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Single-subject gray matter networks predict future cortical atrophy in preclinical Alzheimer's disease

Dicks, E; Van der Flier, WM; Scheltens, P; Barkhof, F; Tijms, BM; Alzheimer's Disease Neuroimaging Initiative; (2020) Single-subject gray matter networks predict future cortical atrophy in preclinical Alzheimer's disease. Neurobiology of Aging , 94 pp. 71-80. 10.1016/j.neurobiolaging.2020.05.008. Green open access

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Abstract

The development of preventive strategies in early-stage Alzheimer's disease (AD) requires measures that can predict future brain atrophy. Gray matter network measures are related to amyloid burden in cognitively normal older individuals and predict clinical progression in preclinical AD. Here, we show that within individuals with preclinical AD, gray matter network measures predict hippocampal atrophy rates, whereas other AD biomarkers (total gray matter volume, cerebrospinal fluid total tau, and Mini-Mental State Examination) do not. Furthermore, in brain areas where amyloid is known to start aggregating (i.e. anterior cingulate and precuneus), disrupted network measures predict faster atrophy in other distant areas, mostly involving temporal regions, which are associated with AD. When repeating analyses in age-matched, cognitively unimpaired individuals without amyloid or tau pathology, we did not find any associations between network measures and hippocampal atrophy, suggesting that the associations are specific for preclinical AD. Our findings suggest that disrupted gray matter networks may indicate a treatment opportunity in preclinical AD individuals but before the onset of irreversible atrophy and cognitive impairment.

Type: Article
Title: Single-subject gray matter networks predict future cortical atrophy in preclinical Alzheimer's disease
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neurobiolaging.2020.05.008
Publisher version: https://doi.org/10.1016/j.neurobiolaging.2020.05.0...
Language: English
Additional information: Copyright © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Alzheimer's disease, Amyloid, Atrophy, Preclinical, Single-subject gray matter networks
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
URI: https://discovery.ucl.ac.uk/id/eprint/10105059
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