Comments (7)
5d28a63 Stats & permutation interbrain connections
* averted_pre condition only
* with 300 permutations (Just to check how long does it take to execute with that permutations
from hyperscanning2-redesign.
Just ignore the above warning. It is now n_fftt = 1000, n_per_seg =1000
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e37c32b Get labels of significant connections
- Count how many significant connections
- Get labels of electrode pairs for which the connections are significant
- Sorted from the most common to least common (the highest number of connections - less one)
ToDo :- Get the actual score of PLV, ccor, or coh, if it is significant
- Get the index of that actual score, if it is significant
- Average actual score for PLV, ccor, or coh, out of all connections from all pairs
- Expand the code for statistical analysis to other eye conditions (pre/post). Now, it is only available for averted_pre (IMPORTANT git add EEG/analysis/statistical_analysis_inter-brain_connections.py )
- Adjust the variable names that are under Get labels of electrode pairs. Make it more meaningful and organized. So that it will be easy to read in the future (IMPORTANT git add EEG/analysis/statistical_analysis_inter-brain_connections.py )
from hyperscanning2-redesign.
d011adf Use this 1: Stats permutation for all eye conditions
Remove temporary code to count signifincat connections
from hyperscanning2-redesign.
- Get significant actual scores (save for each pair)
- Get significant indices of actual scores (save for each pair)
- NOTE : This is only for
averted_pre
(still in testing now), if it works, then we need to extend to the other eye conditions.
from hyperscanning2-redesign.
- Number of significant connections and number of actual score are not in line for ccor
- ccoh for actual score is not saved
The above issues have been solved here bb250cd, yet it is only for averted pre
- Need to expand to other eye conditions (considering pre/post)
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f9a8c61 ready to use for permutation of all eye conditions.
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Related Issues (20)
- Count average score of significant connections for each pair (combine all electrodes) HOT 2
- Mixed results HOT 1
- Notes : Running permutation in several screen of linux
- Process demographic data
- Function to calculate how many percentage of looking and not looking HOT 1
- Modules of eye tracker HOT 1
- Module of EEG HOT 9
- Module of Questionnaire HOT 2
- Viz-Remove x-axis and y-axis visualization of eye data
- Remove x-axis and y-axis visualization
- Viz-Add title of figure of plot
- Viz-Change no or info on legend of color bar HOT 1
- Viz-Capture the background for various eye conditions and put as overlay HOT 1
- Combine pre and post condition for visualization
- Create function to plot data of eye tracker into heatmap HOT 3
- Initialization of documentation using sphinx HOT 4
- Configuration of sphinx
- Documentation of phd_codes HOT 4
- Documentation of phd_codes HOT 2
- Correlational analysis between EEG connections and SPGQ score (After defense Revision) HOT 1
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