Skip to content

decolab/dagnino_awakening_coma

 
 

Repository files navigation

Re-awakening the Brain for Disorders of Consciousness (DoC)

Matlab implementation of the Leading Eigenvector Dynamics Analysis (LEiDA) framework and Whole-brain Hopf model

This repository contains the source code used in the study:

Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Sanz Perl, Y., Kringelbach, M. L., Laureys, S., & Deco, G. (2024). Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. PLoS Computational Biology, 20(5), e1011350. https://doi.org/10.1371/journal.pcbi.1011350

This study explores the probabilistic metastable substates (PMS) of different diagnostic caterogories of DoC (model-free) and how in silico perturbation of whole-brain Hopf models can drive transitions in patients with DoC (model-based).


Purpose & Scope

  • Model transitions between low- and high-consciousness brain states via in silico perturbations.
  • Simulate whole-brain activity derived from empirical fMRI and structural connectomes.
  • Assess perturbation outcomes across diagnostic categories (e.g., UWS, MCS).
  • Investigate the regional sensitivity to perturbation.

Repository Structure

  • hopf_simulations/: MATLAB scripts for simulating perturbation protocols.
  • leida/: MATLAB scripts for calculating the PMS.

Note: Original patient data are not included due to privacy. Use placeholder or simulated data to test scripts.


Requirements

  • MATLAB R2018a or later
  • resting-state fMRI and dMRI connectome matrices (preprocessed and in time series format)

Usage Instructions

  1. Clone the repository and add paths to MATLAB.

  2. Load the empirical connectome and fMRI baseline state.

  3. Run the LEiDA scripts.

  4. Run the whole-brain model scripts

  5. Analyze state transitions and the regions most sensitive to perturbation.


Data Sources

  • This work uses clinical neuroimaging data from patients with DoC.
  • All patient data were anonymized and handled in accordance with institutional ethics guidelines.

Citation

If you use this code, please cite:

Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Sanz Perl, Y., Kringelbach, M. L., Laureys, S., & Deco, G. (2024). Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. PLoS Computational Biology, 20(5): e1011350. https://doi.org/10.1371/journal.pcbi.1011350


License

This project is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Contact

For support or scientific questions, please contact the first author:

Paula Clara Dagnino
[email protected]
CNS Department, University Pompeu Fabra

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • MATLAB 100.0%