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Docs » Merge 7T EEG

Merge 7T EEG

EEG summary statistics are most appropriately organized by rows of visit+channel, unlikely rows of solely visit in the more general wide-format merge7T. To avoid adding 64 columns per eeg measure and make pivoting a nightmare, 7TEEG exists in it's own longer format file:

/Volumes/Hera/Projects/7TBrainMech/scripts/eeg/merge7tEEG.csv

The code to combine all the files is along side the csv as merge7TEEG.R and also mirrored on github @ 7TBrainMech_scripts/eeg and includes a less detailed readme file.

Merge 7T EEG combines all EEG data from the 7T grant on a per channel level. Thus far it is incorporating the spectral event data, FOOOF data, and SNR. Those files can be found in the following locations within /Volumes/Hera/Projects/7TBrainMech/scripts/eeg/Shane/Results/

spectral events Spectral_Analysis/Spectral_events_analysis/GammaSpectralEvents_DelayandFix_channelLevel_merge7tEEG_20231110.csv
fooof FOOOF/allSubjectsAllChannelsFooofMeasures_20230911.csv
SNR SNR/allSubjectsSNR.csv

Information about each task

  • Spectral Events
    • Run on the delay and fixation epochs from the MGS task
    • Only delay has longitudinal
    • The trials are outlier detected for bad trials, based on 2 SDs, and then aggregated together for every channel. This is done in /Volumes/Hera/Projects/7TBrainMech/scripts/eeg/Shane/Rscripts/attic/DFforMerge_longSpectralEvents.R
    • The channel level data is then outlier detected in merge7TEEG.R for each subject using 2 SDs
    • See Spectral Event Pipeline
  • FOOOF
    • Run during resting state
    • Has a eyes open and eyes closed condition
    • FOOOF is computed on the trial averaged data so there is no outlier detection on the individual trials
    • The channels are outliter detected in merge7TEEG.R for each subject using 2 SDs
    • See FOOOF
  • SNR
    • Run during the auditory steady state task during the 40Hz condition
    • Matlab calculates all the SNR measures and creates an individual file for every subject
    • These files are taken into CombineSubjectDataframes.R which creates the SNR/allSubjectsSNR.csv that is fed into Merge7tEEG
    • Note: The data deals with averaged trials and therefore there is no outlier detection on the trial level
    • The channels are outliter detected in merge7TEEG.R for each subject using 2 SDs
    • See Signal to Noise Ratio (SNR)


Included Data

  • labels: channel labels
  • Channel information
    • theta, radius: cylindrical coordinates of the electrode
    • X, Y, Z: cartesian coordinates of the electrode
    • sph_theta, sph_phi, sph_radius: spherical coordinates of the electrode
    • ref: average, what the electrodes measures are references to. In this case, the average
    • Region: brain region percentages that correspond to the electrode
    • BA: corresponding brodmann area
  • SNR Measures
    • ERSP: Event Related Spectral Perturbation (i.e. evoked activity)
    • ITC: Intertrial Coherence (reflects the temporal and spatial synchronization)
    • Baseline Power: the power of the baseline period
    • Induced: induced or spontaneous activity
  • Spectral Event Measures
    • Gamma_Trial_Power_Delay, Gamma_Trial_Power_Fix: the average trial power for the gamma band in the delay or fixation epoch
    • Gamma_Event_Number_Delay, Gamma_Event_Number_Fix: the average number of events in the gamma band in the delay or fixation epoch
    • Gamma_Event_Duration_Delay, Gamma_Event_Duration_Fix: the average duration of events in the gamma band in the delay or fixation epoch
    • Gamma_Trial_Power_sd_Delay, Gamma_Trial_Power_sd_Fix: trial variability for trial power for the gamma band in the delay or fixation epoch
    • Gamma_Event_Number_sd_Delay, Gamma_Event_Number_sd_Fix: trial variability for number of events in the gamma band in the delay or fixation epoch
    • Gamma_Event_Duration_sd_Delay, Gamma_Event_Duration_sd_Fix: trial variability duration of events in the gamma band in the delay or fixation epoch
  • FOOOF Mesures
    • Offset_eyesClosed: aperiodic offset during the eyes closed condition
    • Offset_eyesOpen: aperiodic offset during the eyes open condition
    • Exponent_eyesClosed: aperiodic exponent during the eyes closed condition
    • Exponent_eyesOpen: aperiodic exponent during the eyes open condition
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