Primary motor cortex and cerebellum are coupled with the kinematics of observed hand movements

Bourguignon, Mathieu; Tiège, Xavier De; Beeck, Marc Op De; Bogaert, Patrick Van; Goldman, Serge; Jousmäki, Veikko; Hari, Riitta

doi:10.1016/j.neuroimage.2012.10.038

Cited by 39 publications

(40 citation statements)

References 59 publications

(89 reference statements)

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“…Our findings complement a growing body of evidence stemming from MEG studies in support for the sensitivity of MEG sensors to deeper structures, such as the cerebellum or the cingulum [Bourguignon et al, ; Martin et al, ]. An advantage of recent studies might be the focus on the analysis of oscillations, in particular, high‐frequency oscillations (above 30Hz), which facilitates the localization of sources in the cerebellum (E/MEG) [Dalal et al, ].…”

Section: Discussionsupporting

confidence: 77%

Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory‐motor sequences

Ruiz

Maess

Altenmüller

et al. 2017

Human Brain Mapping

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Singing, music performance, and speech rely on the retrieval of complex sounds, which are generated by the corresponding actions and are organized into sequences. It is crucial in these forms of behavior that the serial organization (i.e., order) of both the actions and associated sounds be monitored and learned. To investigate the neural processes involved in the monitoring of serial order during the initial learning of sensorimotor sequences, we performed magnetoencephalographic recordings while participants explicitly learned short piano sequences under the effect of occasional alterations of auditory feedback (AAF). The main result was a prominent and selective modulation of beta (13-30 Hz) oscillations in cingulate and cerebellar regions during the processing of AAF that simulated serial order errors. Furthermore, the AAF-induced modulation of beta oscillations was associated with higher error rates, reflecting compensatory changes in sequence planning. This suggests that cingulate and cerebellar beta oscillations play a role in tracking serial order during initial sensorimotor learning and in updating the mapping of the sensorimotor representations. The findings support the notion that the modulation of beta oscillations is a candidate mechanism for the integration of sequential motor and auditory information during an early stage of skill acquisition in music performance. This has potential implications for singing and speech. Hum Brain Mapp 38:5161-5179, 2017. © 2017 Wiley Periodicals, Inc.

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Section: Discussionsupporting

confidence: 77%

Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory‐motor sequences

Ruiz

Maess

Altenmüller

et al. 2017

Human Brain Mapping

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“…However, in our view, good practice is to present the data as observed and let the findings be confirmed (or not) by future work. We should point out that the number of MEG papers reporting cerebellar activity is growing (Bourguignon et al, 2013; Bourguignon et al, 2012; Dalal et al, 2008; Dalal et al, 2007; Krause et al, 2010; Maratos et al, 2007; Pollok et al, 2008; Pollok et al, 2009; Soto and Jerbi, 2012; Timmermann et al, 2003; Wilson et al., 2010; Wilson et al, 2011; Wilson et al, 2009). …”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal oscillatory dynamics during the encoding and maintenance phases of a visual working memory task

Heinrichs‐Graham

Wilson

2015

Cortex

111

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Many electrophysiology studies have examined neural oscillatory activity during the encoding, maintenance, and/or retrieval phases of various working memory tasks. Together, these studies have helped illuminate the underlying neural dynamics, although much remains to be discovered and some findings have not replicated in subsequent work. In this study, we examined the oscillatory dynamics that serve visual working memory operations using high-density magnetoencephalography (MEG) and advanced time-frequency and beamforming methodology. Specifically, we recorded healthy adults while they performed a high-load, Sternberg-type working memory task, and focused on the encoding and maintenance phases. We found significant 9–16 Hz desynchronizations in the bilateral occipital cortices, left dorsolateral prefrontal cortex (DLPFC), and left superior temporal areas throughout the encoding phase. Our analysis of the dynamics showed that the left DLPFC and superior temporal desynchronization became stronger as a function of time during the encoding period, and was sustained throughout most of the maintenance phase until sharply decreasing in the milliseconds preceding retrieval. In contrast, desynchronization in occipital areas became weaker as a function of time during encoding and eventually evolved into a strong synchronization during the maintenance period, consistent with previous studies. These results provide clear evidence of dynamic network-level processes during the encoding and maintenance phases of working memory, and support the notion of a dynamic pattern of functionally-discrete subprocesses within each working memory phase. The presence of such dynamic oscillatory networks may be a potential source of inconsistent findings in this literature, as neural activity within these networks changes dramatically with time.

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“…A similar decomposition was applied to the empty room data, defining measurement noise

normalF ɛ true(f true)

(

M \times T

with

T \approx 490

). Subsequent analysis was limited to movement frequency

f_{0} = 2 Hz

and its first harmonic

f_{1} = 4 Hz

, which were singled out by CKC spectra [Bourguignon et al, ]. Data and noise

M \times M

cross‐density matrices were estimated at

f = f_{0}

and

f = f_{1}

using

{bold-italicC}_{μ} true(f true) = normalF μ (|, f) normalF μ {(|, f)}^{†} / T

and

{bold-italicC}_{ɛ} true(f true) = normalF ɛ (|, f) normalF ɛ {(|, f)}^{†} / T

.…”

Section: Methodsmentioning

confidence: 99%

“…This dataset investigates the corticokinematic coherence (CKC) phenomenon [Bourguignon et al, , 2012[Bourguignon et al, , 2013; the hand movement being here auditorily paced. Ten healthy adult subjects (4 females and 6 males, mean age: 31 years, age range: 24-40 years) took part in this study approved by the ULB-Hôpital Erasme Ethics Committee.…”

Section: Auditory-motor Networkmentioning

confidence: 99%

A geometric correction scheme for spatial leakage effects in MEG/EEG seed‐based functional connectivity mapping

Wens

Marty

Mary

et al. 2015

Human Brain Mapping

Self Cite

106

132

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Spatial leakage effects are particularly confounding for seed-based investigations of brain networks using source-level electroencephalography (EEG) or magnetoencephalography (MEG). Various methods designed to avoid this issue have been introduced but are limited to particular assumptions about its temporal characteristics. Here, we investigate the usefulness of a model-based geometric correction scheme (GCS) to suppress spatial leakage emanating from the seed location. We analyze its properties theoretically and then assess potential advantages and limitations with simulated and experimental MEG data (resting state and auditory-motor task). To do so, we apply Minimum Norm Estimation (MNE) for source reconstruction and use variation of error parameters, statistical gauging of spatial leakage correction and comparison with signal orthogonalization. Results show that the GCS has a local (i.e., near the seed) effect only, in line with the geometry of MNE spatial leakage, and is able to map spatially all types of brain interactions, including linear correlations eliminated after signal orthogonalization. Furthermore, it is robust against the introduction of forward model errors. On the other hand, the GCS can be affected by local overcorrection effects and seed mislocation. These issues arise with signal orthogonalization too, although significantly less extensively, so the two approaches complement each other. The GCS thus appears to be a valuable addition to the spatial leakage correction toolkits for seed-based FC analyses in source-projected MEG/EEG data.

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Primary motor cortex and cerebellum are coupled with the kinematics of observed hand movements

Cited by 39 publications

References 59 publications

Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory‐motor sequences

Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory‐motor sequences

Spatiotemporal oscillatory dynamics during the encoding and maintenance phases of a visual working memory task

A geometric correction scheme for spatial leakage effects in MEG/EEG seed‐based functional connectivity mapping

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