Antisaccade Tasks

• DollarReward/RingReward – rewarded and neutral (EPrime)
  • Projects: NCANDA, Habit Study (R37)
  • Code:
    • https://github.com/LabNeuroCogDevel/lncdtask (Psychopy)
    • bea_res/Tasks/Behavorial/RingsRewardBehave_20190920
    • bea_res/Tasks/fromScanner20130219/Rings Reward
    • bea_res/Data/Temporary Raw Data/lab_eyetracker/subj_info
• AntiState (EPrime)
• Anti - no reward (variable iti, 4 sides, EPrime)
  • Brain Mechanisms R01 (7T), cog, pet?
  • bea_res/Tasks/Behavorial/anti-beakid/ANTI.es
• Bars (EPrime)

RAW FILES FROM EYE TRACKER ARE EDF OR EYD—– NEED TO BE CONVERTED TO ASC FOR SCRIPT TO WORK

Pull data [if Habit; /Volumes/L/bea_res/Data/Temporary Raw Data/lab_eyetracker/subj_info/sub-1*/ses*/*_DollarReward/sub_*.asc*]

To score, you need to

1. source dollarreward.R script in order to create score_all_anti function [https://github.com/LabNeuroCogDevel/autoeyescore/tree/master/EyeLink]
2. Run all data through function alldollarreward_data ← score_all_anti(“”)
3. Clean data by extracting lunaid, visit date, neutral vs reward trials, mutate variables you want like mean latency, percent of correct trials, percent of error corrected trials

For 7T EEG

 
[micromed_time, mark]=make_photodiodevector(EEG);

iti = mode(mark); 

mark = mark - iti + 254;
       
% 101-105: anti cue 
% 151-155: target (dot on, look away)
% 254 = back to fixation

simple = nan(size(mark));
simple(mark == 254)= 1; % (New ITI)
simple(mark>=100 & mark<110)= 2; % (new Anti cue - red fixation cross, prepatory)
simple(mark>=150 & mark<= 155)= 3; % (new dot on, look away)