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DCM Psilocybin Analysis

License: CC BY 4.0

Dynamic Causal Modeling (DCM) analysis of psilocybin effects on brain connectivity using Parametric Empirical Bayes (PEB), with behavioral covariate associations.

Quick Start

git clone https://github.com/adammanoogian/dcm_psilocybin.git
cd dcm_psilocybin

# Set up environment (pick one)
conda env create -f environment.yml && conda activate dcm_psilocybin
# or: python -m venv venv && source venv/bin/activate && pip install -r requirements.txt

# Run the analysis pipeline
python scripts/analysis/00_run_full_pipeline.py          # full pipeline
python scripts/analysis/00_run_full_pipeline.py --paper   # publication figures only
python scripts/analysis/00_run_full_pipeline.py --overview # show pipeline stages

Citation

@software{manoogian2024dcm,
  author = {Manoogian, Adam},
  title = {DCM Psilocybin Analysis},
  year = {2024},
  url = {https://github.com/adammanoogian/dcm_psilocybin}
}

License

This project is licensed under the Creative Commons Attribution 4.0 International License.

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Dynamic Causal Modeling (DCM) analysis of psilocybin effects on brain connectivity using Parametric Empirical Bayes (PEB), with behavioral covariate associations.

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