2022
DOI: 10.1038/s41598-022-12225-1
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Evidence for shared neural information between muscle synergies and corticospinal efficacy

Abstract: Stroke survivors often exhibit gait dysfunction which compromises self-efficacy and quality of life. Muscle Synergy Analysis (MSA), derived from electromyography (EMG), has been argued as a method to quantify the complexity of descending motor commands and serve as a direct correlate of neural function. However, controversy remains regarding this interpretation, specifically attribution of MSA as a neuromarker. Here we sought to determine the relationship between MSA and accepted neurophysiological parameters … Show more

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Cited by 8 publications
(5 citation statements)
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“…This observed increase post-TMS suggests potential bene ts of TMS therapy for stroke rehabilitation, indicating a positive impact on the recovery of muscle function. Consistent with existing research ndings (Munneke et al, 2018;Young et al, 2022), this supports the effectiveness of TMS as a neurorehabilitation tool, emphasizing its role in enhancing muscle activity in stroke patients. TMS is known to modulate cortical excitability by inducing electrical currents in the brain.…”
Section: Discussionsupporting
confidence: 88%
“…This observed increase post-TMS suggests potential bene ts of TMS therapy for stroke rehabilitation, indicating a positive impact on the recovery of muscle function. Consistent with existing research ndings (Munneke et al, 2018;Young et al, 2022), this supports the effectiveness of TMS as a neurorehabilitation tool, emphasizing its role in enhancing muscle activity in stroke patients. TMS is known to modulate cortical excitability by inducing electrical currents in the brain.…”
Section: Discussionsupporting
confidence: 88%
“…The patient clusterings we observed instead suggest that exploiting the available degrees-of-freedom of less impaired patients by promoting adaptive compensatory strategies (Jones, 2017), although atypical, may be beneficial towards their motor function. This distinct interpretation provided by our framework aligns with previous work demonstrating a two-way stratification of stroke survivors into those whose recovery was and was not proportional to their initial impairment (Bonkhoff et al, 2022;Prabhakaran et al, 2008), representing distinct recovery patterns linked to corticospinal tract integrity (Byblow et al, 2015;Young et al, 2022). Our findings here concur with this observation, demonstrating that less cognitively impaired patients were able to adopt novel motor patterns likely through the adaptation of alternative descending neural pathways (Jones, 2017;McMorland et al, 2015), while more severely impaired cohorts were not, together suggesting direct links with neural impairments post-stroke.…”
Section: Discussionsupporting
confidence: 83%
“…Thus, although locomotor patterns can appear highly stereotyped, considerable inter-and intra-individual variability exists. Studies of locomotor behaviors have shown systematic differences in movement patterns based on a wide range of neural [1][2][3][4] and biomechanical perturbations [5][6][7][8] environmental challenges [9,10], psychological state [11,12], social status [13,14], injury [15][16][17], and disease [4,[18][19][20][21][22][23]. Furthermore, locomotor impairments can arise from a wide range of physiological and neurological changes, from the subtle changes that may be indicators of progressive disorders (e.g., aging, cognitive impairments) to profound impairments with brain injury (e.g., stroke, spinal cord injury) that can severely limit locomotor function.…”
Section: Introductionmentioning
confidence: 99%