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Differences in topological brain organization in BPD
- In BPD subjects, there was an increased size of largest connected component (LCC).
- Increased size of LCC indicates a lower number of disconnected nodes in a functional network.
- In BPD subjects, there was increased small-worldness, clustering coefficients, and local efficiency.
- Small-world systems have the ability for specialized processing to occur within densely interconnected groups of brain regions and also has the ability to combine specialized information from distributed brain regions.
- Clustering coefficients are defined as the ratio of the number of existing links and the number of all possible links between the direct neighbors of the node.
- Local efficiency measures how efficiently information is exchanged over the network.
- Increased clustering coefficients and local efficiency indicates greater network "cliquishness" (i.e., more clustered structure).
- Increased cliquishness seen in limbic and paralimbic brain regions, including the amygdala.
- Could explain vulnerability to the fast and extreme reaction to a negative stimulus, the emotion being difficult to regulate.
- Increased cliquishness seen in limbic and paralimbic brain regions, including the amygdala.
- BPD subjects suggest long-distance functional connections between regions associated with self-referential processes.
- BPD subjects might also cause an increase in the number of connections to non-hub nodes and a decrease in the number of connections to hub nodes in functional brain networks.
- An example of a hub node is the posterior cingulate cortex (PCC), acting as a literal hub that contributes connections to other networks.
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Updated 2021-11-07
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Behavioral Neuroscience
Psychology
Neuroscience (Neurobiology)
Social Science
Empirical Science
Science
Life Science / Biology
Biomedical Sciences