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Published on: August 11, 2016
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.
Abstract:
Polymicrogyria (PMG) is a cortical malformation characterized by multiple small gyri and altered cortical lamination, which may be associated with disrupted white matter connectivity. However, little is known about the topological patterns of white matter networks in PMG. We examined structural connectivity and network topology using individual primary gyral pattern-based nodes in PMG patients, overcoming the limitations of an atlas-based approach. Structural networks were constructed from structural and diffusion magnetic resonance images in 25 typically developing and 14 PMG subjects. The connectivity analysis for different fiber groups divided based on gyral topology revealed severely reduced connectivity between neighboring primary gyri (short U-fibers) in PMG, which was highly correlated with the regional involvement and extent of abnormal gyral folding. The patients also showed significantly reduced connectivity between distant gyri (long association fibers) and between the two cortical hemispheres. In relation to these results, gyral node-based graph theoretical analysis revealed significantly altered topological organization of the network (lower clustering and higher modularity) and disrupted network hub architecture in cortical association areas involved in cognitive and language functions in PMG patients. Furthermore, the network segregation in PMG patients decreased with the extent of PMG and the degree of language impairment. Our approach provides the first detailed findings and interpretations on altered cortical network topology in PMG related to abnormal cortical structure and brain function, and shows the potential for an individualized method to characterize network properties and alterations in connections that are associated with malformations of cortical development.
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.

