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@ARTICLE{AzizSafaie:1030744,
author = {Aziz-Safaie, Taraneh and Müller, Veronika I. and Langner,
Robert and Eickhoff, Simon B. and Cieslik, Edna C.},
title = {{T}he effect of task complexity on the neural network for
response inhibition: {A}n {ALE} meta-analysis},
journal = {Neuroscience $\&$ biobehavioral reviews},
volume = {158},
issn = {0149-7634},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2024-05451},
pages = {105544 -},
year = {2024},
note = {This study was supported by the Helmholtz Portfolio Theme
“Supercomputing and Modeling for the Human Brain” and
the National Institute of Mental Health (R01-MH074457).},
abstract = {Response inhibition is classically investigated using the
go/no-go (GNGT) and stop-signal task (SST), which
conceptually measure different subprocesses of inhibition.
Further, different task versions with varying levels of
additional executive control demands exist, making it
difficult to identify the core neural correlates of response
inhibition independent of variations in task complexity.
Using neuroimaging meta-analyses, we show that a divergent
pattern of regions is consistently involved in the GNGT
versus SST, arguing for different mechanisms involved when
performing the two tasks. Further, for the GNGT a strong
effect of task complexity was found, with regions of the
multiple demand network (MDN) consistently involved
particularly in the complex GNGT. In contrast, both standard
and complex SST recruited the MDN to a similar degree. These
results complement behavioral evidence suggesting that
inhibitory control becomes automatic after some practice and
is performed without input of higher control regions in the
classic, standard GNGT, but continues to be implemented in a
top-down controlled fashion in the SST.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525) / 5254 -
Neuroscientific Data Analytics and AI (POF4-525)},
pid = {G:(DE-HGF)POF4-5252 / G:(DE-HGF)POF4-5254},
typ = {PUB:(DE-HGF)16},
pubmed = {38220034},
UT = {WOS:001178470000001},
doi = {10.1016/j.neubiorev.2024.105544},
url = {https://juser.fz-juelich.de/record/1030744},
}