Intermuscular coherence contributions in synergistic muscles during pedaling

Marchis, Cristiano De; Severini, Giacomo; Castronovo, Anna Margherita; Schmid, Maurizio; Conforto, Silvia

doi:10.1007/s00221-015-4262-4

Cited by 54 publications

(69 citation statements)

References 60 publications

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“…All of them however then experienced a reduction of co-contraction. Considering this common co-contraction phenomenon (between close and distant muscles) during early adaptation, IMC appears more valid in extracting the most relevant functional contribution as demonstrated elsewhere (De Marchis et al, 2015). From a neuromechanical point of view, reaching during motor adaptation is characterized by subjects aiming to improve and eventually stabilize their performance, which probably explains why a significant coherent contribution emerges (Omlor et al, 2007).…”

Section: Discussionmentioning

confidence: 81%

“…A novel experimental study of IMC in lower limb muscles during pedaling (De Marchis et al, 2015), demonstrated significant gamma-band IMC between knee extensors whose function was to generate power and propel the crank during the pedaling task, suggesting a direct relationship between IMC, muscle coordination optimization and ultimately functional force production for the pedaling movement.…”

Section: Discussionmentioning

confidence: 99%

“…As an alternative approach, we have used intermuscular coherence (IMC) to identify possible neural mechanisms contributing to the optimization of behavioral performance during motor adaptation (Halliday et al, 1995; Halliday and Rosenberg, 2000). IMC has been used for the evaluation of coherent activation in muscle pairs during isometric contraction tasks (Baker et al, 1999; Kilner et al, 1999; Poston et al, 2010; Semmler et al, 2013; Jesunathadas et al, 2013), tremor (Halliday et al, 2000; van Rootselaar et al, 2006; van der Stouwe et al, 2015), and more recently in rhythmic movement such as pedaling (De Marchis et al, 2015) and stepping (Chang et al, 2012). Changes in different frequency bands of coherence may confer information on the changes in descending neural signals (grip task, IMC in 0–35 Hz range, Danna-Dos Santos et al, 2010; precision grip and ankle dorsiflexion task, IMC in 15–30 Hz range Fisher et al, 2012; precision grip tasks during sustained extension/flexion of elbow joint, IMC in 13–25 Hz range, Lee et al, 2014), on the status of functional recovery of neural structures after injury (force-tracking precision grip task, IMC in 30–46 Hz range, Nishimura et al, 2009) or of impaired motor skills (reaching, IMC in 0–11 Hz range, Kisiel-Sajewicz et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation

et al. 2017

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Adaptation of arm reaching in a novel force field involves co-contraction of upper limb muscles, but it is not known how the co-ordination of multiple muscle activation is orchestrated. We have used intermuscular coherence (IMC) to test whether a coherent intermuscular coupling between muscle pairs is responsible for novel patterns of activation during adaptation of reaching in a force field. Subjects (N = 16) performed reaching trials during a null force field, then during a velocity-dependent force field and then again during a null force field. Reaching trajectory error increased during early adaptation to the force-field and subsequently decreased during later adaptation. Co-contraction in the majority of all possible muscle pairs also increased during early adaptation and decreased during later adaptation. In contrast, IMC increased during later adaptation and only in a subset of muscle pairs. IMC consistently occurred in frequencies between ~40–100 Hz and during the period of arm movement, suggesting that a coherent intermuscular coupling between those muscles contributing to adaptation enable a reduction in wasteful co-contraction and energetic cost during reaching.

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Section: Discussionmentioning

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation

et al. 2017

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“…For example, the quadriceps muscles vastus lateralis (VL) and vastus medialis (VM) have very similar contributions to task performance, with each muscle producing a similar extension torque at the knee [9][10][11]. Consistent with the proposal that co-variation patterns reflect muscles' contribution to task performance [7,[12][13][14][15], the activations of VM and VL are strongly correlated [15][16][17][18], suggesting that the CNS might control VM and VL as a single functional unit to simplify the achievement of task goals [19].…”

Section: Introductionmentioning

confidence: 89%

“…A different approach for evaluating muscle co-variation is to examine the precise timing of motor units in different muscles, using either time domain cross-correlations or frequency domain coherence analyses [1,15,16]. These measures provide important information about the neural drive to motor units, evaluating whether they share common inputs from the nervous system.…”

Section: Evaluating Muscle Co-variation Patternsmentioning

confidence: 99%

Coordination amongst quadriceps muscles suggests neural regulation of internal joint stresses, not simplification of task performance

Alessandro¹,

Prashara²,

Tentler³

et al. 2019

Preprint

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Many studies have demonstrated co-variation between muscle activations during behavior, suggesting that muscles are not controlled independently. According to one common proposal, this co-variation reflects simplification of task performance by the nervous system, so that muscles with similar contributions to task variables are controlled together. Alternatively, this co-variation might reflect regulation of low-level aspects of movements that are common across tasks, such as stresses within joints. We examined these issues by analyzing co-variation patterns in quadriceps muscle activity during locomotion in rats. The three mono-articular quadriceps muscles (vastus medialis, VM; vastus lateralis, VL; vastus intermedius, VI) produce knee extension and so have identical contributions to task performance; the bi-articular rectus femoris (RF) produces an additional hip flexion. Consistent with the proposal that muscle co-variation is related to similarity of muscle actions on task variables, we found that the co-variation between VM and VL was stronger than their co-variations with RF. However, co-variation between VM and VL was also stronger than their co-variations with VI. Since all vastii have identical actions on task variables, this finding suggests that co-variation between muscle activity is not solely driven by simplification of task performance. Instead, the preferentially strong covariation between VM and VL is consistent with the control of internal joint stresses: since VM and VL produce opposing mediolateral forces on the patella, the high positive correlation between their activation minimizes the net mediolateral patellar force. These results provide important insights into the interpretation of muscle co-variations and their role in movement control.

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Muscle synergies are associated with intermuscular coherence and cortico-synergy coherence in an isometric upper limb task

Ortega-Auriol,

Byblow,

Besier

et al. 2023

Exp Brain Res

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To elucidate the underlying physiological mechanisms of muscle synergies, we investigated long-range functional connectivity by cortico-muscular (CMC), intermuscular (IMC) and cortico-synergy (CSC) coherence. Fourteen healthy participants executed an isometric upper limb task in synergy-tuned directions. Cortical activity was recorded using 32-channel electroencephalography (EEG) and muscle activity using 16-channel electromyography (EMG). Using non-negative matrix factorisation (NMF), we calculated muscle synergies from two different tasks. A preliminary multidirectional task was used to identify synergy-preferred directions (PDs). A subsequent coherence task, consisting of generating forces isometrically in the synergy PDs, was used to assess the functional connectivity properties of synergies. Overall, we were able to identify four different synergies from the multidirectional task. A significant alpha band IMC was consistently present in all extracted synergies. Moreover, IMC alpha band was higher between muscles with higher weights within a synergy. Interestingly, CSC alpha band was also significantly higher across muscles with higher weights within a synergy. In contrast, no significant CMC was found between the motor cortex area and synergy muscles. The presence of a shared input onto synergistic muscles within a synergy supports the idea of neurally derived muscle synergies that build human movement. Our findings suggest cortical modulation of some of the synergies and the consequential existence of shared input between muscles within cortically modulated synergies.

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Intermuscular coherence contributions in synergistic muscles during pedaling

Cited by 54 publications

References 60 publications

High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation

High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation

Coordination amongst quadriceps muscles suggests neural regulation of internal joint stresses, not simplification of task performance

Muscle synergies are associated with intermuscular coherence and cortico-synergy coherence in an isometric upper limb task

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