10.1016/j.apmr.2014.08.008 |
[24] |
IRIMIA D C, CHO W, ORTNER R, et al. Brain-computer interfaces with multi-sensory feedback for stroke rehabilitation: a case study[J]. Artif Organs, 2017, 41(11): E178-E184.
doi: 10.1111/aor.2017.41.issue-11 |
[25] |
RAMOS-MURGUIALDAY A, BROETZ D, REA M, et al. Brain-machine interface in chronic stroke rehabilitation: a controlled study[J]. Ann Neurol, 2013, 74(1): 100-108.
doi: 10.1002/ana.v74.1 |
[26] |
PICHIORRI F, MORONE G, PETTI M, et al. Brain-computer interface boosts motor imagery practice during stroke recovery[J]. Ann Neurol, 2015, 77(5): 851-865.
doi: 10.1002/ana.24390 pmid: 25712802 |
[27] |
ANG K K, CHUA K S G, PHUA K S, et al. A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke[J]. Clin EEG Neurosci, 2015, 46(4): 310-320.
doi: 10.1177/1550059414522229 pmid: 24756025 |
[28] |
RASHID M, SULAIMAN N, P P ABDUL MAJEED A, et al. Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review[J]. Front Neurorobot, 2020, 14: 25.
doi: 10.3389/fnbot.2020.00025 |
[29] |
MCCRIMMON C M, KING C E, WANG P T, et al. Brain-controlled functional electrical stimulation for lower-limb motor recovery in stroke survivors[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2014, 2014: 1247-1250.
doi: 10.1109/EMBC.2014.6943823 pmid: 25570191 |
[30] |
MCCRIMMON C M, KING C E, WANG P T, et al. Brain-controlled functional electrical stimulation therapy for gait rehabilitation after stroke: a safety study[J]. J Neuroeng Rehabil, 2015, 11(12): 57.
doi: 10.1186/1743-0003-11-57 |
[31] |
DO A H, WANG P T, KING C E, et al. Brain-computer interface controlled functional electrical stimulation device for foot drop due to stroke[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2012, 2012: 6414-6417.
doi: 10.1109/EMBC.2012.6347462 pmid: 23367397 |
[32] |
TAKAHASHI M, TAKEDA K, OTAKA Y, et al. Event related desynchronization-modulated functional electrical stimulation system for stroke rehabilitation: a feasibility study[J]. J Neuroeng Rehabil, 2012, 16(9): 56.
doi: 10.1186/s12984-019-0531-y |
[33] |
ROST N S, BRODTMANN A, PASE M P, et al. Post-stroke cognitive impairment and dementia[J]. Circ Res, 2022, 130(8): 1252-1271.
doi: 10.1161/CIRCRESAHA.122.319951 pmid: 35420911 |
[34] |
TOPPI J, MATTIA D, ANZOLIN A, et al. Time varying effective connectivity for describing brain network changes induced by a memory rehabilitation treatment[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2014, 2014: 6786-6789.
doi: 10.1109/EMBC.2014.6945186 pmid: 25571554 |
[35] | KOBER S E, SCHWEIGER D, WITTE M, et al. Specific effects of EEG based neurofeedback training on memory functions in post-stroke victims[J]. J Neuroeng Rehabil, 2015, 1(12): 107. |
[36] | CARELLI L, SOLCA F, FAINI A, et al. Brain-computer interface for clinical purposes: cognitive assessment and rehabilitation[J]. Biomed Res Int, 2017, 2017: 1695290. |
[37] |
MANE R, CHOUHAN T, GUAN C. BCI for stroke rehabilitation: motor and beyond[J]. J Neural Eng, 2020, 17(4): 041001.
doi: 10.1088/1741-2552/aba162 |
[38] | MANE R, WU Z, WANG D. Poststroke motor, cognitive and speech rehabilitation with brain-computer interface: a perspective review[J]. Stroke Vasc Neurol, 2022, 2022: 001506. |
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