Literature DB >> 22820235

Brain networks subserving fixed versus performance-adjusted delay stop trials in a stop signal task.

Mira Fauth-Bühler1, Mischa de Rover, Katya Rubia, Hugh Garavan, Sanja Abbott, Luke Clark, Sabine Vollstädt-Klein, Karl Mann, Gunter Schumann, Trevor W Robbins.   

Abstract

The stop signal task is a widely used tool for assessing inhibitory motor control. Two main task variants exist: (1) a fixed delay version, where all volunteers complete the same trials, resulting in performance differences due to individual variation in inhibitory capacity, and (2) a performance-adjusted version that uses a tracking algorithm to equate performance and task difficulty across subjects, leading to ∼50% successful inhibition for every participant. Our aim was to investigate commonalities, mean differences and between-subject variability in brain activation for successful response inhibition between the performance-adjusted and fixed delay version. We conducted a functional magnetic resonance imaging (fMRI) study in 18 healthy individuals, using a within-subject, within-task design where both adjusting and fixed delay trials were analysed separately. Conjunction analyses identified a network of areas involved in successful response inhibition in both task versions. In comparing the fixed and performance-adjusted versions, we found no significant differences between delay conditions during successful inhibition. While activation measures in the inhibitory networks of both delay variants were highly comparable, the neural responses to fixed delay trials were more variable across participants. This suggests that performance-adjusted stop signal tasks may be more suitable for studies in which the performance differences need to be controlled for, such as for developmental or clinical studies. Fixed delay stop signal tasks may be more appropriate in studies assessing the neural basis of individual differences in performance, such as studies of personality traits or genetic associations.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22820235     DOI: 10.1016/j.bbr.2012.07.023

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  4 in total

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Authors:  Mira Fauth-Bühler; Karl Mann; Marc N Potenza
Journal:  Addict Biol       Date:  2016-03-03       Impact factor: 4.280

Review 2.  Three key regions for supervisory attentional control: evidence from neuroimaging meta-analyses.

Authors:  Edna C Cieslik; Veronika I Mueller; Claudia R Eickhoff; Robert Langner; Simon B Eickhoff
Journal:  Neurosci Biobehav Rev       Date:  2014-11-11       Impact factor: 8.989

3.  People with tobacco use disorder exhibit more prefrontal activity during preparatory control but reduced anterior cingulate activity during reactive control.

Authors:  Shivam Kalhan; Li Peng Evelyn Chen; Marta I Garrido; Robert Hester
Journal:  Addict Biol       Date:  2022-03       Impact factor: 4.093

4.  The IMAGEN study: a decade of imaging genetics in adolescents.

Authors:  Lea Mascarell Maričić; Henrik Walter; Gunter Schumann; Andreas Heinz; Annika Rosenthal; Stephan Ripke; Erin Burke Quinlan; Tobias Banaschewski; Gareth J Barker; Arun L W Bokde; Uli Bromberg; Christian Büchel; Sylvane Desrivières; Herta Flor; Vincent Frouin; Hugh Garavan; Bernd Itterman; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Frauke Nees; Dimitri Papadopoulos Orfanos; Tomáš Paus; Luise Poustka; Sarah Hohmann; Michael N Smolka; Juliane H Fröhner; Robert Whelan; Jakob Kaminski
Journal:  Mol Psychiatry       Date:  2020-06-29       Impact factor: 13.437

  4 in total

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