Pages that link to "Item:Q1992057"
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The following pages link to Model-based estimation of dynamic functional connectivity in resting-state functional magnetic resonance imaging (Q1992057):
Displaying 14 items.
- Searching multiregression dynamic models of resting-state fMRI networks using integer programming (Q273610) (← links)
- A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments (Q641064) (← links)
- Analysis of fMRI data using noise-diffusion network models: a new covariance-coding perspective (Q1799449) (← links)
- Functional random effects modeling of brain shape and connectivity (Q2080727) (← links)
- Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data (Q2189618) (← links)
- Model-based functional neuroimaging using dynamic neural fields: an integrative cognitive neuroscience approach (Q2407657) (← links)
- Estimation of baseline drifts in fMRI (Q2779971) (← links)
- Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI (Q3386440) (← links)
- A Spatio‐Temporal Model for Functional Magnetic Resonance Imaging Data – with a View to Resting State Networks (Q3505353) (← links)
- A SYSTEMATIC REVIEW OF SIMULATION PROCEDURES FOR fMRI CONNECTIVITY STUDIES (Q5229436) (← links)
- Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI (Q6073452) (← links)
- Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation (Q6115549) (← links)
- Detecting changes in correlation networks with application to functional connectivity of fMRI data (Q6175696) (← links)
- Modified models and simulations for estimating dynamic functional connectivity in resting state functional magnetic resonance imaging (Q6627381) (← links)
