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File Name Key

Please update the keys as you create new abbreviations.

AA_017_preQR_ICA_Af.set

  Study Code            Subject Number                           Condition                      Analysis Performed    Stimulus Type    Extention

Study Code

Each study has its own study code consisting of two letters. Every file name will contain a study number.

 

KEY:

AA: Dr. Thom's Dissertation Experiment 1

AB: Dr. Thom's Dissertation Experiment 2

AC:

AD:

ZZ: Miscellaneous Tests

Subject Number

Each participant gets their own three digit number. Every file name will contain a subject number.

When data is recorded, it is saved with the study number, subject number, and condition (if there is a condition). For example: 003_015.mff or 004_003_postQR.mff

Condition

For example, in the Dissertation Experiment 2 dataset, each participant was tested before quiet rest (preQR), after quiet rest (postQR), before exercise (preEX), and after exercise (postEX). A study may not have multiple conditions. If it doesn't, then the file name just wouldn't have a dime or condition indicator, for example: "001_011_ICA.set"

 

KEY:

preQR: Before Quiet Rest

postQR: After Quiet Rest

preEX: Before Exercise

postEX: After Exercise

Analysis Performed

Each script you run a datast through should add a short tag to the file name when the file is saved. This way, if a file is misplaced, you know what has been done to the file. You don't need to add a tag for every single step, just every script.

 

For example, if my first analysis script deletes bad channels, filters the data, and runs ICA, I'll have it add "_ICA" when it saves each file. So after this step, the file name is "001_009_postEX_ICA.set." My second step would be deleting bad components by hand and saving the file by hand, so I'd save it as "002_009_postEX_ICA_CR.set."

 

KEY:

_ICA : ICA has been run

_CR : Bad components have been rejected

Stimulus Type

When you sort the data into files by stimulus type, label the file with the stimulus type abbreviation.

 

KEY:

A: angry scenes

Af: angry faces

N: neutral scenes

Nf: neutral faces

F: fearful scenes

Ff: fearful faces

J: joyful scenes

Jf: joyful faces

ple: pleasant stimuli

unp: unpleasant stimuli

Extention

.mff - Net station default file type

.raw - raw. (able to be opened in EEGLAB)

.set - EEGLAB dataset. Corresponds to .raw file.

.fdt - EEGLAB dataset. Corresponds to .set file.

.mat - Matlab matrix. FieldTrip data is saved as .mat

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