4.6 Article

Simultaneous Assessment of Electroencephalography Microstates and Resting State Intrinsic Networks in Alzheimer's Disease and Healthy Aging

Journal

FRONTIERS IN NEUROLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2021.637542

Keywords

EEG; fMRI; Alzheimer's disease; brain function; resting state activity

Funding

  1. German Federal Ministry of Education and Research (BMBF) [01GQ1425A]
  2. Boris Canessa Foundation

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The study revealed that compared with healthy controls, Alzheimer's disease (AD) patients show an anteriorisation of EEG microstate topologies and reduced spatial expression of default mode networks and increased frontal lobe networks in resting state functional MRI (rs-fMRI). Analysis of the time courses of EEG microstates and corresponding rs-fMRI networks found prevalent negative correlations in controls. This suggests a potential breakdown of anterior-to-posterior connectivity in AD patients.
Electroencephalography (EEG) microstate topologies may serve as building blocks of functional brain activity in humans. Here, we studied the spatial and temporal correspondences between simultaneously acquired EEG microstate topologies and resting state functional MRI (rs-fMRI) intrinsic networks in 14 patients with Alzheimer's disease (AD) and 14 healthy age and sex matched controls. We found an anteriorisation of EEG microstates' topologies in AD patients compared with controls; this corresponded with reduced spatial expression of default mode and increased expression of frontal lobe networks in rs-fMRI. In a hierarchical cluster analysis the time courses of the EEG microstates were associated with the time courses of spatially corresponding rs-fMRI networks. We found prevalent negative correlations of time courses between anterior microstate topologies and posterior rs-fMRI components as well as between posterior microstate topology and anterior rs-fMRI components. These negative correlations were significantly more expressed in controls than in AD patients. In conclusion, our data support the notion that the time courses of EEG microstates underlie the temporal expression of rs-fMRI networks. Furthermore, our findings indicate that the anterior-to-posterior connectivity of microstates and rs-fMRI components may be reduced in AD, indicative of a break-down of long-reaching intrahemispheric connections.

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