Network-wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum

Alzheimers Dement (Amst). 2022 Apr 26;14(1):e12304. doi: 10.1002/dad2.12304. eCollection 2022.

Abstract

Background: Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker-defined amyloid/tau/neurodegeneration (A/T/N) groups.

Method: We computed correlations between cortical thickness and fluorodeoxyglucose metabolism within 12 functional brain networks. Differences among A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non-AD pathologic change [SNAP]) in network concordance and relationships to longitudinal change in cognition were assessed.

Results: Network-wise markers of concordance distinguish SNAP subjects from BN subjects within the posterior multimodal and language networks. AD-continuum subjects showed increased concordance in 9/12 networks assessed compared to BN subjects, as well as widespread atrophy and hypometabolism. Baseline network concordance was associated with longitudinal change in a composite memory variable in both SNAP and AD-continuum subjects.

Conclusions: Our novel study investigates the interrelationships between atrophy and hypometabolism across brain networks in A/T/N groups, helping disentangle the structure-function relationships that contribute to both clinical outcomes and diagnostic uncertainty in AD.

Keywords: Alzheimer's disease; atrophy; biomarkers; concordance; concordance of atrophy and hypometabolism; fluorodeoxyglucose positron emission tomography; hypometabolism; magnetic resonance imaging; magnetic resonance imaging and fluorodeoxyglucose positron emission tomography concordance; multimodal neuroimaging; structure–function relationships; suspected non‐Alzheimer's disease pathologic change.