bioRxivNeurosciencePreprint
Theta band-power shapes amyloid-driven longitudinal EEG changes in pre-clinical Alzheimer's Disease
Giuseppe SpinelliiD, Hovagim BakardjianiD, Denis SchwartziD, Marie‐Claude PotieriD, Marie‐Odile HabertiD, Marcel LévyiD, Bruno DuboisiD, Nathalie GeorgeiD
Abstract
Alzheimers Disease (AD) includes progressive symptoms spread along a continuum of pre-clinical (pre-AD) and clinical stages. Pre-AD refers to cognitively healthy individuals with presence of positive pathophysiological biomarkers of AD (i.e., markers of amyloidopathy and tauopathy). Although numerous studies uncovered the neuro-cognitive changes of AD, very little is known on the natural history of brain lesions and modifications of brain networks of pre-AD. To address this issue, we analysed resting-state EEG data of 318 cognitively healthy individuals with subjective memory complains from the INSIGHT-preAD cohort at the time of their first visit (M0) and two-years later (M24). Using 18F-florbetapir PET-scanner, subjects were stratified between amyloid positive (A-; n=230) and amyloid negative (A+; n=88) groups. Differences between A+ and A- individuals were estimated at source level in each band of the EEG power spectrum. At M0, we found an increase of theta-band power in the mid-frontal cortex in A+ compared to A-. No significant association was found between mid-frontal theta power and the individuals cognitive performance. While the very same effect was not replicated at M24, theta-band power increased in A+ relative to A- individuals in the posterior cingulate cortex and the pre-cuneus. Furthermore, alpha band revealed a peculiar decremental trend in posterior brain regions in the A+ relative to the A- group only at M24. These results provide the first source-level longitudinal evidence on the impact of brain amyloidosis on the EEG dynamics of a large-scale, monocentric cohort of pre-AD. Theta-band power increase over the mid-frontal and mid-posterior cortices suggests an hypoactivation of the default-mode network in individuals at-risk of AD and a non-linear longitudinal progression of the AD-spectrum.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 3
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Episodic memory ERPs reflect preclinical Alzheimers disease progression
Filipa Raposo Pereira, Maximilien Chaumon, … INSIGHT-preAD study group·bioRxiv·Jul 17, 2026
- Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes
Martina Kopčanová, Luke Tait, … Christopher Benwell·Neurobiology of DiseasePeer-reviewed·Dec 17, 2023
- Neurophysiological trajectories in Alzheimer's disease progression
Kiwamu Kudo, Kamalini G. Ranasinghe, … Srikantan S. Nagarajan·eLifePeer-reviewed·Oct 9, 2023
- Cortical thickness changes precede high levels of amyloid by at least seven years
James M. Roe, William Jagust, … Yunpeng Wang·bioRxiv·Aug 14, 2025
- Greater Amyloid Burden in Cognitive Networks in Preclinical Alzheimer's Disease
Sara A. Nolin, Stephanie Aghamoosa, … Andreana M. Benitez·Journal of Alzheimer s DiseasePeer-reviewed·Oct 8, 2026
- Alterations in resting-state network dynamics along the Alzheimer's disease continuum: a combined MEG-PET/MR approach
Delphine Puttaert, Nicolas Coquelet, … Xavier De Tiège·bioRxiv·May 18, 2020