The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia

Chen, Shugeng; Shu, Xiaokang; Wang, Hewei; Fu, Jianghong; Jia, Jie

doi:10.3389/fnbot.2021.706630

Cited by 23 publications

(25 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Brian activation vary among different motor tasks. Tasks involving motor imagery, increased motor impairment was reported to be associated with stronger ERD in the contralesional hemisphere 35 . However, the tasks involving motor attempt ,were associated with higher hemispheric asymmetry in ERS 35 .…”

Section: Discussionmentioning

confidence: 96%

“…Tasks involving motor imagery, increased motor impairment was reported to be associated with stronger ERD in the contralesional hemisphere 35 . However, the tasks involving motor attempt ,were associated with higher hemispheric asymmetry in ERS 35 . Nevertheless, people who make good recovery in hand function after a stroke often show relatively normal task-related brain activation in both hemispheres when performing these motor tasks 36 .…”

Section: Discussionmentioning

confidence: 96%

See 1 more Smart Citation

Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface

Mansour

Giles

Ang

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a novel method of stroke rehabilitation. In many BCI-based studies, the activation of the ipsilesional hemisphere was considered a key factor required for motor recovery after stroke. However, emerging evidence suggests that the contralesional hemisphere also plays a role in motor function rehabilitation. The objective of this study is to investigate the effectiveness of the BCI in detecting motor imagery of the affected hand from contralesional hemisphere. We analyzed a large EEG dataset from 136 stroke patients who performed motor imagery of their stroke-impaired hand. BCI features were extracted from channels covering either the ipsilesional, contralesional or bilateral hemisphere, and the offline BCI accuracy was computed using 10 $$\times $$ × 10-fold cross-validations. Our results showed that most stroke patients can operate the BCI using either their contralesional or ipsilesional hemisphere. Those with the ipsilesional BCI accuracy of less than 60% had significantly higher motor impairments than those with the ipsilesional BCI accuracy above 80%. Interestingly, those with the ipsilesional BCI accuracy of less than 60% achieved a significantly higher contralesional BCI accuracy, whereas those with the ipsilesional BCI accuracy more than 80% had significantly poorer contralesional BCI accuracy. This study suggests that contralesional BCI may be a useful approach for those with a high motor impairment who cannot accurately generate signals from ipsilesional hemisphere to effectively operate BCI.

show abstract

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 96%

Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface

Mansour

Giles

Ang

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Previous non-invasive studies already indicated that attempted movement may provide relevant information during the classification of cue-based tasks in spinal cord injured participants (López-Larraz et al 2012, Ofner et al 2019, Chen et al 2021. Here, combining the results of two different studies, we report that attempted movement may also be decoded online continuously well above chance level during externally paced target-tracking tasks as well as selfpaced tracing tasks (23 s duration per trial), not only in able-bodied participants, but also in a spinal cord injured participant.…”

Section: Discussionmentioning

confidence: 99%

Continuous 2D trajectory decoding from attempted movement: across-session performance in able-bodied and feasibility in a spinal cord injured participant

et al. 2022

View full text Add to dashboard Cite

Objective. In people with a cervical spinal cord injury (SCI) or degenerative diseases leading to limited motor function, restoration of upper limb movement has been a goal of the brain-computer interface (BCI) field for decades. Recently, research from our group investigated non-invasive and real-time decoding of continuous movement in able-bodied participants from low-frequency brain signals during a target-tracking task. To advance our setup towards motor-impaired end users, we consequently chose a new paradigm based on attempted movement. Approach. Here, we present the results of two studies. During the first study, data of ten able-bodied participants completing a target-tracking/shape-tracing task on-screen were investigated in terms of improvements in decoding performance due to user training. In a second study, a spinal cord injured participant underwent the same tasks. To investigate the merit of employing attempted movement in end users with SCI, data of the spinal cord injured participant were recorded twice; once within an observation only condition, and once while simultaneously attempting movement. Main results. We observed mean correlation well above chance level for continuous motor decoding based on attempted movement in able-bodied participants. No global improvement over three sessions, both in sensor and source space, could be observed across all participants and movement parameters. In the participant with SCI, decoding performance well above chance was found. Significance. No presence of a learning effect in continuous attempted movement decoding in able-bodied participants could be observed. In contrast, non-significantly varying decoding patterns may promote the use of source space decoding in terms of generalized decoders utilizing transfer learning. Furthermore, above-chance correlations for attempted movement decoding ranging between those of observation only and executed movement were seen in one spinal cord injured participant, suggesting attempted movement decoding as a possible link between feasibility studies in able-bodied and actual applications in motor impaired end users.

show abstract

“…In previous studies, we found that a BCI (Figure 2) with exoskeleton feedback was practical in subacute stroke patients, and patients who presented increasingly stronger or continuously strong activations (ERD) may obtain better motor recovery (Chen et al, 2020a). Further, the motor attempt task may provide better BCI accuracy but has similar activations in the cortex as the motor image task (Chen et al, 2021).…”

Section: Small Closed-loop Rehabilitation Modementioning

confidence: 97%

“…In 2021, we proposed an inter-and intra-subject transfer calibration scheme for improving feedback performance of the closed-loop BCI training (Cao et al, 2020). In the same year, we compared the differences between motor attempt and motor imagery tasks, which are commonly used in a closed-loop BCI system (Chen et al, 2021). In 2022, we further demonstrated the relationships between sensorimotor rhythm during motor attempt/imagery tasks and upper limb motor impairment in stroke (Chen et al, 2022), which may support the clinical application of the closed-loop BCI system.…”

Section: Introduction Concept and Development Of The Theory Of Centra...mentioning

confidence: 99%

Exploration on neurobiological mechanisms of the central–peripheral–central closed-loop rehabilitation

Jia

2022

Front. Cell. Neurosci.

Self Cite

View full text Add to dashboard Cite

Central and peripheral interventions for brain injury rehabilitation have been widely employed. However, as patients’ requirements and expectations for stroke rehabilitation have gradually increased, the limitations of simple central intervention or peripheral intervention in the rehabilitation application of stroke patients’ function have gradually emerged. Studies have suggested that central intervention promotes the activation of functional brain regions and improves neural plasticity, whereas peripheral intervention enhances the positive feedback and input of sensory and motor control modes to the central nervous system, thereby promoting the remodeling of brain function. Based on the model of a central–peripheral–central (CPC) closed loop, the integration of center and peripheral interventions was effectively completed to form “closed-loop” information feedback, which could be applied to specific brain areas or function-related brain regions of patients. Notably, the closed loop can also be extended to central and peripheral immune systems as well as central and peripheral organs such as the brain–gut axis and lung–brain axis. In this review article, the model of CPC closed-loop rehabilitation and the potential neuroimmunological mechanisms of a closed-loop approach will be discussed. Further, we highlight critical questions about the neuroimmunological aspects of the closed-loop technique that merit future research attention.

show abstract

The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia

Cited by 23 publications

References 58 publications

Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface

Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface

Continuous 2D trajectory decoding from attempted movement: across-session performance in able-bodied and feasibility in a spinal cord injured participant

Exploration on neurobiological mechanisms of the central–peripheral–central closed-loop rehabilitation

Contact Info

Product

Resources

About