Beauchamp:RAVE:Older Method

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Beauchamp Lab



R Analysis and Visualization of ECOG Data (RAVE)

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[Deprecated] Older method for formatting data for RAVE

  1. Assume you have pre-processed your subject and have 1 mat file per electrode
    • Pre-processing pipeline in our data includes common average reference, epoching, notch filtering, time-frequency analysis using 'multitaper method' (dpss for 30-200 Hz, hanning for 2-30 Hz), resulting in power-spectra over time at each frequency
    • Each mat file contains a matrix with: [trial, freq, time]
    • these mat files are the output of matlab script 'write_out_electrodes.m'
      • note that since preprocessing at low and high frequencies is performed using different tapers, the 'write_out_electrodes.m' script must concatenate 2-30 Hz with 32-200 Hz data prior to creating mat files
  2. Also need information about each dimension in meta folder
    • 'trials.csv:' data corresponds to the 1st mode in the .mat file.
      • Column 1: Number (numeric) -- cell A1 is 'Number', A2 reads '1', A3 reads '2', ... , An reads 'n'
      • Column 2: Type (string) -- cell B1 reads 'Type', then data begins in B2
      • Column 3: Stimulus (string) -- cell C1 reads 'Stimulus', then data begins in C2
      • Other columns will be imported as a string and made available to the module
      • Note in GUI, conditions will appear as 'Stimulus_Type'
    • 'frequencies.csv:' has the frequencies that correspond to the 2nd mode in the .mat file
      • Column 1: Frequency (numeric) -- cell A1 reads 'Frequency', then data begins in A2
    • 'time_points.csv:' has the timestamps that correspond to the 3rd mode in the .mat file
      • Column 1: Time (numeric) -- cell A1 reads 'Time'
        • By default, many modules consider values prior to time '0' as the baseline period. In many modules this can also be changed.
    • 'electrodes.csv:' Contains information corresponding to each electrode. this corresponds to the 4th mode of the data, but this is not directly represented in users' the file system.
      • Column 1: Label (string) (this is used throughout the application as a unique identifier)
      • Column 2: Number (integer)
        • This value is not explicitly used in the module, but is required here to facilitate matching with the raw data.
      • Column 3: Valid (0 or 1)
        • If the value is 0, the electrode is not imported or cached, or even checked for existence in the data/ directory. We allow for invalid electrodes to provide a way to match between the raw data files coming from the recording system and the final data that will be analyzed.
      • Column 4-6: Coordinates for the electrode in the space of the surface file
        • Coord_x (numeric)
        • Coord_y (numeric)
        • Coord_z (numeric)
  3. Create a folder in your data directory (you will tell the application where your data are located, so this location can be arbitrary).
data/
subject_name/
ecog/
e1.mat
...
eN.mat
meta/
trials.csv
frequencies.csv
time_points.csv
electrodes.csv
suma/