Motor imagery activates primary sensorimotor area in humans

Pfurtscheller, Gert; Neuper, Christa

doi:10.1016/s0304-3940(97)00889-6

Cited by 904 publications

(612 citation statements)

References 19 publications

Supporting

Mentioning

558

Contrasting

Unclassified

Order By: Relevance

“…Our motor imagery results follow classical electrophysiological responses over sensorimotor cortex (Pfurtscheller and Neuper, 1997;Neuper et al, 2006). These are characterized by contralateral mu-and beta-band desynchronization (suppression) and ipsilateral mu-and beta-band synchronization (enhancement) and were found here at both the level of single electrode and cluster analyses.…”

Section: Shared Spectral and Anatomical Mechanisms Between Motor Imagsupporting

confidence: 83%

“…However, motor imagery was characterized by contralateral mu-and beta-band desynchronization in fronto-parietal cortex (suppression; i.e. Pfurtscheller and Neuper, 1997;Pfurtscheller et al, 1997b), whereas our illusory hand ownership manipulation was characterized by mu-band desynchronization, especially in the right fronto-parietal cortex, that was body-specific and depended on visuo-tactile stimulation. These frequency data suggest that hand motor imagery and illusory hand ownership rely on similar electrophysiological mechanisms in fronto-parietal cortex, while partly differing in their spectral signatures.…”

Section: Shared Spectral and Anatomical Mechanisms Between Motor Imagmentioning

confidence: 91%

“…Motor imagery has been shown to exhibit lateralized effects over sensorimotor cortex, particularly in the mu-and beta-bands (Pfurtscheller and Neuper, 1997), and also in the gamma band (Miller et al, 2010;Pfurtscheller and Neuper, 2001). To verify whether our paradigm and experimental setup using automated stroking and virtual reality was also associated with these EEG changes, we analyzed LPRs in mu, beta, and gamma bands over left and right sensorimotor scalp regions (at the Table 1 Significant electrodes used in whole-scalp cluster analyses.…”

Section: Motor Imagerymentioning

confidence: 99%

“…Using single trace (electrodes C3, C4), cluster, and source localization analyses, we next studied whether mu, beta and gamma-band power yields contralateral suppression (event-related desynchronization) and ipsilateral enhancement (event-related synchronization) during lateralized motor imagery tasks (Pfurtscheller and Neuper, 1997;Pfurtscheller et al, 1997b) and how this compares to the observed changes in illusory hand ownership. For this, we applied a 2×2 repeated-measures ANOVA with the factors Imagery (left or right imagery) and Electrode side (left or right hemisphere).…”

Section: Motor Imagery Of Handsmentioning

confidence: 99%

“…Additionally, both intracranial electrophysiology (Gastaut and Bert, 1954;Mukamel et al, 2010;Tremblay et al, 2004) and surface EEG (Cochin et al, 1999(Cochin et al, , 1998 consistently show comparable mu rhythm suppression during both the execution and the observation of different movements. Mu oscillations have also been investigated with respect to motor imagery (review in Neuper et al, 2006) and have been linked to mu suppression in parietal cortex, premotor, and primary sensorimotor areas (Pfurtscheller and Neuper, 1997;Pfurtscheller et al, 1997a). These oscillations during hand motor imagery have also been decoded online in non-invasive brain-computer interfaces (Pfurtscheller et al, 1997b).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Shared electrophysiology mechanisms of body ownership and motor imagery

Evans

Blanke

2013

NeuroImage

View full text Add to dashboard Cite

Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may be useful for neuroprosthetics and brain-computer interfaces. Despite the vast amount of behavioral data on illusory hand ownership, neuroimaging studies are rare, in particular electrophysiological studies. Thus, while the neural systems underlying hand ownership are relatively well described, the spectral signatures of body ownership as measured by electroencephalography (EEG) remain elusive. Here we induced illusory hand ownership in an automated, computer-controlled manner using virtual reality while recording 64-channel EEG and found that illusory hand ownership is reflected by a body-specific modulation in the mu-band over fronto-parietal cortex. In a second experiment in the same subjects, we then show that mu as well as beta-band activity in highly similar fronto-parietal regions was also modulated during a motor imagery task often used in paradigms employing non-invasive brain-computer interface technology. These data provide insights into the electrophysiological brain mechanisms of illusory hand ownership and their strongly overlapping mechanisms with motor imagery in fronto-parietal cortex. They also highlight the potential of combining high-resolution EEG with virtual reality setups and automatized stimulation protocols for systematic, reproducible stimulus presentation in cognitive neuroscience, and may inform the design of non-invasive brain-computer interfaces.

show abstract

Section: Shared Spectral and Anatomical Mechanisms Between Motor Imagsupporting

confidence: 83%

Section: Shared Spectral and Anatomical Mechanisms Between Motor Imagmentioning

confidence: 91%

Section: Motor Imagerymentioning

confidence: 99%

Section: Motor Imagery Of Handsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Shared electrophysiology mechanisms of body ownership and motor imagery

Evans

Blanke

2013

NeuroImage

View full text Add to dashboard Cite

show abstract

Atypical Activation of Laryngeal Somatosensory-Motor Cortex During Vocalization in People With Unexplained Chronic Cough

Misono,

Xu,

et al. 2023

JAMA Otolaryngol Head Neck Surg

View full text Add to dashboard Cite

ImportanceUnexplained chronic cough is common and has substantial negative quality-of-life implications, yet its causes are not well understood. A better understanding of how peripheral and central neural processes contribute to chronic cough is essential for treatment design.ObjectiveTo determine if people with chronic cough exhibit signs of abnormal neural processing over laryngeal sensorimotor cortex during voluntary laryngeal motor activity such as vocalization.Design, Setting, and ParticipantsThis was a cross-sectional study of a convenience sample of participants with chronic cough and healthy participants. Testing was performed in an acoustically and electromagnetically shielded chamber. In a single visit, electroencephalographic (EEG) signals were recorded from participants with chronic cough and healthy participants during voice production. The chronic cough group participants presented with unexplained cough of 8 weeks or longer duration with prior medical evaluation including negative results of chest imaging. None of the participants had a history of any neurologic disease known to impair vocalization or swallowing. Data collection for the healthy control group occurred from February 2 to June 28, 2018, and for the chronic cough group, from November 22, 2021, to June 21, 2022. Data analysis was performed from May 1 to October 30, 2022.ExposureParticipants with or without chronic cough.Main Outcome MeasuresEvent-related spectral perturbation over the laryngeal area of somatosensory-motor cortex from 0 to 30 Hz (ie, θ, α, and β bands) and event-related coherence as a measure of synchronous activity between somatosensory and motor cortical regions.ResultsThe chronic cough group comprised 13 participants with chronic cough (mean [SD] age, 63.5 [7.8] years; 9 women and 4 men) and the control group, 10 healthy age-matched individuals (mean [SD] age, 60.3 [13.9] years; 6 women and 4 men). In the chronic cough group, the typical movement-related desynchronization over somatosensory-motor cortex during vocalization was significantly reduced across θ, α, and β frequency bands when compared with the control group.Conclusions and RelevanceThis cross-sectional study found that the typical movement-related suppression of brain oscillatory activity during vocalization is weak or absent in people with chronic cough. Thus, chronic cough affects sensorimotor cortical activity during the asymptomatic voluntary activation of laryngeal muscles.

show abstract

Case 2 – Imagery Assessment and Training with QEEG

Wilson¹,

Shaw²

2011

Case Studies in Applied Psychophysiology

View full text Add to dashboard Cite

Motor imagery activates primary sensorimotor area in humans

Cited by 904 publications

References 19 publications

Shared electrophysiology mechanisms of body ownership and motor imagery

Shared electrophysiology mechanisms of body ownership and motor imagery

Atypical Activation of Laryngeal Somatosensory-Motor Cortex During Vocalization in People With Unexplained Chronic Cough

Case 2 – Imagery Assessment and Training with QEEG

Contact Info

Product

Resources

About