Machine learning in deep brain stimulation: A systematic review

M Peralta, P Jannin, JSH Baxter - Artificial Intelligence in Medicine, 2021 - Elsevier
Abstract Deep Brain Stimulation (DBS) is an increasingly common therapy for a large range
of neurological disorders, such as abnormal movement disorders. The effectiveness of DBS …

A novel deep learning model for STN localization from LFPs in Parkinson's disease

M Hosny, M Zhu, W Gao, Y Fu - Biomedical Signal Processing and Control, 2022 - Elsevier
Deep brain stimulation (DBS) is a common treatment for the neurological disorder,
Parkinson's disease (PD). DBS encompasses accurate implantation of stimulated electrodes …

Machine learning for the localization of Subthalamic Nucleus during deep brain stimulation surgery: a systematic review and Meta-analysis

MAM Inggas, T Coyne, T Taira, JA Karsten, U Patel… - Neurosurgical …, 2024 - Springer
Introduction Delineating subthalamic nucleus (STN) boundaries using microelectrode
recordings (MER) and trajectory history is a valuable resource for neurosurgeons, aiding in …

Statistical segmentation model for accurate electrode positioning in Parkinson's deep brain stimulation based on clinical low-resolution image data and …

I Varga, E Bakstein, G Gilmore, J May, D Novak - Plos one, 2024 - journals.plos.org
Background Deep Brain Stimulation (DBS), applying chronic electrical stimulation of
subcortical structures, is a clinical intervention applied in major neurologic disorders. In …

Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection

M Heidarian, G Karimi, M Payandeh - Expert Systems with Applications, 2024 - Elsevier
This paper presents an effective learning multi-spike deep spiking neural network with
temporal feedback backpropagation for breast cancer detection using contrast-enhanced …

Detection of neurodegenerative diseases using hybrid MODWT and adaptive local binary pattern

J Prasanna, ST George, MSP Subathra - Neural Computing and …, 2024 - Springer
Neurodegenerative diseases cause significant irregularities in walking patterns, impacting
gait dynamics and rhythms analyzed through gait time series. Human gait analysis is a …

STN localization using local field potentials based on wavelet packet features and stacking ensemble learning

M Hosny, M Zhu, W Gao, AM Elshenhab - Journal of Neuroscience …, 2024 - Elsevier
Background: DBS entails the insertion of an electrode into the patient brain, enabling
Subthalamic nucleus (STN) stimulation. Accurate delineation of STN borders is a critical but …

A novel deep recurrent convolutional neural network for subthalamic nucleus localization using local field potential signals

M Hosny, M Zhu, Y Su, W Gao, Y Fu - biocybernetics and biomedical …, 2021 - Elsevier
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a well-established
interventional treatment for improving motor symptoms of patients suffering from Parkinson's …

Lightweight deep learning model for automated STN localization using MER in Parkinson's disease

A Maged, M Zhu, W Gao, M Hosny - Biomedical Signal Processing and …, 2024 - Elsevier
Deep brain stimulation (DBS) of Subthalamic nucleus (STN), using a permanent electrode
has emerged as an effective treatment for Parkinson's disease patients. However, accurately …

Using Ensemble of Hand-Feature Engineering and Machine Learning Classifiers for Refining the Subthalamic Nucleus Location from Micro-Electrode Recordings in …

M Benouis, A Rosado-Muñoz - Applied Sciences, 2024 - mdpi.com
When pharmaceutical treatments for Parkinson's Disease (PD) are no longer effective, Deep
Brain Stimulation (DBS) surgery, a procedure that entails the stimulation of the Subthalamic …