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001031215 037__ $$aFZJ-2024-05611
001031215 1001_ $$0P:(DE-Juel1)131699$$aMüller, Veronika$$b0$$eCorresponding author$$ufzj
001031215 1112_ $$a53rd DGPs Congress/15th ÖGP Conference$$cVienna$$d2024-09-16 - 2024-09-19$$wAustria
001031215 245__ $$aStroop interference as a function of stimulus material, presentation design, control condition, and cognitive demand: Evidence from neuroimaging and behavioral meta-analyses
001031215 260__ $$c2024
001031215 3367_ $$033$$2EndNote$$aConference Paper
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001031215 520__ $$aOne of the best-known paradigms to study interference between cognitive processes isthe Stroop task1. Over time, many variants of the task have evolved2, differing with respectto stimulus material (e.g. color-word, picture-word or number variants), control conditions(congruent or neutral), presentation design (mixed or blocked), as well as combinations withadditional cognitive demands. The neural and behavioral impact of this variety, however, hasnever been systematically assessed. We performed a series of meta-analyses to synthesizebehavioral and neuroimaging findings of studies implementing Stroop-type tasks and toinvestigate commonalities and differences between different versions. In total, the coordinate-based meta-analyses included 133 neuroimaging experiments, which reported 164 effect sizesfor inclusion in the behavioral analyses. Results revealed little impact of task variations on themean effect size of reaction time (¯g=0.64 across all 164 effect sizes, CI = 0.56-0.73). Neurally,incongruence processing in the classic color-word Stroop variant consistently recruited regionsof the multiple-demand network, with some modulation of spatial convergence by stimulusmaterial, control condition, design, and cognitive demand. In line with the view of a “many-to-one mapping”3, our results suggest that the seemingly unitary behavioral costs of Stroop-type conflicts may arise from partly different neural processing mechanisms, depending oncontextual factors. The impact of different features of the task should therefore be carefullyconsidered when planning or interpreting Stroop-type experiments, especially in clinical orother applied fields.[1] Stroop, JR (1935). J.Exp.Psychol., 18:643-662.[2] McLeod, CM (1991). Psychol. Bull., 109 (2):163-203.[3] Westlin, C, et al. (2023). TiCS, 27(3):246-257
001031215 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001031215 909CO $$ooai:juser.fz-juelich.de:1031215$$pVDB
001031215 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131699$$aForschungszentrum Jülich$$b0$$kFZJ
001031215 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131699$$a HHU Düsseldorf$$b0
001031215 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001031215 9141_ $$y2024
001031215 920__ $$lno
001031215 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
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