Project Lead: Shane McKeon
Project Start Date: September 2019
Current Project Status: Completed
Datasets: LNCD 7T
Github Repository: Spectral Event Functions
Publication DOI: https://doi.org/10.1016/j.neuroimage.2023.120112
Conference Presentations
S. McKeon, F. Calabro, B. Luna. Maturational changes in EEG-derived spectral bursts through adolescence during working memory maintenance. CuttingEEG, Virtual Conference. October 2020. (Graduate poster/ abstract).

S. McKeon, F. Calabro, B. Luna. EEG-derived spectral processing and the development of working memory through adolescence. Flux Society, Virtual Conference. September 2020. (Graduate poster/ abstract)

Code Documentation

• RunSpectralEvents_IndividualChannels.m
  • Set desired task (Resting_State, MGS, SNR)
  • Set epoch (Delay or Fix; only is running resting state)
  • Set seconds; only if running delay epoch
  • Set band to analyze (gamma, beta, theta, alpha)
  • Pull subjects from the preprocessed folder
  • Calls createXmatrix_individualChannels.m that organizes the data in the correct format that the spectral event code expects
  • Creates an array of values corresponding to the trigger values, called classLabels
  • Defines event band and frequency values based on which band you're running
  • Runs the spectral event toolbox, see Spectral Event Toolbox
  • Saves out large structs of the subjects spectral event data

• SpectralEvents_Struct_Extraction.m
  • Initialize task, epoch, and band
  • Load in the structs
  • Extracts out the Event Number, Power, Duration, Max Power, and Max Frequency and generates the average of each
  • Crates a large table with all the subjects data

• Run SpectralEvents_Analysis.R
  • Assesses all the age relations with the spectral event measures and associations with behavioral measures

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