Diagnosis of Parkinson"s Disease Using Two Types of Biomarkers and Characterization of Fiber Pathways


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 10, pp. 421-428, Oct. 2014
10.3745/KTSDE.2014.3.10.421,   PDF Download:

Abstract

Like Alzheimer`s disease, Parkinson`s Disease(PD) is one of the most common neurodegenerative brain disorders. PD results from the deterioration of dopaminergic neurons in the brain region called the substantia nigra. Currently there is no cure for PD, but diagnosing in its early stage is important to provide treatments for relieving the symptoms and maintaining quality of life. Unlike many diagnosis methods of PD which use a single biomarker, we developed a diagnosis method that uses both biochemical biomarkers and imaging biomarkers. Our method uses α-synuclein protein levels in the cerebrospinal fluid and diffusion tensor images(DTI). It achieved an accuracy over 91.3% in the 10-fold cross validation, and the best accuracy of 72% in an independent testing, which suggests a possibility for early detection of PD. We also analyzed the characteristics of the brain fiber pathways of Parkinson`s disease patients and normal elderly people.


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Cite this article
[IEEE Style]
S. T. Kang, W. Lee, B. K. Park, K. S. Han, "Diagnosis of Parkinson"s Disease Using Two Types of Biomarkers and Characterization of Fiber Pathways," KIPS Transactions on Software and Data Engineering, vol. 3, no. 10, pp. 421-428, 2014. DOI: 10.3745/KTSDE.2014.3.10.421.

[ACM Style]
Shin Ttae Kang, Wook Lee, Byung Kyu Park, and Kyung Sook Han. 2014. Diagnosis of Parkinson"s Disease Using Two Types of Biomarkers and Characterization of Fiber Pathways. KIPS Transactions on Software and Data Engineering, 3, 10, (2014), 421-428. DOI: 10.3745/KTSDE.2014.3.10.421.