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Official Repository of the Kurkela & Ritchey (submitted). Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall. Preprint available on bioRxiv.

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memobc/paper-CamCanIDs

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Memolab’s CamCan Individual Differences Project

Scripts Overview

Below is a table of scripts contained in this repository alongside a short written description. The scripts or organized in the order in which they were intended to be run. This is because some scripts, for example, depend on the output of previous scripts.

Script Type Description Key Output
0_tidy.R R Creates a tidyverse compatible data frame from available data from the raw CamCan data and from MRIQC outputs data.rds, motion.rds
1_subject_numbers.Rmd R markdown Illustrates subject numbers based on various selection criteria.
1_inclusion_criteria.Rmd R markdown Alternative to previous script, this time using a parameterized report format.
1_subjects_to_prep.R R Based on a selection of inclusion criteria, writes out a text file with a list of CamCan subject IDs to preprocess in fmriprep subjects_to_prep.txt
2_fix_bids.R R Script that fixes the formatting of the raw BIDS data to comply with BIDS formatting
2_fix_fmaps.R R Script that fixes the formatting of the fieldmaps to comply with BIDS formatting
A_write_conditions.m MATLAB Script for writing out conditions text file for use by the conn toolbox conditions.csv
A_write_covariates.m MATLAB Script for writing out covariates text files for use by the conn toolbox sub-###_task-TASK_standard_motion.txt
B_conn.m MATLAB Script for running conn toolbox on preprocessed fMRI data.
C_tidy_conn.m MATLAB script for importing scan run specific connectivity matrices into a tidy format ConnTbl.mat
D_tidy.m MATLAB Script for further tidying connectivity data. Calculates within, between, extra, and hipp means. PredictTbl.mat, PredictTbl.csv
E_bayesModels.R R Script for running Bayesian regression models to test hy hypotheses of interest
E_linearModels.Rmd.m R Script for further tidying connectivity data. Calculates within, between, extra, and hipp means.
F_cbpm.m MATLAB Script for running the CBPM analysis analysis-cbpm_outcome-%s_connections-%s_connectome-%s_thresh-%.03f_partialCor-%s.csv; .mat
F_cbpm.slurm bash Script for submitting a CBPM analysis to the SLURM batch queuing system
F_cbpm_nullsim.m MATLAB Script for running a single null simulation for a CBPM analysis analysis-cbpm_outcome-%s_connections-%s_connectome-%s_thresh-%.03f_partialCor-%s_nullsim-%04d.mat
F_cbpm_nullsim.slurm bash Script for running a CBPM analysis null simulation using the SLURM batch queing system.
F_cbpm_nullsim_jobarray.slurm bash Script for running a CBPM analysis null simulation using the SLURM batch queing system using a job array.
F_corr_with_behav.m MATLAB Script that correlates the strength of every connection with memory ability. networks.txt, total.txt, pos.txt, neg.txt, diff.txt, count.txt, thesholded_mat.txt, downsampled_corr_with_behav_mat.txt
F_delayed_submit.sh bash Script for submitting CBPM analysis jobs to the SLURM batch queuing system. Designed to pause breifly to avoid MATLAB parallel computing bug.
F_howsimilar.R R How similar are the functional connectomes calculated using the movie-watching, resting-staate, and sensorimotor tasks? restmovie.csv, restsmt.csv, moviesmt.csv
F_null_sim.m MATLAB Function for performing a single CBPM null simulation. cbpm_memoryability_randperms_%04d.mat
F_predict_behavior.m MATLAB MATLAB script for running hypothsized linear regressions. Prints the results directly to the MATLAB console.
F_visualize.m MATLAB MATLAB script for visualizing the functional connectome. Calculates the grand mean connectome and connection variability. downsampled_grand_connectome.txt, gradmean_networks.txt
G_CreateFigure2.R R Creates Figure 2 from the manuscript. Figure2.png
G_CreateFigure3.R R Creates Figure 3 from the manuscript. Figure3.png
G_CreateFigureS1.R R Creates Figure S1 from the manuscript. FigureS1.png
G_CreateFigureS23.R R Creates Figure S2 and Figure S3 from the manuscript. FigureS2.png, FigureS3.png
G_CreateFigureS4.R R Creates Figure S4 from the manuscript. FigureS4.png
G_CreateFigureS5.R R Creates Figure S5 from the manuscript. FigureS5.png
G_Table1.R R Creates Table 1 from the manuscript. Note: further formatting by hand performed prior to publication. Table1.docx
G_Table2.R R Creates Table 2 from the manuscript. Note: further formatting by hand performed prior to publication. Table2.docx
G_CreateTableS5.R R Creates Table S5 from the manuscript. TableS5.docx

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Official Repository of the Kurkela & Ritchey (submitted). Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall. Preprint available on bioRxiv.

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