Project Lead: Shane McKeon
Project Start Date: January 2023
Current Project Status: Completed
Datasets: Brain Mechanisms R01 (7T)
Github Repository: FOOOF python code FOOOF R code
Publication DOI: https://doi.org/10.1016/j.dcn.2024.101373
Conference Presentations
S. McKeon, M. Perica, A. Parr, F. Calabro, W. Foran, H. Hetherington, C. Moon, B. Luna. Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence. Developmental Affective Neuroscience Symposium, Pittsburgh, Pennsylvania. November 2023. (Graduate Poster/Abstract).

S. McKeon, M. Perica, A. Parr, F. Calabro, W. Foran, H. Hetherington, C. Moon, B. Luna. Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence. Society for Psychophysiological Research, New Orleans, Louisiana. September 2023. (Graduate Poster/Abstract).

S. McKeon, M. Perica, A. Parr, F. Calabro, W. Foran, H. Hetherington, C. Moon, B. Luna. Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence. Flux Society, Santa Rosa, California. September 2023. (Graduate Poster/Abstract).

Code Documentation

• Path to preprocessed resting state data

'/Volumes/Hera/Projects/7TBrainMech/scripts/eeg/Shane/preprocessed_data/Resting_State/AfterWhole/ICAwholeClean_homogenize'

• Run runfooof.py using the following parameters
  • For compute_psd

    • (method='welch', fmin=1, fmax=50, tmin=0, tmax=None, picks='all', n_fft=256, n_overlap=128, window='hamming')

• For FOOOF modeling

  •  peak_width_limits=[0.5, 12], min_peak_height=0, peak_threshold=2, aperiodic_mode='fixed', max_n_peaks=4, verbose=False 

• Frequency range to fit: [1,50]

• The python code will extract the aperiodic measures and save out a csv file for R. These values are then loaded into the merge7t.csv dataframe by Will Foran

• Begin with CreateFOOOFdataframes.R in the FOOOF R Code github repository
  • This will extract the necessary MRSI, FOOOF, and behavioral measures from the large merge7t dataframe
• Run fooofAnalysis.R to analyze the age-related changes in the aperiodic measures
• Run MRSIanalysis.R to analyze the age-related changes in the MRSI measures
• Run behaviorAnalysis.R to assess the age-related changes in the MGS and Spatial Span task
• Run MRSvsFOOOF.R to assess the associations between the MRS mesures and the FOOOF measures
• Run BrainBehav.R to assess the MRSI and FOOOF measures against the behavioral measures

• The FOOOFMRSPaper.Rmd file will output all the figures seen in the paper