Pages that link to "Item:Q512396"
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The following pages link to Investigating differences in brain functional networks using hierarchical covariate-adjusted independent component analysis (Q512396):
Displaying 11 items.
- EEG-based functional brain networks: hemispheric differences in males and females (Q258479) (← links)
- Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data (Q2116962) (← links)
- Identifying functional co‐activation patterns in neuroimaging studies via poisson graphical models (Q3465358) (← links)
- Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors (Q5120655) (← links)
- Linear Non-Gaussian Component Analysis Via Maximum Likelihood (Q5229915) (← links)
- A Hierarchical Model for Probabilistic Independent Component Analysis of Multi‐Subject fMRI Studies (Q5408017) (← links)
- Brain connectivity alteration detection via matrix‐variate differential network model (Q6055497) (← links)
- Multi‐subject stochastic blockmodels with mixed effects for adaptive analysis of individual differences in human brain network cluster structure (Q6067695) (← links)
- Distributional independent component analysis for diverse neuroimaging modalities (Q6079591) (← links)
- Rejoinder to discussions of “distributional independent component analysis for diverse neuroimaging modalities” (Q6079599) (← links)
- LOCUS: a regularized blind source separation method with low-rank structure for investigating brain connectivity (Q6104114) (← links)
