Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27806
Title: APOE ε4 positivity predicts centrality of episodic memory nodes in patients with mild cognitive impairment: A cohort-based, graph theory-informed study of cognitive networks
Authors: De Marco, M
Wright, LM
Valera Bermejo, JM
Ferguson, CE
Keywords: cognition;network neuropsychology;neuropsychological tests;genetics;apolipoprotein
Issue Date: 29-Nov-2023
Publisher: Elsevier
Citation: De Marco, M. et al. (2023) 'APOE ε4 positivity predicts centrality of episodic memory nodes in patients with mild cognitive impairment: A cohort-based, graph theory-informed study of cognitive networks', Neuropsychologia, 192, 108741, pp. 1 - 11. doi: 10.1016/j.neuropsychologia.2023.108741.
Abstract: Copyright © 2023 The Authors. As network neuroscience can capture the systemic impact of APOE variability at a neuroimaging level, this study investigated the network-based cognitive endophenotypes of ε4-carriers and non-carriers across the continuum between normal ageing and Alzheimer's dementia (AD). We hypothesised that the impact of APOE-ε4 on cognitive functioning can be reliably captured by the measurement of graph-theory centrality. Cognitive networks were calculated in 8118 controls, 3482 MCI patients and 4573 AD patients, recruited in the National Alzheimer's Coordinating Center (NACC) database. Nodal centrality was selected as the neurofunctional readout of interest. ε4-carrier-vs.-non-carrier differences were tested in two independent NACC sub-cohorts assessed with either Version 1 or Version 2 of the Uniform Data Set. A significant APOE-dependant effect emerged from the analysis of the Logical-Memory nodes in MCI patients in both sub-cohorts. While non-carriers showed equal centrality in immediate and delayed recall, the latter was significantly less central among carriers (v1: bootstrapped confidence interval 0.107–0.667, p < 0.001; v2: bootstrapped confidence interval 0.018–0.432, p < 0.001). This indicates that, in carriers, delayed recall was, overall, significantly more weakly correlated with the other cognitive scores. These findings were replicated in the sub-groups of sole amnestic-MCI patients (n = 2971), were independent of differences in network communities, clinical severity or other demographic factors. No effects were found in the other two diagnostic groups. APOE-ε4 influences nodal properties of cognitive networks when patients are clinically classified as MCI. This highlights the importance of characterising the impact of risk factors on the wider cognitive network via network-neuroscience methodologies.
Description: Data availability: Data used in this study was obtained from the National Alzheimer’s Coordinating Center initiative (https://naccdata.org/).
Supplementary data are available online at: https://www.sciencedirect.com/science/article/pii/S0028393223002750?via=ihub#appsec1 .
URI: https://bura.brunel.ac.uk/handle/2438/27806
DOI: https://doi.org/10.1016/j.neuropsychologia.2023.108741
ISSN: 0028-3932
Other Identifiers: ORCID iD: Matteo De Marco https://orcid.org/0000-0002-9240-8067
108741
Appears in Collections:Dept of Life Sciences Research Papers

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