Frontal delta event-related oscillations relate to frontal volume in mild cognitive impairment and healthy controls

Yener, Görsev G.
Emek Savaş, Derya Durusu
Lizio, Roberta
Çavuşoğlu, Berrin
Carducci, Filippo
Adem, Emel
Güntekin, Bahar
Babiloni, Claudio C.
Başar, Erol
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Elsevier Science Bv, Po Box 211, 1000 AE Amsterdam, Netherlands
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Amnesic mild cognitive impairment (MCI) represents a risk of developing Alzheimer's disease (AD), but not all MCI subjects progress to dementia of AD type. Magnetic resonance imaging (MRI) of cortical and hippocampal atrophy supports early diagnosis of AD in MCI subjects, while frontal event-related oscillations (EROS) at delta frequencies (<4 Hz) are appealing markers for this purpose, as they are both cost-effective and largely available. The present study tested the hypothesis that these EROs reflect cortical frontal neurodegeneration in the continuum between normal and amnesic MCI subjects.

EROs and volumetric MRI data were recorded in 28 amnesic MCI and in 28 healthy elderly controls (HCs). EROs were collected during a standard visual oddball paradigm including frequent (66.6%) and rare (33.3%; targets to be mentally counted) stimuli. Peak-to-peak amplitude of delta target EROs (<4 Hz) was measured. Volume of frontal cortex was estimated from MRIs.

Frontal volume was lower in MCI compared to the HC group. Furthermore, widespread delta target EROs were lower in amplitude in the former than in the latter group. Finally, there was a positive correlation between frontal volume and frontal delta target EROs in MCI and HC subjects as a whole group. These results suggest that frontal delta EROs reflect frontal neurodegeneration in the continuum between normal and amnesic MCI subjects. (C) 2015 Published by Elsevier B.V.

Event-related , Oscillations , EEG , MRI , Frontal , Volumetry , Delta , MCI , Alzheimer , Dementia , Alzheimers Association Workgroups , Cerebral-Blood-Flow , Quantitative Electroencephalography , Cholinesterase-Inhibitors , Clinical Characterization , Diagnostic Guidelines , National Institute , Theta-Oscillations , Frequency-Analysis , Wavelet Transform