1. The effect of task complexity on the neural network for response inhibition: An ALE meta-analysis.
- Author
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Aziz-Safaie, Taraneh, Müller, Veronika I., Langner, Robert, Eickhoff, Simon B., and Cieslik, Edna C.
- Subjects
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RESPONSE inhibition , *CONTROL (Psychology) , *EXECUTIVE function , *ALE , *LARGE-scale brain networks - 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. • We compared standard and complex go/no-go and stop-signal tasks via ALE meta-analysis. • Across studies, go/no-go vs stop-signal tasks recruit largely different brain networks. • Our findings suggest the two tasks probe distinct processes for response inhibition. • Response witholding in standard go/no-go tasks may rely on automatic processing. • Both standard and complex stop-signal tasks seem to tax controlled response inhibition. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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