University:
Boston University
Course:
CAS CS 501 | Computer Science Practicum
Academic year:

2023
Views:

221

Pages:

15
Author:

Orluzzoz6kf

Exporting results (2) Right-click on a time trace. (1) Should be unchecked. Display options: waterfall Waterfall display of channels Visualize all HRFs: the Plot Probe feature (1) Back to zero (2) Check ‘Plot Probe’ Visualize all HRFs: the Plot Probe feature Show time markers Other useful Homer processing functions See ‘Motion artifacts’ lecture See ‘GLM and short separation regression’ lecture Group average: data structure Any directory that contains one or more files with the .nirs extension is considered by Homer2_UI to be a group, organized into sub-groups called sessions (or subjects). You can compute the HRF: SubjectName1_run01.nirs SubjectName1_run02.nirs ............. SubjectName1_runn1.nirs SubjectName2_run01.nirs SubjectName2_run02.nirs ............. SubjectName2_runn2.nirs ............. SubjectNamem_run01.nirs SubjectNamem_run02.nirs ............. SubjectNamem_runnm.nirs • at the run level • at the session (or subject) level • at the group level Data processed in Homer2_UI is saved automatically to disk: • Run data is saved in the corresponding .nirs file • Subject and group processing results are saved to groupResults.mat To go back to the state before any processing was done to the dataset, go to File > Reset File Group average: example File > Change directory to: \fNIRS_COURSE_2018\EXERCISES\Ex1_Basic_data_analysis\2-group-averaging Group average: example File > Load Process Options (*.cfg) Choose your processing stream *.cfg Group average: example Folder structure Group average: example (2) Click on the display to visualize signal (1) Choose a specific run (3) You can run the analysis at the run level, session level, or group level Group average: example Compute Run HRF Group average: example Compute Session (Subject) HRF Group average: example Compute Group HRF Group average: example Note: All subjects can also be in the same folder, provided they have the proper name nomenclature Group average: example We will get back to this dataset tomorrow and perform more advanced data analysis.