Evidence map›Paper›PMID 31662834›Full record

ArticleJournal of healthcare engineering2019

G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery.

Chao Chen, Jiaxin Zhang, Abdelkader Nasreddine Belkacem, Shanting Zhang, Rui Xu, Bin Hao, Qiang Gao, Duk Shin, Changming Wang, Dong Ming

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  3. Aberrant beta-band brain connectivity predicts speech motor planning deficits in post-stroke aphasia.Cortex; a journal devoted to the study of the nervous system and behavior · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Chao ChenKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China.ORCID 0000-0001-7358-4332
Jiaxin ZhangKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China.
Abdelkader Nasreddine BelkacemDepartment of Computer and Network Engineering, College of Information Technology, UAE University, P.O. Box 15551, Al Ain, UAE.ORCID 0000-0002-3024-4167
Shanting ZhangKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China.
Rui XuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
Bin HaoZhonghuan Information College Tianjin University of Technology, Tianjin 300380, China.
Qiang GaoKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China.
Duk ShinDepartment of Electronics and Mechatronics, Tokyo Polytechnic University, Kanagawa 243-0297, Japan.ORCID 0000-0001-8454-0319
Changming WangBeijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.ORCID 0000-0003-3827-1124
Dong MingAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-8192-2538
Tianjin University of Technology · CNTianjin University · CNNorth China University of Science and Technology · CNTokyo Polytechnic University · JPUnited Arab Emirates University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor imagery is one of the classical paradigms which have been used in brain-computer interface and motor function recovery. 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 ± 7.3, 35.5 ± 8.8, 36.3 ± 10.3, and 39.2 ± 9.0 and lowest Granger causality coefficients of 9.1 ± 3.2, 10.9 ± 3.7, 13.2 ± 0.6, and 13.4 ± 0.6 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.

Indexed as

AdultBrainElectroencephalographyFemaleFingersHumansImaginationMaleModels, NeurologicalMotor CortexMovementStroke RehabilitationYoung Adult

Identifiers

PMID31662834
PMCPMC6791225
OpenAlexW2978528131

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.