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Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia

https://doi.org/10.3389/fnins.2019.01006

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Time–frequency dynamics of resting-state brain connectivity measured with fMRI

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Dynamic connectivity regression: Determining state-related changes in brain connectivity

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Dynamic functional connectivity: Promise, issues, and interpretations

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Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis

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Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics

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Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis

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2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups

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2006 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006)

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Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis

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Aberrant “Default Mode” Functional Connectivity in Schizophrenia

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Bridging disparate symptoms of schizophrenia: a triple network dysfunction theory

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls

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Dynamic Functional Connectivity in Schizophrenia: A Comprehensive Analysis

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