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Parkinsons Disease (PD) is a neurodegenerative disorder resulting in motor deficits due to advancing degeneration of dopaminergic neurons. PD patients report experiencing tremor, rigidity, visual impairment, bradykinesia, and several…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Krish Desai

Parkinson's disease (PD) is a slowly progressing neurodegenerative disease with early manifestation of motor signs. Objective measurements of motor signs are of vital importance for diagnosing, monitoring and developing disease modifying…

Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However,…

Neurons and Cognition · Quantitative Biology 2018-11-16 Patrick Schwab , Walter Karlen

Parkinson's disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The mean age at diagnosis of PD is 55 and…

Parkinson's disease (PD) is a progressive degenerative disorder of the central nervous system characterized by motor and non-motor symptoms. As the disease progresses, patients alternate periods in which motor symptoms are mitigated due to…

Audio and Speech Processing · Electrical Eng. & Systems 2020-08-26 Anna Pompili , Rubén Solera-Ureña , Alberto Abad , Rita Cardoso , Isabel Guimarães , Margherita Fabbri , Isabel P. Martins , Joaquim Ferreira

Parkinson's Disease (PD) is a degenerative neurological disorder that impairs motor and non-motor functions, significantly reducing quality of life and increasing mortality risk. Early and accurate detection of PD progression is vital for…

Machine Learning · Computer Science 2024-12-31 Abhinav Roy , Bhavesh Gyanchandani , Aditya Oza , Abhishek Sharma

Parkinson's disease (PD) is a neurodegenerative disease affecting about 1% of people over the age of 60, causing motor impairments that impede hand coordination activities such as writing and drawing. Many approaches have tried to support…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Mhd Adnan Albani , Riad Sonbol

The brain-age gap is one of the most investigated risk markers for brain changes across disorders. While the field is progressing towards large-scale models, recently incorporating uncertainty estimates, no model to date provides the…

People with Parkinson's disease must be regularly monitored by their physician to observe how the disease is progressing and potentially adjust treatment plans to mitigate the symptoms. Monitoring the progression of the disease through a…

Audio and Speech Processing · Electrical Eng. & Systems 2022-05-25 Mohammadreza Iman , Amy Giuntini , Hamid Reza Arabnia , Khaled Rasheed

One of the most catastrophic neurological disorders worldwide is Parkinson's Disease. Along with it, the treatment is complicated and abundantly expensive. The only effective action to control the progression is diagnosing it in the early…

Machine Learning · Computer Science 2023-10-23 Md. Taufiqul Haque Khan Tusar , Md. Touhidul Islam , Abul Hasnat Sakil

Parkinson's disease (PD) is a progressive neurodegenerative disorder that impacts motor functions and speech characteristics This study focuses on differentiating individuals with Parkinson's disease from healthy controls through the…

Machine Learning · Computer Science 2025-01-27 Burak Çelik , Ayhan Akbal

Early detection of Parkinson's disease (PD) is important which can enable early initiation of therapeutic interventions and management strategies. However, methods for early detection still remain an unmet clinical need in PD. In this…

Applications · Statistics 2018-10-04 R Prashanth , Sumantra Dutta Roy

Parkinson's disease (PD) is a slowly progressing neurodegenerative disease with early manifestation of motor signs. Recently, there has been a growing interest in developing automatic tools that can assess motor function in PD patients.…

Information Retrieval · Computer Science 2018-05-04 Liron Allerhand , Brit Youngmann , Elad Yom-Tov , David Arkadir

Parkinsons disease, PD, is a chronic condition that affects motor skills and includes symptoms like tremors and rigidity. The current diagnostic procedure uses patient assessments to evaluate symptoms and sometimes a magnetic resonance…

Image and Video Processing · Electrical Eng. & Systems 2022-01-14 Sabrina Zhu

Since anatomic MRI is presently not able to directly discern neuronal loss in Parkinson's Disease (PD), studying the associated functional connectivity (FC) changes seems a promising approach toward developing non-invasive and…

Neurons and Cognition · Quantitative Biology 2018-02-07 Liviu Badea , Mihaela Onu , Tao Wu , Adina Roceanu , Ovidiu Bajenaru

Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide and affects around 1% of the (60+ years old) elderly population in industrial nations. More than 80% of PD patients suffer from motor symptoms, which…

Parkinson's disease (PD) affects over ten million people worldwide. Although temporal interference (TI) and deep brain stimulation (DBS) are promising therapies, inter-individual variability limits empirical treatment selection, increasing…

Neurons and Cognition · Quantitative Biology 2026-04-01 Siyuan Du , Siyi Li , Shuwei Bai , Ang Li , Haolin Li , Mingqing Xiao , Yang Pan , Dongsheng Li , Weidi Xie , Yanfeng Wang , Ya Zhang , Chencheng Zhang , Jiangchao Yao

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the death of dopaminergic neurons, leading to various movement disorder symptoms. Early diagnosis of PD is crucial to prevent adverse effects, yet…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Nabil Daiyan , Md Rakibul Haque

Sex and gender-based healthcare disparities contribute to differences in health outcomes. We focus on time to diagnosis (TTD) by conducting two large-scale, complementary analyses among men and women across 29 phenotypes and 195K patients.…

We use entropy to characterize intrinsic ageing properties of the human brain. Analysis of fMRI data from a large dataset of individuals, using resting state BOLD signals, demonstrated that a functional entropy associated with brain…

Quantitative Methods · Quantitative Biology 2014-06-10 Y. Yao , W. L. Lu , B. Xu , C. B. Li , C. P. Lin , D. Waxman , J. F. Feng