Literature DB >> 16730460

BOLD correlates of EMG spectral density in cortical myoclonus: description of method and case report.

Mark P Richardson1, Pascal Grosse, Philip J Allen, Robert Turner, Peter Brown.   

Abstract

The recording of electrophysiological data during BOLD fMRI is highly challenging but provides the opportunity to develop a more thorough account of brain function than either modality alone. To develop new techniques in this area has often required the study of pathological electrophysiological measures because such measures can be unusually strong (e.g., epileptic EEG spikes) and hence more easily detectable during fMRI than weaker normal phenomena. In this paper, we have studied pathologically strong EMG signals in a patient with cortical myoclonus. First, we studied the patient outside of scanning: The pathological corticospinal drive to muscle was concentrated over 6-30 Hz so that EMG components at higher frequency could be used to control for non-corticospinal contributions to the EMG during scanning. Additionally, there was very strong EMG-EMG and EMG-EEG coherence in this frequency band. Furthermore, analysis of spectral phase showed that this exaggerated coherence was produced by efferent drive from brain to muscle. Hence, the exaggerated peak in distal muscle EMG power spectrum reflected brain activity producing the efferent drive. Subsequently, we modified equipment and data analysis techniques previously developed for simultaneous EEG-fMRI to record polychannel EMG from distal upper limbs during simultaneous BOLD fMRI. After artefact reduction, the EMG recorded during fMRI retained the essential frequency and phase characteristics of EMG recorded outside of scanning. The BOLD signal was significantly correlated with time-varying 6- to 30-Hz power in a frontoparietal network compatible with the neurophysiological characteristics of our patient and compatible with prior hypotheses explaining the origin of cortical myoclonus.

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Year:  2006        PMID: 16730460     DOI: 10.1016/j.neuroimage.2006.04.183

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Techniques and applications of EMG: measuring motor units from structure to function.

Authors:  Rachel C Thornton; Andrew W Michell
Journal:  J Neurol       Date:  2012-01-25       Impact factor: 4.849

2.  Increased voluntary drive is associated with changes in common oscillations from 13 to 60 Hz of interference but not rectified electromyography.

Authors:  Osmar P Neto; Harsimran S Baweja; Evangelos A Christou
Journal:  Muscle Nerve       Date:  2010-09       Impact factor: 3.217

3.  Rectification of the EMG signal impairs the identification of oscillatory input to the muscle.

Authors:  Osmar Pinto Neto; Evangelos A Christou
Journal:  J Neurophysiol       Date:  2009-12-23       Impact factor: 2.714

4.  Simultaneous EMG-functional MRI recordings can directly relate hyperkinetic movements to brain activity.

Authors:  Anne-Fleur van Rootselaar; Natasha M Maurits; Remco Renken; Johannes H T M Koelman; Johannes M Hoogduin; Klaus L Leenders; Marina A J Tijssen
Journal:  Hum Brain Mapp       Date:  2008-12       Impact factor: 5.038

5.  Is there a role for combined EMG-fMRI in exploring the pathophysiology of essential tremor and improving functional neurosurgery?

Authors:  Maria Fiorella Contarino; Paul F C Groot; Johan N van der Meer; Lo J Bour; Johannes D Speelman; Aart J Nederveen; Pepijn van den Munckhof; Marina A J Tijssen; Peter Rick Schuurman; Anne-Fleur van Rootselaar
Journal:  PLoS One       Date:  2012-10-01       Impact factor: 3.240

6.  Abnormal thalamocortical structural and functional connectivity in juvenile myoclonic epilepsy.

Authors:  Jonathan O'Muircheartaigh; Christian Vollmar; Gareth J Barker; Veena Kumari; Mark R Symms; Pam Thompson; John S Duncan; Matthias J Koepp; Mark P Richardson
Journal:  Brain       Date:  2012-12       Impact factor: 13.501

  6 in total

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