title: Discrimination of mild cognitive impairment and Alzheimer's disease using transfer entropy measures of scalp EEG.
abstract: Mild cognitive impairment (MCI) is a neurological condition related to early stages of dementia including Alzheimer's disease (AD). This study investigates the potential of measures of transfer entropy in scalp EEG for effectively discriminating between normal aging, MCI, and AD participants. Resting EEG records from 48 age-matched participants (mean age 75.7 years)-15 normal controls, 16 MCI, and 17 early AD-are examined. The mean temporal delays corresponding to peaks in inter-regional transfer entropy are computed and used as features to discriminate between the three groups of participants. Three-way classification schemes based on binary support vector machine models demonstrate overall discrimination accuracies of 91.7- 93.8%, depending on the protocol condition. These results demonstrate the potential for EEG transfer entropy measures as biomarkers in identifying early MCI and AD. Moreover, the analyses based on short data segments (two minutes) render the method practical for a primary care setting.
authors.affiliation: Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA.
authors.forename: Joseph
authors.initials: J
authors.lastname: McBride
authors.affiliation: Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA.
authors.forename: Xiaopeng
authors.initials: X
authors.lastname: Zhao
authors.affiliation: Oak Ridge Nation Laboratory, Oak Ridge, TN, USA.
authors.forename: Nancy
authors.initials: N
authors.lastname: Munro
authors.affiliation: Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY, USA Department of Neurology, University of Kentucky College of Medicine, Lexington, KY, USA.
authors.forename: Gregory
authors.initials: G
authors.lastname: Jicha
authors.affiliation: Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY, USA Department of Neurology, University of Kentucky College of Medicine, Lexington, KY, USA.
authors.forename: Charles
authors.initials: C
authors.lastname: Smith
authors.affiliation: Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY, USA Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA.
authors.forename: Yang
authors.initials: Y
authors.lastname: Jiang
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000503:physiopathology; D016022:Case-Control Studies; D060825:Cognitive Dysfunction / Q000175:diagnosis* / Q000503:physiopathology; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D012535:Scalp / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted
keywords: EEG-based diagnosis; early Alzheimer's disease; mild cognitive impairment; transfer entropy