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Updated: May 9, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic

Xin Di1, Bharat B Biswal1

  • 1Department of Radiology, UMDNJ-New Jersey Medical School, Newark, NJ, USA.

Neuroimage
|August 10, 2013
PubMed
Summary

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The default mode network (DMN) shows higher activity at rest. Dynamic causal modeling revealed information flow from MPFC to PCC and IPL to PCC/MPFC, with greater right-hemisphere connectivity.

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • The default mode network (DMN) is a key brain system active during rest.
  • DMN regions are highly interconnected, but causal information flow remains unclear.
  • Resting-state fMRI and white matter tracing show DMN connectivity.

Purpose of the Study:

  • To elucidate the causal information flow within the default mode network.
  • To identify the underlying network structure of the DMN using dynamic causal modeling.
  • To validate the application of DCM on resting-state fMRI data.

Main Methods:

  • Utilized dynamic causal modeling (DCM) on resting-state fMRI data.
  • Modeled endogenous brain fluctuations using Fourier series (0.01-0.08Hz) as driving inputs.
Keywords:
BMSBayesian Model SelectionDCMDMNDefault Mode NetworkDefault-mode networkDynamic Causal ModelDynamic causal modelFDRFalse Discovery RateFourier seriesGCAGLMGeneral Linear ModelGranger Causality AnalysisICAIPLIndependent Component AnalysisInferior Parietal LobuleLFFLow-frequency FluctuationLow-frequency fluctuationMNIMPFCMedial Prefrontal CortexMontreal Neurological InstitutePCCPosterior Cingulate CortexROIRegion of InterestResting-stateSEMStructure Equation ModelfMRIfunctional Magnetic Resonance Imaging

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Related Experiment Videos

Last Updated: May 9, 2026

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12:09

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Published on: August 5, 2014

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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  • Employed model comparison to determine the most likely DMN network structure.

    • Main Results:

    • A specific DCM model was favored, indicating information flow from the medial prefrontal cortex (MPFC) to the posterior cingulate cortex (PCC).
    • The bilateral inferior parietal lobule (IPL) was found to send information to both the PCC and MPFC.
    • Endogenous connectivity demonstrated potentially higher strength in the right hemisphere compared to the left.

    Conclusions:

    • The study provides insights into the functional roles of individual DMN nodes.
    • The findings clarify causal information flow within the DMN.
    • The results support the utility of DCM for analyzing resting-state fMRI data.