From Images to Insights: Subtyping Parkinson’s Disease Using Unsupervised Learning on MRI Data
Objective: To explore the heterogeneity of Parkinson's disease (PD) using unsupervised clustering of neuroimaging data, aiming to identify distinct subtypes based on volumetric features. Background:…Regional Brain Volume Differences Across PD Clinical Subtypes
Objective: To investigate brain morphometric differences across Parkinson disease (PD) clinical subtypes. Background: We developed a PD subtype classification with three subtypes that includes motor…Deep brain stimulation Intraoperative imaging: False errors in the era of artificial intelligence
Objective: To assess the precision of Deep Brain Stimulation (DBS) electrode placement within Subthalamic nucleus (STN) using Advanced Imaging and artificial intelligence, considering the challenges…Deposition of phosphorylated TDP-43 around the tip of deep brain stimulation leads
Objective: The objective of this study is to investigate the depositions of abnormal proteins, including phosphorylated tau (p-tau) and phosphorylated transactivation response DNA-binding protein of…Evaluation of the results of neuromodulation of the Subthalamic Nucleus (STN) in patients with Parkinson’s Disease (PD) depending on the anesthesia used during stereotactic electrode implantation.
Objective: Comparison of the efficacy of STN neuromodulation after surgical intervention with Monitored Anesthesia Care (MAC) and using general anesthesia (GA). Background: The effectiveness of…MRgFUS thalamotomy for tremor-predominant Parkinson´s disease: a single-center prospective study
Objective: To examine the clinical outcomes and their relationship with lesion characteristics at 6-month follow-up in TDPD patients Background: Clinical outcomes and lesion features after…Artificial Intelligence and Visual Analysis of Movements in Parkinson’s Disease
Objective: To evaluate the use of artificial intelligence in the analysis and classification of movements in Parkinson's disease. Background: Artificial intelligence (AI) is a powerful…Acceptability and user experience of the electronic versions of the MDS-UPDRS and MDS-NMS scales
Objective: This study aims to evaluate the user experience of the newly developed electronic versions of the MDS Unified Parkinson's Disease Rating Scale (e-MDS-UPDRS) and…Identification of Fall Risk in Patients with Parkinson’s Disease Through Telemonitoring
Objective: This work presents an analysis of real-world, device-reported outcomes from patients with Parkinson’s disease (PD) in Greece. A total of 82 patients were included…Handwriting Features in Patients with Isolated REM Sleep Behaviour Disorder
Objective: To assess iRBD patients’ handwriting features and develop a rating scale capable of detecting early hallmarks of disease. Background: Handwriting changes, such as micrographia,…
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