Amyloid-driven disruption of default mode network connectivity in cognitively healthy individuals

Author:

Ingala Silvia1ORCID,Tomassen Jori2ORCID,Collij Lyduine E1ORCID,Prent Naomi234,van ‘t Ent Dennis5ORCID,ten Kate Mara12,Konijnenberg Elles2ORCID,Yaqub Maqsood1ORCID,Scheltens Philip2ORCID,de Geus Eco J C5ORCID,Teunissen Charlotte E6ORCID,Tijms Betty2ORCID,Wink Alle Meije1ORCID,Barkhof Frederik17ORCID,van Berckel Bart N M1ORCID,Visser Pieter Jelle2ORCID,den Braber Anouk25ORCID

Affiliation:

1. Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Location VUmc, 1081 HZ Amsterdam, The Netherlands

2. Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Location VUmc, 1081 HZ Amsterdam, The Netherlands

3. Faculty of Behavioral and Movement Sciences, Section Clinical Neuropsychology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands

4. Vesalius, Centre for Neuropsychiatry, GGZ Altrecht, 3447 GM Woerden, The Netherlands

5. Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Amsterdam, 1081 HV Amsterdam, The Netherlands

6. Department of Clinical Chemistry, Neurochemistry Laboratory, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands

7. Institute of Neurology and Healthcare Engineering, University College London, WC1E 6BT London, UK

Abstract

Abstract Cortical accumulation of amyloid beta is one of the first events of Alzheimer’s disease pathophysiology, and has been suggested to follow a consistent spatiotemporal ordering, starting in the posterior cingulate cortex, precuneus and medio-orbitofrontal cortex. These regions overlap with those of the default mode network, a brain network also involved in memory functions. Aberrant default mode network functional connectivity and higher network sparsity have been reported in prodromal and clinical Alzheimer’s disease. We investigated the association between amyloid burden and default mode network connectivity in the preclinical stage of Alzheimer’s disease and its association with longitudinal memory decline. We included 173 participants, in which amyloid burden was assessed both in CSF by the amyloid beta 42/40 ratio, capturing the soluble part of amyloid pathology, and in dynamic PET scans calculating the non-displaceable binding potential in early-stage regions. The default mode network was identified with resting-state functional MRI. Then, we calculated functional connectivity in the default mode network, derived from independent component analysis, and eigenvector centrality, a graph measure recursively defining important nodes on the base of their connection with other important nodes. Memory was tested at baseline, 2- and 4-year follow-up. We demonstrated that higher amyloid burden as measured by both CSF amyloid beta 42/40 ratio and non-displaceable binding potential in the posterior cingulate cortex was associated with lower functional connectivity in the default mode network. The association between amyloid burden (CSF and non-displaceable binding potential in the posterior cingulate cortex) and aberrant default mode network connectivity was confirmed at the voxel level with both functional connectivity and eigenvector centrality measures, and it was driven by voxel clusters localized in the precuneus, cingulate, angular and left middle temporal gyri. Moreover, we demonstrated that functional connectivity in the default mode network predicts longitudinal memory decline synergistically with regional amyloid burden, as measured by non-displaceable binding potential in the posterior cingulate cortex. Taken together, these results suggest that early amyloid beta deposition is associated with aberrant default mode network connectivity in cognitively healthy individuals and that default mode network connectivity markers can be used to identify subjects at risk of memory decline.

Funder

European Prevention of Alzheimer’s Dementia

Amyloid Imaging to prevent Alzheimer’s disease

European Medical Information Framework

National Institute for Health Research (NIHR) biomedical research centre at University College London Hospital

European Union’s Horizon 2020 research and innovation programme

European Commission

Health Holland

Dutch Research Council—Zorg Onderzoek Nederland and the area Medical Sciences—ZonMW

The Weston Brain Institute

Alzheimer Netherlands

Alzheimer Association

ADx NeuroSciences and Euroimmun, and the PET-tracer

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NOW)-Groot

Publisher

Oxford University Press (OUP)

Subject

General Earth and Planetary Sciences,General Environmental Science

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