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Finger movement-based motor execution is a complex biomechanical architecture and a crucial task for establishing most complicated and natural activities in daily life. Some patients may suffer from alternating hemiplegia after brain stroke and lose their ability of motor execution. Fortunately, the ability of motor imagery might be preserved independently and worked as a backdoor for motor function recovery. The efficacy of motor imagery for achieving significant recovery for the motor cortex after brain stroke is still an open question. In this study, we designed a new paradigm to investigate the neural mechanism of thirty finger movements in two scenarios: motor execution and motor imagery. Eleven healthy participants performed or imagined thirty hand gestures twice based on left and right finger movements. The electroencephalogram (EEG) signal for each subject during sixty trials left and right finger motor execution and imagery were recorded during our proposed experimental paradigm. The Granger causality (G-causality) analysis method was employed to analyze the brain connectivity and its strength between contralateral premotor, motor, and sensorimotor areas. Highest numbers for G-causality trials of 37\u2009\u00b1\u20097.3, 35.5\u2009\u00b1\u20098.8, 36.3\u2009\u00b1\u200910.3, and 39.2\u2009\u00b1\u20099.0 and lowest Granger causality coefficients of 9.1\u2009\u00b1\u20093.2, 10.9\u2009\u00b1\u20093.7, 13.2\u2009\u00b1\u20090.6, and 13.4\u2009\u00b1\u20090.6 were achieved from the premotor to motor area during execution\/imagination tasks of right and left finger movements, respectively. These results provided a new insight into motor execution and motor imagery based on hand gestures, which might be useful to build a new biomarker of finger motor recovery for partially or even completely plegic patients. Furthermore, a significant difference of the G-causality trial number was observed during left finger execution\/imagery and right finger imagery, but it was not observed during the right finger execution phase. Significant difference of the G-causality coefficient was observed during left finger execution and imagery, but it was not observed during right finger execution and imagery phases. These results suggested that different MI-based brain motor function recovery strategies should be taken for right-hand and left-hand patients after brain stroke.<\/jats:p>","DOI":"10.1155\/2019\/5068283","type":"journal-article","created":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T19:30:15Z","timestamp":1570044615000},"page":"1-12","source":"Crossref","is-referenced-by-count":31,"title":["G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7358-4332","authenticated-orcid":true,"given":"Chao","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China"},{"name":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3024-4167","authenticated-orcid":true,"given":"Abdelkader Nasreddine","family":"Belkacem","sequence":"additional","affiliation":[{"name":"Department of Computer and Network Engineering, College of Information Technology, UAE University, P.O. 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