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Using epigenetic networks for the analysis of movement associatedwith levodopa therapy for Parkinson’s disease
Citation
Turner, AP and Lones, MA and Trefzer, MA and Smith, SL and Jamieson, S and Alty, JE and Cosgrove, J and Tyrrell, AM, Using epigenetic networks for the analysis of movement associatedwith levodopa therapy for Parkinson's disease, Biosystems, 146 pp. 35-42. ISSN 0303-2647 (2016) [Refereed Article]
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Copyright Statement
© 2016 The Author(s). Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/
DOI: doi:10.1016/j.biosystems.2016.05.005
Abstract
Levodopa is a drug that is commonly used to treat movement disorders associated with Parkinson's disease. Its dosage requires careful monitoring, since the required amount changes over time, and excess dosage can lead to muscle spasms known as levodopa-induced dyskinesia. In this work, we investigate the potential for using epiNet, a novel artificial gene regulatory network, as a classifier for monitoring accelerometry time series data collected from patients undergoing levodopa therapy. We also consider how dynamical analysis of epiNet classifiers and their transitions between different states can highlight clinically useful information which is not available through more conventional data mining techniques. The results show that epiNet is capable of discriminating between different movement patterns which are indicative of either insufficient or excessive levodopa.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | epigenetics, artificial gene regulatory networks, epiNet, classification, Parkinson's disease, neurology, neurodegenerative, evolutionary algorithms |
| Research Division: | Biomedical and Clinical Sciences |
| Research Group: | Neurosciences |
| Research Field: | Central nervous system |
| Objective Division: | Health |
| Objective Group: | Clinical health |
| Objective Field: | Diagnosis of human diseases and conditions |
| UTAS Author: | Alty, JE (Associate Professor Jane Alty) |
| ID Code: | 133253 |
| Year Published: | 2016 |
| Web of Science® Times Cited: | 3 |
| Deposited By: | Wicking Dementia Research and Education Centre |
| Deposited On: | 2019-06-19 |
| Last Modified: | 2022-08-29 |
| Downloads: | 23 View Download Statistics |
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