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

Joint Authors

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

Source

Journal of Healthcare Engineering

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-10-02

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Public Health
Medicine

Abstract EN

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.

American Psychological Association (APA)

Chen, Chao& Zhang, Jiaxin& Belkacem, Abdelkader Nasreddine& Zhang, Shanting& Xu, Rui& Hao, Bin…[et al.]. 2019. G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1175233

Modern Language Association (MLA)

Chen, Chao…[et al.]. G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery. Journal of Healthcare Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1175233

American Medical Association (AMA)

Chen, Chao& Zhang, Jiaxin& Belkacem, Abdelkader Nasreddine& Zhang, Shanting& Xu, Rui& Hao, Bin…[et al.]. G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1175233

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1175233