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Deep brain stimulation(DBS)has become an effective intervention for advanced Parkinson's disease, but the exact mechanism of DBS is still unclear. In this review, we discuss the history of DBS, the anatomy and internal architecture of the…

Neurons and Cognition · Quantitative Biology 2023-03-24 Yongtong Wu , Kejia Hu , Shenquan Liu

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 a progressive neurodegenerative disorder that significantly impacts both motor and non-motor functions, including speech. Early and accurate recognition of PD through speech analysis can greatly enhance patient…

Numerical Analysis · Mathematics 2024-07-24 Niloofar Fadavi , Nazanin Fadavi

Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve the treatment of patients with Parkinson's disease. Current…

Machine Learning · Computer Science 2024-02-20 Charlie Tran , Kai Shen , Kang Liu , Akshay Ashok , Adolfo Ramirez-Zamora , Jinghua Chen , Yulin Li , Ruogu Fang

A large scale computational model of the basal ganglia (BG) network is proposed to describes movement disorder including deep brain stimulation (DBS). The model of this complex network considers four areas of the basal ganglia network: the…

Neurons and Cognition · Quantitative Biology 2021-03-15 Konstantinos Spiliotis , Jens Starke , Denise Franz , Angelika Richter , Rüdiger Köhling

Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control, particularly handwriting, is a powerful tool to support PD…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Moises Diaz , Momina Moetesum , Imran Siddiqi , Gennaro Vessio

Parkinson's disease (PD) is a prevalent neurodegenerative disorder known for its impact on motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study explores the potential of vocal feature alterations in PD…

Regular and stochastic behavior in the time series of Parkinsonian pathological tremor velocity is studied on the basis of the statistical theory of discrete non-Markov stochastic processes and flicker-noise spectroscopy. We have developed…

The exact origin of tremor in Parkinson's disease remains unknown. We explain why the existing data converge on the basal ganglia-thalamo-cortical loop as a tremor generator and consider a conductance-based model of subthalamo-pallidal…

Neurons and Cognition · Quantitative Biology 2012-08-13 Andrey Dovzhenok , Leonid L. Rubchinsky

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

Parkinson's disease (PD) presents a growing global challenge, affecting over 10 million individuals, with prevalence expected to double by 2040. Early diagnosis remains difficult due to the late emergence of motor symptoms and limitations…

Machine Learning · Computer Science 2025-10-21 Arianna Francesconi , Donato Cappetta , Fabio Rebecchi , Paolo Soda , Valerio Guarrasi , Rosa Sicilia

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

Parkinsons Disease is a neurological disorder and prevalent in elderly people. Traditional ways to diagnose the disease rely on in-person subjective clinical evaluations on the quality of a set of activity tests. The high-resolution…

Machine Learning · Computer Science 2020-10-16 Weijian Li , Wei Zhu , E. Ray Dorsey , Jiebo Luo

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) shows heterogeneous, evolving brain-morphometry patterns. Modeling these longitudinal trajectories enables mechanistic insight, treatment development, and individualized 'digital-twin' forecasting. However, existing…

Machine Learning · Computer Science 2025-11-10 Xiaoda Wang , Yuji Zhao , Kaiqiao Han , Xiao Luo , Sanne van Rooij , Jennifer Stevens , Lifang He , Liang Zhan , Yizhou Sun , Wei Wang , Carl Yang

Parkinsons disease (PD) alters cortical neural dynamics, yet reliable non-invasive electrophysiological biomarkers remain elusive. This study examined whether interpretable EEG features capturing complementary aspects of neural dynamics can…

Neurons and Cognition · Quantitative Biology 2026-04-14 Antonios G. Dougalis

Neurodegenerative diseases, such as Alzheimer's or Parkinson's disease, show characteristic degradation of structural brain networks. This degradation eventually leads to changes in the network dynamics and degradation of cognitive…

Adaptation and Self-Organizing Systems · Physics 2020-09-21 Alain Goriely , Ellen Kuhl , Christian Bick

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

Parkinsonism leads to various electrophysiological changes in the basal ganglia-thalamocortical system (BGTCS), often including elevated discharge rates of the subthalamic nucleus (STN) and the output nuclei, and reduced activity of the…

Neurons and Cognition · Quantitative Biology 2018-01-08 Sacha Jennifer van Albada , Peter A. Robinson

The rapid advancement of medical technology has led to an exponential increase in multi-modal medical data, including imaging, genomics, and electronic health records (EHRs). Graph neural networks (GNNs) have been widely used to represent…

Quantitative Methods · Quantitative Biology 2024-10-03 Favour Nerrise , Alice Louise Heiman , Ehsan Adeli