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Changes in resting connectivity with age: a simultaneous electroencephalogram and functional magnetic resonance imaging investigation
Authors:Joshua Henk Balsters  Redmond G. O'Connell  Alessandra Galli  Hugh Nolan  Eleanora Greco  Sophia M. Kilcullen  Arun L.W. Bokde  Robert Lai  Neil Upton  Ian H. Robertson
Affiliation:1. Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland;2. Trinity Centre for Bioengineering, Trinity College Dublin, Dublin, Ireland;3. Neurosciences Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
Abstract:
Resting fluctuations in the blood oxygenation level-dependent signal have attracted considerable interest for their sensitivity to pathological brain processes. However, these analyses are susceptible to confound by nonneural physiological factors such as vasculature, breathing, and head movement which is a concern when investigating elderly or pathological groups. Here, we used simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) (EEG/fMRI) to constrain the analysis of resting state networks (RSNs) and identify aging differences. Four of 26 RSNs showed fMRI and EEG/fMRI group differences; anterior default-mode network, left frontal-parietal network, bilateral middle frontal, and postcentral gyri. Seven RSNs showed only EEG/fMRI differences suggesting the combination of these 2 methods might be more sensitive to age-related neural changes than fMRI alone. Five RSNs showed only fMRI differences and might reflect nonneural group differences. Activity within some EEG/fMRI RSNs was better explained by neuropsychological measures (Mini Mental State Examination and Stroop) than age. These results support previous studies suggesting that age-related changes in specific RSNs are neural in origin, and show that changes in some RSNs relate better to elderly cognition than age.
Keywords:Aging   Simultaneous EEG/fMRI   Resting-state networks   Default mode network   Hippocampus   Prefrontal cortex
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