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Deep Brain Stimulation (DBS) is a well-established neurosurgical treatment aiming at symptom alleviation in a range of neurological and psychiatric diseases. Computational models of DBS are widely used to investigate the effects of…

Systems and Control · Electrical Eng. & Systems 2025-11-17 Anna Franziska Frigge , Alexander Medvedev

Deep brain stimulation (DBS) is an established method for treating pathological conditions such as Parkinson's disease, dystonia, Tourette syndrome, and essential tremor. While the precise mechanisms which underly the effectiveness of DBS…

Dynamical Systems · Mathematics 2020-07-07 Daniel Kuelbs , Jacob Dunefsky , Bharat Monga , Jeff Moehlis

Objective: Closed-loop deep brain stimulation (DBS) may improve current clinical DBS treatment for neurological movement disorders, but control algorithms may perform differently across patients. New metrics are needed for comparing and…

Neurons and Cognition · Quantitative Biology 2016-05-31 Jeffrey Herron , Anca Velisar , Mahsa Malekmohammadi , Helen Bronte-Stewart , Howard Jay Chizeck

The study involved 56 patients with advanced and late stages of Parkinsons disease, which could be considered as potentially requiring neurosurgical treatment-electrical stimulation of deep brain structures. An algorithm has been developed…

Neurons and Cognition · Quantitative Biology 2021-11-10 Elcin Huseyn

Deep brain stimulation (DBS) has shown great promise toward treating motor symptoms caused by Parkinson's disease (PD), by delivering electrical pulses to the Basal Ganglia (BG) region of the brain. However, DBS devices approved by the U.S.…

Deep brain stimulation (DBS) can alleviate the movement disorders like Parkinson's disease (PD). Indeed, it is known that aberrant beta (13-30Hz)oscillations and the loss of dopaminergic neurons in the basal ganglia-thalamus (BGTH) and…

Neurons and Cognition · Quantitative Biology 2021-12-07 Hina Shaheen , Roderick Melnik

In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. Our deep-learning approach is based on the popular 3D U-Net…

Image and Video Processing · Electrical Eng. & Systems 2023-10-31 A. V. Dobshik , S. K. Verbitskiy , I. A. Pestunov , K. M. Sherman , Yu. N. Sinyavskiy , A. A. Tulupov , V. B. Berikov

Deep brain stimulation (DBS) is an established intervention for Parkinson's disease (PD), but conventional open-loop systems lack adaptability, are energy-inefficient due to continuous stimulation, and provide limited personalization to…

Machine Learning · Computer Science 2025-07-10 Harsh Ravivarapu , Gaurav Bagwe , Xiaoyong Yuan , Chunxiu Yu , Lan Zhang

Accurate assessment of Parkinsonian tremor is vital for monitoring disease progression and evaluating treatment efficacy. We introduce a pixel-based deep learning model designed to analyse postural tremor in Parkinson's disease (PD) from…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Felipe Duque-Quiceno , Grzegorz Sarapata , Yuriy Dushin , Miles Allen , Jonathan O'Keeffe

Automated brain lesions detection is an important and very challenging clinical diagnostic task because the lesions have different sizes, shapes, contrasts, and locations. Deep Learning recently has shown promising progress in many…

Computer Vision and Pattern Recognition · Computer Science 2018-01-08 Mina Rezaei , Haojin Yang , Christoph Meinel

Parkinson's Disease afflicts millions of individuals globally. Emerging as a promising brain rehabilitation therapy for Parkinson's Disease, Closed-loop Deep Brain Stimulation (CL-DBS) aims to alleviate motor symptoms. The CL-DBS system…

Neural and Evolutionary Computing · Computer Science 2024-07-26 Ananna Biswas , Hongyu An

Parkinson's disease (PD), a degenerative disorder of the central nervous system, is commonly diagnosed using functional medical imaging techniques such as single-photon emission computed tomography (SPECT). In this study, we utilized two…

Machine Learning · Computer Science 2025-01-22 Guan-Hua Huang , Wan-Chen Lai , Tai-Been Chen , Chien-Chin Hsu , Huei-Yung Chen , Yi-Chen Wu , Li-Ren Yeh

Parkinson's Disease (PD) is a devastating neurodegenerative disorder that affects millions of people around the globe. Many researchers are continuously working to understand PD and develop treatments to improve the condition of PD…

Applications · Statistics 2025-12-16 Malinda Iluppangama , Dilmi Abeywardana , Chris Tsokos

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

Deep spiking neural networks (SNNs) hold great potential for improving the latency and energy efficiency of deep neural networks through event-based computation. However, training such networks is difficult due to the non-differentiable…

Neural and Evolutionary Computing · Computer Science 2016-09-01 Jun Haeng Lee , Tobi Delbruck , Michael Pfeiffer

Purpose: To compare the segmentation and detection performance of a deep learning model trained on a database of human-labelled clinical diffusion-weighted (DW) stroke lesions to a model trained on the same database enhanced with synthetic…

Decoding behavior, perception, or cognitive state directly from neural signals has applications in brain-computer interface research as well as implications for systems neuroscience. In the last decade, deep learning has become the…

Neurons and Cognition · Quantitative Biology 2020-05-21 Jesse A. Livezey , Joshua I. Glaser

Deep Brain Stimulation (DBS) is an established and powerful treatment method in various neurological disorders. It involves chronically delivering electrical pulses to a certain stimulation target in the brain in order to alleviate the…

Systems and Control · Electrical Eng. & Systems 2023-10-03 Anna Franziska Frigge , Alexander Medvedev , Elena Jiltsova , Dag Nyholm

With the rapid development of deep learning, Deep Spiking Neural Networks (DSNNs) have emerged as promising due to their unique spike event processing and asynchronous computation. When deployed on neuromorphic chips, DSNNs offer…

Neural and Evolutionary Computing · Computer Science 2024-07-15 Hui Xie , Ge Yang , Wenjuan Gao

The detection of human sleep stages is widely used in the diagnosis and intervention of neurological and psychiatric diseases. Some patients with deep brain stimulator implanted could have their neural activities recorded from the deep…

Machine Learning · Computer Science 2023-02-08 Chen Gong , Yue Chen , Yanan Sui , Luming Li