Data from: Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease
2021-03-03
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2013/10/26-2015/11/02
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Riyadh, Saudi Arabia
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Title
Data from: Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease
Published Date
2021-03-03
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Bajwa, Jawa A
drbajwa@gmail.com
drbajwa@gmail.com
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Experimental Data
Human Subjects Data
Abstract
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.
Description
The .csv files contain all the motor factor scores, cross-validated feature weights, and cross-validated accuracy for figures 1, 2A, and 2B from the publication entitled "Individual Magnetoencephalography Response Profiles to Short- Duration L-Dopa in Parkinson's Disease" (Peña et al 2021 Frontiers in Human Neuroscience, DOI: 10.3389/fnhum.2021.640591).
Referenced by
Peña, E., Mohammad, T. M., Almohammed, F., AlOtaibi, T., Nahrir, S., Khan, S., Poghosyan, V., Johnson, M. D., and Bajwa, J. A. (2021). Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease. Frontiers in Human Neuroscience, 15, 127.
https://doi.org/10.3389/fnhum.2021.640591
https://doi.org/10.3389/fnhum.2021.640591
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King Fahad Medical City
National Science Foundation (00039202 to E.P.)
National Institutes of Health (R01-NS094206 and P50-NS098573)
National Science Foundation (00039202 to E.P.)
National Institutes of Health (R01-NS094206 and P50-NS098573)
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Previously Published Citation
Suggested citation
Peña, Edgar; Mohammad, Tareq M; Almohammed, Fedaa; AlOtaibi, Tahani; Nahrir, Shahpar; Khan, Sheraz; Poghosyan, Vahe; Johnson, Matthew D; Bajwa, Jawad A. (2021). Data from: Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/r6af-pj55.
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| File View/Open | Description | Size |
|---|---|---|
| motor_factor_scores.csv | Source data for Figure 1 of publication. Data consists of motor factor scores in the LEVODOPA-OFF and LEVODOPA-ON conditions, as well as the total MDS-UPDRS III score. | 1.21 KB |
| SVM_accuracies.csv | Source data for Figure 2A of publication. Data consists of SVM accuracy values (from 0 to 1; 0.5 is chance accuracy) across all subjects included in SVM analysis and for all classification folds. | 3.53 KB |
| feature_weights.csv | Source data for Figure 2B of publication. Data consists of SVM feature weights acros all subjects included in SVM analysis and for all classification folds and feature bands. | 21.67 KB |
| Readme_file.txt | readme file | 7.59 KB |
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