Study of the Correlation between the Motor Ability of the Individual Upper Limbs and Motor Imagery Induced Neural Activities

Bin Gu; Kun Wang; Long Chen; Jiatong He; Dingze Zhang; Minpeng Xu; Zhongpeng Wang; Dong Ming

doi:10.1016/j.neuroscience.2023.08.032

Study of the Correlation between the Motor Ability of the Individual Upper Limbs and Motor Imagery Induced Neural Activities

Neuroscience. 2023 Oct 15:530:56-65. doi: 10.1016/j.neuroscience.2023.08.032. Epub 2023 Aug 29.

Authors

Bin Gu¹, Kun Wang², Long Chen³, Jiatong He⁴, Dingze Zhang⁴, Minpeng Xu⁵, Zhongpeng Wang⁵, Dong Ming⁵

Affiliations

¹ SUISHI (Tianjin) Intelligence Ltd, China; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China.
² Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China. Electronic address: flora_wk@tju.edu.cn.
³ Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China. Electronic address: cagor@tju.edu.cn.
⁴ Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
⁵ Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China.

PMID: 37652289
DOI: 10.1016/j.neuroscience.2023.08.032

Abstract

Motor imagery based brain-computer interfaces (MI-BCIs) have excellent application prospects in motor enhancement and rehabilitation. However, MI-induced electroencephalogram features applied to MI-BCI usually vary from person to person. This study aimed to investigate whether the motor ability of the individual upper limbs was associated with these features, which helps understand the causes of inter-subject variability. We focused on the behavioral and psychological factors reflecting motor abilities. We first obtained the behavioral scale scores from Edinburgh Handedness Questionnaire, Maximum Grip Strength Test, and Purdue Pegboard Test assessments to evaluate the motor execution ability. We also required the subjects to complete the psychological Movement Imagery Questionnaire-3 estimate, representing MI ability. Then we recorded EEG signals from all twenty-two subjects during MI tasks. Pearson correlation coefficient and stepwise regression were used to analyze the relationships between MI-induced relative event-related desynchronization (rERD) patterns and motor abilities. Both Purdue Pegboard Test and Movement Imagery Questionnaire-3 scores had significant correlations with MI-induced neural oscillation patterns. Notably, the Purdue Pegboard Test of the left hand had the most significant correlation with the alpha rERD. The results of stepwise multiple regression analysis showed that the Purdue Pegboard Test and Movement Imagery Questionnaire-3 could best predict the MI-induced rERD. The results demonstrate that hand dexterity and fine motor coordination are significantly related to MI-induced neural activities. In addition, the method of imagining is also relevant to MI features. Therefore, this study is meaningful for understanding individual differences and the design of user-centered MI-BCI.

Keywords: behavioral assessment; electroencephalogram (EEG); motor ability; motor imagery; psychological assessment.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Brain-Computer Interfaces*
Electroencephalography* / methods
Hand
Humans
Imagery, Psychotherapy / methods
Imagination
Movement