Oscillatory interactions between sensorimotor cortex and the periphery

Baker, Stuart N.

doi:10.1016/j.conb.2008.01.007

Cited by 483 publications

(420 citation statements)

References 45 publications

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“…Notably, the beta oscillations appear to be at a frequency which is 508 twice the alpha components, thus producing the arch--shaped µ rhythm. This is in line with a 509 concomitant modulation of the alpha and beta bands recorded over somato--sensory regions 510 by (Baker, 2007;Gilbertson et al, 2005), proposed that beta band oscillations is not purely an 519 "idling" rhythm, but bolster an active process that promotes the ongoing motor set and other 520 processes beyond the domain of motor control. 521…”

Section: Different Spectral Signatures and Dynamics Of Exe And Obs 498mentioning

confidence: 70%

Being an agent or an observer: Different spectral dynamics revealed by MEG

et al. 2014

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14Several neuroimaging studies reported that a common set of regions are recruited during 15 action observation and execution and it has been proposed that the modulation of the µ rhythm, 16 in terms of oscillations in the alpha and beta bands might represent the electrophysiological 17 correlate of the underlying brain mechanisms. However, the specific functional role of these bands 18 within the µ rhythm is still unclear. Here, we used magnetoencephalography (MEG) to analyze the 19 spectral and temporal properties of the alpha and beta bands in healthy subjects during an action 20 observation and execution task. 21We associated the modulation of the alpha and beta power to a broad action observation 22 network comprising several parieto--frontal areas previously detected in fMRI studies. Of note, we 23 observed a dissociation between alpha and beta bands with a slow--down of beta oscillations 24 ACCEPTED FOR PUBLICATION -NEUROIMAGE2 compared to alpha during action observation. We hypothesize that this segregation is linked to a 25 different sequence of information processing and we interpret these modulations in terms of 26 internal models (forward and inverse). In fact, these processes showed opposite temporal 27 sequences of occurrence: anterior--posterior during action (both in alpha and beta bands) and 28 roughly posterior--anterior during observation (in the alpha band). The observed differentiation 29 between alpha and beta suggests that these two bands might pursue different functions in the 30 action observation and execution processes. 32Keywords: action observation and execution, alpha and beta rhythms, Event--Related 33Desynchronization (ERD), magnetoencephalography (MEG), internal models 34 35 36 INTRODUCTION 37Several studies report that our sensorimotor system is activated when we observe an 38 action performed by other people. This putative mirror--like activity in humans was found in the 39 precentral gyrus (vPM), the inferior frontal gyrus (IFG), the inferior parietal lobule (IPL), and 40 regions within the intraparietal sulcus (for a review see Rizzolatti and Sinigaglia, 2010). In addition 41 to this limited number of regions, neuroimaging studies observed a broader action observation 42 network (AON) which seems to be involved during action observation (OBS) and execution (EXE) 43 (Avenanti et al., 2012;Buccino et al., 2004;Gazzola and Keysers, 2009). A proposed theoretical 44 framework postulates that such AON implements forward and inverse internal models (Wolpert 45 and Ghahramani, 2000), which should be engaged during EXE and OBS. The internal models can 46 account both for how we link our actions to sensory consequences and how others' actions match 47 our own actions and sensations (Gazzola and Keysers, 2009;Iacoboni, 2005). It has been proposed 48 that the fronto--parietal AON has a predictive nature and according to this hypothesis, during 49 action observation the inverse and forward models are integrated to achieve a prediction of 50 ACCEPTED FOR PUBLICATION -NEUROIMA...

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Section: Different Spectral Signatures and Dynamics Of Exe And Obs 498mentioning

confidence: 70%

Being an agent or an observer: Different spectral dynamics revealed by MEG

et al. 2014

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“…Corticomuscular beta-band coherence is most prominent during tonic muscle contractions and disappears during movement (Baker et al, 1997;Riddle and Baker, 2006;Kilner et al, 2000;Baker et al, 1999) and beta-band activity is enhanced when higher precision is required Kristeva-Feige et al, 2002;Witte et al, 2007;Gilbertson et al, 2005). These findings suggest that the beta-band activity is related to a mechanism that maintains the current sensorimotor state (Baker, 2007;Engel and Fries, 2010;Van Wijk et al, 2012).…”

Section: Introductionmentioning

confidence: 88%

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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“…2C); this may allow these frequencies to pass uncanceled to motoneurons. Corticomuscular coherence is commonly observed within this range, and may have a role in sensorimotor processing (41).…”

Section: Spinal Contribution To Production and Reduction Of Discontinmentioning

confidence: 99%

Spinal interneuron circuits reduce approximately 10-Hz movement discontinuities by phase cancellation

Williams

Soteropoulos

Baker

2010

Proc. Natl. Acad. Sci. U.S.A.

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Tremor imposes an important limit to the accuracy of fine movements in healthy individuals and can be a disabling feature of neurological disease. Voluntary slow finger movements are not smooth but are characterized by large discontinuities (i.e., steps) in the tremor frequency range (approximately 10 Hz). Previous studies have shown that these discontinuities are coherent with activity in the primary motor cortex (M1), but that other brain areas are probably also involved. We investigated the contribution of three important subcortical areas in two macaque monkeys trained to perform slow finger movements. Local field potential and singleunit activity were recorded from the deep cerebellar nuclei (DCN), medial pontomedullary reticular formation, and the intermediate zone of the spinal cord (SC). Coherence between LFP and acceleration was significant at 6 to 13 Hz for all areas, confirming the highly distributed nature of the central network responsible for this activity. The coherence phase at 6 to 13 Hz for DCN and pontomedullary reticular formation was similar to our previous results in M1. By contrast, for SC the phase differed from M1 by approximately π rad. Examination of single-unit discharge confirmed that this was a genuine difference in neural spiking and could not be explained by different properties of the local field potential. Convergence of antiphase oscillations from the SC with cortical and subcortical descending inputs will lead to cancellation of approximately 10 Hz oscillations at the motoneuronal level. This could appreciably limit drive to muscle at this frequency, thereby reducing tremor and improving movement precision.T remor is a key limitation to human fine motor performance.However, in tremor research, the puzzle is not so much why our hands shake, but why they often do not. Numerous mechanisms can contribute to unstable contraction: motoneurons are recruited at a fixed frequency, limb segments have mechanical resonance, the monosynaptic stretch reflex arc can produce feedback oscillations, and there are a plethora of central neural oscillators. These factors often converge to produce mechanical oscillations at approximately 10 Hz, the dominant frequency of physiological tremor. Yet despite these multiple sources of instability, in most people, most of the time, tremor is small enough not to impact daily life. We have hypothesized that a specific neural system might have evolved to reduce tremor (1), with clear survival advantages.Slow finger movements in man are characterized by steps or discontinuities that occur at approximately 10 Hz (2). These discontinuities provide a good model for studying tremor, as even though they occur within the same frequency range, they are an order of magnitude bigger (2), facilitating quantitative analysis. Work on both physiological tremor and slow finger movement discontinuities has shown that there is an approximately 10

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Oscillatory interactions between sensorimotor cortex and the periphery

Cited by 483 publications

References 45 publications

Being an agent or an observer: Different spectral dynamics revealed by MEG

Being an agent or an observer: Different spectral dynamics revealed by MEG

The reorganization of corticomuscular coherence during a transition between sensorimotor states

Spinal interneuron circuits reduce approximately 10-Hz movement discontinuities by phase cancellation

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