MRI Classification of Parkinson’s Disease Using SVM and Texture Features

2015 ◽  
pp. 357-364
Author(s):  
S. Pazhanirajan ◽  
P. Dhanalakshmi
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Texture Features

Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction

2020 ◽  
Vol 13 (5) ◽  
pp. 508-523 ◽  
Author(s):  
Guan‐Hua Huang ◽  
Chih‐Hsuan Lin ◽  
Yu‐Ren Cai ◽  
Tai‐Been Chen ◽  
Shih‐Yen Hsu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Stage ◽  
Brain Images ◽  
Functional Brain ◽  
Machine Learning Classification

scholarly journals Classification of Parkinson’s Disease Genotypes in Drosophila Using Spatiotemporal Profiling of Vision

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Ryan J.H. West ◽  
Christopher J.H. Elliott ◽  
Alex R. Wade
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease

scholarly journals 3D convolutional neural networks for classification of Alzheimer’s and Parkinson’s disease with T1-weighted brain MRI

2021 ◽  
Author(s):  
Nikhil J. Dhinagar ◽  
Sophia I. Thomopoulos ◽  
Conor Owens-Walton ◽  
Dimitris Stripelis ◽  
Jose Luis Ambite ◽  
...  
Keyword(s):  
Neural Networks ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Convolutional Neural Networks ◽  
Brain Mri

scholarly journals The Landscape of Parkin Variants Reveals Pathogenic Mechanisms and Therapeutic Targets in Parkinson’s Disease

2018 ◽  
Author(s):  
Wei Yi ◽  
Emma J. MacDougall ◽  
Matthew Y. Tang ◽  
Andrea I. Krahn ◽  
Ziv Gan-Or ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Ubiquitin Ligase ◽  
E3 Ubiquitin Ligase ◽  
Specific Drug ◽  
Common Cause ◽  
Naturally Occurring ◽  
Population Databases ◽  
Early Onset Parkinson’S Disease

AbstractMutations in Parkin (PARK2), which encodes an E3 ubiquitin ligase implicated in mitophagy, are the most common cause of early onset Parkinson’s Disease (PD). Hundreds of naturally occurring Parkin variants have been reported, both in PD patient and population databases. However, the effects of the majority of these variants on the function of Parkin and in PD pathogenesis remains unknown. Here we develop a framework for classification of the pathogenicity of Parkin variants based on the integration of clinical and functional evidence – including measures of mitophagy and protein stability, and predictive structural modeling – and assess 51 naturally occurring Parkin variants accordingly. Surprisingly, only a minority of Parkin variants, even among those previously associated with PD, disrupted Parkin function. Moreover, a few of these naturally occurring Parkin variants actually enhanced mitophagy. Interestingly, impaired mitophagy in several of the most common pathogenic Parkin variants could be rescued both by naturally-occurring (p.V224A) and structure-guided designer (p.W403A; p.F146A) hyperactive Parkin variants. Together, the findings provide a coherent framework to classify Parkin variants based on pathogenicity and suggest that several pathogenic Parkin variants represent promising targets to stratify patients for genotype-specific drug design.

Texture Features Based Detection of Parkinson’s Disease on DaTSCAN Images

2013 ◽  
pp. 266-277 ◽  
Author(s):  
Francisco Jesús Martínez-Murcia ◽  
Juan Manuel Górriz ◽  
Javier Ramírez ◽  
I. Alvarez Illán ◽  
C. G. Puntonet
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Texture Features

IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection

2018 ◽  
Vol 22 (6) ◽  
pp. 1765-1774 ◽  
Author(s):  
Carlotta Caramia ◽  
Diego Torricelli ◽  
Maurizio Schmid ◽  
Adriana Munoz-Gonzalez ◽  
Jose Gonzalez-Vargas ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Sensitivity Analysis ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Sensor Location
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