Contributions of descending and ascending pathways to corticomuscular coherence in humans

Witham, Claire L.; Riddle, C. Nicholas; Baker, Mark R.; Baker, Stuart N.

doi:10.1113/jphysiol.2011.211045

Cited by 221 publications

(264 citation statements)

References 44 publications

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“…This was identical to the time lag that was found in the beta band during static force output. An 11-ms time lag for the beta band is consistent with previously findings, e.g., 15.9 ms (Mima et al, 2000), 9.3 ms (Gerlo↵ et al, 2006) and 7.9 ms (Witham et al, 2011). Similarly, (Scho↵elen et al, 2005) found a positive slope for corticomuscular gamma-band coherence corresponding to a time delay of 7.0 ms.…”

Section: Discussionsupporting

confidence: 91%

“…Similarly, (Scho↵elen et al, 2005) found a positive slope for corticomuscular gamma-band coherence corresponding to a time delay of 7.0 ms. These results suggest that cortical activity leads muscle activity in the beta and gamma bands are consistent with the interpretation that corticomuscular beta-band coherence is primarily driven by e↵erent or descending pathways, although a↵erent or ascending pathways have shown to play a role as well (Riddle and Baker, 2005;Witham et al, 2011). By contrast, the phase spectra in the alpha band revealed a 5-ms time lag in the reverse direction, suggesting that cortical activity was here lagging EMG activity.…”

Section: Discussionsupporting

confidence: 86%

“…This is the first study to show significant corticomuscular coherence in the alpha and gamma bands during a transition between two force targets. Previous studies that used a similar experimental paradigm generally failed to show significant coherence during the transition between force levels (Kilner et al, 2000;Baker et al, 1997;Witham et al, 2011). However, these studies used a slightly di↵erent task design, where participants had to slowly change their force output from target 1 to target 2 during a 2 s interval.…”

Section: Discussionmentioning

confidence: 99%

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The reorganization of corticomuscular coherence during a transition between sensorimotor states

2014

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Recent research suggests that neural oscillations in di↵erent frequency bands support distinct and sometimes parallel processing streams in neural circuits. Studies of the neural dynamics of human motor control have primarily focused on oscillations in the beta band (15 30 Hz). During sustained muscle contractions, corticomuscular coherence is mainly present in the beta band, while coherence in the alpha (8 12 Hz) and gamma (30 80 Hz) bands has not been consistently found. Here we test the hypothesis that the frequency of corticomuscular coherence changes during transitions between sensorimotor states. Corticomuscular coherence was investigated in twelve participants making rapid transitions in force output between two targets. Corticomuscular coherence was present in the beta band during sustained contractions but vanished before movement onset, being replaced by transient synchronization in the alpha and gamma bands during dynamic force output. Analysis of the phase spectra suggested a time delay from muscle to cortex for alpha-band coherence, by contrast to a time delay from cortex to muscle for gamma-band coherence, indicating a↵erent and e↵erent corticospinal interactions respectively. Moreover, alpha and gamma -band coherence revealed distinct spatial topologies, suggesting di↵erent generative mechanisms. Coherence in the alpha and gamma bands was almost exclusively confined to trials showing a movement overshoot, suggesting a functional role related to error correction. We interpret the dual-band synchronization in the alpha and gamma bands as parallel streams of corticospinal processing involved in parsing prediction errors and generating new motor predictions.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

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The reorganization of corticomuscular coherence during a transition between sensorimotor states

2014

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“…A previous study investigating the CMC during finger movements estimated that the time lag from the finger to the cortex through the afferent pathway was obviously greater than the initial component (N20m) of SEPs following median nerve stimulation (Witham et al, 2011). The reason for the longer latency of the CMC time lag compared with that of the N20m of SEPs was that the CMC time lag might reflect the average of all SEP components, not just the initial component; additionally, the afferent pathway and nerve fiber sizes are different between cutaneous sensation and proprioceptive sensation.…”

Section: Conduction Time Of the Afferent Pathwaysmentioning

confidence: 99%

Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

et al. 2016

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Tongue movements contribute to oral functions including swallowing, vocalizing, and breathing. Fine tongue movements are regulated through efferent and afferent connections between the cortex and tongue. It has been demonstrated that cortico-muscular coherence (CMC) is reflected at two frequency bands during isometric tongue protrusions: the beta (β) band at 15-35 Hz and the low-frequency band at 2-10 Hz. The CMC at the β band (β-CMC) reflects motor commands from the primary motor cortex (M1) to the tongue muscles through hypoglossal motoneuron pools. However, the generator mechanism of the CMC at the low-frequency band (low-CMC) remains unknown. Here, we evaluated the mechanism of low-CMC during isometric tongue protrusion using magnetoencephalography (MEG). Somatosensory evoked fields (SEFs) were also recorded following electrical tongue stimulation. Significant low-CMC and β-CMC were observed over both hemispheres for each side of the tongue.Time-domain analysis showed that the MEG signal followed the electromyography signal for low-CMC, which was contrary to the finding that the MEG signal preceded the electromyography signal for β-CMC. The mean conduction time from the tongue to the cortex was not significantly different between the low-CMC (mean, 80.9 ms) and SEFs (mean, 71.1 ms). The cortical sources of low-CMC were located significantly posterior (mean, 10.1 mm) to the sources of β-CMC in M1, but were in the same area as tongue SEFs in the primary somatosensory cortex (S1). These results reveal that the low-CMC may be driven by proprioceptive afferents from the tongue muscles to S1, and that the oscillatory interaction was derived from each side of the tongue to both hemispheres. Oscillatory proprioceptive feedback from the tongue muscles may aid in the coordination of sophisticated tongue movements in humans.

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“…Comment on Witham et al (2011) More and more studies indicate that corticomuscular coherence in the beta band (15 − 30Hz), which expresses the functional coupling between the cortex and the muscles, originates from the interaction within the sensorimotor loop (e.g. Witham et al, 2011).…”

Section: Preludementioning

confidence: 99%

Identification of connectivity in human motor control: exciting the afferent pathways

Campfens¹

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Contributions of descending and ascending pathways to corticomuscular coherence in humans

Cited by 221 publications

References 44 publications

The reorganization of corticomuscular coherence during a transition between sensorimotor states

The reorganization of corticomuscular coherence during a transition between sensorimotor states

Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

Identification of connectivity in human motor control: exciting the afferent pathways

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