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@ARTICLE{Fraenz:893932,
author = {Fraenz, Christoph and Schlüter, Caroline and Friedrich,
Patrick and Jung, Rex E. and Güntürkün, Onur and Genç,
Erhan},
title = {{I}nterindividual differences in matrix reasoning are
linked to functional connectivity between brain regions
nominated by {P}arieto-{F}rontal {I}ntegration {T}heory},
journal = {Intelligence},
volume = {87},
issn = {0160-2896},
address = {Greenwich, Conn.},
publisher = {Ablex},
reportid = {FZJ-2021-02942},
pages = {101545 -},
year = {2021},
note = {This work was supported by the following grants: GU
227/16-1; GE 2777/2-1; An-2015-0044 and 1U54MH091657},
abstract = {The Parieto-Frontal Integration Theory (P-FIT) predicts
that human intelligence is closely linked to structural and
functional properties of several brain regions mainly
located in the parietal and frontal cortices. It also
proposes that solving abstract reasoning tasks involves
multiple processing stages and thus requires the harmonic
interplay of these brain regions. However, empirical studies
directly investigating the relationship between intellectual
performance and the strength of individual functional
connections related to the P-FIT network are scarce. Here we
demonstrate, in two independent samples comprising a total
of 1489 healthy individuals, that fMRI resting- state
connectivity, especially between P-FIT regions, is
associated with interindividual differences in matrix
reasoning performance. Interestingly, respective
associations were only present in the overall samples and
the female subsamples but not in the male subsamples,
indicating a sex-specific effect. We found five
statistically significant connections which replicated
across both samples. These were constituted by BAs 8, 10,
22, 39, 46, and 47 in the left as well as BAs 44 and 45 in
the right hemisphere. Given that many of these brain regions
are predominantly involved in language processing, we
hypothesized that our results reflect the importance of
inner speech for solving matrix reasoning tasks.
Complementary to previous research investigating the
association between intelligence and functional brain
connectivity by means of comprehensive network metrics, our
study is the first to identify specific connections from the
P-FIT network whose functional connectivity strength at rest
can be considered an indicator of intellectual capability.},
cin = {INM-7},
ddc = {150},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000697525700002},
doi = {10.1016/j.intell.2021.101545},
url = {https://juser.fz-juelich.de/record/893932},
}