Electrophysiology Testing of Movement Disorders

2016 ◽  
pp. 707-729
Author(s):  
John N. Caviness ◽  
Jay A. van Gerpen ◽  
Bryan T. Klassen ◽  
James H. Bower ◽  
Joseph Y. Matsumoto

A battery of tools is used to provide neurophysiological characteristics of movement disorders, including EMG, EEG, EEG-EMG with back-averaging, evoked potentials, and long-latency EMG reflexes. Surface EMG forms the foundation of movement neurophysiology and can clarify muscle discharge timing and spatial relationships, as well as frequency information. This is useful for distinguishing tremor types, tremor versus myoclonus, and which muscles are involved in dystonia. Common modalities that are simultaneously recorded with EMG are EEG and motion detectors. Combined EMG with EEG recordings during myoclonus is useful for myoclonus classification and source localization. Evoked potentials and long-latency reflexes can assist with defining the myoclonus pathophysiology. These tests can distinguish between myoclonus of cortical versus subcortical origin, which affects treatment strategy decisions. EMG is useful for muscle localization for botulinum toxin injection. Chorea, tics, and psychogenic movement disorders mostly show nonspecific EMG patterns, limiting the usefulness of the technique in these situations.

2020 ◽  
Vol 129 (6) ◽  
pp. 1393-1404
Author(s):  
Joseph F. Welch ◽  
Patrick J. Argento ◽  
Gordon S. Mitchell ◽  
Emily J. Fox

Transcranial magnetic stimulation (TMS) is a noninvasive technique to assess neural impulse conduction along the cortico-diaphragmatic pathway. The reliability of diaphragm motor-evoked potentials (MEP) induced by TMS is unknown. Notwithstanding large variability in MEP amplitude, we found good-to-excellent reproducibility of all MEP characteristics (latency, duration, amplitude, and area) both within- and between-day in healthy adult men and women. Our findings support the use of TMS and surface EMG to assess diaphragm activation in humans.


2021 ◽  
Author(s):  
Abhishek S. Bhutada ◽  
Chang Cai ◽  
Danielle Mizuiri ◽  
Anne Findlay ◽  
Jessie Chen ◽  
...  

AbstractMagnetoencephalography (MEG) is a robust method for non-invasive functional brain mapping of sensory cortices due to its exceptional spatial and temporal resolution. The clinical standard for MEG source localization of functional landmarks from sensory evoked responses is the equivalent current dipole (ECD) localization algorithm, known to be sensitive to initialization, noise, and manual choice of the number of dipoles. Recently many automated and robust algorithms have been developed, including the Champagne algorithm, an empirical Bayesian algorithm, with powerful abilities for MEG source reconstruction and time course estimation (Wipf et al. 2010; Owen et al. 2012). Here, we evaluate automated Champagne performance in a clinical population of tumor patients where there was minimal failure in localizing sensory evoked responses using the clinical standard, ECD localization algorithm. MEG data of auditory evoked potentials and somatosensory evoked potentials from 21 brain tumor patients were analyzed using Champagne, and these results were compared with equivalent current dipole (ECD) fit. Across both somatosensory and auditory evoked field localization, we found there was a strong agreement between Champagne and ECD localizations in all cases. Given resolution of 8mm voxel size, peak source localizations from Champagne were below 10mm of ECD peak source localization. The Champagne algorithm provides a robust and automated alternative to manual ECD fits for clinical localization of sensory evoked potentials and can contribute to improved clinical MEG data processing workflows.


1976 ◽  
Vol 16 (3) ◽  
pp. 319-331 ◽  
Author(s):  
Elaine Snyder ◽  
Steven A. Hillyard

2018 ◽  
Vol 61 ◽  
pp. 25-33 ◽  
Author(s):  
Francesco Di Nardo ◽  
Annachiara Strazza ◽  
Alessandro Mengarelli ◽  
Serena Ercolani ◽  
Nicole Morgoni ◽  
...  

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