==== Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence ====

**Project Lead**: Shane McKeon
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**Project Start Date**: January 2023
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**Current Project Status**: Completed
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**Datasets**: [[grants:7t]]
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**Github Repository**: [[https://github.com/LabNeuroCogDevel/7T_EEG/blob/main/python/fooof/runFooof.py| FOOOF python code]] [[https://github.com/LabNeuroCogDevel/7T_EEG/tree/main/Rscripts/FOOOF | FOOOF R code]]
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**Publication DOI**: https://doi.org/10.1016/j.dcn.2024.101373
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**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).


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**Code Documentation** \\
  * Path to preprocessed resting state data 
  <code>'/Volumes/Hera/Projects/7TBrainMech/scripts/eeg/Shane/preprocessed_data/Resting_State/AfterWhole/ICAwholeClean_homogenize'</code>

  * Run runfooof.py using the following parameters
    * For compute_psd
      * <code>(method='welch', fmin=1, fmax=50, tmin=0, tmax=None, picks='all', n_fft=256, n_overlap=128, window='hamming')</code>

    * For FOOOF modeling 
      * <code> peak_width_limits=[0.5, 12], min_peak_height=0, peak_threshold=2, aperiodic_mode='fixed', max_n_peaks=4, verbose=False </code>

    * 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