Multi-frequency phase locking in human somatosensory cortex

Langdon, Angela J.; Boonstra, Tjeerd W.; Breakspear, Michael

doi:10.1016/j.pbiomolbio.2010.09.015

Cited by 53 publications

(61 citation statements)

References 56 publications

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“…Partial least squares (PLS) regression is a statistical tool that finds a linear regression model by projecting the independent and dependent variables to a new space that is rank ordered by the percent covariance explained. That is, PLS decomposes the original data into orthogonal modes that account for that part of the covariance structure that correlates with a specified design matrix (Geladi and Kowalski, 1986;McIntosh and Lobaugh, 2004;Langdon et al, 2011;Krishnan et al, 2011) (see also Eqs.(4a-c)). Here we use a design contrast as independent variable.…”

Section: Discussionmentioning

confidence: 99%

“…To determine which of the PLS components are statistically significant, we generated surrogate data using permutation testing (McIntosh and Lobaugh, 2004;Langdon et al, 2011). For each subject, we randomly permuted the connectivity arrays for pre-and post-training before regressing the data against the contrast to obtain subject-level surrogate data.…”

Section: Discussionmentioning

confidence: 99%

“…The significance of the ensuing network edges and their spectral contents was then examined using bootstrapping (McIntosh and Lobaugh, 2004;Langdon et al, 2011). Bootstrapping was performed by randomly permuting the labels of the trials across conditions (pre-and post-training).…”

Section: Discussionmentioning

confidence: 99%

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Upregulation of cortico-cerebellar functional connectivity after motor learning

et al. 2016

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Interactions between the cerebellum and primary motor cortex are crucial for the acquisition of new motor skills. Recent neuroimaging studies indicate that learning motor skills is associated with subsequent modulation of resting-state functional connectivity in the cerebellar and cerebral cortices. The neuronal processes underlying the motor-learning induced plasticity are not well understood. Here, we investigate changes in functional connectivity in source-reconstructed electroencephalography (EEG) following the performance of a single session of a dynamic force task in twenty young adults. Source activity was reconstructed in 112 regions of interest (ROIs) and the functional connectivity between all ROIs was estimated using imaginary part of the coherence. Significant changes in resting-state connectivity were assessed using partial least squares (PLS). We found that subjects adapted their motor performance during the training session and showed improved accuracy but with slower movement times. A number of connections were significantly upregulated after motor training, principally involving connections within the cerebellum and between the cerebellum and motor cortex. Increased connectivity was confined to specific frequency ranges in the mu and beta bands. Post-hoc analysis of the phase spectra of these cerebellar and corticocerebellar connections revealed an increased phase-lag between motor cortical and cerebellar activity following motor practice. These findings show a reorganization of intrinsic corticocerebellar connectivity related to motor adaption and demonstrate the potential of EEG connectivity analysis in source-space to reveal the neuronal processes that underpin neural plasticity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Upregulation of cortico-cerebellar functional connectivity after motor learning

et al. 2016

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“…The phase locking was not accompanied by power changes at stimulated frequencies. The responses we found at specific non-stimulus frequencies suggest that the phase locked oscillations described by Langdon et al (2011) may also occur in an active motor task. Using a linear analysis technique, such as coherence, it is not possible to separate these non-linear responses to the perturbation from the intrinsic mechanisms generating unperturbed beta-band CMC.…”

Section: Origin Of Coherence At Stimulus and Non-stimulus Frequenciesmentioning

confidence: 52%

“…However, as the neuromuscular system is highly non-linear, CMC at these frequencies may also be a sign of non-linear responses to the perturbation. In a recent study, Langdon et al (2011) presented such nonlinear responses of the somatosensory system. Neural oscillations, recorded using EEG, phase locked to a single frequency vibrotactile stimulation, not only on the frequency of the stimulation but also on higher harmonics: n : m phase locking.…”

Section: Origin Of Coherence At Stimulus and Non-stimulus Frequenciesmentioning

confidence: 99%

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

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Allophonic perception of VOT contrasts in Spanish children with dyslexia

et al. 2021

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Developmental dyslexia is a disorder in which the ability to decipher written language is impaired despite the absence of other cognitive or sensory impairments (Peterson & Pennington, 2012). Dyslexia has a genetic basis, but the epigenetic factors that determine its expression remain under investigation. Various factors have been suspected to cause dyslexia, and most of these factors are related to deficits in one of the three components of written language: phonology, visual information, and phonovisual information (Serniclaes

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Multi-frequency phase locking in human somatosensory cortex

Cited by 53 publications

References 56 publications

Upregulation of cortico-cerebellar functional connectivity after motor learning

Upregulation of cortico-cerebellar functional connectivity after motor learning

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

Allophonic perception of VOT contrasts in Spanish children with dyslexia

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