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fMRI resting state connectivity in Parkinson's with mild cognitive impairment

Lookup NU author(s): Dr David Nesbitt, Dr Luis Peraza Rodriguez, Dr Rachael Lawson, Dr Alison Yarnall, Dr Michael Firbank, Dr John-Paul Taylor, Professor David Burn

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Objective: To compare resting state connectivity between patients with Parkinson’s, Parkinson’s associated mild cognitive impairment (MCI) and healthy-matched controls. Background: The non-motor aspects of Parkinson’s are often under-recognised and undertreated. For example, an ever-increasing number of patients will develop Parkinson’s dementia. MCI can be present in the early stages of Parkinson’s, with evidence it may be a risk factor for the development of dementia. Previously, resting state functional magnetic resonance imaging (fMRI) has shown disruption to networks important for normal cognitive function in patients with Parkinson’s. Methods: The fMRI data for 121 patients with a new diagnosis of Parkinson’s, 47 patients with associated MCI and 32 controls was analysed. A dual regression approach was used to identify resting state functional connectivity changes. Results: Patients with MCI demonstrated altered connectivity in several resting state networks, compared to healthy controls and patients without MCI. Increased connectivity, associated with the default mode network (DMN) and the salience network, was found in patients with MCI when compared to controls and patients without MCI. Conclusions: Disruption to networks such as the DMN, important in coordinating the activity of other cognitive networks, along with disruption to the salience network, thought to be important for attentional processes, may underpin the cognitive deficits seen in Parkinson’s patients with MCI.


Publication metadata

Author(s): Nesbitt D, Peraza LR, Lawson R, Yarnall A, Firbank M, Taylor J-P, Burn D

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Parkinson's UK Research Conference

Year of Conference: 2014

Pages: 81

Print publication date: 04/11/2014

URL: http://www.parkinsons.org.uk/


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