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dc.date.accessioned2021-04-14T19:09:53Z
dc.date.available2021-04-14T19:09:53Z
dc.date.issued2021-02
dc.identifier.citationMiriam Vignando, View ORCID ProfileDominic ffytche, Simon Lewis, Phil Hyu Lee, Seok Jong Chung, Rimona S Weil, Michele T Hu, Clare Mackay, Ludovica Griffanti, Delphine Pins, Kathy Dujardin, Renaud Jardri, John-Paul Taylor, Michael Firbank, Grainne McAlonan, Henry Ka-Fung Mak, Shu Leong Ho, Mitul Mehta. Mapping brain structural differences and neuroreceptor correlates in Parkinson's disease visual hallucinations: a mega-analysis. medRxiv preprint 19.02.2021en
dc.identifier.urihttps://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/775
dc.description.abstractParkinson’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 apply new methodological approaches to identify cortical regions and networks involved in VH and their relation to receptor binding. Differences of cortical thickness and surface area show a wider cortical involvement underlying VH than previously recognised, including primary visual cortex and its surrounds, and the hippocampus, independent of its role in cognitive decline. Structural covariance analyses point to a strong involvement of the attentional control networks in PD-VH, while associations with receptor density maps suggest neurotransmitter loss may drive the cortical changes.en
dc.description.sponsorshipSupported by the NIHRen
dc.description.urihttps://doi.org/10.1101/2021.02.17.21251558en
dc.language.isoenen
dc.subjectParkinson's Diseaseen
dc.subjectPsychosisen
dc.titleMapping brain structural differences and neuroreceptor correlates in Parkinson's disease visual hallucinations: a mega-analysisen
dc.typePreprinten


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