EEG connectivity in Parkinson disease: a comparative analysis of sporadic and genetic forms in ON/OFF therapy.
Objective: The study aims to compare the connectivity profile of patients affected by sporadic and genetic Parkinson's disease in different levodopa conditions through the analysis…Characterizing the Neural Signature of Parkinsonian Freezing of Gait During an Immersive Virtual Reality Paradigm
Objective: To characterize the neural signature of Freezing of gait (FOG) in Parkinson’s disease (PD) across multiple types of triggers. Background: FOG is among the…Basal Ganglia Physiomarkers of Non-motor Symptoms in Parkinson’s Disease: a Systematic Review
Objective: To systematically review the evidence linking basal ganglia local field potentials to non-motor symptoms in Parkinson’s disease. Background: Deep brain stimulation for Parkinson’s disease…A Biomarker-Directed Approach to the Early Diagnosis of Parkinson’s Disease Using Artificial Intelligence and Machine Learning
Objective: The main purpose of this study was to assess how AI and ML methods integrate multiple biomarkers for diagnosing Parkinson’s Disease (PD) to improve…Artificial Intelligence in the Early Detection of Parkinson’s Disease: Advances, Challenges, and Future Perspectives
Objective: This study reviews AI’s role in early PD detection, comparing AI-driven diagnostic methods with conventional clinical approaches in accuracy, reliability, and applicability. Background: Parkinson’s…Glial interaction with Parkinsonian disorders biomarkers: alpha-synuclein, dopaminergic dysfunction and clinical stages
Objective: We aim to investigated the relationship between glial markers and Parkinson's disease. Background: Neuronal α-Synuclein Disease (NSD) has recently been proposed as a framework for…Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning
Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…Subthalamic β frequency oscillatory activity is modulated by self-paced wrist movement
Objective: To explore whether subthalamic β oscillatory neurons are associated with the initiation of voluntary movement in patients with Parkinson’s disease (PD). Background: The basal…Towards automated deep brain stimulation programming using neurophysiology and artificial intelligence
Objective: To develop a machine learning (ML) algorithm capable of predicting the optimal deep brain stimulation (DBS) contact based on neurophysiology. Background: DBS is an…TMS-EEG Provides Objective Neurophysiological Measures of Motor Fluctuations in Parkinson’s Disease
Objective: To assess the correlates TMS evoked potentials (TEPs) measurements changes representing interhemispheric transmission to the change in motor symptoms in 'off' versus 'on' states.…
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