Synchronization measures of the scalp electroencephalogram can discriminate healthy from Alzheimer's subjects

Mark A. Kramer, Fen Lei Chang, Maurice E. Cohen, Donna Hudson, Andrew J. Szeri

Research output: Contribution to journalArticle

58 Scopus citations


Three synchronization measures are applied to scalp electroencephalogram (EEG) data collected from 20 patients diagnosed to have either: (1) no dementia, (2) mild cognitive impairment (MCI), or (3) Alzheimer's disease (AD). We apply the three synchronization measures - the phase synchronization, and two measures of nonlinear interdependency - to the data collected from awake patients resting with eyes closed. We show that the synchronization in potential between electrodes near the left and right occipital lobes provides a statistically significant discriminant between the healthy and AD subjects, and the MCI and AD subjects. None of the three measures appears able to distinguish between the healthy and MCI subjects, although MCI subjects show synchronization values intermediate between healthy subjects (with high synchronization values) and AD subjects (with low synchronization values) on average.

Original languageEnglish (US)
Pages (from-to)61-69
Number of pages9
JournalInternational Journal of Neural Systems
Issue number2
StatePublished - Apr 1 2007


ASJC Scopus subject areas

  • Computer Networks and Communications

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