Decomposing Decision Components in the Stop-signal Task: A Model-based Approach to Individual Differences in Inhibitory Control
The stop-signal task, in which participants must inhibit prepotent responses, has been used to identify neural systems that vary with individual differences in inhibitory control. To explore how these differences relate to other aspects of decision making, a drift-diffusion model of simple decisions...
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| Veröffentlicht in: | Journal of cognitive neuroscience 2014-08, Vol.26 (8), p.1601-1614 |
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| container_title | Journal of cognitive neuroscience |
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| creator | White, Corey N. Congdon, Eliza Mumford, Jeanette A. Karlsgodt, Katherine H. Sabb, Fred W. Freimer, Nelson B. London, Edythe D. Cannon, Tyrone D. Bilder, Robert M. Poldrack, Russell A. |
| description | The stop-signal task, in which participants must inhibit prepotent responses, has been used to identify neural systems that vary with individual differences in inhibitory control. To explore how these differences relate to other aspects of decision making, a drift-diffusion model of simple decisions was fitted to stop-signal task data from go trials to extract measures of caution, motor execution time, and stimulus processing speed for each of 123 participants. These values were used to probe fMRI data to explore individual differences in neural activation. Faster processing of the go stimulus correlated with greater activation in the right frontal pole for both go and stop trials. On stop trials, stimulus processing speed also correlated with regions implicated in inhibitory control, including the right inferior frontal gyrus, medial frontal gyrus, and BG. Individual differences in motor execution time correlated with activation of the right parietal cortex. These findings suggest a robust relationship between the speed of stimulus processing and inhibitory processing at the neural level. This model-based approach provides novel insight into the interrelationships among decision components involved in inhibitory control and raises interesting questions about strategic adjustments in performance and inhibitory deficits associated with psychopathology. |
| doi_str_mv | 10.1162/jocn_a_00567 |
| format | Article |
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To explore how these differences relate to other aspects of decision making, a drift-diffusion model of simple decisions was fitted to stop-signal task data from go trials to extract measures of caution, motor execution time, and stimulus processing speed for each of 123 participants. These values were used to probe fMRI data to explore individual differences in neural activation. Faster processing of the go stimulus correlated with greater activation in the right frontal pole for both go and stop trials. On stop trials, stimulus processing speed also correlated with regions implicated in inhibitory control, including the right inferior frontal gyrus, medial frontal gyrus, and BG. Individual differences in motor execution time correlated with activation of the right parietal cortex. These findings suggest a robust relationship between the speed of stimulus processing and inhibitory processing at the neural level. 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To explore how these differences relate to other aspects of decision making, a drift-diffusion model of simple decisions was fitted to stop-signal task data from go trials to extract measures of caution, motor execution time, and stimulus processing speed for each of 123 participants. These values were used to probe fMRI data to explore individual differences in neural activation. Faster processing of the go stimulus correlated with greater activation in the right frontal pole for both go and stop trials. On stop trials, stimulus processing speed also correlated with regions implicated in inhibitory control, including the right inferior frontal gyrus, medial frontal gyrus, and BG. Individual differences in motor execution time correlated with activation of the right parietal cortex. These findings suggest a robust relationship between the speed of stimulus processing and inhibitory processing at the neural level. This model-based approach provides novel insight into the interrelationships among decision components involved in inhibitory control and raises interesting questions about strategic adjustments in performance and inhibitory deficits associated with psychopathology.</description><subject>Adult</subject><subject>Decision making</subject><subject>Decision Making - physiology</subject><subject>Executive Function - physiology</subject><subject>Functional Neuroimaging - methods</subject><subject>Humans</subject><subject>Individuality</subject><subject>Information processing</subject><subject>Inhibition (Psychology)</subject><subject>Magnetic Resonance Imaging</subject><subject>Middle Aged</subject><subject>Models, Psychological</subject><subject>Neurons</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Prefrontal Cortex - physiology</subject><subject>Psychomotor Performance - physiology</subject><subject>Psychopathology</subject><subject>Young Adult</subject><issn>0898-929X</issn><issn>1530-8898</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkktvEzEQgFcIREPhxhlZ4tIDC-PXrs2hIkp5RCriQJG4WV6vN3HY2Iu9iVQu_HWcpFShqsRpLM-nb2bsKYrnGF5jXJE3q2C80gqAV_WDYoI5hVIIKR4WE8ihlER-PymepLQCAMIr9rg4IYwBx4JPit8X1oT1EJLzC5TPLrng0Wx35a0fE3IejUuLvo5hKJNbeN2jK51-vEVT9Dm0ti8bnWyLpsMQgzZLNAY0963bunaT0QvXdTZab-zeNPdL17gxxOtcwo8x9E-LR53uk312E0-Lbx_eX80-lZdfPs5n08vSVIDHktYgWsNI1TFMpOwob2oMomsq2VjJqcASWhAGs7qtua46w0ylgQouGAZG6WlxfvAOm2ZtW5Nni7pXQ3RrHa9V0E79m_FuqRZhqxjOauBZcHYjiOHnxqZRrV0ytu-1t2GTFBaUEE4qqP-PcoZpzcje-vIOugqbmB95T1EqJa5xpl4dKBNDStF2t31jULslUMdLkPEXx7Pewn9_PQPvDsDaHRXcObakckJRoIzVigDBWa9Aql9uuFvj7B7Fve38AXV00E0</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>White, Corey N.</creator><creator>Congdon, Eliza</creator><creator>Mumford, Jeanette A.</creator><creator>Karlsgodt, Katherine H.</creator><creator>Sabb, Fred W.</creator><creator>Freimer, Nelson B.</creator><creator>London, Edythe D.</creator><creator>Cannon, Tyrone D.</creator><creator>Bilder, Robert M.</creator><creator>Poldrack, Russell A.</creator><general>MIT Press</general><general>MIT Press Journals, The</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140801</creationdate><title>Decomposing Decision Components in the Stop-signal Task: A Model-based Approach to Individual Differences in Inhibitory Control</title><author>White, Corey N. ; Congdon, Eliza ; Mumford, Jeanette A. ; Karlsgodt, Katherine H. ; Sabb, Fred W. ; Freimer, Nelson B. ; London, Edythe D. ; Cannon, Tyrone D. ; Bilder, Robert M. ; Poldrack, Russell A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c601t-3708dc426f41299f35b7108fb69be9538190d08c147d75a6fc4c6a03858410433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Decision making</topic><topic>Decision Making - physiology</topic><topic>Executive Function - physiology</topic><topic>Functional Neuroimaging - methods</topic><topic>Humans</topic><topic>Individuality</topic><topic>Information processing</topic><topic>Inhibition (Psychology)</topic><topic>Magnetic Resonance Imaging</topic><topic>Middle Aged</topic><topic>Models, Psychological</topic><topic>Neurons</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Prefrontal Cortex - physiology</topic><topic>Psychomotor Performance - physiology</topic><topic>Psychopathology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>White, Corey N.</creatorcontrib><creatorcontrib>Congdon, Eliza</creatorcontrib><creatorcontrib>Mumford, Jeanette A.</creatorcontrib><creatorcontrib>Karlsgodt, Katherine H.</creatorcontrib><creatorcontrib>Sabb, Fred W.</creatorcontrib><creatorcontrib>Freimer, Nelson B.</creatorcontrib><creatorcontrib>London, Edythe D.</creatorcontrib><creatorcontrib>Cannon, Tyrone D.</creatorcontrib><creatorcontrib>Bilder, Robert M.</creatorcontrib><creatorcontrib>Poldrack, Russell A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of cognitive neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>White, Corey N.</au><au>Congdon, Eliza</au><au>Mumford, Jeanette A.</au><au>Karlsgodt, Katherine H.</au><au>Sabb, Fred W.</au><au>Freimer, Nelson B.</au><au>London, Edythe D.</au><au>Cannon, Tyrone D.</au><au>Bilder, Robert M.</au><au>Poldrack, Russell A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decomposing Decision Components in the Stop-signal Task: A Model-based Approach to Individual Differences in Inhibitory Control</atitle><jtitle>Journal of cognitive neuroscience</jtitle><addtitle>J Cogn Neurosci</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>26</volume><issue>8</issue><spage>1601</spage><epage>1614</epage><pages>1601-1614</pages><issn>0898-929X</issn><eissn>1530-8898</eissn><abstract>The stop-signal task, in which participants must inhibit prepotent responses, has been used to identify neural systems that vary with individual differences in inhibitory control. 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| subjects | Adult Decision making Decision Making - physiology Executive Function - physiology Functional Neuroimaging - methods Humans Individuality Information processing Inhibition (Psychology) Magnetic Resonance Imaging Middle Aged Models, Psychological Neurons NMR Nuclear magnetic resonance Prefrontal Cortex - physiology Psychomotor Performance - physiology Psychopathology Young Adult |
| title | Decomposing Decision Components in the Stop-signal Task: A Model-based Approach to Individual Differences in Inhibitory Control |
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