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@ARTICLE{Larabi:890484,
author = {Larabi, Daouia I. and Marsman, Jan-Bernard C. and Aleman,
André and Tijms, Betty M. and Opmeer, Esther M. and
Pijnenborg, Gerdina H. M. and van der Meer, Lisette and van
Tol, Marie-José and Ćurčić-Blake, Branislava},
title = {{I}nsight does not come at random: {I}ndividual gray matter
networks relate to clinical and cognitive insight in
schizophrenia},
journal = {Progress in neuro-psychopharmacology $\&$ biological
psychiatry},
volume = {109},
issn = {0278-5846},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2021-00992},
pages = {110251 -},
year = {2021},
abstract = {AbstractBackgroundImpaired clinical and cognitive insight
are prevalent in schizophrenia and relate to poorer outcome.
Good insight has been suggested to depend on social
cognitive and metacognitive abilities requiring global
integration of brain signals. Impaired insight has been
related to numerous focal gray matter (GM) abnormalities
distributed across the brain suggesting dysconnectivity at
the global level. In this study, we test whether global
integration deficiencies reflected in gray matter network
connectivity underlie individual variations in
insight.MethodsWe used graph theory to examine whether
individual GM-network metrics relate to insight in patients
with a psychotic disorder (n = 114). Clinical insight was
measured with the Schedule for the Assessment of
Insight–Expanded and item G12 of the Positive and Negative
Syndrome Scale, and cognitive insight with the Beck
Cognitive Insight Scale. Individual GM-similarity networks
were created from GM-segmentations of T1-weighted MRI-scans.
Graph metrics were calculated using the Brain Connectivity
Toolbox.ResultsNetworks of schizophrenia patients with
poorer clinical insight showed less segregation (i.e.
clustering coefficient) into specialized subnetworks at the
global level. Schizophrenia patients with poorer cognitive
insight showed both less segregation and higher
connectedness (i.e. lower path length) of their brain
networks, making their network topology more
“random”.ConclusionsOur findings suggest less segregated
processing of information in patients with poorer cognitive
and clinical insight, in addition to higher connectedness in
patients with poorer cognitive insight. The ability to take
a critical perspective on one's symptoms (clinical insight)
or views (cognitive insight) might depend especially on
segregated specialized processing within distinct
subnetworks.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {525 - Decoding Brain Organization and Dysfunction
(POF4-525)},
pid = {G:(DE-HGF)POF4-525},
typ = {PUB:(DE-HGF)16},
pubmed = {33493651},
UT = {WOS:000653445500006},
doi = {10.1016/j.pnpbp.2021.110251},
url = {https://juser.fz-juelich.de/record/890484},
}