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Dynamic functional connectivity changes in dementia with Lewy bodies and Alzheimer's disease

Lookup NU author(s): Julia Schumacher, Dr Luis Peraza Rodriguez, Dr Michael Firbank, Professor Alan Thomas, Professor Marcus Kaiser, Dr Peter Gallagher, Professor John O'Brien, Professor Andrew Blamire, Professor John-Paul Taylor

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


Abstract

© 2019 We studied the dynamic functional connectivity profile of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) compared to controls, how it differs between the two dementia subtypes, and a possible relation between dynamic connectivity alterations and temporally transient clinical symptoms in DLB. Resting state fMRI data from 31 DLB, 29 AD, and 31 healthy control participants were analyzed using dual regression to determine between-network functional connectivity. Subsequently, we used a sliding window approach followed by k-means clustering and dynamic network analyses to study dynamic functional connectivity. Dynamic connectivity measures that showed significant group differences were tested for correlations with clinical symptom severity. Our results show that AD and DLB patients spent more time than controls in sparse connectivity configurations with absence of strong positive and negative connections and a relative isolation of motor networks from other networks. Additionally, DLB patients spent less time in a more strongly connected state and the variability of global brain network efficiency was reduced in DLB compared to controls. There were no significant correlations between dynamic connectivity measures and clinical symptom severity. An inability to switch out of states of low inter-network connectivity into more highly and specifically connected network configurations might be related to the presence of dementia in general as it was observed in both AD and DLB. In contrast, the loss of global efficiency variability in DLB might indicate the presence of an abnormally rigid brain network and the lack of economical dynamics, factors which could contribute to cognitive slowing and an inability to respond appropriately to situational demands.


Publication metadata

Author(s): Schumacher J, Peraza LR, Firbank M, Thomas AJ, Kaiser M, Gallagher P, O'Brien JT, Blamire AM, Taylor J-P

Publication type: Article

Publication status: Published

Journal: NeuroImage: Clinical

Year: 2019

Volume: 22

Online publication date: 03/04/2019

Acceptance date: 02/04/2019

Date deposited: 24/04/2019

ISSN (electronic): 2213-1582

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.nicl.2019.101812

DOI: 10.1016/j.nicl.2019.101812


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