Mapping brain structural differences and neuroreceptor correlates in Parkinson’s disease visual hallucinations

Miriam Vignando (), Dominic Ffytche, Simon J. G. Lewis, Phil Hyu Lee, Seok Jong Chung, Rimona S. Weil, Michele T. Hu, Clare E. Mackay, Ludovica Griffanti, Delphine Pins, Kathy Dujardin, Renaud Jardri, John-Paul Taylor, Michael Firbank, Grainne McAlonan, Henry K. F. Mak, Shu Leong Ho and Mitul A. Mehta
Additional contact information
Miriam Vignando: Institute of Psychiatry, Psychology and Neuroscience
Dominic Ffytche: Institute of Psychiatry, Psychology and Neuroscience
Simon J. G. Lewis: University of Sydney
Phil Hyu Lee: Yonsei University College of Medicine
Seok Jong Chung: Yonsei University College of Medicine
Rimona S. Weil: University College London
Michele T. Hu: Oxford Parkinson’s Disease Centre
Clare E. Mackay: Oxford Parkinson’s Disease Centre
Ludovica Griffanti: Oxford Parkinson’s Disease Centre
Delphine Pins: Univ. Lille, Inserm, CHU Lille, U1172 - Centre Lille Neuroscience & Cognition
Kathy Dujardin: Univ. Lille, Inserm, CHU Lille, U1172 - Centre Lille Neuroscience & Cognition
Renaud Jardri: Univ. Lille, Inserm, CHU Lille, U1172 - Centre Lille Neuroscience & Cognition
John-Paul Taylor: Newcastle University, Translational and Clinical Research Institute
Michael Firbank: Newcastle University, Translational and Clinical Research Institute
Grainne McAlonan: Institute of Psychiatry, Psychology and Neuroscience
Henry K. F. Mak: University of Hong Kong
Shu Leong Ho: University of Hong Kong
Mitul A. Mehta: Institute of Psychiatry, Psychology and Neuroscience

Nature Communications, 2022, vol. 13, issue 1, 1-16

Abstract: Abstract Parkinson’s psychosis (PDP) describes a spectrum of symptoms that may arise in Parkinson’s disease (PD) including visual hallucinations (VH). Imaging studies investigating the neural correlates of PDP have been inconsistent in their findings, due to differences in study design and limitations of scale. Here we use empirical Bayes harmonisation to pool together structural imaging data from multiple research groups into a large-scale mega-analysis, allowing us to identify cortical regions and networks involved in VH and their relation to receptor binding. Differences of morphometrics analysed show a wider cortical involvement underlying VH than previously recognised, including primary visual cortex and surrounding regions, and the hippocampus, independent of its role in cognitive decline. Structural covariance analyses point to the involvement of the attentional control networks in PD-VH, while associations with receptor density maps suggest neurotransmitter loss may be linked to the cortical changes.

Date: 2022
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DOI: 10.1038/s41467-022-28087-0

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