Abstract

AbstractBackgroundAlzheimer’s disease (AD) is a multifactorial disease, characterized not only by pathological protein aggregation (Ab and tau), but also by early vascular dysfunctions and functional connectivity alterations (Iturria‐Medina 2016; van der Kant 2019). The study objective was to investigate the association between different markers of vascular health as well as brain β‐amyloid burden and brain network functional connectivity across the AD spectrum.MethodThe sample included 131 participants with normal cognition, subjective cognitive decline, mild cognitive impairment and clinical AD from the IMAP cohort (Caen, France). Vascular risk factors comprised mean arterial pressure, body‐mass‐index (BMI), glycemia and HbA1c levels. White matter hyperintensities (WMH) were segmented from FLAIR‐MRI using the “lesion‐segmentation‐tool” (Schmidt, 2017). Brain β‐amyloid burden was measured by the mean of AV45‐SUVR in an AD‐related neocortex mask (LaJoie 2012). Resting‐state functional connectivity (RSFC) was determined within seven predefined functional networks (Schaefer 2018, Verfaillie 2018). Partial correlation analyses were run to assess associations of vascular risk factors, total WMH load and β‐amyloid burden with RSFC. Additionally, we tested for interaction effects with β‐amyloid status in linear regression analyses. All models were age‐ and sex‐adjusted.ResultParticipant characteristics are presented in Figure 1. Across all participants, higher BMI and higher glycemia were associated with lower RSFC within the default‐mode, salience/ventral‐attention, fronto‐parietal and dorsal‐attention networks (Figure 2 and 3). Results remained significant after correction for diagnostic group status. No associations were found between RSFC and total WMH load or β‐amyloid burden (p≥0.05). There were no significant moderation effects by β‐amyloid positivity (p≥0.05).ConclusionThese findings demonstrate that metabolic‐related vascular risk factors, but not cerebrovascular or β‐amyloid pathologies, are associated with functional connectivity specifically within cognition‐related functional networks. Our study further highlights that connectivity alterations associated with metabolic risk, previously shown in diabetes patients (Musen 2012; Chen 2015), are also present in a non‐diabetic aging and AD cohort. Given that functional connectivity supports reserve capacity, connectivity failure within higher‐order networks may limit resilience against aging and pathological processes.

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