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005     20250203103328.0
024 7 _ |a 10.34734/FZJ-2025-01342
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037 _ _ |a FZJ-2025-01342
100 1 _ |a Rubab, Uma Tur
|0 P:(DE-Juel1)201378
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|e Corresponding author
245 _ _ |a Neural correlates of response selection involved during forced choice paradigms: a neuroimaging meta-analysis
|f - 2024-12-16
260 _ _ |c 2024
300 _ _ |a 54
336 7 _ |a Output Types/Supervised Student Publication
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336 7 _ |a Thesis
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336 7 _ |a MASTERSTHESIS
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336 7 _ |a masterThesis
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336 7 _ |a Master Thesis
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|m master
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|2 PUB:(DE-HGF)
336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
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502 _ _ |a Masterarbeit, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2024
|c Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
|b Masterarbeit
|d 2024
520 _ _ |a The appropriate motor responses must be selected and executed in a given context to facilitate goal-directed behaviour. Here, we aimed to delineate the brain regions that are involved in the selection of motor responses via quantitative meta-analysis of pertinent neuroimaging studies. In particular, we investigated the core neural correlates involved during forced two-choice response selection paradigms. In total, our sample comprised 48 studies: 25 for forced two-choice response selection with two-motor response options and 23 studies for forced two-choice response selection with respond and not-respond options, including 2,988 subjects in 48 contrasts with 1,054 activation foci. Consistent convergence in both datasets has been seen in the bilateral fronto-parietal network, the brain regions that may form the core network subserving response selection in humans, including the pre-supplementary motor area (preSMA), precentral gyrus, superior parietal lobule, and subcortical structures—putamen and bilateral cerebellum VI. Whereas several regions were sensitive to specific task components, e.g., the lateral occipital cortex and occipital fusiform gyrus were selectively active, which are thought to be involved during more complex visual processing of stimuli. In general, the Response Selection construct with respect to both impressions (i.e., Two Motor Response and Respond and Not-respond) engaged the same neural network despite the difference in the number of possible motor response options. Here, we discussed the possible functional roles of various nodes of this network as well as implications of our findings for a theoretical account of response selection. In conclusion, the shortcomings of previous studies are considered, and suggestions for future research are provided.Keywords: response selection, forced two-choice, (f)MRI, meta-analysis, activation likelihood estimation (ALE) algorithm
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536 _ _ |a 5253 - Neuroimaging (POF4-525)
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856 4 _ |u https://juser.fz-juelich.de/record/1038345/files/Masterarbeit_Uma%20Tur%20Rubab.pdf
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909 C O |o oai:juser.fz-juelich.de:1038345
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Universität Kaiserslautern rubab@rptu.de
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914 1 _ |y 2024
915 _ _ |a OpenAccess
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