___________________________________________________________________________________________________________________ MONETARY INCENTIVE DELAY GONOGO TASK ___________________________________________________________________________________________________________________ Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC Date: 09-15-2016 last updated: 10-03-2024 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 10-03-2024 Millisecond Software Millisecond Software thanks Ricardo Wilhelm for his collaboration on this script! ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ This script implements the Monetary Incentive Delay GoNogo Task; a task to induce anticipation of reward and punishment within the inhibition and control framework of a go/nogo task. The implemented procedure is based on: Behan, B., Stone, A., and Garavan, H. (2015). Right Prefrontal and Ventral Striatum Interactions Underlying Impulsive Choice and Impulsive Responding. Human Brain Mapping, 36, 187–198. ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants work through a cued gongo task with certain (= always followed by a go target) and uncertain (= half followed by a go and half are followed by a nogo target) go cues. Half the go cues (e.g. all green go cues) result in the possibility of a monetary reward, half the nogo cues (e.g. all green nogo cues) result in the possibility of a monetary loss. In a typical trial, participants see a fixation cross followed by a cue (either a square or a circle in either blue or green) for a variable time. The target (either a star = go or a stop sign = nogo) follows the cue. When participants see the star, they have to press the Spacebar as fast as possible. If the color of the cue was green, they will earn money for a hit response. When participants see the stop sign, they have to withold the response. If the color of the cue was green, they will lose money for a false alarm response but gain money for a correct rejection. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 40 minutes to complete Intro+ Practice: ~ 5min 1 Testblock: ~ 7min (x5) ___________________________ Total: ~40min ___________________________________________________________________________________________________________________ DATA OUTPUT DICTIONARY ___________________________________________________________________________________________________________________ The fields in the data files are: (1) Raw data file: 'monetaryincentivedelay_gonogo_raw*.iqdat' (a separate file for each participant)* build: The specific Inquisit version used (the 'build') that was run computer.platform: the platform the script was run on (win/mac/ios/android) date, time: date and time script was run subject, group, with the current subject/groupnumber session: with the current session id blockCode, blockNum: the name and number of the current block (built-in Inquisit variable) trialCode, trialNum: the name and number of the currently recorded trial (built-in Inquisit variable) Note: trialNum is a built-in Inquisit variable; it counts all trials run; even those that do not store data to the data file such as feedback trials. Thus, trialNum may not reflect the number of main trials run per block. certainGoShape: the shape of the certain Go shape uncertainGoShape: the shape of the uncertain Go shape rewardColor: the color of the shapes that get reinforced neutralColor: the color of the reinforcement neutral shapes trialType: "CCGo" (certain cue), "UCGo" (uncertain cue->go), "UCNogo" (uncertain cue-> nogo) fixationDuration: the duration (in ms) of the fixation cross cue: 1 = green square; 2 = blue square; 3 = green circle; 4 = blue circle cueShape: stores the shape of the cue cueColor: stores the color of the cue cueDuration: the duration (in ms) of the cue reinforcement: "reward" vs. "neutral" target: 0 = star (go); 1 = stop (nogo) targetStim: stores the target image presented goResponseWindow: the current response window (in ms) for go trials response: the participant's response correct: the correctness of the response (1 = correct; 0 = incorrect) latency: the response latency (in ms) feedback: 0 = gain; 1 = loss; 2 = happy; 3 = sad feedbackDuration: the current duration (in ms) of feedback stimulus total: the total earned (2) Summary data file: 'monetaryincentivedelay_gonogo_summary*.iqdat' (a separate file for each participant)* inquisit.version: Inquisit version run computer.platform: the platform the script was run on (win/mac/ios/android) startDate: date script was run startTime: time script was started subjectId: assigned subject id number groupId: assigned group id number sessionId: assigned session id number elapsedTime: time it took to run script (in ms); measured from onset to offset of script completed: 0 = script was not completed (prematurely aborted); 1 = script was completed (all conditions run) certainGoShape: the shape of the certain Go shape uncertainGoShape: the shape of the uncertain Go shape rewardColor: the color of the shapes that get reinforced neutralColor: the color of the reinforcement neutral shapes propCorrect: proportion correct response across all go and nogo trials meanRT: mean hit latency (in ms) across all go trials sd: standard deviation of all hit latencies (across all go trials) cc: certain cue (for a go-trial), uc: uncertain cue (could be followed by a go or nogo trial) omissionsCCGo: number of omission errors in certain cue go-trials rOmmissionCCGo: omission error rate in certain cue go-trials rHitCCGo: hit rate in certain cue go-trials omissionsUCGo: number of omission errors in UCGo trials rOmissionUCGo: omission error rate in UCGo trials rHitUCGo: hit rate in UCGo trials commissionsUCNoGo: number of commission errors in UCNogo trials rCommissionUCNoGo: commission error rate in UCNogo trials rCorrRejectUCNoGo: correct rejection rate in UCNogo trials //Signal detection measures zHitRateUC: z-score of the rHitUCGo zFaRateUC: z-score of the commissionsUCNogo Note: *Adjustments to z-scores as recommended by: Gregg, A. & Sedikides, C. (2010). Narcissistic Fragility: Rethinking Its Links to Explicit and Implicit Self-esteem, Self and Identity, 9:2, 142-161 (p.148) => Adjustments are made if the FArate (hitRate) = 0 (increased to 0.005) or 1 (decreased to 0.995)* dPrimeUC: Computes d' (parametric measure of discriminability btw. signals and noise) for UC (uncertain cue) Trials => Range (in this script): -5.1516586840152740479 <= dprime <= 5.1516586840152740479 (=perfect performance) => The higher the value, the better signals (go stims) were distinguished from noise (nogo stims) (d' = 0: chance performance; negative d-primes: participant treated nontargets as targets and targets as nontargets) cUC: c-criterion in signal detection:The absolute value of c provides an indication of the strength of the response bias/response style for UC (uncertain cue) Trials negative: participant more likely to report that signal (go stims) is present (liberal response style); may favor faster responding in speed-accuracy trade-off response paradigms positive: favoring caution (conservative response style) //Response Time Data: meanRTCCGo: mean hit latency (in ms) in CCGo trials sdCCGo: standard deviation of all CCGo hit latencies meanRTUCGo: mean hit latency (in ms) in UCGo trials sdUCGo: standard deviation of all UCGo hit latencies * separate data files: to change to one data file for all participants (on Inquisit Lab only), go to section "DATA" and follow further instructions ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ 2 cue shapes (square vs. circle): - certain cue (here: square) - uncertain cue (here: circle) 2 cue reward colors (green vs. blue) - monetary reinforced (reward, here: green) - no monetary reinforcement (neutral, here: blue) 6 trial types: CCGo_reward: certain go cue, can result in a monetary gain but no monetary loss CCGo_neutral: certain go cue, cannot result in a monetary gain nor in a monetary loss UCGo_reward: uncertain go cue with go target, can result in a monetary gain but no monetary loss UCGo_neutral: uncertain go cue with go target, cannot result in a monetary gain nor in a monetary loss UCNogo_reward: uncertain go cue with nogo target, can result in a monetary loss OR a monetary gain UCNogo_neutral: uncertain go cue with nogo target, cannot result in a monetary loss nor in a monetary gain 1. Practice Block: 12 trials (2 of each trialtype) 2. 5 Test Blocks of 30 trials (5 of each trialtype) = 150 test trials total (number of testblocks/number of trials per block are editable under section Editable Parameters) - the order of the 6 trial types is randomized !!!Note: the script is set up in such a way that the following constraints can be imposed on the sampling process: - no repeats of the same trials - A UCGo_reward and UCNogo_reward trials are not presented one after another - A UCGo_neutral and UCNogo_neutral trials are not presented one after another Since sampling is done on the fly - in some circumstances not all constraints might be fulfilled. To add those constraints, go to list.midRunTrialOrder under section 'BLOCKS' and follow instructions. - 6 different fixation cross durations/cue durations are used an equal number of times within each block (see section Editable Lists) - go target duration (= variable response window): starts at 400ms and decreases by 50ms with each hit and increases by 50ms with each miss - nogo target duration (= constant response window): stays at 600ms - go feedback: duration + last responsewindow = 2000ms - nogo feedback: duration + last responsewindow = 2000 (because responsewindow stays constant, feedback duration stays constant) Trial Sequence: fixation cross (btw. 2.2s-7.5s) -> cue (btw. 2.5s-7.5s) -> target (go target: dynamically adapted response window; nogo target: 600ms response window)-> feedback (go feedback: dynamically adapted duration ; nogo feedback; 1400ms) ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ provided by Millisecond Software, see section Editable Stimuli ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ provided by Millisecond Software in the form of htm-files, see section Editable Instructions ___________________________________________________________________________________________________________________ EDITABLE CODE ___________________________________________________________________________________________________________________ check below for (relatively) easily editable parameters, stimuli, instructions etc. Keep in mind that you can use this script as a template and therefore always "mess" with the entire code to further customize your experiment. The parameters you can change are: //responsekey /goKey: the go-response key (default: " " -> Spacebar) //sizing parameters /fixationSize: proportional sizing of fixation cross (default: 5% of canvas height) /cueSize: proportional sizing of cue size (default: 20% of canvas height) /targetSize: proportional sizing of target size (default: 20% of canvas height) /feedbackSize: proportional sizing of feedback image size (default: 20% of canvas height) //timing parameters /startGOResponseWindow: start duration (in ms) of go response window (default: 400ms) /noGoResponseWindow: constant duration (in ms) of nogo response window (default: 600ms) /goRWAdjustment: duration adjustment (in ms) of the go response window (default: 50ms) /defaultFeedbackDuration: default feedback duration (in ms) (default: 1400ms) Note: the feedback duration will get increased by the current response window / getReadyDurationMS: the duration (in ms) of the get-ready trial (default: 2000ms) //design parameters: /monetaryGain: the monetary gain for a go hit/nogo correction rejection in the reward condition (default: 0.2) /monetaryLoss: the monetary loss for a nogo false alarm in the reward condition (default: 0.4) /numberOfTestBlocks: sets the number of test blocks run (default: 5) /numberOfTestTrials: sets the number of test trials run per test block (default: 30) Note: needs to be a multiple of 6