Title
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis.
Abstract
Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system caused due to the loss of dopaminergic neurons. It is classified under movement disorder as patients with PD present with tremor, rigidity, postural changes, and a decrease in spontaneous movements. Comorbidities including anxiety, depression, fatigue, and sleep disorders are observed prior to the diagnosis of PD. Gene mutations, exposure to toxic substances, and aging are considered as the causative factors of PD even though its genesis is unknown. This paper reviews PD etiologies, progression, and in particular measurable indicators of PD such as neuroimaging and electrophysiology modalities. In addition to gene therapy, neuroprotective, pharmacological, and neural transplantation treatments, researchers are actively aiming at identifying biological markers of PD with the goal of early diagnosis. Neuroimaging modalities used together with advanced machine learning techniques offer a promising path for the early detection and intervention in PD patients.
Year
DOI
Venue
2018
10.1016/j.compbiomed.2018.09.008
Computers in Biology and Medicine
Keywords
Field
DocType
Parkinson's disease,Genes,LRRK2,Substantia nigra,PINK1,Neuroimaging,GBA
Central nervous system,Disease,Parkinson's disease,Pattern recognition,Computer science,Anxiety,Dopaminergic,Neuroprotection,Etiology,Artificial intelligence,Bioinformatics,Neuroimaging
Journal
Volume
ISSN
Citations 
102
0010-4825
4
PageRank 
References 
Authors
0.45
55
5
Name
Order
Citations
PageRank
shreya bhat1513.24
Rajendra Acharya U24666296.34
Yuki Hagiwara364129.34
Nahid Dadmehr449631.50
Hojjat Adeli52150148.37