%A Congdon,Eliza %A Mumford,Jeanette %A Cohen,Jessica %A Galvan,Adriana %A Canli,Turhan %A Poldrack,Russell %D 2012 %J Frontiers in Psychology %C %F %G English %K Reliability,response inhibition,Stop-signal reaction time %Q %R 10.3389/fpsyg.2012.00037 %W %L %M %P %7 %8 2012-February-21 %9 Original Research %+ Dr Eliza Congdon,University of California Los Angeles,UCLA Center for Neurobehavioral Genetics and Department of Psychiatry,695 Charles E. Young Dr. South,Gonda Box 951761,Los Angeles,90095-1761,CA,United States,econgdon@ucla.edu %# %! Response inhibition measurement and reliability %* %< %T Measurement and Reliability of Response Inhibition %U https://www.frontiersin.org/articles/10.3389/fpsyg.2012.00037 %V 3 %0 JOURNAL ARTICLE %@ 1664-1078 %X Response inhibition plays a critical role in adaptive functioning and can be assessed with the Stop-signal task, which requires participants to suppress prepotent motor responses. Evidence suggests that this ability to inhibit a prepotent motor response (reflected as Stop-signal reaction time (SSRT)) is a quantitative and heritable measure of interindividual variation in brain function. Although attention has been given to the optimal method of SSRT estimation, and initial evidence exists in support of its reliability, there is still variability in how Stop-signal task data are treated across samples. In order to examine this issue, we pooled data across three separate studies and examined the influence of multiple SSRT calculation methods and outlier calling on reliability (using Intra-class correlation). Our results suggest that an approach which uses the average of all available sessions, all trials of each session, and excludes outliers based on predetermined lenient criteria yields reliable SSRT estimates, while not excluding too many participants. Our findings further support the reliability of SSRT, which is commonly used as an index of inhibitory control, and provide support for its continued use as a neurocognitive phenotype.