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| tools:antisaccade [2024/11/21 13:03] – [Trigger] vid79 | tools:antisaccade [2026/07/14 13:13] (current) – [EOG Data] will | ||
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| - | ====== Antisaccade Tasks ====== | + | ====== |
| - | + | ||
| - | {{: | + | The LNCD has a collection of tasks varying how a participant should look away from or to a dot. |
| - | Fig 1. Anti-saccade task, taken from Luna et al, NeuroImage, 2001. | + | |
| + | Scoring by [[tools: | ||
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| + | {{ : | ||
| + | Fig 1. Anti-saccade task, //taken from Luna et al, NeuroImage, 2001//. | ||
| + | |||
| + | ===== Versions ===== | ||
| + | |||
| + | The breakdown of antisaccade tasks is below. For all [[: | ||
| + | |||
| + | ^Version^ sides ^ cue ^ timing ^ grants ^ | ||
| + | |[[: | ||
| + | |[[: | ||
| + | |[[: | ||
| + | |[[: | ||
| + | |[[: | ||
| + | ==== Anti Task by Project ==== | ||
| + | |||
| + | ^ Dates ^ Project ^ Location ^ version ^ Tracker ^ File ^ | ||
| + | | | Cog | Loef | DollarReward | ||
| + | | | Cog | NIC | DollarReward (MR) | ASL LRO | | | ||
| + | | | Reward| Loef | Bars | ASL | | | ||
| + | | | Reward| MRRC | Bars (MR) | ASL LRO | | | ||
| + | | | PET | MRRC (mMR) | Frogger | ||
| + | |2018-01-24 - 2022-10-27 | 7T | Loef | Anti | ASL | | | ||
| + | | | 7T | BST3 7T | mgs_encode | ||
| + | | | 7T | EEG | Anti | EOG | | | ||
| + | | | Habit | Loef | DollarReward | ||
| + | | | Habit | EEG | DollarReward | ||
| + | | | SPA | Loef | DollarReward | ||
| + | | | SPA | EEG | Anti | EOG | | | ||
| - | === Versions === | ||
| - | * DollarReward/ | ||
| - | * Projects: [[: | ||
| - | * Code: | ||
| - | * https:// | ||
| - | * '' | ||
| - | * '' | ||
| - | * '' | ||
| - | * AntiState | ||
| - | * Anti - no reward (variable iti, 4 sides, | ||
| - | * [[grants: | ||
| - | * '' | ||
| - | * Bars ([[: | ||
| + | ==== Exclusion Criteria ==== | ||
| + | - Fewer than 25 viable trials (this means they have to have 25 (n) that are not dropped/ | ||
| + | - 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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| - | - Clean data by extracting lunaid, visit date, neutral vs reward trials, mutate variables you want like mean latency, | + | - Clean data by extracting lunaid, visit date, neutral vs reward trials, mutate variables you want like mean latency, correct |
| - Turn to wide format so each row represents a single participant | - Turn to wide format so each row represents a single participant | ||
| - | Coding outcome: | + | Coding outcome |
| - | * -1, dropped event or bad eye tracking | + | * '' |
| - | * 0, incorrect- the participant looked directly at the stimulus | + | * '' |
| - | * 1, correct- the participant looked in the opposite direction of the stimulus | + | * '' |
| - | * 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 ===== | ||
| + | //see [[tools: | ||
| + | |||
| + | Raw files from EEG are .bdf and can be read immediately into MATLAB script | ||
| + | |||
| + | - Open MATLAB scoring script [''/ | ||
| + | - Identify data location [if Habit: ''/ | ||
| + | - Grab '' | ||
| + | - Information on stimulus channel output, see [[https:// | ||
| + | - 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 ''/ | ||
| + | |||
| + | |||
| + | **percent of error corrected trials is computed as trials scored 2/1+2. | ||
| + | |||
| + | |||
| + | - Analyze variables of interest [''/ | ||
| + | - | ||
| ===== EEG Data (EPrime) ===== | ===== EEG Data (EPrime) ===== | ||
| For [[: | For [[: | ||
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| {{tools: | {{tools: | ||
| - | ===== References: | + | === References: === |
| * Hallett, P. E. (1978). Primary and secondary saccades to goals defined by instructions. Vision research, 18(10), 1279-1296. | * Hallett, P. E. (1978). Primary and secondary saccades to goals defined by instructions. Vision research, 18(10), 1279-1296. | ||
| * Luna, B., Thulborn, K. R., Munoz, D. P., Merriam, E. P., Garver, K. E., Minshew, N. J., Keshavan, M. S., Genovese, C. R., Eddy, W. F., & Sweeney, J. A. (2001). Maturation of Widely Distributed Brain Function Subserves Cognitive Development. NeuroImage, 13(5), 786–793. | * Luna, B., Thulborn, K. R., Munoz, D. P., Merriam, E. P., Garver, K. E., Minshew, N. J., Keshavan, M. S., Genovese, C. R., Eddy, W. F., & Sweeney, J. A. (2001). Maturation of Widely Distributed Brain Function Subserves Cognitive Development. NeuroImage, 13(5), 786–793. | ||
| - | * | + | |