Scalp EEG signal reconstruction for detection of mild cognitive impairment and early Alzheimer's disease

Joseph McBride, Xiaopeng Zhao, Nancy Munro, Yang Jiang, Charles Smith, Gregory Jicha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Mild cognitive impairment (MCI) is a neurological disease which is often comorbid with early stages of Alzheimer's disease (AD). This study explores the potential for detecting changes in neurological functional organization which may be indicative of MCI and early AD using neural network models for scalp EEG signal reconstruction. Resting 32-channel EEG records from 48 age-matched participants (mean age 75.7 years) - 15 normal controls (NC), 16 MCI, and 17 early-stage AD - are examined. Neural network models are trained to reconstruct artificially 'deleted' samples of EEG using subsets of records from NC participants. Models are applied to EEG records and quality scores are assigned to reconstructions of individual channels. Principal components of regional average reconstruction quality scores are used in a support vector machine model to discriminate between groups. Analyses demonstrate accuracies of 90.3% for MCI vs. NC (p-value<0.0005), 90.6% for AD vs. NC (p-value<0.0003), and 87.5% for AD/MCI vs. NC (p-value<0.0003). Techniques developed here may be used to detect changes in EEG activity due to neurological degeneration associated with MCI and early AD.

Original languageEnglish
Title of host publicationProceedings of the 2013 4th Annual ORNL Biomedical Sciences and Engineering Conference
Subtitle of host publicationCollaborative Biomedical Innovations, BSEC 2013
DOIs
StatePublished - 2013
Event2013 4th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, BSEC 2013 - Oak Ridge, TN, United States
Duration: May 21 2013May 23 2013

Publication series

NameProceedings of the 2013 4th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, BSEC 2013

Conference

Conference2013 4th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, BSEC 2013
Country/TerritoryUnited States
CityOak Ridge, TN
Period5/21/135/23/13

Keywords

  • Alzheimer's disease
  • EEG
  • mild cognitive impairment
  • signal reconstruction

ASJC Scopus subject areas

  • Biomedical Engineering

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