Brain networks in Parkinson's Disease Psychosis
Using graph theoretical approaches and resting fMRI data to better characterise the neural fingerprints of visual hallucinations in Parkinson’s Disease. This includes (i) evaluating group differences in FC in terms of both Von Economo cytoarchitectonic principles and well-established functional connectivity networks, (ii) NBS analyses, and (iii) machine learning approaches to identify patterns of covariance between rsfMRI networks and cognitive and clinical biomarkers of interest (cognitive tasks, MCI tests, cerebrospinal fluid biomarkers such as β-Amyloid, T-Tau and α-Synuclein)
- Longitudinal Morphometric Similarity Networks
- Cognitive Decline in Parkinson's Psychosis
- Cognition, hallucination severity and hallucination-specific insight in neurodegenerative disorders and eye disease
- Cognitive And Visual Processing Performance In Parkinson’s Disease Patients With vs Without Visual Hallucinations: A Multilevel Meta-Analysis.
- The neural basis of psychosis in Parkinson’s disease.