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tools:antisaccade [2024/12/24 14:23] – [Behavioral Data] willtools:antisaccade [2025/04/01 12:41] (current) – [EOG Data] code formatting, add link will
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-====== Antisaccade Tasks ====== +======  Antisaccade Tasks ====== 
- +
 {{:tools:pasted:20241121-130148.png}} {{:tools:pasted:20241121-130148.png}}
 +
 Fig 1. Anti-saccade task, //taken from Luna et al, NeuroImage, 2001//. Fig 1. Anti-saccade task, //taken from Luna et al, NeuroImage, 2001//.
  
-=== Versions === +Scoring by [[tools:autoeyescore]], see [[https://github.com/LabNeuroCogDevel/autoeyescore/?tab=readme-ov-file#citations|github readme citation section]] lab papers methods quotes. See [[:tools:eyetracking]] for camera hardware.
-  * DollarReward/RingReward -- rewarded and neutral ([[:tools:eprime]]) +
-    * Projects: [[:bigdata:NCANDA]], [[grants:habit]]  +
-    * Code:  +
-      * https://github.com/LabNeuroCogDevel/lncdtask  ([[:tools:psychopy]]) +
-      * ''bea_res/Tasks/Behavorial/RingsRewardBehave_20190920'' +
-      * ''bea_res/Tasks/fromScanner20130219/Rings Reward'' +
-      * ''bea_res/Data/Temporary Raw Data/lab_eyetracker/subj_info'' +
-  * AntiState  ([[:tools:eprime]]) +
-  * Anti - no reward (variable iti, 4 sides,  [[:tools:eprime]]) +
-    * [[grants:7t]], cog, pet? +
-    * ''bea_res/Tasks/Behavorial/anti-beakid/ANTI.es'' +
-  * Bars  ([[:tools:eprime]])+
  
 +===== Versions =====
  
 +The breakdown of antisaccade tasks is below. For all [[:tools:eyetracking]] tasks, see [[tools:eyetracking#tasks|EyeTracking Task Table]] (includes [[tools:mgs]]). 
 +
 +^Version^ sides ^ cue ^ timing ^
 +|[[:tools:antisaccade:DollarReward]]| 6 | rew/nue          | .5s cue|
 +|[[:tools:antisaccade:Anti]]        | 4 | red cross        | var cue, var iti |
 +|[[:tools:antisaccade:Antistate]]   | |                  | |
 +|[[:tools:antisaccade:bars]]        | | rew/pun w/levels | |
 +==== Anti Task by Project ====
 +
 +^ Dates ^ Project ^ Location ^ version ^ Tracker ^ File ^ 
 +|                        | Cog   | Loef       | DollarReward      | ASL     | |
 +|                        | Cog   | NIC        | DollarReward (MR) | ASL LRO | |
 +|                        | Reward| Loef       | Bars              | ASL     | |
 +|                        | Reward| MRRC       | Bars (MR)         | ASL LRO | |
 +|                        | PET   | MRRC (mMR) | Frogger           | ASL LRO | |
 +|2018-01-24 - 2022-10-27 | 7T    | Loef       | Anti              | ASL     | |
 +|                        | 7T    | BST3       | mgs_encode        | ASL LRO | |
 +|                        | 7T    | EEG        | Anti              | EOG     | |
 +|                        | Habit | Loef       | DollarReward      | ASL,EyeLink| | 
 +|                        | Habit | EEG        | DollarReward      | EOG     | |
 +|                        | SPA   | Loef       | DollarReward      | ASL,EyeLink?   | |
 +|                        | SPA   | EEG        | Anti              | EOG            | |
 +
 +
 +==== Exclusion Criteria ====
 +  - Fewer than 25 viable trials (this means they have to have 25 (n) that are not dropped/scored as -1 (can be 0,1,2)) - what we consider the minimum of trials where we believe the ppt actually understood the task
 +  - Less than 50% 'on task' trials (coded as 1,2)
 +  - Statistical outliers by the residuals of the model; ppt whose residuals are ±2 SD from the mean across any measure
 +
 +-in progress
 ===== Behavioral Data ===== ===== Behavioral Data =====
 //RAW FILES FROM EYE TRACKER ARE EDF OR EYD----- NEED TO BE CONVERTED TO ASC FOR SCRIPT TO WORK// //RAW FILES FROM EYE TRACKER ARE EDF OR EYD----- NEED TO BE CONVERTED TO ASC FOR SCRIPT TO WORK//
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   * ''2'', error corrected- the participant first looked at the stimulus then looked in the opposite direction   * ''2'', error corrected- the participant first looked at the stimulus then looked in the opposite direction
  
-**percent of error corrected trials is computed as trials scored 2/0+1+2, can be computed as 2/1+2.+percent of error corrected trials is computed as trials scored 2/0+1+2, can be computed as 2/1+2. 
  
 ===== EOG Data ===== ===== EOG Data =====
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 Raw files from EEG are .bdf and can be read immediately into MATLAB script Raw files from EEG are .bdf and can be read immediately into MATLAB script
  
-  - Open MATLAB scoring script score_anti.m [/Volumes/Hera/Projects/7TBrainMech/scripts/eeg/eog_cal] +  - Open MATLAB scoring script [''/Volumes/Hera/Projects/7TBrainMech/scripts/eeg/eog_cal''] 
-  - Identify data location [if Habit: /Volumes/Hera/Raw/EEG/Habit] +  - Identify data location [if Habit: ''/Volumes/Hera/Raw/EEG/Habit''] 
-  - Grab subject*_anti.bdf and subject*_eyecal.bdf +  - Grab ''subject*_anti.bdf'' and ''subject*_eyecal.bdf'' 
-  - Information on stimulus channel output [https://github.com/LabNeuroCogDevel/lncdtask/blob/main/lncdtask/dollarreward.py]+  - Information on stimulus channel output, see [[https://github.com/LabNeuroCogDevel/lncdtask/blob/main/lncdtask/dollarreward.py|dollarreward.py]] 
 +  - Run script? Should export long-format csv with all variables of interest that can be pulled into R 
 + 
 +Processed csv read into R 
 + 
 +**STEPS REPEATED AS ABOVE FOR BEHAVIORAL DATA** 
 +  - Data should have a row for every trial (repeating lunaid) and saccade information per column (ex: dot position, trial type, latency, number of saccades, and computed event outcome) 
 +  - Clean data by extracting lunaid, visit date, neutral vs reward trials, mutate variables you want like mean latency of correct trials, correct response rate (percent of correct trials; accuracy), percent of error corrected trials (error rate), latency variability for correct trials 
 +  - Turn to wide format so each row represents a single participant [see code ''/Volumes/Hera/Victoria/Antisaccade-impulsive-control/EOG_Antisaccade_cleaning.Rmd'']  
 + 
 + 
 +**percent of error corrected trials is computed as trials scored 2/1+2. 
 + 
 + 
 +  - Analyze variables of interest [''/Volumes/Hera/Victoria/Antisaccade-impulsive-control/Analysis_EOG_as_data.Rmd'']  
 +  - 
 ===== EEG Data (EPrime) ===== ===== EEG Data (EPrime) =====
 For [[:grants:7t:eeg|7T EEG]] For [[:grants:7t:eeg|7T EEG]]