TY  - JOUR
AU  - Aziz-Safaie, Taraneh
AU  - Müller, Veronika I.
AU  - Langner, Robert
AU  - Eickhoff, Simon B.
AU  - Cieslik, Edna C.
TI  - The effect of task complexity on the neural network for response inhibition: An ALE meta-analysis
JO  - Neuroscience & biobehavioral reviews
VL  - 158
SN  - 0149-7634
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2024-05451
SP  - 105544 -
PY  - 2024
N1  - 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).
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 38220034
UR  - <Go to ISI:>//WOS:001178470000001
DO  - DOI:10.1016/j.neubiorev.2024.105544
UR  - https://juser.fz-juelich.de/record/1030744
ER  -