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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

Eye movements can reveal early signs of neurodegeneration, including those associated with Parkinson's Disease (PD). This work investigates the utility of a set of gaze-based features for the automatic screening of PD from different visual…

Neurons and Cognition · Quantitative Biology 2025-09-03 Maria F. Alcala-Durand , J. Camilo Puerta-Acevedo , Julián D. Arias-Londoño , Juan I. Godino-Llorente

Accurate early diagnosis and monitoring of neurodegenerative conditions is essential for effective disease management and delivery of medication and treatment. This research develops automatic methods for detecting brain imaging preclinical…

Neural and Evolutionary Computing · Computer Science 2019-10-15 Amir Dehsarvi , Stephen L. Smith

Parkinson's disease (PD) is a progressive neurodegenerative disorder that, in addition to directly impairing functional mobility, is frequently associated with vocal impairments such as hypophonia and dysarthria, which typically manifest in…

PPINtonus is a system for the early detection of Parkinson's Disease (PD) utilizing deep-learning tonal analysis, providing a cost-effective and accessible alternative to traditional neurological examinations. Partnering with the…

Audio and Speech Processing · Electrical Eng. & Systems 2024-06-06 Varun Reddy

A widely used test for the diagnosis of Parkinson's disease (PD) and Essential tremor (ET) is hand-drawn shapes,where the analysis is observationally performed by the examining neurologist. This method is subjective and is prone to bias…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Nabeel Seedat , Vered Aharonson , Ilana Schlesinger

Transcranial Electrical Stimulation (TCES) and Deep Brain Stimulation (DBS) are two different applications of electrical current to the brain used in different areas of medicine. Both have a similar frequency dependence of their efficiency,…

Neurons and Cognition · Quantitative Biology 2019-07-15 Markus Schütt , Jens Christian Claussen

Parkinson's disease (PD) is debilitating, progressive, and clinically marked by motor symptoms. As the second most common neurodegenerative disease in the world, it affects over 10 million lives globally. Existing diagnoses methods have…

Machine Learning · Computer Science 2021-11-30 Riya Tyagi , Tanish Tyagi , Ming Wang , Lujin Zhang

Parkinson's Disease PD is a progressive neurodegenerative disorder that affects motor and cognitive functions with early diagnosis being critical for effective clinical intervention Electroencephalography EEG offers a noninvasive and…

Electromagnetic stimulation of the human brain is a key tool for the neurophysiological characterization and diagnosis of several neurological disorders. Transcranial magnetic stimulation (TMS) is one procedure that is commonly used…

Machine Learning · Computer Science 2020-02-04 Essam A. Rashed , Jose Gomez-Tames , Akimasa Hirata

Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel Disease (SVD), also indicating neuroinflammation, and are an important part of the brain's circulation and glymphatic drainage system. Quantitative analysis of PVS…

Computer Vision and Pattern Recognition · Computer Science 2018-04-13 Lucia Ballerini , Ruggiero Lovreglio , Maria del C. Valdes-Hernandez , Joel Ramirez , Bradley J. MacIntosh , Sandra E. Black , Joanna M. Wardlaw

Prevention of secondary brain injury is a core aim of neurocritical care, with Spreading Depolarizations (SDs) recognized as a significant independent cause. SDs are typically monitored through invasive, high-frequency electrocorticography…

Signal Processing · Electrical Eng. & Systems 2025-05-20 Jeanne Boyer-Chammard , Yinzhe Wu , Chenyu Zhang , Sharon Jewell , Anthony Strong , Guang Yang , Martyn Boutelle

Facial phenotyping has recently been successfully exploited for medical diagnosis as a novel way to diagnose a range of diseases, where facial biometrics has been revealed to have rich links to underlying genetic or medical causes. In this…

Artificial Intelligence · Computer Science 2021-05-18 Richard Jiang , Paul Chazot , Danny Crookes , Ahmed Bouridane , M Emre Celebi

Objective: The objective of this study is to develop and evaluate a systematic approach to optimize Deep Brain Stimulation (DBS) parameters, addressing the challenge of identifying patient-specific settings and optimal stimulation targets…

Systems and Control · Electrical Eng. & Systems 2026-01-13 Anna Franziska Frigge , Lina Uggla , Elena Jiltsova , Markus Fahlström , Dag Nyholm , Alexander Medvedev

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor dysfunction and abnormal neural oscillations. These symptoms can be modulated through electrical stimulation. Traditional neural activity analysis in PD has…

Neurons and Cognition · Quantitative Biology 2025-02-19 Jibum Kim , Hanseul Choi , Gaeun Kim , Sunggu Yang , Eunha Baeg , Donggue Kim , Seongwon Jin , Sangwon Byun

Objective: To apply deep learning pose estimation algorithms for vision-based assessment of parkinsonism and levodopa-induced dyskinesia (LID). Methods: Nine participants with Parkinson's disease (PD) and LID completed a levodopa infusion…

Computer Vision and Pattern Recognition · Computer Science 2018-11-12 Michael H. Li , Tiago A. Mestre , Susan H. Fox , Babak Taati

Suppression of excessively synchronous beta-band oscillatory activity in the brain is believed to suppress hypokinetic motor symptoms of Parkinson's disease. Recently, a lot of interest has been devoted to desynchronizing delayed feedback…

Neurons and Cognition · Quantitative Biology 2013-03-05 Andrey Dovzhenok , Choongseok Park , Robert M. Worth , Leonid L. Rubchinsky

Background: Parkinson's disease (PD) is a prevalent long-term neurodegenerative disease. Though the diagnostic criteria of PD are relatively well defined, the current medical imaging diagnostic procedures are expertise-demanding, and thus…

Quantitative Methods · Quantitative Biology 2019-02-27 Jiahang Xu , Fangyang Jiao , Yechong Huang , Xinzhe Luo , Qian Xu , Ling Li , Xueling Liu , Chuantao Zuo , Ping Wu , Xiahai Zhuang

Automatic localization and labeling of vertebra in 3D medical images plays an important role in many clinical tasks, including pathological diagnosis, surgical planning and postoperative assessment. However, the unusual conditions of…

Computer Vision and Pattern Recognition · Computer Science 2017-05-18 Dong Yang , Tao Xiong , Daguang Xu , Qiangui Huang , David Liu , S. Kevin Zhou , Zhoubing Xu , JinHyeong Park , Mingqing Chen , Trac D. Tran , Sang Peter Chin , Dimitris Metaxas , Dorin Comaniciu

Deep Venous Thrombosis (DVT) is a common vascular disease with blood clots inside deep veins, which may block blood flow or even cause a life-threatening pulmonary embolism. A typical exam for DVT using ultrasound (US) imaging is by…

Robotics · Computer Science 2025-02-25 Dianye Huang , Chenguang Yang , Mingchuan Zhou , Angelos Karlas , Nassir Navab , Zhongliang Jiang
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