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@ARTICLE{Pijnenborg:878000,
author = {Pijnenborg, G. H. M. and Larabi, D. I. and Xu, P. and
Hasson-Ohayon, I. and de Vos, A. E. and Ćurčić-Blake, B.
and Aleman, A. and Van der Meer, L.},
title = {{B}rain areas associated with clinical and cognitive
insight in psychotic disorders: {A} systematic review and
meta-analysis},
journal = {Neuroscience $\&$ biobehavioral reviews},
volume = {116},
issn = {0149-7634},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2020-02574},
pages = {301 - 336},
year = {2020},
note = {AcknowledgementThis work was supported by a European Young
Investigator Awardof the European Science Foundation (no.
044035001) awarded to A.A.},
abstract = {n the past years, ample interest in brain abnormalities
related to clinical and cognitive insight in psychosis has
contributed several neuroimaging studies to the literature.
In the current study, published findings on the neural
substrates of clinical and cognitive insight in psychosis
are integrated by performing a systematic review and
meta-analysis.Coordinate-based meta-analyses were performed
with the parametric coordinate-based meta-analysis approach,
non-coordinate based meta-analyses were conducted with the
metafor package in R. Papers that could not be included in
the meta-analyses were systematically reviewed.Thirty-seven
studies were retrieved, of which 21 studies were included in
meta-analyses. Poorer clinical insight was related to
smaller whole brain gray and white matter volume and gray
matter volume of the frontal gyri. Cognitive insight was
predominantly positively associated with structure and
function of the hippocampus and ventrolateral prefrontal
cortex.Impaired clinical insight is not associated with
abnormalities of isolated brain regions, but with spatially
diffuse global and frontal abnormalities suggesting it might
rely on a range of cognitive and self-evaluative processes.
Cognitive insight is associated with specific areas and
appears to rely more on retrieving and integrating
self-related information.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {573 - Neuroimaging (POF3-573)},
pid = {G:(DE-HGF)POF3-573},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32569706},
UT = {WOS:000557868200024},
doi = {10.1016/j.neubiorev.2020.06.022},
url = {https://juser.fz-juelich.de/record/878000},
}