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Updated: May 23, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

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

Published on: August 5, 2014

Constrained source-based morphometry identifies structural networks associated with default mode network.

Li Luo1, Lai Xu, Rex Jung

  • 1The Mind Research Network, Albuquerque, New Mexico 87106, USA.

Brain Connectivity
|April 4, 2012
PubMed
Summary
This summary is machine-generated.

We identified a brain-wide structural network underlying the default mode network (DMN) using constrained source-based morphometry. This method reveals gray and white matter connections supporting DMN function, with observed gender differences in IQ relationships.

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Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Computational Neuroscience

Background:

  • The default mode network (DMN) is crucial for internally directed thought.
  • Understanding the structural underpinnings of the DMN is essential for comprehending brain function.
  • Existing methods may not fully capture the integrated gray and white matter networks associated with the DMN.

Purpose of the Study:

  • To introduce and validate a novel constrained source-based morphometry (SBM) approach.
  • To identify a comprehensive brain-wide structural network (gray and white matter) associated with the functional DMN.
  • To explore potential gender differences in the relationship between intelligence quotient (IQ) and the identified structural network.

Main Methods:

  • Constrained source-based morphometry (SBM) was developed as a multivariate, semiblind, data-driven approach.
  • Seed regions of the DMN were used to constrain gray matter (GM) maps, deriving a joint GM and white matter (WM) structural network.
  • The approach was validated via simulation and applied to structural MRI and diffusion tensor imaging data from 102 healthy controls.

Main Results:

  • A distinct structural network comprising specific GM and WM regions underlying the functional DMN was identified.
  • Key GM regions included the precuneus, frontal and temporal gyri, hippocampus, cuneus, and cerebellum.
  • Associated WM regions included the cingulum, corpus callosum, corona radiata, association fibers, and middle cerebellar peduncle.
  • Significant gender differences were found in the association between IQ and the identified structural network.

Conclusions:

  • The functional DMN is supported by an integrated brain-wide structural network of gray and white matter.
  • Constrained SBM is a powerful tool for identifying structural networks from seed regions, applicable to various neuroimaging research questions.
  • The findings provide novel insights into the structural basis of the DMN and its relationship with cognitive abilities.