Human Connectome Project
Cross-source consensus on Human Connectome Project from 1 sources and 4 claims.
1 sources · 4 claims
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Evidence quality
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Highlighted claims
- The application used 1065 HCP subjects and the 68-node Desikan-Killiany atlas. — A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
- The HCP behavioural associations are described as exploratory, small, and not externally validated. — A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
- The primary HCP structural fit used a Student-t likelihood because nonzero logit-scale weights were heavy-tailed. — A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
- For HCP, the Student-t model with five templates performed best across information criterion, topology prediction, and stability. — A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis