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Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease

Patients with Parkinson's disease (PD) frequently suffer from visual misperceptions and hallucinations, which are difficult to objectify and quantify. We aimed to develop an image recognition task to objectify misperceptions and to assess performance fluctuations in PD patients with and without...

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Autores principales: Miloserdov, Kristina, Schmidt-Samoa, Carsten, Williams, Kathleen, Weinrich, Christiane Anne, Kagan, Igor, Bürk, Katrin, Trenkwalder, Claudia, Bähr, Mathias, Wilke, Melanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906716/
https://www.ncbi.nlm.nih.gov/pubmed/31794926
http://dx.doi.org/10.1016/j.nicl.2019.102076
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author Miloserdov, Kristina
Schmidt-Samoa, Carsten
Williams, Kathleen
Weinrich, Christiane Anne
Kagan, Igor
Bürk, Katrin
Trenkwalder, Claudia
Bähr, Mathias
Wilke, Melanie
author_facet Miloserdov, Kristina
Schmidt-Samoa, Carsten
Williams, Kathleen
Weinrich, Christiane Anne
Kagan, Igor
Bürk, Katrin
Trenkwalder, Claudia
Bähr, Mathias
Wilke, Melanie
author_sort Miloserdov, Kristina
collection PubMed
description Patients with Parkinson's disease (PD) frequently suffer from visual misperceptions and hallucinations, which are difficult to objectify and quantify. We aimed to develop an image recognition task to objectify misperceptions and to assess performance fluctuations in PD patients with and without self-reported hallucinations. Thirty-two non-demented patients with Parkinson's disease (16 with and 16 without self-reported visual hallucinations) and 25 age-matched healthy controls (HC) were tested. Participants performed a dynamic image recognition task with real and scrambled images. We assessed misperception scores and intra-individual variability in recognition times. To gain insight into possible neural mechanisms related to misperceptions and performance fluctuations we correlated resting state network connectivity to the behavioral outcomes in a subsample of Parkinson's disease patients (N = 16). We found that PD patients with self-reported hallucinations (PD-VH) exhibited higher perceptual error rates, due to decreased perceptual sensitivity and not due to changed decision criteria. In addition, PD-VH patients exhibited higher intra-individual variability in recognition times than HC or PD-nonVH patients. Both, misperceptions and intra-individual variability were negatively correlated with resting state functional connectivity involving frontal and parietal brain regions, albeit in partly different subregions. Consistent with previous research suggesting that hallucinations arise from dysfunction in attentional networks, misperception scores correlated with reduced functional connectivity between the dorsal attention and salience network. Intra-individual variability correlated with decreased connectivity between somatomotor and right fronto-parietal networks. We conclude that our task can detect visual misperceptions that are more prevalent in PD-VH patients. In addition, fluctuating visual performance appear to be a signature of PD-VH patients, which might assist further studies of the underlying pathophysiological mechanisms and cognitive processes.
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spelling pubmed-69067162019-12-20 Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease Miloserdov, Kristina Schmidt-Samoa, Carsten Williams, Kathleen Weinrich, Christiane Anne Kagan, Igor Bürk, Katrin Trenkwalder, Claudia Bähr, Mathias Wilke, Melanie Neuroimage Clin Regular Article Patients with Parkinson's disease (PD) frequently suffer from visual misperceptions and hallucinations, which are difficult to objectify and quantify. We aimed to develop an image recognition task to objectify misperceptions and to assess performance fluctuations in PD patients with and without self-reported hallucinations. Thirty-two non-demented patients with Parkinson's disease (16 with and 16 without self-reported visual hallucinations) and 25 age-matched healthy controls (HC) were tested. Participants performed a dynamic image recognition task with real and scrambled images. We assessed misperception scores and intra-individual variability in recognition times. To gain insight into possible neural mechanisms related to misperceptions and performance fluctuations we correlated resting state network connectivity to the behavioral outcomes in a subsample of Parkinson's disease patients (N = 16). We found that PD patients with self-reported hallucinations (PD-VH) exhibited higher perceptual error rates, due to decreased perceptual sensitivity and not due to changed decision criteria. In addition, PD-VH patients exhibited higher intra-individual variability in recognition times than HC or PD-nonVH patients. Both, misperceptions and intra-individual variability were negatively correlated with resting state functional connectivity involving frontal and parietal brain regions, albeit in partly different subregions. Consistent with previous research suggesting that hallucinations arise from dysfunction in attentional networks, misperception scores correlated with reduced functional connectivity between the dorsal attention and salience network. Intra-individual variability correlated with decreased connectivity between somatomotor and right fronto-parietal networks. We conclude that our task can detect visual misperceptions that are more prevalent in PD-VH patients. In addition, fluctuating visual performance appear to be a signature of PD-VH patients, which might assist further studies of the underlying pathophysiological mechanisms and cognitive processes. Elsevier 2019-11-05 /pmc/articles/PMC6906716/ /pubmed/31794926 http://dx.doi.org/10.1016/j.nicl.2019.102076 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Miloserdov, Kristina
Schmidt-Samoa, Carsten
Williams, Kathleen
Weinrich, Christiane Anne
Kagan, Igor
Bürk, Katrin
Trenkwalder, Claudia
Bähr, Mathias
Wilke, Melanie
Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease
title Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease
title_full Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease
title_fullStr Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease
title_full_unstemmed Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease
title_short Aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in Parkinson‘s disease
title_sort aberrant functional connectivity of resting state networks related to misperceptions and intra-individual variability in parkinson‘s disease
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906716/
https://www.ncbi.nlm.nih.gov/pubmed/31794926
http://dx.doi.org/10.1016/j.nicl.2019.102076
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