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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Discordant attributes of structural and functional brain connectivity in a two-layer multiplex network
Sol Lim1,2, Filippo Radicchi3, Martijn P van den Heuvel4,5
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47405, USA. cogscisol@gmail.com.
Structural connectivity (SC) in the brain is assortative, while functional connectivity (FC) is disassortative. These differing network organizations, particularly in the left hemisphere, may explain neurological dysfunction laterality.
Area of Science:
- Neuroscience
- Network Science
- Brain Imaging
Background:
- Functional connectivity (FC) and structural connectivity (SC) are known to be correlated.
- Limited research has explored the distinct network organizations of SC and FC and their interaction.
Purpose of the Study:
- To investigate the differences in network organization between SC and FC.
- To understand how these differences inform the mutual interaction between SC and FC.
- To explore the implications of these differences for brain function and dysfunction.
Main Methods:
- Utilized a multi-layer framework to construct a two-layer multiplex network of SC and FC.
- Employed Magnetic Resonance Imaging (MRI) data from the Human Connectome Project.
- Examined node strength assortativity within and between the SC and FC layers.
Main Results:
- SC generally exhibits assortative organization, connecting regions of similar node strengths.
- FC displays disassortative mixing, a pattern observed across individual resting-state networks.
- These patterns show lateralization, with FC disassortativity predominantly driven by the left hemisphere.
Conclusions:
- The discrepancy between SC assortativity and FC disassortativity highlights distinct network principles.
- Lateralized patterns of SC and FC associativity may offer insights into the laterality of neurological disorders.
- Understanding these network differences is crucial for comprehending brain function, dysfunction, and recovery.
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