Browsing by Author "Johnson, Matthew D"

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    Data from: Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease
    (2021-03-03) Peña, Edgar; Mohammad, Tareq M; Almohammed, Fedaa; AlOtaibi, Tahani; Nahrir, Shahpar; Khan, Sheraz; Poghosyan, Vahe; Johnson, Matthew D; Bajwa, Jawad A; drbajwa@gmail.com; Bajwa, Jawa A
    Clinical responses to dopamine replacement therapy for individuals with Parkinson’s disease (PD) are often difficult to predict. We characterized changes in MDS-UPDRS motor factor scores resulting from a short-duration L-Dopa response (SDR), and investigated how the inter-subject clinical differences could be predicted from motor cortical magnetoencephalography (MEG). MDS-UPDRS motor factor scores and resting-state MEG recordings were collected during SDR from twenty individuals with a PD diagnosis. We used a novel subject-specific strategy based on linear support vector machines to quantify motor cortical oscillatory frequency profiles that best predicted medication state. Motor cortical profiles differed substantially across individuals and showed consistency across multiple data folds. There was a linear relationship between classification accuracy and SDR of lower limb bradykinesia, although this relationship did not persist after multiple comparison correction, suggesting that combinations of spectral power features alone are insufficient to predict clinical state. Factor score analysis of therapeutic response and novel subject-specific machine learning approaches based on subject-specific neuroimaging provide tools to predict outcomes of therapies for PD.
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    Detecting Parkinsonian Postural Sway in Pre-Clinical Animal Models
    (2023-09-30) Funk, Ethan F; Johnson, Matthew D
    This project involved developing circuitry and code to read signals off of a custom pressure mat. The mat is used to study the postural sway associated with Parkinsonian and non-Parkinsonian preclinical animal models in order to better understand the neurophysiology of Parkinson's disease. Methods of signal aquisition involved using an ardiuno to stream data over the serial port in real time to matlab, where it was then organized and processed. The results of this project included frames of 32x32 displays of voltages sensed from the pressure mat correlating to areas of high and low pressure over time. The data collected with this mat is to be examined in tandum with electrode readings from the brain of the animal models during the pressure mat trials in an effort to understand the association between the pressure mat and electrode readings.