Browsing by Author "McGurrin, Patrick"

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    BacAv, a new free online platform for clinical back-averaging
    (2020) Vial Undurraga, Felipe; Attaripour, Sanaz; McGurrin, Patrick; Hallett, Mark
    Objective. The back-average technique is very useful to study the relation between the activity in the cortex and the muscles. It has two main clinical applications, Bereitschaftspotential (BP) recording and myoclonus studies. The BP is a slow wave negativity originating in the supplementary motor cortex and premotor cortex that precedes voluntary movements. This wave also precedes involuntary movements in functional movement disorders (FMD), and it can be used as a helpful diagnostic tool. For the myoclonus studies, the back-average technique is very important to help localizing the source of the myoclonus. The hardware needed to do BP or myoclonus studies is standard and available in any electrophysiology lab, but there are not many software solutions to do the analysis. In this article together with describing the methodology that we use for recording clinical BPs and myoclonus, we present BacAv, an online free application that we developed for the purpose of doing back-average analysis. Methods: BacAv was developed in “R” language using Rstudio, a free integrated development environment. The recommended parameters for the data acquisition for BP recording and myoclonus studies are given in this section. Results: The platform was successfully developed, is able to read txt files, look for muscle bursts, segment the data, and plot the average. The parameters of the algorithm that look for the muscle bursts can be adapted according to the characteristics of the dataset. Conclusion: We have developed software for clinicians who do not have sophisticated equipment to do back-averaging. Significance: This tool will make this useful analysis method more available in a clinical environment.
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    Electrophysiological Evidence for Functional (Psychogenic) Essential Palatal Tremor
    (2020) Vial Undurraga, Felipe; Akano, Emmanuel; Attaripour, Sanaz; McGurrin, Patrick; Hallett, Mark
    Background: There is little published work describing the electrophysiological characteristics of essential palatal tremor, a condition now believed by many to be a functional (psychogenic) movement disorder. Case Report: Here we combine electroencephalography and electromyography with time-locked video recordings to document two cases of essential palatal tremor in which a definitive diagnosis is achieved using these electrophysiological tools. Discussion: We believe that sharing how these objective tools can be used to diagnose a functional movement disorder, as well as providing more published evidence to support the functional origin of essential palatal myoclonus, will help to diagnose this condition in the future.
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    KCNN2 Mutation in Pediatric Tremor Myoclonus Dystonia Syndrome with Electrophysiological Evaluation
    (2022) Lavenstein, Bennett; McGurrin, Patrick; Attaripour, Sanaz; Vial Undurraga, Felipe; Hallett, Mark
    Background: Here we combine clinical, electrophysiological, and genetic findings to phenotype an unusual childhood movement disorder in a patient with a rare form of KCNN2 mutation. Case report: A 10-year-old male presented with a clinical syndrome of tremor and myoclonus. Electrophysiology demonstrated muscle activity indicative of myoclonus dystonia, an observation that was not appreciated clinically. Genetic testing revealed an abnormality in the KCNN 2 gene, not present in the parents, known to cause dystonia, as the etiology. Discussion: The value of utilizing noninvasive, electrophysiological recording in pediatric movement disorders expands the precision of diagnosis, potentially informing treatment when correlated with clinical and genetic findings.
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    Physiology of Tremor Reduction by Putting the Hands Together in Essential Tremor
    (2022) McGurrin, Patrick; Vial Undurraga, Felipe; Osterholt, Thomas; Norato, Gina; Khan, Imran; Haubenberger, Dietrich; Ehrlich, Debra; Hallett, Mark
    Background: Background Essential tremor is a common movement disorder, characterized by 4–12 Hz tremor of the hands and arms that can affect many activities of daily living. It has been reported by patients that when performing tasks bimanually their tremor is reduced, but why this happens is unknown. Objectives: Objectives We measured patients’ tremors in different conditions when performed with 1 hand and 2 hands to observe if bimanual task performance changes the characteristics of the tremor. Methods: Methods A total of 10 patients with essential tremor participated in the study. Electromyographic electrodes were attached bilaterally to the wrist flexor and extensor muscles, and accelerometers were attached to the dorsum of the hands. For each condition, holding a cup, wingbeat, and extending both arms up, data were collected with a single hand and bimanually with the hands touching. Results: Results When the hands were touching, there was a significant decrease in both accelerometric and electromyographic power at the tremor frequency. In addition, there was a decrease in coherence between accelerometer and electromyography on the same side. There was no change in the tremor frequency. Conclusions: Conclusions Tremor amplitude does decrease when the hands are together. Together, the characteristics underlying the decrease in tremor amplitude may indicate a decrease in power of the central oscillator driving the tremor, which we speculate is attributed to the differences in unimanual and bimanual motor control. However, given the small sample size, we note that future hypothesis-driven studies with an a priori power analysis will be required to further explore this phenomenon.
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    Purposely Induced Tics: Electrophysiology
    (2020) McGurrin, Patrick; Attaripour, Sanaz; Vial Undurraga, Felipe; Hallett, Mark
    Tics are non-rhythmic movements that can be simple or complex. Clinically, they may appear as quick voluntary movements (50–200 ms), but can also be longer and more sustained (>300 ms). These movements are often described as being predictable. An inner tension builds which is relieved by the movement in most cases, and the movement can be suppressed for some time. Most patients report a feeling of relief once they release the movement, and therefore do not prolong the suppression. Thus, to some extent, the movement is under voluntary control. Tics have been called “unvoluntary”; a movement between voluntary and involuntary behavior.4 Here we present a person who can purposely induce tics. Simultaneous electroencephalography (EEG) and electromyographic (EMG) activity were recorded to capture the Bereitschaftspotential (BP) to explore the physiology of this phenomenon.
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    Tremoroton, a new free online platform for tremor analysis
    (2020) Vial Undurraga, Felipe; McGurrin, Patrick; Osterholt, Thomas; Ehrlich, Debra; Haubenberger, Dietrich; Hallett, Mark
    Objective: The electrophysiological classification of tremors can be a key element in the diagnosis and can facilitate treatment of a patient with tremor; however, the ability to conduct electrophysiological studies of tremor is not widely available. The purpose of this study was to develop and validate a free online platform for tremor analysis. Methods: An online platform for tremor analysis was developed using "R" language; called Tremoroton". For validation, we compared the frequency estimation of the tremor obtained with Tremoroton compared with a commercially available software in a cohort of 20 patients (10 with essential tremor and 10 with Parkinson diagnosis), comparing the activity recorded on the accelerometer, extensor carpi radialis and flexor carpi radialis EMG. An intraclass correlation coefficient was used for the comparison. Results: The final version of tremoroton is now online. It allows reading up to 6 channels, and will do time, frequency, time-frequency analysis and calculate coherence. We demonstrated a high correlation in frequency measurements (0.97 (0.945-0.984, 95% IC) for the accelerometers, 0.98 (0.977-0.994, 95% IC) for the extensor carpi radialis EMG, and 0.99 (0.987-0.997, 95% IC) for the flexor carpi radialis EMG) when compared to a commercial software. Conclusion: We were able to develop and validate a free online platform for tremor analysis. Significance: Making this tool available should help expanding tremor analysis techniques from research to the clinical setting.

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