A Bayesian method constructs credible hyperrectangles from posteriors to compare high-dimensional correlation matrices in brain connectivity analysis, with theoretical guarantees under the inverse-Wishart model.
Network-based statistic: Identifying differences in brain networks
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Bootstrapped multi-level analysis of functional connectivity data reveals reduced DMN connectivity, increased deactivation, and 13 significantly differing regions (mostly frontal) in schizophrenia versus controls.
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Credible rectangles for high-dimensional posterior comparison
A Bayesian method constructs credible hyperrectangles from posteriors to compare high-dimensional correlation matrices in brain connectivity analysis, with theoretical guarantees under the inverse-Wishart model.
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Diffuse and Localized Functional Dysconnectivity in Schizophrenia: a Bootstrapped Top-Down Approach
Bootstrapped multi-level analysis of functional connectivity data reveals reduced DMN connectivity, increased deactivation, and 13 significantly differing regions (mostly frontal) in schizophrenia versus controls.