Scalp electroencephalograms over ipsilateral sensorimotor cortex reflect contraction patterns of unilateral finger muscles

Iwama, Seitaro; Tsuchimoto, Shohei; Hayashi, Masaaki; Mizuguchi, Nobuaki; Ushiba, Junichi

doi:10.1016/j.neuroimage.2020.117249

Cited by 11 publications

(7 citation statements)

References 87 publications

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“…Using SMR components as oscillatory scaffolds, the sensorimotor system entails large-scale neural communication 9,11,24,37,51,[56][57][58][59][60][61][62][63][64] . Although SMR components found in alpha-and beta-bands share certain characteristics, such as event-related attenuation of signal power 65 , their difference in functional relevance to the internal processing and cortical sources has been identified [66][67][68][69] .…”

Section: Discussionmentioning

confidence: 99%

Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability

et al. 2022

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Human behavior is not performed completely as desired, but is influenced by the inherent rhythmicity of the brain. Here we show that anti-phase bimanual coordination stability is regulated by the dynamics of pre-movement neural oscillations in bi-hemispheric primary motor cortices (M1) and supplementary motor area (SMA). In experiment 1, pre-movement bi-hemispheric M1 phase synchrony in beta-band (M1-M1 phase synchrony) was online estimated from 129-channel scalp electroencephalograms. Anti-phase bimanual tapping preceded by lower M1-M1 phase synchrony exhibited significantly longer duration than tapping preceded by higher M1-M1 phase synchrony. Further, the inter-individual variability of duration was explained by the interaction of pre-movement activities within the motor network; lower M1-M1 phase synchrony and spectral power at SMA were associated with longer duration. The necessity of cortical interaction for anti-phase maintenance was revealed by sham-controlled repetitive transcranial magnetic stimulation over SMA in another experiment. Our results demonstrate that pre-movement cortical oscillatory coupling within the motor network unknowingly influences bimanual coordination performance in humans after consolidation, suggesting the feasibility of augmenting human motor ability by covertly monitoring preparatory neural dynamics.

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Section: Discussionmentioning

confidence: 99%

Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability

et al. 2022

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“…To evaluate the sensorimotor excitability that may influence IHI, pre-processing and time-frequency analyses were performed, and the left and right SMR-ERDs were calculated. The SMR-ERD in EEG is a reliable surrogate monitoring marker of sensorimotor excitability level for several reasons: (1) SMR-ERD and task-induced increase in blood oxygenation level-dependent signals during MI are co-localized and co-varied at SM1 Yuan et al, 2010 ; (2) SMR-ERD control is associated with the contribution of SM1 modulated by tDCS ( Soekadar et al, 2015b ); and (3) data-driven EEG features discriminating the presence or absence of muscle contraction were predominantly localized in the parieto-temporal regions, indicating SMR-ERD ( Hayashi et al, 2019 ; Iwama et al, 2020 ). The time segment of interest was from the initiation of the trial to before the TMS-triggered time marker of the CS in order to avoid contamination by the TMS artifact (pre-stimulation period).…”

Section: Methodsmentioning

confidence: 99%

Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition

Hayashi

Okuyama

Mizuguchi

et al. 2022

eLife

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Human behavior requires interregional crosstalk to employ the sensorimotor processes in the brain. Although external neuromodulation techniques have been used to manipulate interhemispheric sensorimotor activity, a central controversy concerns whether this activity can be volitionally controlled. Experimental tools lack the power to up- or down-regulate the state of the targeted hemisphere over a large dynamic range and, therefore, cannot evaluate the possible volitional control of the activity. We addressed this difficulty by using the recently developed method of spatially bivariate electroencephalography (EEG)-neurofeedback to systematically enable the participants to modulate their bilateral sensorimotor activities. Herein, we report that participants learn to up- and down-regulate the ipsilateral excitability to the imagined hand while maintaining constant the contralateral excitability; this modulates the magnitude of interhemispheric inhibition (IHI) assessed by the paired-pulse transcranial magnetic stimulation (TMS) paradigm. Further physiological analyses revealed that the manipulation capability of IHI magnitude reflected interhemispheric connectivity in EEG and TMS, which was accompanied by intrinsic bilateral cortical oscillatory activities. Our results show an interesting approach for neuromodulation, which might identify new treatment opportunities, for example, in patients suffering from a stroke.

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“…To evaluate the sensorimotor excitability that may influence IHI, pre-processing and time-frequency analyses were performed, and the left and right SMR-ERDs and their laterality were calculated. SMR-ERD in EEG is a reliable surrogate monitoring marker of sensorimotor excitability level for several reasons: (1) SMR-ERD and task-induced increase in blood oxygenation level-dependent signals during MI are co-localized and co-varied at SM1 (Yuan et al, 2010); (2) SMR-ERD control is associated with the contribution of SM1 modulated by transcranial direct current stimulation (Soekadar et al, 2015b); and (3) data-driven EEG features discriminating the presence or absence of muscle contraction were predominantly localized in the parieto-temporal regions, indicating SMR-ERD (Hayashi et al, 2019; Iwama et al, 2020). The time segment of interest was from the initiation of the trial to before TMS-triggered time marker of the CS in order to avoid contamination by the TMS artifact (pre-stimulation period).…”

Section: Methodsmentioning

confidence: 99%

Spatially bivariate EEG-neurofeedback can manipulate interhemispheric rebalancing of M1 excitability

Hayashi

Okuyama

Mizuguchi

et al. 2021

Preprint

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Human behavior requires interregional crosstalk to employ the sensorimotor processes in the brain. Although some external neuromodulation tools have been used to manipulate interhemispheric sensorimotor activity, a central controversy concerns whether this activity can be volitionally controlled. Experimental tools lack the power to up- or down-regulate the state of the targeted hemisphere over a large dynamic range and, therefore, cannot evaluate the possible volitional control of the activity. We overcame this difficulty by using the recently developed method of spatially bivariate electroencephalography (EEG)-neurofeedback to systematically enable participants to manipulate their bilateral sensorimotor activities. Herein, we report that bi-directional changes in ipsilateral excitability to the imagined hand (conditioning hemisphere) affect interhemispheric inhibition (IHI) assessed by paired-pulse transcranial magnetic stimulation paradigm. In addition, participants were able to robustly manipulate the IHI magnitudes. Further physiological analyses revealed that the self-manipulation of IHI magnitude reflected interhemispheric connectivity in EEG and TMS, which was accompanied by intrinsic bilateral cortical oscillatory activities. Our results provide clear neuroscientific evidence regarding the inhibitory interhemispheric sensorimotor activity and IHI manipulator, thereby challenging the current theoretical concept of recovery of motor function for neurorehabilitation.

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Scalp electroencephalograms over ipsilateral sensorimotor cortex reflect contraction patterns of unilateral finger muscles

Cited by 11 publications

References 87 publications

Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability

Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability

Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition

Spatially bivariate EEG-neurofeedback can manipulate interhemispheric rebalancing of M1 excitability

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