___________________________________________________________________________________________________________________ Cued Go / No-Go Task (Brasilian Portuguese Version) ___________________________________________________________________________________________________________________ last updated: 03-14-2024 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 03-14-2024 Millisecond Software Millisecond Software thanks Dr. Keitiline Viacava for sharing her Brazilian Portuguese translations! ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ Go/Nogo Tasks are used as behavioral measures of inhibition and cognitive control. This script implements a probability based cued Go / No-Go Task that presents a) cues that predict go trials with a high probability ('go cue') and b) cues that predict nogo trials with a high probability ('nogo cue'). In general, commission errors are of particular interest in all Go/Nogo tasks as a measure of cognitive control. In cued Go/Nogo tasks, go-cues are thought to generate a response prepotency that speed up correct responses in go-trials but add an additional difficulty to overcome in subsequent nogo trials and therefore increase the likelihood of commission errors. As a result, the cued go/nogo paradigm provides a sensitive measure of cognitive control. The implemented procedure is based on: Fillmore, M. T., Rush, C. R., & Hays, L. (2006). Acute effects of cocaine in two models of inhibitory control: implications of non-linear dose effects. Addiction, 101, 1323–1332. ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants are asked to press the Spacebar when they see a green rectangle (=go) but refrain from pressing the Spacebar when they see a blue rectangle (=nogo). The blue and green rectangles can be vertical or horizontal. The vertical rectangle has a high probability of being green (a go trial) and the horizontal rectangle has a high probability of being blue (a nogo trial). Participants get information about the orientation of the rectangle (=cue) shortly before the color of the rectangle is revealed. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 10 minutes to complete ___________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'cuedgonogo_portuguese_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. trialcount: current trialcount cuetype: 1 = vertical cue (high probability of preceding a go-trial ~ a go cue) 2 = horizontal cue (high probability of preceding a nogo-trial ~ a nogo cue) targettype: 1 = vertical go 2 = vertical nogo 3 = horizonal go 4 = horizonal nogo targetcondition: 1 = go target 2 = nogo target soa: current stimulus onset asynchrony cuepic: the image file presented as the cue targetpic: the image file presented as the target response: response made (either 57 = Spacebar or "" for no response) correct: the accuracy of response (1 = correct; 0 = error) latency: the latency (in ms) of the response (or if no response: trialduration); measured from onset of target (2) Summary data file: 'cuedgonogo_portuguese_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) errorrate: overall error rate (omission + commission errors) omissionrate: error rate in go-trials (participant missed to press Spacebar) commission: error rate in nogo trials (participants hit the Spacebar) error_verticalcue: error rate for trials in which cue = vertical error_horizontalcue: error rate for trials in which cue = horizontal omissionerror_v: error rate for trials in which cue = vertical ('go' cue) and target = go commission_v: error rate for trials in which cue = vertical ('go' cue) and target = nogo (DV of interest) omissionerror_h: error rate for trials in which cue = horizontal ('nogo' cue) and target = go commission_h: error rate for trials in which cue = horizontal ('nogo' cue) and target = nogo meanrt: overall mean rt (in ms) for target = go (for hits = correct responses only) meanrt_verticalcue_gotarget: mean rt (in ms) for trial in which cue = vertical (go cue) and target = go (for hits = correct responses only) meanrt_horizontalcue_gotarget: mean rt (in ms) for trial in which cue = horizontal (nogo cue) and target = go (for hits = correct responses only) ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ Factorial design with 5 x SOA (100,200,300,400,500) 2 x Cue (1=vertical,2=horizontal) 2 x Target (Go, No-Go) Vertical cue go / no-go ratio is 4:1 (80% go trials, 20% no-go trials) => higher probability of go trials after vertical cue Horizontal cue go / no-go ratio is 1:4 (20% go trials, 80% no-go trials) => higher probability of nogo trials after horizontal cue Minimum number of trials required to fulfill the above conditions is 50. Task runs 250 trials, i.e., each factor combination is repeated 5 times. => 100 vertical cue-go targets (20 for each SOA); 25 vertical cue-nogo targets (5 for each SOA) => 100 horizontal cue-nogo targets (20 for each SOA); 25 horizontal cue-go targets (5 for each SOA) ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ see section Editable Stimuli ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ 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: / fixationduration: duration of the fixation cross in ms (default: 800) / cue_delay: interstimulus interval between offset of fixation and onset of cue in ms (default: 500ms) / responsetimeout: responsetimeout in ms (default: 1000) / iti: intertrial interval in ms (default: 700)