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@ARTICLE{Larabi:877882,
author = {Larabi, Daouia I. and Renken, Remco J. and Cabral, Joana
and Marsman, Jan-Bernard C. and Aleman, André and
Ćurčić-Blake, Branislava},
title = {{T}rait self-reflectiveness relates to time-varying
dynamics of resting state functional connectivity and
underlying structural connectomes: {R}ole of the default
mode network},
journal = {NeuroImage},
volume = {219},
issn = {1053-8119},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {FZJ-2020-02489},
pages = {116896 -},
year = {2020},
note = {The authors would like to thank all participants for their
participation, Anita Sibeijn-Kuiper and Judith Streurman for
support in scanning participants, Dr. Michelle Servaas and
Dr. Leonardo Cerliani for advice on analyses, and the Center
for Magnetic Resonance Research of the University of
Minnesota for receipt of their multi-echo-EPI sequence. We
would also like to thank the Center for Information
Technology of the University of Groningen for their support
and for providing access to the Peregrine high-performance
computing cluster.},
abstract = {BackgroundCognitive insight is defined as the ability to
reflect upon oneself (i.e. self-reflectiveness), and to not
be overly confident of one's own (incorrect) beliefs (i.e.
self-certainty). These abilities are impaired in several
disorders, while they are essential for the evaluation and
regulation of one's behavior. We hypothesized that cognitive
insight is a dynamic process, and therefore examined how it
relates to temporal dynamics of resting state functional
connectivity (FC) and underlying structural network
characteristics in 58 healthy individuals.MethodsCognitive
insight was measured with the Beck Cognitive Insight Scale.
FC characteristics were calculated after obtaining four FC
states with leading eigenvector dynamics analysis. Gray
matter (GM) and DTI connectomes were based on GM similarity
and probabilistic tractography. Structural graph
characteristics, such as path length, clustering
coefficient, and small-world coefficient, were calculated
with the Brain Connectivity Toolbox. FC and structural graph
characteristics were correlated with cognitive
insight.ResultsIndividuals with lower cognitive insight
switched more and spent less time in a globally synchronized
state. Additionally, individuals with lower
self-reflectiveness spent more time in, had a higher
probability of, and had a higher chance of switching to a
state entailing default mode network (DMN) areas. With lower
self-reflectiveness, DTI-connectomes were segregated less
(i.e. lower global clustering coefficient) with lower
embeddedness of the left angular gyrus specifically (i.e.
lower local clustering coefficient).ConclusionsOur results
suggest less stable functional and structural networks in
individuals with poorer cognitive insight, specifically
self-reflectiveness. An overly present DMN appears to play a
key role in poorer self-reflectiveness.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32470573},
UT = {WOS:000559780400009},
doi = {10.1016/j.neuroimage.2020.116896},
url = {https://juser.fz-juelich.de/record/877882},
}