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This guide provides a clear and supportive approach to completing the FEAT Analysis of Rodent Data document online. By following these detailed steps, you will effectively navigate each section to ensure your analysis is thorough and accurate.

Follow the steps to successfully complete your FEAT Analysis of Rodent Data.

1. Press the ‘Get Form’ button to access the document and open it in your online editor.
2. Begin by collecting your data. Confirm that your data is transferred to the central filesystem if it was not done automatically. This can be done using a USB drive or via an FTP transfer.
3. Login to the thin client. Open a terminal window and the main FSL window to initiate the analysis.
4. In the terminal window, merge your data volumes into a single 4D hypervolume using the command with fslmerge, then close the terminal window.
5. Inspect the hypervolume using FSLVIEW to ensure accuracy and check for any potential errors.
6. Proceed to skull stripping using BET. Select the input image, apply necessary settings and run the process to extract the relevant brain data.
7. Click the FEAT button from the main menu. In the ‘Data’ tab, select your merged 4D data and set your output directory. Adjust parameters regarding data volume and filter settings as appropriate.
8. In the ‘Misc’ tab, disable any unnecessary features you do not wish to use while running the analysis.
9. Navigate to the ‘Pre-stats’ tab and modify preprocessing settings as necessary, including spatial smoothing and high-pass filtering options.
10. In the ‘Stats’ tab, ensure to set your model correctly by inputting the number of stimuli and their corresponding parameters.
11. Finalize your setup by checking the ‘Post-stats’ and ‘Registration’ tabs. Adjust settings while ensuring you are not overwriting previous parameters.
12. Save your parameter settings to ensure they can be reused later, and then execute the analysis by clicking the ‘Go’ button.
13. After the execution, you can access the results by navigating to the generated FEAT folder and utilizing FSLview in FEATquery mode for further analysis.

Begin completing the FEAT Analysis of Rodent Data online today for thorough documentation!