Abstract Motor-related cortical potential is an event-related potential, which can reflect the pre-exercise planning, preparation, and early exercise execution process. It has attracted much attention in recent years. Based on the 498 literatures with research theme "motor-related cortical potential" collected in the core collection of the web of science from 2000 to now, the city space V visualization technology was used to draw maps and analyze related problems. The analysis showed that the research hotspots mainly focued on motor-related potential, motor cortex, EEG, motor, and so on. The research and development of motor-related cortical potential could be divided into three stages according to time. The first stage mainly focused on the research of frontal lobe, evoked potential, and swallowing evoked motor-related cortical potential. The second stage was mainly focused on the brain-computer interface, motor imagination, motor detection potential, and Parkinson's syndrome. In the third stage, the research trend was gradually developing towards rehabilitation research, mainly focusing on EEG, attention and grip analysis. The analysis of the research hotspots and development process of motor-related cortical potential provided a reference for theoretical and applied research in the fields of physical training and sports rehabilitation.
Dai Wenhao,Chen Jie,Xie Ping, et al. Knowledge Mapping Analysis of Motor Related Cortical Potentials[J]. Chinese Journal of Biomedical Engineering, 2022, 41(3): 360-369.
[1] Oda S, Moritani T. Cross-correlation studies of movement-related cortical potentials during unilateral and bilateral muscle contractions in humans [J]. European Journal of Applied Physiology and Occupational Physiology, 1996, 74(1): 29-35. [2] Ahmadian P, Cagnoni S, Ascari L. How capable is non-invasive EEG data of predicting the next movement? A mini review [J]. Frontiers in Human Neuroscience, 2013, 7: 124. [3] do Nascimento OF, Nielsen KD, Voigt M. Relationship between plantar-flexor torque generation and the magnitude of the movement-related potentials [J]. Experimental Brain Research, 2005, 160(2): 154-165. [4] Slobounov SM, Ray WJ. Movement-related potentials with reference to isometric force output in discrete and repetitive tasks [J]. Experimental Brain Research, 1998, 123(4): 461-473. [5] 石岩, 霍炫伊. 体育运动风险研究的知识图谱分析 [J]. 体育科学, 2017, 37(2): 76-86. [6] 邱均平, 温芳芳. 近五年来图书情报学研究热点与前沿的可视化分析——基于13种高影响力外文源刊的计量研究 [J]. 中国图书馆学报, 2011, 37(2): 51-60. [7] 殷鼎, 史兵. 英文期刊中马拉松研究的知识图谱分析 [J]. 中国体育科技, 2018, 54(3): 105-115. [8] Donati ARC, Shokur S, Morya E, et al. Long-term training with a brain-machine interface-based gait protocol induces partial neurological recovery in paraplegic patients [J]. Scientific Reports, 2016, 6(1): 1-16. [9] Aliakbaryhosseinabadi S, Kamavuako EN, Jiang N, et al. Influence of dual-tasking with different levels of attention diversion on characteristics of the movement-related cortical potential [J]. Brain Research, 2017, 1674: 10-19. [10] Knaepen K, Mierau A, Tellez HF, et al. Temporal and spatial organization of gait-related electrocortical potentials [J]. Neuroscience Letters, 2015, 599: 75-80. [11] Suntrup S, Teismann I, Wollbrink A, et al. Magnetoencephalographic evidence for the modulation of cortical swallowing processing by transcranial direct current stimulation [J]. Neuroimage, 2013, 83: 346-354. [12] Jochumsen M, Niazi IK, Mrachacz-Kersting N, et al. Detection and classification of movement-related cortical potentials associated with task force and speed [J]. Journal of Neural Engineering, 2013, 10(5): 056015. [13] Flint RD, Ethier C, Oby ER, et al. Local field potentials allow accurate decoding of muscle activity [J]. Journal of Neurophysiology, 2012, 108(1): 18-24. [14] Markowitz DA, Wong YT, Gray CM, et al. Optimizing the decoding of movement goals from local field potentials in macaque cortex [J]. Journal of Neuroscience, 2011, 31(50): 18412-18422. [15] 朱晓宇, 刘则渊. 国际氢能研究的文献计量学分析 [J]. 情报杂志, 2011, 30(6): 65-69. [16] Toma K, Matsuoka T, Immisch I, et al. Generators of movement-related cortical potentials: fMRI-constrained EEG dipole source analysis [J]. Neuroimage, 2002, 17(1): 161-173. [17] Hiraoka K. Movement-related cortical potentials associated with saliva and water bolus swallowing [J]. Dysphagia, 2004, 19(3): 155-159. [18] Babiloni F, Cincotti F, Babiloni C, et al. Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function [J]. Neuroimage, 2005, 24(1): 118-131. [19] Slobounov S, Hallett M, Newell KM. Perceived effort in force production as reflected in motor-related cortical potentials [J]. Clinical Neurophysiology, 2004, 115(10): 2391-2402. [20] Schalk G, Kubanek J, Miller KJ, et al. Decoding two-dimensional movement trajectories using electrocorticographic signals in humans [J]. Journal of Neural Engineering, 2007, 4(3): 264. [21] Farina D, Do Nascimento OF, Lucas MF, et al. Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters [J]. Journal of Neuroscience Methods, 2007, 162(1-2): 357-363. [22] Litvak V, Eusebio A, Jha A, et al. Movement-related changes in local and long-range synchronization in Parkinson's disease revealed by simultaneous magnetoencephalography and intracranial recordings [J]. Journal of Neuroscience, 2012, 32(31): 10541-10553. [23] Niazi IK, Jiang N, Tiberghien O, et al. Detection of movement intention from single-trial movement-related cortical potentials [J]. Journal of Neural Engineering, 2011, 8(6): 066009. [24] Xu R, Jiang N, Lin C, et al. Enhanced low-latency detection of motor intention from EEG for closed-loop brain-computer interface applications [J]. IEEE Transactions on Biomedical Engineering, 2013, 61(2): 288-296. [25] Buckner RL, Carroll DC. Self-projection and the brain [J]. Trends in Cognitive Sciences, 2007, 11(2): 49-57. [26] Baddeley AD. Exploring the central executive [M]//Exploring Working Memory. London: Routledge, 2017: 253-279. [27] Choi S, Na DL, Kang E, et al. Functional magnetic resonance imaging during pantomiming tool-use gestures [J]. Experimental Brain Research, 2001, 139(3): 311-317. [28] Johnson SH, Rotte M, Grafton ST, et al. Selective activation of a parietofrontal circuit during implicitly imagined prehension [J]. Neuroimage, 2002, 17(4): 1693-1704. [29] Wheaton LA, Shibasaki H, Hallett M. Temporal activation pattern of parietal and premotor areas related to praxis movements [J]. Clinical Neurophysiology, 2005, 116(5): 1201-1212. [30] Hamdy S, Rothwell JC, Brooks DJ, et al. Identification of the cerebral loci processing human swallowing with H2 15O PET activation [J]. Journal of Neurophysiology, 1999, 81(4): 1917-1926. [31] Tamler BJ, Kligerman MM. Diagnostic imaging aids to head and neck radiation oncology [J]. Neuroimaging Clinics of North America, 1996, 6(2): 515-530. [32] Zald DH, Pardo JV. The functional neuroanatomy of voluntary swallowing [J]. Annals of Neurology, 1999, 46(3): 281-286. [33] Mosier K, Bereznaya I. Parallel cortical networks for volitional control of swallowing in humans [J]. Experimental Brain Research, 2001, 140(3): 280-289. [34] Gevins AS, Cutillo BA, Bressler SL, et al. Event-related covariances during a bimanual visuomotor task. II. Preparation and feedback [J]. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 1989, 74(2): 147-160. [35] Urbano A, Babiloni C, Onorati P, et al. Dynamic functional coupling of high resolution EEG potentials related to unilateral internally triggered one-digit movements [J]. Electroencephalography and Clinical Neurophysiology, 1998, 106(6): 477-487. [36] Yue GH, Liu JZ, Siemionow V, et al. Brain activation during human finger extension and flexion movements [J]. Brain Research, 2000, 856(1-2): 291-300. [37] Georgopoulos AP, Massey JT. Cognitive spatial-motor processes. Information transmitted by the direction of two-dimensional arm movements and by neuronal populations in primate motor cortex and area 5 [J]. Experimental Brain Research, 1988, 69(2): 315-326. [38] Rickert J, de Oliveira SC, Vaadia E, et al. Encoding of movement direction in different frequency ranges of motor cortical local field potentials [J]. Journal of Neuroscience, 2005, 25(39): 8815-8824. [39] Velliste M, Perel S, Spalding MC, et al. Cortical control of a prosthetic arm for self-feeding [J]. Nature, 2008, 453(7198): 1098-1101. [40] 谢平, 吴晓光. 运动观察与运动想象的皮层节律活动与神经生理机制 [J]. 中国科学: 生命科学, 2015, 45(7): 665-676. [41] Daly JJ, Wolpaw JR. Brain-computer interfaces in neurological rehabilitation [J]. The Lancet Neurology, 2008, 7(11): 1032-1043. [42] Lalo E, Thobois S, Sharott A, et al. Patterns of bidirectional communication between cortex and basal ganglia during movement in patients with Parkinson disease [J]. Journal of Neuroscience, 2008, 28(12): 3008-3016. [43] Hsu YT, Lai HY, Chang YC, et al. The role of the sub-thalamic nucleus in the preparation of volitional movement termination in Parkinson's disease [J]. Experimental Neurology, 2012, 233(1): 253-263. [44] Niazi IK, Mrachacz-Kersting N, Jiang N, et al. Peripheral electrical stimulation triggered by self-paced detection of motor intention enhances motor evoked potentials [J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2012, 20(4): 595-604. [45] Xu R, Jiang N, Mrachacz-Kersting N, et al. Factors of influence on the performance of a short-latency non-invasive brain switch: evidence in healthy individuals and implication for motor function rehabilitation [J]. Frontiers in Neuroscience, 2016, 9: 527. [46] Rupp R, Gerner HJ. Neuroprosthetics of the upper extremity—clinical application in spinal cord injury and challenges for the future [J]. Operative Neuromodulation, 2007, 2007: 419-426. [47] Schwarz A, Höller MK, Pereira J, et al. Decoding hand movements from human EEG to control a robotic arm in a simulation environment [J]. Journal of Neural Engineering, 2020, 17(3): 036010. [48] Albares M, Criaud M, Wardak C, et al. Attention to baseline: does orienting visuospatial attention really facilitate target detection? [J]. Journal of Neurophysiology, 2011, 106(2): 809-816. [49] Aliakbaryhosseinabadi S, Kostic V, Pavlovic A, et al. Influence of attention alternation on movement-related cortical potentials in healthy individuals and stroke patients [J]. Clinical Neurophysiology, 2017, 128(1): 165-175.
