AIMC Topic: Dystonia
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Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity.
International journal of neural systems
Nov 19, 2024
Paroxysmal kinesigenic dyskinesia (PKD) is a rare neurological disorder marked by transient involuntary movements triggered by sudden actions. Current diagnostic approaches, including genetic screening, face challenges in identifying secondary cases ...
Robot-assisted bilateral deep brain electrode implantation to treat isolated oromandibular dystonia.
Asian journal of surgery
Mar 8, 2023
Real-time machine learning classification of pallidal borders during deep brain stimulation surgery.
Journal of neural engineering
Jan 6, 2020
OBJECTIVE: Deep brain stimulation (DBS) of the internal segment of the globus pallidus (GPi) in patients with Parkinson's disease and dystonia improves motor symptoms and quality of life. Traditionally, pallidal borders have been demarcated by electr...
Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.
Computational intelligence and neuroscience
Oct 19, 2017
Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. Th...
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