Literature DB >> 27575531

Fluctuations of Attentional Networks and Default Mode Network during the Resting State Reflect Variations in Cognitive States: Evidence from a Novel Resting-state Experience Sampling Method.

Laurens Van Calster1, Arnaud D'Argembeau1,2, Eric Salmon1, Frédéric Peters1, Steve Majerus1,2.   

Abstract

Neuroimaging studies have revealed the recruitment of a range of neural networks during the resting state, which might reflect a variety of cognitive experiences and processes occurring in an individual's mind. In this study, we focused on the default mode network (DMN) and attentional networks and investigated their association with distinct mental states when participants are not performing an explicit task. To investigate the range of possible cognitive experiences more directly, this study proposes a novel method of resting-state fMRI experience sampling, informed by a phenomenological investigation of the fluctuation of mental states during the resting state. We hypothesized that DMN activity would increase as a function of internal mentation and that the activity of dorsal and ventral networks would indicate states of top-down versus bottom-up attention at rest. Results showed that dorsal attention network activity fluctuated as a function of subjective reports of attentional control, providing evidence that activity of this network reflects the perceived recruitment of controlled attentional processes during spontaneous cognition. Activity of the DMN increased when participants reported to be in a subjective state of internal mentation, but not when they reported to be in a state of perception. This study provides direct evidence for a link between fluctuations of resting-state neural activity and fluctuations in specific cognitive processes.

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Mesh:

Year:  2016        PMID: 27575531     DOI: 10.1162/jocn_a_01025

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  20 in total

1.  Increased fMRI activity correlations in autobiographical memory versus resting states.

Authors:  Kristen N Warren; Molly S Hermiller; Aneesha S Nilakantan; Jonathan O'Neil; Robert T Palumbo; Joel L Voss
Journal:  Hum Brain Mapp       Date:  2018-06-28       Impact factor: 5.038

2.  Dynamic brain network configurations during rest and an attention task with frequent occurrence of mind wandering.

Authors:  Ekaterina Denkova; Jason S Nomi; Lucina Q Uddin; Amishi P Jha
Journal:  Hum Brain Mapp       Date:  2019-08-04       Impact factor: 5.038

3.  Dorsomedial prefontal cortex supports spontaneous thinking per se.

Authors:  T T Raij; T J J Riekki
Journal:  Hum Brain Mapp       Date:  2017-03-31       Impact factor: 5.038

4.  Similarities and differences in the default mode network across rest, retrieval, and future imagining.

Authors:  B Bellana; Z-X Liu; N B Diamond; C L Grady; M Moscovitch
Journal:  Hum Brain Mapp       Date:  2016-10-24       Impact factor: 5.038

5.  Dynamic functional connectivity and individual differences in emotions during social stress.

Authors:  Michael J Tobia; Koby Hayashi; Grey Ballard; Ian H Gotlib; Christian E Waugh
Journal:  Hum Brain Mapp       Date:  2017-09-20       Impact factor: 5.038

Review 6.  Decoding cognition from spontaneous neural activity.

Authors:  Yunzhe Liu; Matthew M Nour; Nicolas W Schuck; Timothy E J Behrens; Raymond J Dolan
Journal:  Nat Rev Neurosci       Date:  2022-03-08       Impact factor: 34.870

7.  Cognitive and Neural State Dynamics of Narrative Comprehension.

Authors:  Hayoung Song; Bo-Yong Park; Hyunjin Park; Won Mok Shim
Journal:  J Neurosci       Date:  2021-09-16       Impact factor: 6.167

8.  The conceptual building blocks of everyday thought: Tracking the emergence and dynamics of ruminative and nonruminative thinking.

Authors:  Jessica R Andrews-Hanna; Choong-Wan Woo; Ramsey Wilcox; Hedwig Eisenbarth; Byeol Kim; Jihoon Han; Elizabeth A Reynolds Losin; Tor D Wager
Journal:  J Exp Psychol Gen       Date:  2021-09-09

9.  An information theory framework for dynamic functional domain connectivity.

Authors:  Victor M Vergara; Robyn Miller; Vince Calhoun
Journal:  J Neurosci Methods       Date:  2017-04-23       Impact factor: 2.390

10.  Characterizing resting-state networks in Parkinson's disease: A multi-aspect functional connectivity study.

Authors:  Mahdieh Ghasemi; Ali Foroutannia; Abbas Babajani-Feremi
Journal:  Brain Behav       Date:  2021-03-30       Impact factor: 2.708

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