guest ::
| Home > Publications database > Not All Stroop-Type Tasks Are Alike: Assessing the Impact of Stimulus Material, Task Design, and Cognitive Demand via Meta-analyses Across Neuroimaging Studies > print |
| Home > Publications database > Not All Stroop-Type Tasks Are Alike: Assessing the Impact of Stimulus Material, Task Design, and Cognitive Demand via Meta-analyses Across Neuroimaging Studies > print |
| 001 | 1031202 | ||
| 005 | 20251103202052.0 | ||
| 024 | 7 | _ | |a 10.1007/s11065-024-09647-1 |2 doi |
| 024 | 7 | _ | |a 1040-7308 |2 ISSN |
| 024 | 7 | _ | |a 1573-6660 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2024-05602 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-05602 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Müller, Veronika I. |0 P:(DE-Juel1)131699 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Not All Stroop-Type Tasks Are Alike: Assessing the Impact of Stimulus Material, Task Design, and Cognitive Demand via Meta-analyses Across Neuroimaging Studies |
| 260 | _ | _ | |a Dordrecht [u.a.] |c 2024 |b Springer Science + Business Media B.V |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1762162357_6331 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The Stroop effect is one of the most often studied examples of cognitive conflict processing. Over time, many variants of the classic Stroop task were used, including versions with different stimulus material, control conditions, presentation design, and combinations with additional cognitive demands. The neural and behavioral impact of this experimental variety, however, has never been systematically assessed. We used activation likelihood meta-analysis to summarize neuroimaging findings with Stroop-type tasks and to investigate whether involvement of the multiple-demand network (anterior insula, lateral frontal cortex, intraparietal sulcus, superior/inferior parietal lobules, midcingulate cortex, and pre-supplementary motor area) can be attributed to resolving some higher-order conflict that all of the tasks have in common, or if aspects that vary between task versions lead to specialization within this network. Across 133 neuroimaging experiments, incongruence processing in the color-word Stroop variant consistently recruited regions of the multiple-demand network, with modulation of spatial convergence by task variants. In addition, the neural patterns related to solving Stroop-like interference differed between versions of the task that use different stimulus material, with the only overlap between color-word, emotional picture-word, and other types of stimulus material in the posterior medial frontal cortex and right anterior insula. Follow-up analyses on behavior reported in these studies (in total 164 effect sizes) revealed only little impact of task variations on the mean effect size of reaction time. These results suggest qualitative processing differences among the family of Stroop variants, despite similar task difficulty levels, and should carefully be considered when planning or interpreting Stroop-type neuroimaging experiments.Keywords: Activation likelihood estimation; Cognitive control; Interference resolution; Neuroimaging meta-analysis; Stroop. |
| 536 | _ | _ | |a 5251 - Multilevel Brain Organization and Variability (POF4-525) |0 G:(DE-HGF)POF4-5251 |c POF4-525 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Cieslik, Edna C. |0 P:(DE-Juel1)131855 |b 1 |
| 700 | 1 | _ | |a Ficco, Linda |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Tyralla, Sandra |0 P:(DE-Juel1)186037 |b 3 |
| 700 | 1 | _ | |a Sepehry, Amir Ali |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Aziz-Safaie, Taraneh |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Feng, Chunliang |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Eickhoff, Simon B. |0 P:(DE-Juel1)131678 |b 7 |
| 700 | 1 | _ | |a Langner, Robert |0 P:(DE-Juel1)131693 |b 8 |
| 773 | _ | _ | |a 10.1007/s11065-024-09647-1 |0 PERI:(DE-600)2018507-8 |p - |t Neuropsychology review |v - |y 2024 |x 1040-7308 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1031202/files/s11065-024-09647-1.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1031202 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p openCost |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)131699 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)131855 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)131678 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 8 |6 P:(DE-Juel1)131693 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5251 |x 0 |
| 915 | p | c | |a APC keys set |0 PC:(DE-HGF)0000 |2 APC |
| 915 | p | c | |a Local Funding |0 PC:(DE-HGF)0001 |2 APC |
| 915 | p | c | |a DFG OA Publikationskosten |0 PC:(DE-HGF)0002 |2 APC |
| 915 | p | c | |a DEAL: Springer Nature 2020 |0 PC:(DE-HGF)0113 |2 APC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-25 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-08-25 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NEUROPSYCHOL REV : 2022 |d 2023-08-25 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-25 |
| 915 | _ | _ | |a DEAL Springer |0 StatID:(DE-HGF)3002 |2 StatID |d 2023-08-25 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-25 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-08-25 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b NEUROPSYCHOL REV : 2022 |d 2023-08-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1120 |2 StatID |b BIOSIS Reviews Reports And Meetings |d 2023-08-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0130 |2 StatID |b Social Sciences Citation Index |d 2023-08-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-25 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2023-08-25 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-25 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-7-20090406 |k INM-7 |l Gehirn & Verhalten |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-7-20090406 |
| 980 | _ | _ | |a APC |
| 980 | 1 | _ | |a APC |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|