Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

Maezawa, Hitoshi; Mima, Tatsuya; Yazawa, Shogo; Matsuhashi, Masao; Shiraishi, Hiroaki; Funahashi, Makoto

doi:10.1016/j.neuroimage.2015.12.058

Cited by 17 publications

(20 citation statements)

References 51 publications

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“…Additionally, CMC within the low-frequency band (low-CMC; 2–10 Hz) was consistently detected in subjects of our previous studies (Figure 5; Maezawa et al, 2014b, 2016a), even though low-CMC was not consistently observed during finger contraction in earlier studies (Conway et al, 1995; Mima and Hallett, 1999). Time-domain analyses revealed that the MEG signal followed the EMG signal for low-CMC, but preceded the EMG signal for β-CMC.…”

Section: The Physiology Of Tongue Sensorimotor Processingsupporting

confidence: 55%

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Cortical Mechanisms of Tongue Sensorimotor Functions in Humans: A Review of the Magnetoencephalography Approach

Maezawa

2017

Front. Hum. Neurosci.

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The tongue plays important roles in a variety of critical human oral functions, including speech production, swallowing, mastication and respiration. These sophisticated tongue movements are in part finely regulated by cortical entrainment. Many studies have examined sensorimotor processing in the limbs using magnetoencephalography (MEG), which has high spatiotemporal resolution. Such studies have employed multiple methods of analysis, including somatosensory evoked fields (SEFs), movement-related cortical fields (MRCFs), event-related desynchronization/synchronization (ERD/ERS) associated with somatosensory stimulation or movement and cortico-muscular coherence (CMC) during sustained movement. However, the cortical mechanisms underlying the sensorimotor functions of the tongue remain unclear, as contamination artifacts induced by stimulation and/or muscle activity within the orofacial region complicates MEG analysis in the oral region. Recently, several studies have obtained MEG recordings from the tongue region using improved stimulation methods and movement tasks. In the present review, we provide a detailed overview of tongue sensorimotor processing in humans, based on the findings of recent MEG studies. In addition, we review the clinical applications of MEG for sensory disturbances of the tongue caused by damage to the lingual nerve. Increased knowledge of the physiological and pathophysiological mechanisms underlying tongue sensorimotor processing may improve our understanding of the cortical entrainment of human oral functions.

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Section: The Physiology Of Tongue Sensorimotor Processingsupporting

confidence: 55%

“…* P < 0.05; Con, Contralateral hemisphere; Ipsi, Ipsilateral hemisphere. Images modified with permission from Maezawa et al (2016a). Graph reproduced with permission from Maezawa et al (2014b).…”

Section: The Physiology Of Tongue Sensorimotor Processingmentioning

confidence: 99%

Cortical Mechanisms of Tongue Sensorimotor Functions in Humans: A Review of the Magnetoencephalography Approach

Maezawa

2017

Front. Hum. Neurosci.

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“…Thus, given that the MEF may reflect the same component as the reafferent potential observed in the subdural recordings, the observed tongue MEFs over both hemispheres in our study may indicate that the proprioceptive feedback information is processed from the muscle spindles of the tongue to bilateral S1 during tongue protrusion. In fact, our recent study using CMC analyses suggested that the CMC at the low frequency band may be driven by proprioceptive afferents from the tongue muscles to bilateral S1 (Maezawa et al, 2016c). Especially, since the muscle spindles of the tongue are highly developed in humans compared to those in other primates, such sensory processing over both hemispheres may play an important role in the fine-tuning of tongue movements.…”

Section: Discussionmentioning

confidence: 97%

Movement-related cortical magnetic fields associated with self-paced tongue protrusion in humans

Maezawa

Oguma

Hirai

et al. 2017

Neuroscience Research

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Sophisticated tongue movements are coordinated finely via cortical control. We elucidated the cortical processes associated with voluntary tongue movement. Movement-related cortical fields were investigated during self-paced repetitive tongue protrusion. Surface tongue electromyograms were recorded to determine movement onset. To identify the location of the primary somatosensory cortex (S1), tongue somatosensory evoked fields were measured. The readiness fields (RFs) over both hemispheres began prior to movement onset and culminated in the motor fields (MFs) around movement onset. These signals were followed by transient movement evoked fields (MEFs) after movement onset. The MF and MEF peak latencies and magnitudes were not different between the hemispheres. The MF current sources were located in the precentral gyrus, suggesting they were located in the primary motor cortex (M1); this was contrary to the MEF sources, which were located in S1. We conclude that the RFs and MFs mainly reflect the cortical processes for the preparation and execution of tongue movement in the bilateral M1, without hemispheric dominance. Moreover, the MEFs may represent proprioceptive feedback from the tongue to bilateral S1. Such cortical processing related to the efferent and afferent information may aid in the coordination of sophisticated tongue movements.

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“…We used the single-ECD model to estimate the cortical origin of C1 from MEG signals, using the xfit tool (Elekta Neuromag Oy). We chose the single-ECD model because it is an adequate method for the localization of the magnetic field generated by a single localized source, such as in the context of early sensory or motor evoked responses (Salmelin and Hari, 1994;Di Russo et al, 2002;Parkkonen et al, 2009;Maezawa et al, 2016), as compared with methods better suited to distributed cortical responses (e.g., minimum norm estimates methods; Hämäläinen and Ilmoniemi, 1994). We selected 60 channels at 20 locations (a magnetometer and two gradiometers at each location) for performing the single-ECD analysis.…”

Section: Meg Data Analysismentioning

confidence: 99%

Predicting Neural Response Latency of the Human Early Visual Cortex from MRI-Based Tissue Measurements of the Optic Radiation

Takemura

Yuasa

Amano

2020

eNeuro

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Although the non-invasive measurement of visually evoked responses has been extensively studied, the structural basis of variabilities in latency in healthy humans is not well understood. We investigated how tissue properties of optic radiation could predict interindividual variability in the latency of the initial visually evoked component (C1), which may originate from the primary visual cortex (V1). We collected C1 peak latency data using magnetoencephalography (MEG) and checkerboard stimuli, and multiple structural magnetic resonance imaging (MRI) data from 20 healthy subjects. While we varied the contrast and position of the stimuli, the C1 measurement was most reliable when high-contrast stimuli were presented to the lower visual field (LVF). We then attempted to predict interindividual variability in C1 peak latency in this stimulus condition with a multiple regression model using MRI parameters along the optic radiation. We found that this model could predict .20% of variance in C1 latency, when the data were averaged across the hemispheres. The model using the corticospinal tract did not predict variability in C1 latency, suggesting that there is no evidence for generalization to a non-visual tract. In conclusion, our results suggest that the variability in neural latencies in the early visual cortex in healthy subjects can be partly explained by tissue properties along the optic radiation. We discuss the challenges of predicting neural latency using current structural neuroimaging methods and other factors that may explain interindividual variance in neural latency.

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Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

Cited by 17 publications

References 51 publications

Cortical Mechanisms of Tongue Sensorimotor Functions in Humans: A Review of the Magnetoencephalography Approach

Cortical Mechanisms of Tongue Sensorimotor Functions in Humans: A Review of the Magnetoencephalography Approach

Movement-related cortical magnetic fields associated with self-paced tongue protrusion in humans

Predicting Neural Response Latency of the Human Early Visual Cortex from MRI-Based Tissue Measurements of the Optic Radiation

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