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MEG Oscillatory Slowing in Cognitive Impairment is Associated with the Presence of Subjective Cognitive Decline

  • Ricardo Bruña
  • , David López-Sanz
  • , Fernando Maestú
  • , Ann D. Cohen
  • , Anto Bagic
  • , Ted Huppert
  • , Tae Kim
  • , Rebecca E. Roush
  • , Betz Snitz
  • , James T. Becker
  • University of La Laguna
  • Technical University of Madrid
  • Complutense University
  • University of Pittsburgh

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

The mechanisms behind Alzheimer's disease are not yet fully described, and changes in the electrophysiology of patients across the continuum of the disease could help to understand them. In this work, we study the power spectral distribution of a set of 129 individuals from the Connectomics of Brian Aging and Dementia project. From this sample, we acquired task-free data, with eyes closed, and estimated the power spectral distribution in source space. We compared the spectral profiles of three groups of individuals: 70 healthy controls, 27 patients with amnestic MCI, and 32 individuals showing cognitive impairment without subjective complaints (IWOC). The results showed a slowing of the brain activity in the aMCI patients, when compared to both the healthy controls and the IWOC individuals. These differences appeared both as a decrease in power for high frequency oscillations and an increase in power in alpha oscillations. The slowing of the spectrum was significant mainly in parietal and medial frontal areas. We were able to validate the slowing of the brain activity in individuals with aMCI, appearing in our sample in areas related to the default mode network. However, this pattern did not appear in the IWOC individuals, suggesting that their condition is not part of the AD continuum. This work raises interesting questions about this group of individuals, and the underlying brain mechanisms behind their cognitive impairment.

Original languageEnglish
Pages (from-to)73-81
Number of pages9
JournalClinical EEG and Neuroscience
Volume54
Issue number1
DOIs
StatePublished - Jan 2023

Keywords

  • Cluster-based permutation test
  • magnetoencephalography
  • Mild cognitive impairment
  • Source reconstruction
  • Spectral power analysis

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