Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms

Javier Escudero*, Saeid Sanei, Delaram Jarchi, Daniel Abasolo, Roberto Hornero

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study assesses the connectivity alterations caused by Alzheimer's disease (AD) and mild cognitive impairment (MCI) in magnetoencephalogram (MEG) background activity. Moreover, a novel methodology to adaptively extract brain rhythms from the MEG is introduced. This methodology relies on the ability of empirical mode decomposition to isolate local signal oscillations and constrained blind source separation to extract the activity that jointly represents a subset of channels. Inter-regional MEG connectivity was analysed for 36 AD, 18 MCI and 26 control subjects in delta, theta, alpha and beta bands over left and right central, anterior, lateral and posterior regions with magnitude squared coherence-c(f). For the sake of comparison, c(f) was calculated from the original MEG channels and from the adaptively extracted rhythms. The results indicated that AD and MCI cause slight alterations in the MEG connectivity. Computed from the extracted rhythms, c(f) distinguished AD and MCI subjects from controls with 69.4% and 77.3% accuracies, respectively, in a full leave-one-out cross-validation evaluation. These values were higher than those obtained without the proposed extraction methodology.

Original languageEnglish
Pages (from-to)1163-1180
Number of pages18
JournalPhysiological Measurement
Volume32
Issue number8
DOIs
Publication statusPublished - Aug 2011

Keywords

  • Alzheimer's disease (AD)
  • magnitude square coherence (c(f))
  • constrained blind source separation (cBSS)
  • empirical mode decomposition (EMD)
  • magnetoencephalogram (MEG)
  • mild cognitive impairment (MCI)
  • INDEPENDENT COMPONENT ANALYSIS
  • EMPIRICAL MODE DECOMPOSITION
  • FUNCTIONAL CONNECTIVITY
  • BACKGROUND ACTIVITY
  • MUTUAL INFORMATION
  • NONLINEAR-ANALYSIS
  • ARTIFACT REMOVAL
  • CONSTRAINED ICA
  • EEG DATA
  • BRAIN

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