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Clin Neurophysiol ; 117(5): 1113-29, 2006 May.
Article in English | MEDLINE | ID: mdl-16564740

ABSTRACT

OBJECTIVE: A relationship between brain atrophy and delta rhythmicity (1.5-4 Hz) has been previously explored in Alzheimer's disease (AD) subjects [Fernandez A, Arrazola J, Maestu F, Amo C, Gil-Gregorio P, Wienbruch C, Ortiz T. Correlations of hippocampal atrophy and focal low-frequency magnetic activity in Alzheimer disease: volumetric MR imaging-magnetoencephalographic study. Am J Neuroradiol. 2003 24(3):481-487]. In this study, we tested the hypothesis that such a relationship does exist not only in AD patients but also across the continuum of subjects with mild cognitive impairment (MCI) and AD. METHODS: Resting, eyes-closed EEG data were recorded in 34 MCI and 65 AD subjects. EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). EEG cortical sources were estimated by LORETA. Cortical EEG sources were correlated with MR-based measurements of lobar brain volume (white and gray matter). RESULTS: A negative correlation was observed between the frontal white matter and the amplitude of frontal delta sources (2-4 Hz) across MCI and AD subjects. CONCLUSIONS: These results confirmed for the first time the hypothesis that the sources of resting delta rhythms (2-4 Hz) are correlated with lobar brain volume across MCI and AD subjects. SIGNIFICANCE: The present findings support, at least at group level, the 'transition hypothesis' of brain structural and functional continuity between MCI and AD.


Subject(s)
Alzheimer Disease/pathology , Alzheimer Disease/physiopathology , Cognition Disorders/pathology , Cognition Disorders/physiopathology , Delta Rhythm , Frontal Lobe/pathology , Aged , Alzheimer Disease/complications , Brain Mapping , Case-Control Studies , Cognition Disorders/complications , Electroencephalography , Female , Frontal Lobe/physiopathology , Humans , Male , Mental Status Schedule , Neuropsychological Tests/statistics & numerical data , Spectrum Analysis , Wakefulness/physiology
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