EEG data analysis in Zhang Lab (Updated on 10/02/2014)

Data analysis with ASA program

Exercise 1: ERP averaging on an individual subject

Software: ASA4.7

1. Install ASA4.7.
2. Download dataset and save it to c:\EEGanalysis\slhs8530 and unzip the dataset. There should be at least three files .cnt, .sen, .trg
3. Open the .cnt file using ASA4.7 (datatye: eeprobe)
4. Read data: electrode position file
5. Read head model: standard head model
6. Define conditions for averaging
7. Do artefact rejection.
8. Do filtering
9. Do baseline correction
10. Do averaging
11. Save ASA analysis
12. Export the ERP data to ASCII text for further analysis
13. ERP component extraction and analysis
14. Data plotting and reporting

Note: The ERP averaging analysis can be automated using a script.
Download analysis script, analyze the steps in text editor, and run the script.

Exercise 2: ERP analysis for a group of subjects

1. Dataset: copy folders A B C D E in C:\Program Files\ASA4\Data\Case Studies\300 P300 Experiment to c:\EEGanalysis\slhs8530\P300
2. Write the script for doing individual ERP data analysis following example in Exercise 1.
3. Extract P300 for each individual subject
4. Perform grand average
5. Export grand average data to ASCII text
6. Plot the grand average P300 for one representative electrode using MS Excel.

Note: The ERP averaging analysis can be automated using scripts.
Download sample analysis script, and do the analysis for all subjects.

Exercise 3: ERP source localization

1. Dataset:
2. Unzip the file, and use text editor such as Notepad to open the .vbs script file. Make sure you understand the steps and move the .cnt, .sen, .trg to the correct folder.
3. Start ASA software and double click the .vbs script.
4. Examine the results for each step of analysis.
5. Right click on the results window to adjust parameters in the property option menus.
6. Export the graphic results.
7. Export the numerical results.

Exercise 4: ERP topography and time-frequency analysis

1. Use dataset in Exercise 1 and do topography for P1, N1, P2 components.
2. Perform time-frequency analysis to determine brain oscillation patterns for this data set.
3. Export graphical results for powerpoint presentation or publication.

ASA screen shots from ANT

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