Literature DB >> 30720907

Resting state connectivity differences in eyes open versus eyes closed conditions.

Oktay Agcaoglu1, Tony W Wilson2, Yu-Ping Wang3,4, Julia Stephen1, Vince D Calhoun1,5.   

Abstract

Functional magnetic resonance imaging data are commonly collected during the resting state. Resting state functional magnetic resonance imaging (rs-fMRI) is very practical and applicable for a wide range of study populations. Rs-fMRI is usually collected in at least one of three different conditions/tasks, eyes closed (EC), eyes open (EO), or eyes fixated on an object (EO-F). Several studies have shown that there are significant condition-related differences in the acquired data. In this study, we compared the functional network connectivity (FNC) differences assessed via group independent component analysis on a large rs-fMRI dataset collected in both EC and EO-F conditions, and also investigated the effect of covariates (e.g., age, gender, and social status score). Our results indicated that task condition significantly affected a wide range of networks; connectivity of visual networks to themselves and other networks was increased during EO-F, while EC was associated with increased connectivity of auditory and sensorimotor networks to other networks. In addition, the association of FNC with age, gender, and social status was observed to be significant only in the EO-F condition (though limited as well). However, statistical analysis did not reveal any significant effect of interaction between eyes status and covariates. These results indicate that resting-state condition is an important variable that may limit the generalizability of clinical findings using rs-fMRI.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  eyes closed; eyes open; functional network connectivity; independent component analysis; resting state fMRI

Mesh:

Year:  2019        PMID: 30720907      PMCID: PMC6865559          DOI: 10.1002/hbm.24539

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.399


  34 in total

1.  Motion correction algorithms may create spurious brain activations in the absence of subject motion.

Authors:  L Freire; J F Mangin
Journal:  Neuroimage       Date:  2001-09       Impact factor: 6.556

2.  Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.

Authors:  D Cordes; V M Haughton; K Arfanakis; J D Carew; P A Turski; C H Moritz; M A Quigley; M E Meyerand
Journal:  AJNR Am J Neuroradiol       Date:  2001-08       Impact factor: 3.825

3.  Validating the independent components of neuroimaging time series via clustering and visualization.

Authors:  Johan Himberg; Aapo Hyvärinen; Fabrizio Esposito
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

4.  Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

Authors:  B Biswal; F Z Yetkin; V M Haughton; J S Hyde
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

5.  A longitudinal model for functional connectivity networks using resting-state fMRI.

Authors:  Brian Hart; Ivor Cribben; Mark Fiecas
Journal:  Neuroimage       Date:  2018-06-04       Impact factor: 6.556

6.  The effect of resting condition on resting-state fMRI reliability and consistency: a comparison between resting with eyes open, closed, and fixated.

Authors:  Rémi Patriat; Erin K Molloy; Timothy B Meier; Gregory R Kirk; Veena A Nair; Mary E Meyerand; Vivek Prabhakaran; Rasmus M Birn
Journal:  Neuroimage       Date:  2013-04-15       Impact factor: 6.556

7.  Artifact removal in the context of group ICA: A comparison of single-subject and group approaches.

Authors:  Yuhui Du; Elena A Allen; Hao He; Jing Sui; Lei Wu; Vince D Calhoun
Journal:  Hum Brain Mapp       Date:  2015-12-21       Impact factor: 5.038

8.  Improving the Test-Retest Reliability of Resting State fMRI by Removing the Impact of Sleep.

Authors:  Jiahui Wang; Junwei Han; Vinh T Nguyen; Lei Guo; Christine C Guo
Journal:  Front Neurosci       Date:  2017-05-08       Impact factor: 4.677

9.  EEG Signatures of Dynamic Functional Network Connectivity States.

Authors:  E A Allen; E Damaraju; T Eichele; L Wu; V D Calhoun
Journal:  Brain Topogr       Date:  2017-02-22       Impact factor: 3.020

10.  Dynamic effective connectivity in resting state fMRI.

Authors:  Hae-Jeong Park; Karl J Friston; Chongwon Pae; Bumhee Park; Adeel Razi
Journal:  Neuroimage       Date:  2017-11-20       Impact factor: 6.556

View more
  27 in total

Review 1.  Resting-state Networks in Tinnitus : A Scoping Review.

Authors:  Tori Elyssa Kok; Deepti Domingo; Joshua Hassan; Alysha Vuong; Brenton Hordacre; Chris Clark; Panagiotis Katrakazas; Giriraj Singh Shekhawat
Journal:  Clin Neuroradiol       Date:  2022-05-12       Impact factor: 3.649

2.  Functional connectome of arousal and motor brainstem nuclei in living humans by 7 Tesla resting-state fMRI.

Authors:  Kavita Singh; Simone Cauzzo; María Guadalupe García-Gomar; Matthew Stauder; Nicola Vanello; Claudio Passino; Marta Bianciardi
Journal:  Neuroimage       Date:  2022-01-12       Impact factor: 6.556

3.  Functional connectome of brainstem nuclei involved in autonomic, limbic, pain and sensory processing in living humans from 7 Tesla resting state fMRI.

Authors:  Simone Cauzzo; Kavita Singh; Matthew Stauder; María Guadalupe García-Gomar; Nicola Vanello; Claudio Passino; Jeffrey Staab; Iole Indovina; Marta Bianciardi
Journal:  Neuroimage       Date:  2022-01-21       Impact factor: 6.556

4.  Altered resting fMRI spectral power in data-driven brain networks during development: A longitudinal study.

Authors:  Oktay Agcaoglu; Tony W Wilson; Yu-Ping Wang; Julia M Stephen; Zening Fu; Vince D Calhoun
Journal:  J Neurosci Methods       Date:  2022-02-23       Impact factor: 2.390

5.  Ultra-slow fMRI fluctuations in the fourth ventricle as a marker of drowsiness.

Authors:  Javier Gonzalez-Castillo; Isabel S Fernandez; Daniel A Handwerker; Peter A Bandettini
Journal:  Neuroimage       Date:  2022-06-30       Impact factor: 7.400

6.  Evaluating global brain connectivity as an imaging marker for depression: influence of preprocessing strategies and placebo-controlled ketamine treatment.

Authors:  Christoph Kraus; Anahit Mkrtchian; Bashkim Kadriu; Allison C Nugent; Carlos A Zarate; Jennifer W Evans
Journal:  Neuropsychopharmacology       Date:  2020-01-29       Impact factor: 7.853

7.  Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients.

Authors:  Mickael Tordjman; Guillaume Madelin; Pradeep Kumar Gupta; Christine Cordova; Sylvia C Kurz; Daniel Orringer; John Golfinos; Douglas Kondziolka; Yulin Ge; Ruoyu Luie Wang; Mariana Lazar; Rajan Jain
Journal:  J Neurooncol       Date:  2021-02-02       Impact factor: 4.130

8.  Resting-state functional connectivity of the human hippocampus in periadolescent children: Associations with age and memory performance.

Authors:  David E Warren; Anthony J Rangel; Nicholas J Christopher-Hayes; Jacob A Eastman; Michaela R Frenzel; Julia M Stephen; Vince D Calhoun; Yu-Ping Wang; Tony W Wilson
Journal:  Hum Brain Mapp       Date:  2021-05-12       Impact factor: 5.038

9.  The effect of congenital blindness on resting-state functional connectivity revisited.

Authors:  Maria J S Guerreiro; Madita Linke; Sunitha Lingareddy; Ramesh Kekunnaya; Brigitte Röder
Journal:  Sci Rep       Date:  2021-06-14       Impact factor: 4.379

10.  Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder.

Authors:  Hossein Dini; Mohammad S E Sendi; Jing Sui; Zening Fu; Randall Espinoza; Katherine L Narr; Shile Qi; Christopher C Abbott; Sanne J H van Rooij; Patricio Riva-Posse; Luis Emilio Bruni; Helen S Mayberg; Vince D Calhoun
Journal:  Front Hum Neurosci       Date:  2021-07-06       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.