Home > Publications database > NEURAL CORRELATES OF CONFLICTS.Delineating the Neural Correlates of Conflict Arising From Different Task Types Within the Dimensional Overlap Model |
Bachelor Thesis | FZJ-2025-01343 |
2024
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Please use a persistent id in citations: doi:10.34734/FZJ-2025-01343
Abstract: Interference control is an essential skill humans use in their everyday life to focus on relevant information and to filter out irrelevant information in their environment. Popular tools to measure this cognitive ability are the Stroop and Flanker paradigms. Interference control can be influenced by conflicts arising from the relations of stimulus dimensions (SS conflict) and stimulus and response dimensions (SR conflict) which are defined according to the Dimensional Overlap Model, as well as from effects of the paradigm used. This study systematically assesses neuronal correlates of interference processing related to the (1) underlying SS or SR conflicts and (2) paradigm-type, as well as the involvement of the multiple demand system for resolving these conflicts. Activation likelihood estimation meta-analyses were used to analyze 85 Stroop and 41 Flanker experiments. Conjunction analyses (1) across tasks with the same underlying conflict and (2) across tasks of the same paradigm were conducted to reveal neural commonalities. The pMFC and left intra parietal sulcus were identified as core regions of the SS conflict, while right anterior insula and right intra parietal sulcus were identified as core regions of the additional SR conflict. The conjunction analysisrevealed additional conflict-independent conjoint involvement of left anterior insula and left inferior frontal junction across Stroop tasks, while no additional regions were found across the Flanker tasks. Hence, both SS and SR conflict recruit key regions of the multiple demand network, with additional regions showing paradigm effects for the Stroop task. These results suggest an influence of underlying conflict and paradigm-type indicating both must be considered when measuring interference control.Keywords: interference control, stimulus conflict, stimulus response conflict, dimensional overlap, Flanker, Stroop, activation likelihood estimation, meta-analysis
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