A Review of Parkinson Disease Detection Techniques
Abstract
Parkinson’s disease (PD) is a progressive disorder that is caused by degeneration of nerve cells in the part of the brain called the substantia nigra, which controls movement. These nerve cells die or become impaired, losing the ability to produce an important chemical called dopamine. Studies have shown that symptoms of Parkinson’s develop in patients with an 80 percent or greater loss of dopamine-producing cells in the substantia nigra. Normally, dopamine operates in a delicate balance with other neurotransmitters to help coordinate the millions of nerve and muscle cells involved in movement. Without enough dopamine, this balance is disrupted, resulting in tremor (trembling in the hands, arms, legs and jaw); rigidity (stiffness of the limbs); slowness of movement; and impaired balance and coordination – the hallmark symptoms of Parkinson’s. The cause of Parkinson’s essentially remains unknown. However, theories involving oxidative damage, environmental toxins, genetic factors and accelerated aging have been discussed as potential causes for the disease. In 2005, researchers discovered a single mutation in a Parkinson’s disease gene (first identified in 1997), which is believed responsible for five percent of inherited cases.
Keywords:
Parkinson’s disease, Deep learning, Multi-modal data analysisPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Shahina K.K, Abia Paul , Adole Saju, Hemil Antony, Sherin Paulose, Literature Survey On Windows Incident Response Tool , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Goutham P Raj, Gregan George, Hadii Hasan, John Ashwin Delmon, V Pradeeba, COMPREHENSIVE VEHICLE SERVICES & E-COMMERCE PLATFORM WITH PRICE PREDICTION USING ML , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Liyan Grace Shaji, Ayana Soman, Diya V Varghese, Elizabeth Anna Liju, Ethel Jimmy, A Comprehensive Survey on Automated Radiology Report Generation: Methods, Explainability, Multimodal Alignment, and Clinical Integration , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aksa Ann Jacob, Midhun P Mathew, Adarsh S, Aaron Tom Viji, Aleena Varghese, A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Amala Jayan, Feneesha V B, Rameesa Dilsa C P, Sandra Maryam Binu, Sandra Maryam Binu, Stockwise: A survey on stock price prediction models , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jane George, A study on Multiple-Instance GPU, Evolution, Architecture and Applications , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Muhammed Saalim O.S, Fathima Parvin M.A, Albiya Hameed, Hiba Fathima T.S, Amritha Soloman, AGRISEN Precise irrigation System and Smart health monitoring system , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jo Saji, Naveen Ajesh, Parvathi K B, Sarya Sajeev, Syamamol T, BillEase: A Hybrid Weight and Vision Based Real-Time Automated Checkout System , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Athulya Anilkumar, Abhinav V V, Aneeta Shajan, Anjana S Nair, Bini M Issac, R Neenu, Image Descriptor For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
