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Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study
Designing studies that apply causal discovery requires navigating many researcher degrees of freedom.
Penalized model-based clustering of fMRI data
To this end, we propose a random covariance clustering model (RCCM) to concurrently cluster subjects based on their FC networks, estimate the unique FC networks of each subject, and to infer shared network features.
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