Modeling of hyper-adaptability: from motor coordination to rehabilitation

Eberle, H; Hayashi, Yoshikatsu; Kurazume, Ryo; Takei, Toshinobu; An, Qi

doi:10.1080/01691864.2021.1943710

Cited by 7 publications

(2 citation statements)

References 72 publications

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“…Due to the multiple scopes of this research, we first evaluate muscle activation estimation results by the proposed normalization against results by traditional MVC normalization; next, we show the accuracy improvement of the proposed joint torque-based algorithm for musculoskeletal simulation compared to that of the most common SO based on squared muscle activation; finally, following a quality comparison between muscle synergies computed with our proposed method and the conventional peak EMG normalization in previous studies, we demonstrate the methodological impact on synergy structures and longitudinal changes in muscle tension and muscle synergy during subacute stroke rehabilitation to address our ultimate goal to provide new perspectives and independent reference data for future research on stroke rehabilitation. We also believe that modeling to recapitulate the process of functional recovery after motor dysfunctions is a promising approach to understanding hyper-adaptability in humans, the mechanism of adaptation to changes in the nervous and musculoskeletal systems (Eberle et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Clarify Sit-to-Stand Muscle Synergy and Tension Changes in Subacute Stroke Rehabilitation by Musculoskeletal Modeling

Wang

Yang

et al. 2022

Front. Syst. Neurosci.

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Post-stroke patients exhibit distinct muscle activation electromyography (EMG) features in sit-to-stand (STS) due to motor deficiency. Muscle activation amplitude, related to muscle tension and muscle synergy activation levels, is one of the defining EMG features that reflects post-stroke motor functioning and motor impairment. Although some qualitative findings are available, it is not clear if and how muscle activation amplitude-related biomechanical attributes may quantitatively reflect during subacute stroke rehabilitation. To better enable a longitudinal investigation into a patient's muscle activation changes during rehabilitation or an inter-subject comparison, EMG normalization is usually applied. However, current normalization methods using maximum voluntary contraction (MVC) or within-task peak/mean EMG may not be feasible when MVC cannot be obtained from stroke survivors due to motor paralysis and the subject of comparison is EMG amplitude. Here, focusing on the paretic side, we first propose a novel, joint torque-based normalization method that incorporates musculoskeletal modeling, forward dynamics simulation, and mathematical optimization. Next, upon method validation, we apply it to quantify changes in muscle tension and muscle synergy activation levels in STS motor control units for patients in subacute stroke rehabilitation. The novel method was validated against MVC-normalized EMG data from eight healthy participants, and it retained muscle activation amplitude differences for inter- and intra-subject comparisons. The proposed joint torque-based method was also compared with the common static optimization based on squared muscle activation and showed higher simulation accuracy overall. Serial STS measurements were conducted with four post-stroke patients during their subacute rehabilitation stay (137 ± 22 days) in the hospital. Quantitative results of patients suggest that maximum muscle tension and activation level of muscle synergy temporal patterns may reflect the effectiveness of subacute stroke rehabilitation. A quality comparison between muscle synergies computed with the conventional within-task peak/mean EMG normalization and our proposed method showed that the conventional was prone to activation amplitude overestimation and underestimation. The contributed method and findings help recapitulate and understand the post-stroke motor recovery process, which may facilitate developing more effective rehabilitation strategies for future stroke survivors.

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Section: Introductionmentioning

confidence: 99%

Clarify Sit-to-Stand Muscle Synergy and Tension Changes in Subacute Stroke Rehabilitation by Musculoskeletal Modeling

Wang

Yang

et al. 2022

Front. Syst. Neurosci.

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“…Bilge Karacali, Izmir Institute of Technology, Türkiye the rehabilitation process aimed at reacquisition of activities of daily living in hemiplegic patients after stroke (Krakauer, 2006;Eberle et al, 2021). Therefore, understanding the mechanisms of motor learning and developing methods to facilitate the process have potential applications in the rehabilitation field.…”

Section: Open Access Edited Bymentioning

confidence: 99%

Characteristics of EEG power spectra involved in the proficiency of motor learning

et al. 2023

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Neuromodulation techniques for modulating brain activity can affect performance in a variety of behaviors. Techniques including transcranial alternating current stimulation and random noise stimulation can modulate neural oscillations. However, the intervention effect of neuromodulation approaches on motor learning is poor, partly because the electroencephalography (EEG) power spectra associated with the motor learning process has not yet been fully elucidated. Therefore, we investigated the characteristics of EEG power spectra in the process of motor learning in 15 right-handed healthy participants (5 females; mean age = 22.8 ± 3.0 years). The motor task was a ball-rotation task in which participants rotated two balls in the palm of their left hand. Participants performed a pre-test, the motor learning tasks, and a post-test. In the motor learning tasks, twenty 60 s trials were performed in the clockwise (CW) direction. Before and after the motor learning tasks, CW and counterclockwise (CCW; control condition) tasks were performed for 60 s each as pre- and post-tests. Therefore, CW direction was set as a motor learning task, while CCW was a test-only control task. EEG was recorded during the tests and tasks, and the power spectra in the alpha, beta, and gamma oscillations were calculated and compared between pre- and post-tests. The results showed that in the CW post-test, the power of the gamma band in the left parietal areas and the right frontal area was significantly higher than in the pre-test. In the CCW, there was no significant difference in each band at each area between the pre- and post-tests. Our findings reveal the characteristics of the EEG spectra related to the motor learning process. These results may help to establish more effective neuromodulation approaches to modifying neural oscillations in motor learning, including in rehabilitation fields.

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