- Title
- Heart rate variability biomarkers of leucine-rich repeat kinase 2-associated Parkinson's disease
- Creator
- Naranjo, Claudia Carricarte; Marras, Connie; Machado, Andrés; Jelinek, Herbert F.; Visanji, Naomi P.; Cornforth, David J.; Sanchez-Rodriguez, Lazaro; Schüle, Birgitt; Goldman, Samuel M.; Estévez, Mario; Stein, Phyllis K.; Lang, Anthony E.
- Relation
- 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). Proceedings of 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020 (Pisa, Italy 15-15 July, 2020)
- Publisher Link
- http://dx.doi.org/10.1109/ESGCO49734.2020.9158194
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2020
- Description
- Leucine-rich repeat kinase 2 (LRRK2) mutations are the most common known cause of both familial and sporadic Parkinson's disease (PD). On a single patient basis, LRRK2-associated PD (LRRK2-PD) and idiopathic PD (iPD) are indistinguishable. Recent evidence suggests that LRRK2-PD may be related to greater vagal activity. This study aimed to explore the potential of standard and novel heart rate variability (HRV) measures to distinguish LRRK2-PD from iPD patients. Support vector machine classifiers, based on HRV features, were used to discriminate between PD types. The combination of two classifiers reached 79% sensitivity and 86% specificity. Cardiac autonomic biomarkers may be useful to accurately distinguish individuals with LRRK2-PD from iPD.
- Subject
- Parkinson's disease; heart rate variability; patients; cardiac autonomic biomarkers
- Identifier
- http://hdl.handle.net/1959.13/1436651
- Identifier
- uon:40094
- Identifier
- ISBN:9781728157511
- Language
- eng
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