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tools:antisaccade [2025/03/28 16:34] – vid79tools:antisaccade [2025/04/01 12:41] (current) – [EOG Data] code formatting, add link will
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 ==== Exclusion Criteria ==== ==== 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)) - this is because that would be like the minimal trials where we can do good stats and not have crazy error bars, etc.+  - 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)   - Less than 50% 'on task' trials (coded as 1,2)
-  - Statistical outliers by the residuals of the model; people whose residuals are ±2 SD from the mean across any measure +  - Statistical outliers by the residuals of the model; ppt whose residuals are ±2 SD from the mean across any measure
- +
--thank you Ashley+
  
 +-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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 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   - Run script? Should export long-format csv with all variables of interest that can be pulled into R
  
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   - 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)   - 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   - 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] +  - Turn to wide format so each row represents a single participant [see code ''/Volumes/Hera/Victoria/Antisaccade-impulsive-control/EOG_Antisaccade_cleaning.Rmd''] 
  
  
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-  - Analyze variables of interest [ /Volumes/Hera/Victoria/Antisaccade-impulsive-control/Analysis_EOG_as_data.Rmd] +  - Analyze variables of interest [''/Volumes/Hera/Victoria/Antisaccade-impulsive-control/Analysis_EOG_as_data.Rmd''] 
   -    - 
 ===== EEG Data (EPrime) ===== ===== EEG Data (EPrime) =====