AIMC Topic: Subthalamic Nucleus
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Subthalamic nucleus or globus pallidus internus deep brain stimulation for the treatment of parkinson's disease: An artificial intelligence approach.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jun 18, 2025
BACKGROUND: Generative artificial intelligence (AI) in deep brain stimulation (DBS) is currently unvalidated in its content. This study sought to analyze AI responses to questions and recommendations from the 2018 Congress of Neurological Surgeons (C...
Comprehensive clinical scale-based machine learning model for predicting subthalamic nucleus deep brain stimulation outcomes in Parkinson's disease.
Neurosurgical review
Feb 25, 2025
Parkinson's Disease (PD) is a growing burden with varied clinical manifestations and responses to Subthalamic Nucleus Deep Brain Stimulation (STN-DBS). At present, there is no effective and simple machine learning model based on comprehensive clinica...
Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning.
Movement disorders : official journal of the Movement Disorder Society
Aug 23, 2024
BACKGROUND: Automated sleep detection in movement disorders may allow monitoring sleep, potentially guiding adaptive deep brain stimulation (DBS).
Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings.
International journal of computer assisted radiology and surgery
Jul 1, 2024
PURPOSE: Micro-electrode recordings (MERs) are a key intra-operative modality used during deep brain stimulation (DBS) electrode implantation, which allow for a trained neurophysiologist to infer the anatomy in which the electrode is placed. As DBS t...
The Effect of Deep Learning-Based QSM Magnetic Resonance Imaging on the Subthalamic Nucleus.
Journal of healthcare engineering
Sep 15, 2021
In order to study the influence of quantitative magnetic susceptibility mapping (QSM) on them. A 2.5D Attention U-Net Network based on multiple input and multiple output, a method for segmenting RN, SN, and STN regions in high-resolution QSM images i...
Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging.
Human brain mapping
Jul 29, 2021
The advent of susceptibility-sensitive MRI techniques, such as susceptibility weighted imaging (SWI), has enabled accurate in vivo visualization and quantification of iron deposition within the human brain. Although previous approaches have been intr...
Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approaches.
BMC medical imaging
Jun 22, 2021
BACKGROUND: Neonatal hyperbilirubinemia is a common clinical condition that requires medical attention in newborns, which may develop into acute bilirubin encephalopathy with a significant risk of long-term neurological deficits. The current clinical...
Comparison of clinical outcomes and accuracy of electrode placement between robot-assisted and conventional deep brain stimulation of the subthalamic nucleus: a single-center study.
Acta neurochirurgica
Mar 2, 2021
BACKGROUND: Several surgical methods are used for deep brain stimulation (DBS) of the subthalamic nucleus (STN) in Parkinson's disease (PD). This study aimed to compare clinical outcomes and electrode placement accuracy after robot-assisted (RAS) ver...
Clinical outcome prediction from analysis of microelectrode recordings using deep learning in subthalamic deep brain stimulation for Parkinson`s disease.
PloS one
Jan 26, 2021
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for improving the motor symptoms of advanced Parkinson's disease (PD). Accurate positioning of the stimulation electrodes is necessary for better clin...
Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's disease.
NeuroImage. Clinical
Aug 12, 2020
The identification of oscillatory neural markers of Parkinson's disease (PD) can contribute not only to the understanding of functional mechanisms of the disorder, but may also serve in adaptive deep brain stimulation (DBS) systems. These systems see...
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