Skip to content

CNG-LAB/intraindividual_gradients

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

70 Commits
 
 
 
 
 
 

Repository files navigation

Intra-individual variability in functional brain organization

This is the repository for the publication:

Bianca Serio, Deniz Yilmaz, Laura Pritschet, Hannah Grotzinger, Emily G. Jacobs, Simon B. Eickhoff, & Sofie L. Valk (2025). Exploring neuroendocrine influences on the sensorimotor-association axis in a female and male individual. Imaging Neuroscience. https://doi.org/10.1162/imag_a_00474.

Preprint version available here.

Scripts

1. Main analyses

  • main.ipynb computes and visualizes main analyses
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_He_AM.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Male testosterone cortisol)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_He_AM_estr_test.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Male estrogen testosterone)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_He_AM_stress.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Male stress)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female estrogen progesterone)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me_estr_test.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female estrogen testosterone)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me_stress.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female stress)

2. Supplementary analyses

  • p28Me_spin_permutation_lmer_within_between_network_dispersion_He_suppl_test_cort_pss.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Male testosterone cortisol stress)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me_estr_test_suppl_15.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female estrogen testosterone n=15)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me_stress_suppl_20.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female stress n=20)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me_suppl_20.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female estrogen progresterone n=20)
  • p28Me_spin_permutation_lmer_within_between_network_dispersion_Me_suppl_estr_prog_pss.py spin permutation test to construct empirical null distribution of beta values for within and between network dispersion analyses (Female estrogen progresterone stress)
  • p28_suppl_VAR.R Estimate first- and second-order vector autoregressive (VAR) models of S-A axis loadings vs estradiol using parallel processing
  • ´permTestEdgeVAR.R´ Temporal permutation testing for edgewise VAR models
  • ´p28_suppl_power.R´ Power analysis

3. Functions

  • p28Me_myfunctions.ipynb contains functions used for main analyses

Data

  • Open-access 28&Me sample (Pritschet et al., 2020), available on OpenNeuro.
  • Open-access the 28&He sample (Grotzinger et al., 2024), available on OpenNeuro.

Support

Please address any questions about the analyses or code to Bianca Serio


Research poster presented at:

  • Annual Meeting of the Organization for Human Brain Mapping (OHBM), Seoul 2024

Please see Imaging Neuroscience publication for updated results

image

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.7%
  • Other 0.3%