Literature DB >> 23608113

Changes in resting connectivity with age: a simultaneous electroencephalogram and functional magnetic resonance imaging investigation.

Joshua Henk Balsters1, Redmond G O'Connell, Alessandra Galli, Hugh Nolan, Eleanora Greco, Sophia M Kilcullen, Arun L W Bokde, Robert Lai, Neil Upton, Ian H Robertson.   

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.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23608113     DOI: 10.1016/j.neurobiolaging.2013.03.004

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  22 in total

1.  Regular cannabis and alcohol use is associated with resting-state time course power spectra in incarcerated adolescents.

Authors:  Sandra Thijssen; Barnaly Rashid; Shruti Gopal; Prashanth Nyalakanti; Vince D Calhoun; Kent A Kiehl
Journal:  Drug Alcohol Depend       Date:  2017-07-08       Impact factor: 4.492

2.  Functional connectivity in incarcerated male adolescents with psychopathic traits.

Authors:  Sandra Thijssen; Kent A Kiehl
Journal:  Psychiatry Res Neuroimaging       Date:  2017-05-11       Impact factor: 2.376

3.  Resting-state anticorrelations between medial and lateral prefrontal cortex: association with working memory, aging, and individual differences.

Authors:  Joseph B Keller; Trey Hedden; Todd W Thompson; Sheeba A Anteraper; John D E Gabrieli; Susan Whitfield-Gabrieli
Journal:  Cortex       Date:  2014-12-13       Impact factor: 4.027

4.  Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging.

Authors:  Alireza Salami; Sara Pudas; Lars Nyberg
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-24       Impact factor: 11.205

5.  Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.

Authors:  Vito Davide Moretti
Journal:  Am J Neurodegener Dis       Date:  2015-09-10

6.  Distinguishing rhythmic from non-rhythmic brain activity during rest in healthy neurocognitive aging.

Authors:  Jeremy B Caplan; Monica Bottomley; Pardeep Kang; Roger A Dixon
Journal:  Neuroimage       Date:  2015-03-10       Impact factor: 6.556

7.  EEG-fMRI Signal Coupling Is Modulated in Subjects With Mild Cognitive Impairment and Amyloid Deposition.

Authors:  Lars Michels; Florian Riese; Rafael Meyer; Andrea M Kälin; Sandra E Leh; Paul G Unschuld; Roger Luechinger; Christoph Hock; Ruth O'Gorman; Spyros Kollias; Anton Gietl
Journal:  Front Aging Neurosci       Date:  2021-04-23       Impact factor: 5.750

8.  Can apparent resting state connectivity arise from systemic fluctuations?

Authors:  Yunjie Tong; Lia M Hocke; Xiaoying Fan; Amy C Janes; Blaise deB Frederick
Journal:  Front Hum Neurosci       Date:  2015-05-15       Impact factor: 3.169

9.  BOLD Frequency Power Indexes Working Memory Performance.

Authors:  Joshua Henk Balsters; Ian H Robertson; Vince D Calhoun
Journal:  Front Hum Neurosci       Date:  2013-05-16       Impact factor: 3.169

Review 10.  Mild Cognitive Impairment: Structural, Metabolical, and Neurophysiological Evidence of a Novel EEG Biomarker.

Authors:  Davide Vito Moretti
Journal:  Front Neurol       Date:  2015-07-06       Impact factor: 4.003

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