Corticomuscular Coherence Dependence on Body Side and Visual Feedback

L’Abbate, Teresa; Armonaite, Karolina; Gianni, Eugenia; Bertoli, M; Conti, L.; Grifoni, Joy; Cancelli, Andrea; Cottone, Carlo; Trombetta, Elisabetta; Padalino, Matteo; Porcaro, Camillo; Tecchio, Franca

doi:10.1016/j.neuroscience.2022.02.019

Cited by 9 publications

(9 citation statements)

References 72 publications

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“…For each subject we selected about 180 s of artifact free signal for carrying the analysis. As preliminary step, we selected the bipolar derivations with maximal peak amplitude of cortico-muscular coherence in beta band in each condition ( L’Abbate et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

“…Accordingly, in our experience with the primary somatosensory area, the activation properties of networks with different levels of ability, particularly the thumb and little finger representation networks, differed when tested while responding to elemental galvanic stimulation ( Tecchio et al, 2007 ). Based on this reasoning, we expect that even tested by a simple handgrip—performed with the same quality by the left hand and the right hand ( L’Abbate et al, 2022 )—we can perceive the differential organization of the representation networks of the two hands by NCD.…”

Section: Introductionmentioning

confidence: 99%

“…Though CMC is considered a well-established index of cortex-muscle information flow both in healthy and pathological conditions ( Mima and Hallett, 1999 ; Liu et al, 2019 ), clear limitations emerged ( Yang et al, 2018 ). Recently, we measured CMC sensitivity to visual feedback information and handedness, while participants were performing a weak handgrip task with the right or the left hand with or without undirect visual feedback ( L’Abbate et al, 2022 ). Tough we observed sensitivity of CMC to visual feedback, no significant variation of CMC related to handedness emerged, nor was it present in previous literature ( Tecchio et al, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

“…Especially we pose the working hypothesis that CMncd will show dependence on hand executing the task and the level of visual feedback. That is, we expect that: (i) left non-dominant hand control will express higher CMncd than right dominant hand control and (ii) providing undirect visual feedback CMncd will increase, as suggested by the behavior of cortico-muscular coherence ( L’Abbate et al, 2022 ). To test the two working hypotheses, we collected EEG and EMG simultaneously when subjects were performing a weak isometric handgrip task, with either the right or left hand, with or without undirect visual feedback of their exerted pressure.…”

Section: Introductionmentioning

confidence: 99%

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Normalized compression distance to measure cortico-muscular synchronization

Pascarella

Gianni²,

Abbondanza³

et al. 2022

Front. Neurosci.

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The neuronal functional connectivity is a complex and non-stationary phenomenon creating dynamic networks synchronization determining the brain states and needed to produce tasks. Here, as a measure that quantifies the synchronization between the neuronal electrical activity of two brain regions, we used the normalized compression distance (NCD), which is the length of the compressed file constituted by the concatenated two signals, normalized by the length of the two compressed files including each single signal. To test the NCD sensitivity to physiological properties, we used NCD to measure the cortico-muscular synchronization, a well-known mechanism to control movements, in 15 healthy volunteers during a weak handgrip. Independently of NCD compressor (Huffman or Lempel Ziv), we found out that the resulting measure is sensitive to the dominant-non dominant asymmetry when novelty management is required (p = 0.011; p = 0.007, respectively) and depends on the level of novelty when moving the non-dominant hand (p = 0.012; p = 0.024). Showing lower synchronization levels for less dexterous networks, NCD seems to be a measure able to enrich the estimate of functional two-node connectivity within the neuronal networks that control the body.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Normalized compression distance to measure cortico-muscular synchronization

Pascarella

Gianni²,

Abbondanza³

et al. 2022

Front. Neurosci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The current knowledge from only a few studies indicated that sensorimotor feedback can alter the CMC of the beta band. Despite these studies using CMC in sensorimotor integration such as visuomotor task ( L’Abbate et al, 2022 ) and tactile feedback task ( Li et al, 2020 ), no study has been carried out on the corticospinal pathway of auditory feedback task in our knowledge. As is known to all, auditory feedback is important information for sensory feedback ( Rath and Rocchesso, 2005 ; Park et al, 2015 ; Boyer et al, 2017 ; Gao et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of auditory feedback on fine motor output and corticomuscular coherence during a unilateral finger pinch task

2022

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Auditory feedback is important to reduce movement error and improve motor performance during a precise motor task. Accurate motion guided by auditory feedback may rely on the neural muscle transmission pathway between the sensorimotor area and the effective muscle. However, it remains unclear how neural activities and sensorimotor loops play a role in enhancing performance. The present study uses an auditory feedback system by simultaneously recording electroencephalogram (EEG), electromyography (EMG), and exert force information to measure corticomuscular coherence (CMC), neural activity, and motor performance during precise unilateral right-hand pinch by using the thumb and the index finger with and without auditory feedback. This study confirms three results. First, compared with no auditory feedback, auditory feedback decreases movement errors. Second, compared with no auditory feedback, auditory feedback decreased the power spectrum in the beta band in the bimanual sensorimotor cortex and the alpha band in the ipsilateral sensorimotor cortex. Finally, CMC was computed between effector muscle of right hand and contralateral sensorimotor cortex. Analyses reveals that the CMC of beta band significantly decreases in auditory feedback condition compared with no auditory feedback condition. The results indicate that auditory feedback decreases the power spectral in the alpha and beta bands and decreases corticospinal connection in the beta band during precise hand control. This study provides a new perspective on the effect of auditory feedback on behavior and brain activity and offers a new idea for designing more suitable and effective rehabilitation and training strategies to improve fine motor performance.

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