Literature DB >> 26327245

Differences in the resting-state fMRI global signal amplitude between the eyes open and eyes closed states are related to changes in EEG vigilance.

Chi Wah Wong1, Pamela N DeYoung2, Thomas T Liu3.   

Abstract

In resting-state functional connectivity magnetic resonance imaging (fcMRI) studies, measures of functional connectivity are often calculated after the removal of a global mean signal component. While the application of the global signal regression approach has been shown to reduce the influence of physiological artifacts and enhance the detection of functional networks, there is considerable controversy regarding its use as the method can lead to significant bias in the resultant connectivity measures. In addition, evidence from recent studies suggests that the global signal is linked to neural activity and may carry clinically relevant information. For instance, in a prior study we found that the amplitude of the global signal was negatively correlated with EEG measures of vigilance across subjects and experimental runs. Furthermore, caffeine-related decreases in global signal amplitude were associated with increases in EEG vigilance. In this study, we extend the prior work by examining measures of global signal amplitude and EEG vigilance under eyes-closed (EC) and eyes-open (EO) resting-state conditions. We show that changes (EO minus EC) in the global signal amplitude are negatively correlated with the associated changes in EEG vigilance. The slope of this EO-EC relation is comparable with the slope of the previously reported relation between caffeine-related changes in the global signal amplitude and EEG vigilance. Our findings provide further support for a basic relationship between global signal amplitude and EEG vigilance.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electroencephalography; Eyes-closed; Eyes-open; Global signal; Resting-state fMRI; Vigilance

Mesh:

Substances:

Year:  2015        PMID: 26327245     DOI: 10.1016/j.neuroimage.2015.08.053

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  44 in total

1.  Nuisance effects in inter-scan functional connectivity estimates before and after nuisance regression.

Authors:  Alican Nalci; Wenjing Luo; Thomas T Liu
Journal:  Neuroimage       Date:  2019-07-20       Impact factor: 6.556

Review 2.  Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.

Authors:  Shella D Keilholz; Wen-Ju Pan; Jacob Billings; Maysam Nezafati; Sadia Shakil
Journal:  Neuroimage       Date:  2016-12-22       Impact factor: 6.556

3.  Insula-based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI.

Authors:  Anna M Zamorano; Ignacio Cifre; Pedro Montoya; Inmaculada Riquelme; Boris Kleber
Journal:  Hum Brain Mapp       Date:  2017-07-24       Impact factor: 5.038

4.  Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states.

Authors:  Chenhao Wang; Ju Lynn Ong; Amiya Patanaik; Juan Zhou; Michael W L Chee
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-10       Impact factor: 11.205

5.  Measuring vascular reactivity with resting-state blood oxygenation level-dependent (BOLD) signal fluctuations: A potential alternative to the breath-holding challenge?

Authors:  Hesamoddin Jahanian; Thomas Christen; Michael E Moseley; Nicholas M Pajewski; Clinton B Wright; Manjula K Tamura; Greg Zaharchuk
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

6.  Global fluctuations of cerebral blood flow indicate a global brain network independent of systemic factors.

Authors:  Li Zhao; David C Alsop; John A Detre; Weiying Dai
Journal:  J Cereb Blood Flow Metab       Date:  2017-08-17       Impact factor: 6.200

7.  Core networks and their reconfiguration patterns across cognitive loads.

Authors:  Nianming Zuo; Zhengyi Yang; Yong Liu; Jin Li; Tianzi Jiang
Journal:  Hum Brain Mapp       Date:  2018-04-20       Impact factor: 5.038

8.  Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.

Authors:  Matthew F Glasser; Timothy S Coalson; Janine D Bijsterbosch; Samuel J Harrison; Michael P Harms; Alan Anticevic; David C Van Essen; Stephen M Smith
Journal:  Neuroimage       Date:  2018-08-02       Impact factor: 6.556

9.  Template-based prediction of vigilance fluctuations in resting-state fMRI.

Authors:  Maryam Falahpour; Catie Chang; Chi Wah Wong; Thomas T Liu
Journal:  Neuroimage       Date:  2018-03-13       Impact factor: 6.556

10.  Sources and implications of whole-brain fMRI signals in humans.

Authors:  Jonathan D Power; Mark Plitt; Timothy O Laumann; Alex Martin
Journal:  Neuroimage       Date:  2016-10-15       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.