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@ARTICLE{Chen:893853,
author = {Chen, Ji and Wensing, Tobias and Hoffstaedter, Felix and
Cieslik, Edna C. and Müller, Veronika I. and Patil,
Kaustubh R. and Aleman, André and Derntl, Birgit and
Gruber, Oliver and Jardri, Renaud and Kogler, Lydia and
Sommer, Iris E. and Eickhoff, Simon B. and Nickl-Jockschat,
Thomas},
title = {{N}eurobiological substrates of the positive formal thought
disorder in schizophrenia revealed by seed connectome-based
predictive modeling},
journal = {NeuroImage: Clinical},
volume = {30},
issn = {2213-1582},
address = {[Amsterdam u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2021-02877},
pages = {102666 -},
year = {2021},
abstract = {Formal thought disorder (FTD) is a core symptom cluster of
schizophrenia, but its neurobiological substrates remain
poorly understood. Here we collected resting-state fMRI data
from 276 subjects at seven sites and employed
machine-learning to investigate the neurobiological
correlates of FTD along positive and negative symptom
dimensions in schizophrenia. Three a priori,
meta-analytically defined FTD-related brain regions were
used as seeds to generate whole-brain resting-state
functional connectivity (rsFC) maps, which were then
compared between schizophrenia patients and controls. A
repeated cross-validation procedure was realized within the
patient group to identify clusters whose rsFC patterns to
the seeds were repeatedly observed as significantly
associated with specific FTD dimensions. These repeatedly
identified clusters (i.e., robust clusters) were
functionally characterized and the rsFC patterns were used
for predictive modeling to investigate predictive capacities
for individual FTD dimensional-scores. Compared with
controls, differential rsFC was found in patients in
fronto-temporo-thalamic regions. Our cross-validation
procedure revealed significant clusters only when assessing
the seed-to-whole-brain rsFC patterns associated with
positive-FTD. RsFC patterns of three fronto-temporal
clusters, associated with higher-order cognitive processes
(e.g., executive functions), specifically predicted
individual positive-FTD scores (p = 0.005), but not other
positive symptoms, and the PANSS general psychopathology
subscale (p > 0.05). The prediction of positive-FTD was
moreover generalized to an independent dataset (p = 0.013).
Our study has identified neurobiological correlates of
positive FTD in schizophrenia in a network associated with
higher-order cognitive functions, suggesting a dysexecutive
contribution to FTD in schizophrenia. We regard our findings
as robust, as they allow a prediction of individual-level
symptom severity.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
pubmed = {34215141},
UT = {WOS:000670324000006},
doi = {10.1016/j.nicl.2021.102666},
url = {https://juser.fz-juelich.de/record/893853},
}