Objective This study seeks to systematically review the selection of features and algorithms
for machine learning and automation in deep brain stimulation surgery (DBS) for Parkinson's …

The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …

Objective This systematic review is conducted to identify, compare, and analyze
neurophysiological feature selection, extraction, and classification to provide a …

Optimal electrophysiological placement of the DBS electrode may lead to better long term
clinical outcomes. Inter-subject anatomical variability and limitations in stereotaxic …

Background Deep brain stimulation (DBS) in the centromedian-parafascicular complex (CM-
pf) has been reported as a potential therapeutic option for disorders of consciousness …

Alongside stereotactic magnetic resonance imaging, microelectrode recording (MER) is
frequently used during the deep brain stimulation (DBS) surgery for optimal target …

The subthalamic nucleus (STN) is considered the best target for deep brain stimulation
treatments of Parkinson's disease (PD). It is difficult to localize the STN due to its small size …

Background Deep Brain Stimulation (DBS), applying chronic electrical stimulation of
subcortical structures, is a clinical intervention applied in major neurologic disorders. In …

Objective. Suboptimal electrode placement during subthalamic nucleus deep brain
stimulation (STN DBS) surgery may arise from several sources, including frame-based …

The purpose of this study is to quantify the distributions of the electric field induced by
CoFe2O4 core-BaTiO3 shell magneto-electric nanoparticles (MENPs) when localized in …