Altered white matter connectivity and network organization in polymicrogyria revealed by individual gyral

Kiho Im1, Michael J Paldino2, Annapurna Poduri3

  • 1Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.

Neuroimage
|August 20, 2013
PubMed

Insights

Polymicrogyria (PMG) is a brain malformation with altered connectivity. This study reveals disrupted white matter networks in PMG patients, impacting cognitive and language functions.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Medical Imaging

Background:

  • Polymicrogyria (PMG) is a cortical malformation with poorly understood white matter network topology.
  • Altered cortical lamination in PMG may disrupt brain connectivity.

Purpose of the Study:

  • To investigate structural connectivity and network topology in polymicrogyria using an individualized approach.
  • To characterize alterations in white matter networks and their relationship to cognitive and language functions in PMG.

Main Methods:

  • Constructed structural brain networks from MRI and diffusion MRI data in 14 PMG patients and 25 controls.
  • Utilized primary gyral pattern-based nodes for network analysis, overcoming atlas-based limitations.
  • Applied graph theoretical analysis to assess network topology and hub architecture.

Main Results:

  • PMG patients exhibited significantly reduced connectivity of short U-fibers and long association fibers.
  • Network topology showed altered organization, including lower clustering and higher modularity.
  • Disrupted network hubs in association areas correlated with cognitive and language impairments and PMG severity.

Conclusions:

  • This study provides the first detailed insights into altered cortical network topology in PMG.
  • Individualized network analysis reveals connections between PMG, structural abnormalities, and functional deficits.
  • Findings highlight the potential of personalized network characterization for malformations of cortical development.

Related Concept Videos