Default mode network in patients with parkinson?s disease dementia: an fMRI study

Abstract

Event Abstract Back to Event Default mode network in patients with parkinson’s disease dementia: an fMRI study Lenka Krajcovicova1*, Michal Mikl1, Radek Marecek1 and Irena Rektorova1 1 First Department of Neurology, St Anne’s Hospital, Czechia We evaluated the default mode network (DMN) and the resting state network involved in visual processing (V-RSN) in 14 patients with Parkinson’s disease dementia (PDD) as compared to 18 patients with Parkinson’s disease (PD) without dementia and 18 healthy controls (HC). For the data processing we used independent component analysis (ICA) of resting state data and fMRI bold signal decreases (deactivations) during the visual complex scene-encoding task. The seed-based functional connectivity (FC) using both ICA and deactivations was then assessed with a seed located in the left posterior cingulate cortex/precuneus (PCC/P) and in the right caudate nucleus (CN). Typical areas involved in the DMN were identified in all three groups. Using the PCC/C as a seed for the FC analysis of deactivations, we observed significant decreases of connectivity in the right inferior frontal gyrus and the left posterior superior temporal sulcus in PDD as compared to PD (p < .05; FWE corrected; cluster level inference). The strength of FC in both areas was positively correlated with overall cognitive performance. The FC analysis of our resting state data with a seed in the CN was significantly decreased in the left inferior occipital gyrus in PDD as compared to HC (p < .05; FWE corrected; cluster level inference). The magnitude of FC in this region was positively correlated with performance of a memory recognition task. Changes in connectivity occurred in areas outside of the DMN that had been described as parts of task-positive networks engaged in reorienting of attention and multisensory integration. In PDD as compared to PD/ HC we further demonstrated disturbances of the resting-state network involved in visual processing. Funding: The study was supported by the MSM 0021622404 research grant. Keywords: Dementia, Neuropsychiatry Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Poster Presentation Topic: Poster Sessions: Neuropsychiatric Applications Citation: Krajcovicova L, Mikl M, Marecek R and Rektorova I (2011). Default mode network in patients with parkinson’s disease dementia: an fMRI study. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00110 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 16 Nov 2011; Published Online: 25 Nov 2011. * Correspondence: Dr. Lenka Krajcovicova, First Department of Neurology, St Anne’s Hospital, Brno, Czechia, krajcovicova@fnusa.cz Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Lenka Krajcovicova Michal Mikl Radek Marecek Irena Rektorova Google Lenka Krajcovicova Michal Mikl Radek Marecek Irena Rektorova Google Scholar Lenka Krajcovicova Michal Mikl Radek Marecek Irena Rektorova PubMed Lenka Krajcovicova Michal Mikl Radek Marecek Irena Rektorova Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.