Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm
This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful action cancellation. Functional magnetic resonance imaging (fMRI) approaches have frequently used the stop-signal task to examine this network. W...
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2025-01-01
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| Online Access: | https://elifesciences.org/articles/88652 |
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| author | Scott Isherwood Sarah A Kemp Steven Miletić Niek Stevenson Pierre-Louis Bazin Birte Forstmann |
| author_facet | Scott Isherwood Sarah A Kemp Steven Miletić Niek Stevenson Pierre-Louis Bazin Birte Forstmann |
| author_sort | Scott Isherwood |
| collection | DOAJ |
| description | This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful action cancellation. Functional magnetic resonance imaging (fMRI) approaches have frequently used the stop-signal task to examine this network. We merge five such datasets, using a novel aggregatory method allowing the unification of raw fMRI data across sites. This meta-analysis, along with other recent aggregatory fMRI studies, does not find evidence for the innervation of the hyperdirect or indirect cortico-basal-ganglia pathways in successful response inhibition. What we do find, is large subcortical activity profiles for failed stop trials. We discuss possible explanations for the mismatch of findings between the fMRI results presented here and results from other research modalities that have implicated nodes of the basal ganglia in successful inhibition. We also highlight the substantial effect smoothing can have on the conclusions drawn from task-specific general linear models. First and foremost, this study presents a proof of concept for meta-analytical methods that enable the merging of extensive, unprocessed, or unreduced datasets. It demonstrates the significant potential that open-access data sharing can offer to the research community. With an increasing number of datasets being shared publicly, researchers will have the ability to conduct meta-analyses on more than just summary data. |
| format | Article |
| id | doaj-art-c67b2abf3ac24e66bc5e417d1df7d0ac |
| institution | Kabale University |
| issn | 2050-084X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj-art-c67b2abf3ac24e66bc5e417d1df7d0ac2025-01-22T15:14:49ZengeLife Sciences Publications LtdeLife2050-084X2025-01-011210.7554/eLife.88652Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigmScott Isherwood0https://orcid.org/0000-0003-2045-9268Sarah A Kemp1Steven Miletić2https://orcid.org/0000-0001-7399-2926Niek Stevenson3Pierre-Louis Bazin4Birte Forstmann5Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, NetherlandsIntegrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Netherlands; Sensorimotor Neuroscience and Ageing Research Lab, School of Psychological Sciences, University of Tasmania, Hobart, AustraliaIntegrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Netherlands; Department of Psychology, Faculty of Social Sciences, Leiden University, Leiden, NetherlandsIntegrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, NetherlandsFull brain picture Analytics, Leiden, NetherlandsIntegrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, NetherlandsThis study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful action cancellation. Functional magnetic resonance imaging (fMRI) approaches have frequently used the stop-signal task to examine this network. We merge five such datasets, using a novel aggregatory method allowing the unification of raw fMRI data across sites. This meta-analysis, along with other recent aggregatory fMRI studies, does not find evidence for the innervation of the hyperdirect or indirect cortico-basal-ganglia pathways in successful response inhibition. What we do find, is large subcortical activity profiles for failed stop trials. We discuss possible explanations for the mismatch of findings between the fMRI results presented here and results from other research modalities that have implicated nodes of the basal ganglia in successful inhibition. We also highlight the substantial effect smoothing can have on the conclusions drawn from task-specific general linear models. First and foremost, this study presents a proof of concept for meta-analytical methods that enable the merging of extensive, unprocessed, or unreduced datasets. It demonstrates the significant potential that open-access data sharing can offer to the research community. With an increasing number of datasets being shared publicly, researchers will have the ability to conduct meta-analyses on more than just summary data.https://elifesciences.org/articles/88652MRIsubcortexinhibitionSST |
| spellingShingle | Scott Isherwood Sarah A Kemp Steven Miletić Niek Stevenson Pierre-Louis Bazin Birte Forstmann Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm eLife MRI subcortex inhibition SST |
| title | Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm |
| title_full | Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm |
| title_fullStr | Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm |
| title_full_unstemmed | Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm |
| title_short | Multi-study fMRI outlooks on subcortical BOLD responses in the stop-signal paradigm |
| title_sort | multi study fmri outlooks on subcortical bold responses in the stop signal paradigm |
| topic | MRI subcortex inhibition SST |
| url | https://elifesciences.org/articles/88652 |
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