This title appears in the Scientific Report :
2024
Please use the identifier:
http://dx.doi.org/10.1016/j.neubiorev.2024.105544 in citations.
The effect of task complexity on the neural network for response inhibition: an ALE meta-analysis
The effect of task complexity on the neural network for response inhibition: an ALE meta-analysis
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 t...
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Personal Name(s): | Aziz-Safaie, Taraneh (Corresponding author) |
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Müller, Veronika I / Langner, Robert / Eickhoff, Simon B. / Cieslik, Edna C. (Corresponding author) | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Published in: | Neuroscience & biobehavioral reviews (2024) |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2024
|
DOI: |
10.1016/j.neubiorev.2024.105544 |
Document Type: |
Preprint |
Research Program: |
Multilevel Brain Organization and Variability |
Publikationsportal JuSER |
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.Keywords: action cancellation; action withholding; activation likelihood estimation meta-analysis; automatic inhibition; controlled inhibition; go/no-go task; multiple-demand network; stop-signal task; task complexity. |