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Amyloid-β deposition predicts oscillatory slowing of magnetoencephalography signals and a reduction of functional connectivity over time in cognitively unimpaired adults

  • Elliz P. Scheijbeler*
  • , Willem de Haan
  • , Emma M. Coomans
  • , Anouk den Braber
  • , Jori Tomassen
  • , Mara ten Kate
  • , Elles Konijnenberg
  • , Lyduine E. Collij
  • , Elsmarieke van de Giessen
  • , Frederik Barkhof
  • , Pieter Jelle Visser
  • , Cornelis J. Stam
  • , Alida A. Gouw
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

With the ongoing developments in the field of anti-amyloid therapy for Alzheimer’s disease, it is crucial to better understand the longitudinal associations between amyloid-β deposition and altered network activity in the living human brain. We included 110 cognitively unimpaired individuals (67.9 ± 5.7 years), who underwent [ 18F]flutemetamol (amyloid-β)-PET imaging and resting-state magnetoencephalography (MEG) recording at baseline and 4-year follow-up. We tested associations between baseline amyloid-β deposition and MEG measures (oscillatory power and functional connectivity). Next, we examined the relationship between baseline amyloid-β deposition and longitudinal MEG measures, as well as between baseline MEG measures and longitudinal amyloid-β deposition. Finally, we assessed associations between longitudinal changes in both amyloid-β deposition and MEG measures. Analyses were performed using linear mixed models corrected for age, sex and family. At baseline, amyloid-β deposition in orbitofrontal-posterior cingulate regions (i.e. early Alzheimer’s disease regions) was associated with higher theta (4–8 Hz) power (β = 0.17, P < 0.01) in- and lower functional connectivity [inverted Joint Permutation Entropy (JPE inv) theta, β = −0.24, P < 0.001] of these regions, lower whole-brain beta (13–30 Hz) power (β = −0.13, P < 0.05) and lower whole-brain functional connectivity (JPE inv theta, β = −0.18, P < 0.001). Whole-brain amyloid-β deposition was associated with higher whole-brain theta power (β = 0.17, P < 0.05), lower whole-brain beta power (β = −0.13, P < 0.05) and lower whole-brain functional connectivity (JPE inv theta, β = −0.21, P < 0.001). Baseline amyloid-β deposition in early Alzheimer’s disease regions also predicted future oscillatory slowing, reflected by increased theta power over time in early Alzheimer’s disease regions and across the whole brain (β = 0.11, β = 0.08, P < 0.001), as well as decreased whole-brain beta power over time (β = −0.04, P < 0.05). Baseline amyloid-β deposition in early Alzheimer’s disease regions also predicted a reduction in functional connectivity between these regions and the rest of the brain over time (JPE inv theta, β = −0.07, P < 0.05). Baseline whole-brain amyloid-β deposition was associated with increased whole-brain theta power over time (β = 0.08, P < 0.01). Baseline MEG measures were not associated with longitudinal amyloid-β deposition. Longitudinal changes in amyloid-β deposition in early Alzheimer’s disease regions were associated with longitudinal changes in functional connectivity of early Alzheimer’s disease regions (JPE inv theta, β = −0.19, P < 0.05) and the whole brain [corrected amplitude envelope correlations alpha (8–13 Hz), β = −0.22, P < 0.05]. Finally, longitudinal changes in whole-brain amyloid-β deposition were associated with longitudinal changes in whole-brain relative theta power (β = 0.21, P < 0.05). Disruptions of oscillatory power and functional connectivity appear to represent early functional consequences of emerging amyloid-β deposition in cognitively unimpaired individuals. These findings suggest a role for neurophysiology in monitoring disease progression and potential treatment effects in pre-clinical Alzheimer’s disease.

Original languageEnglish
Article numberfcaf018
Number of pages15
JournalBrain Communications
Volume7
Issue number1
DOIs
Publication statusPublished - 25 Feb 2025

Keywords

  • Alzheimer's disease
  • longitudinal
  • PET
  • neurophysiology
  • ALZHEIMERS-DISEASE
  • NEURONAL-ACTIVITY
  • BRAIN ACTIVITY
  • MEG
  • EEG
  • BIOMARKER
  • NETWORKS
  • DYNAMICS
  • MODEL
  • INTERFERENCE

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