Resting-state connectivity predicts visuo-motor skill learning

Manuel, Aurélie L.; Guggisberg, Adrian G.; Thézé, Raphaël; Turri, Francesco; Schnider, Armin

doi:10.1016/j.neuroimage.2018.05.003

Cited by 39 publications

(35 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the present study applied tACS at fixed frequencies such as 10 and 20 Hz, but not individual frequency, we may not have obtained the robust aftereffect of tACS on motor learning in AB8. Furthermore, the visuomotor learning tasks used in the present study would be considered higher‐order motor learning, which requires proprioceptive and visual feedback to control movements, a process more relevant to the development and learning of a new sport or a musical instrument (Manuel, Guggisberg, Thézé, Turri, & Schnider, 2018). This suggests that the aftereffect of tACS at fixed frequency, that is 10 Hz, may not be sufficient to further correct the angular error or overcome the ceiling effect in the visuomotor learning tasks.…”

Section: Discussionmentioning

confidence: 99%

Off‐line effects of alpha‐frequency transcranial alternating current stimulation on a visuomotor learning task

et al. 2020

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Off‐line effects of alpha‐frequency transcranial alternating current stimulation on a visuomotor learning task

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The simultaneous appearance of anterior (frontal) and posterior (occipital) brain activation in alpha frequency might denote the participant's mentally relaxed state while still maintaining vigilance after dancing (Cantero et al, 2002;Zschocke and Hansen, 2012;Malik and Amin, 2017). This could be beneficial, especially for the creation of an optimal learning state (Manuel et al, 2018), so relaxed wakefulness could be confirmed in connectivity. An increased connectivity creates not only favorable learning conditions, but could also be beneficial in the context of dance therapy, as some neurological diseases are associated with abnormally low connectivity (Du et al, 2018).…”

Section: Impact Of Physically Executed Dance Without Musicmentioning

confidence: 98%

Electrical Brain Activity and Its Functional Connectivity in the Physical Execution of Modern Jazz Dance

et al. 2020

View full text Add to dashboard Cite

Besides the pure pleasure of watching a dance performance, dance as a whole-body movement is becoming increasingly popular for health-related interventions. However, the science-based evidence for improvements in health or well-being through dance is still ambiguous and little is known about the underlying neurophysiological mechanisms. This may be partly related to the fact that previous studies mostly examined the neurophysiological effects of imagination and observation of dance rather than the physical execution itself. The objective of this pilot study was to investigate acute effects of a physically executed dance with its different components (recalling the choreography and physical activity to music) on the electrical brain activity and its functional connectivity using electroencephalographic (EEG) analysis. Eleven dance-inexperienced female participants first learned a Modern Jazz Dance (MJD) choreography over three weeks (1 h sessions per week). Afterwards, the acute effects on the EEG brain activity were compared between four different test conditions: physically executing the MJD choreography with music, physically executing the choreography without music, imaging the choreography with music, and imaging the choreography without music. Every participant passed each test condition in a randomized order within a single day. EEG rest-measurements were conducted before and after each test condition. Considering time effects the physically executed dance without music revealed in brain activity analysis most increases in alpha frequency and in functional connectivity analysis in all frequency bands. In comparison, physically executed dance with music as well as imagined dance with music led to fewer increases and imagined dance without music provoked noteworthy brain activity and connectivity decreases at all frequency bands. Differences between the test conditions were found in alpha and beta frequency between the physically executed dance and the imagined dance without music as well as between the physically executed dance with and without music in the alpha frequency. The study highlights different effects of a physically executed dance compared to an imagined dance on many brain areas for all measured frequency bands. These findings provide first insights into the still widely unexplored field of neurological effects of dance and encourages further research in this direction.

show abstract

“…For dimensionality reduction in the spatial domain, we used a grouplevel independent component analysis (ICA) procedure and selected a few independent components (ICs) that represent cortical processes consistently found across all 37 subjects. For temporal dimensionality reduction, we transformed the five-minute resting-state data of every IC into the spectral domain and then computed their mean bandpower in the αband (8-14 Hz), relying on a variety of studies on relevance of α-rhythms in visuomotor learning [23], [24], [40], [41].…”

Section: E Eeg Data Analysis and Feature Extractionmentioning

confidence: 99%

“…Several EEG decoding studies aim to investigate global neural correlates of human motor behavior by quantifying motor learning performance with measures of adaptation or learning rates [21][22][23][24]. However, the significant dissociation between motor skill and motor learning performance, where skill shapes movements and motor control during learning [25], [26], is yet to be explored.…”

Section: Introductionmentioning

confidence: 99%

Neural Signatures of Motor Skill in the Resting Brain

Özdenizci

Meyer

Wichmann

et al. 2019

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

View full text Add to dashboard Cite

Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative of motor behavior in the resting brain would provide significant insights for current neurorehabilitation approaches. Particularly, we aim to investigate the global configuration of brain rhythms and their relation to motor skill, instead of learning performance as broadly studied. We empirically approach this problem by conducting a three-dimensional physical space visuomotor learning experiment during electroencephalographic (EEG) data recordings with thirty-seven healthy participants. We demonstrate that across-subjects variations in average movement smoothness as the quantified measure of subjects' motor skills can be predicted from the global configuration of resting-state EEG alpha-rhythms (8-14 Hz) recorded prior to the experiment. Importantly, this neural signature of motor skill was found to be orthogonal to (independent of) task-as well as to learning-related changes in alpha-rhythms, which we interpret as an organizing principle of the brain. We argue that disturbances of such configurations in the brain may contribute to motor deficits in stroke, and that reconfiguring stroke patients' brain rhythms by neurofeedback may enhance post-stroke neurorehabilitation.

show abstract

Resting-state connectivity predicts visuo-motor skill learning

Cited by 39 publications

References 99 publications

Off‐line effects of alpha‐frequency transcranial alternating current stimulation on a visuomotor learning task

Off‐line effects of alpha‐frequency transcranial alternating current stimulation on a visuomotor learning task

Electrical Brain Activity and Its Functional Connectivity in the Physical Execution of Modern Jazz Dance

Neural Signatures of Motor Skill in the Resting Brain

Contact Info

Product

Resources

About