Graph Theoretical Analysis Reveals: Women’s Brains Are Better Connected than Men’s

@article{Szalkai2015GraphTA,
  title={Graph Theoretical Analysis Reveals: Women’s Brains Are Better Connected than Men’s},
  author={Bal{\'a}zs Szalkai and B{\'a}lint Varga and Vince Grolmusz},
  journal={PLoS ONE},
  year={2015},
  volume={10}
}
Deep graph-theoretic ideas in the context with the graph of the World Wide Web led to the definition of Google’s PageRank and the subsequent rise of the most popular search engine to date. Brain graphs, or connectomes, are being widely explored today. We believe that non-trivial graph theoretic concepts, similarly as it happened in the case of the World Wide Web, will lead to discoveries enlightening the structural and also the functional details of the animal and human brains. When scientists… 

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A surprising and unforeseen property of the Budapest Reference Connectome Server is recognized, and it is hypothesized that this movement of the slider in the webserver may copy the development of the connections in the human brain in the following sense: the connections that are present in all subjects are the oldest ones, and those that arepresent only in a decreasing fraction of the subjects are gradually the newer connections inThe individual brain development.

Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence

  • M. FellnerBálint VargaV. Grolmusz
  • Computer Science
    2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
  • 2019
The frequent neighbor sets of the most deeply investigated brain area, the hippocampus are identified by applying the Frequent Network Neighborhood mapping method, which may influence numerous psychological parameters, including intelligence-related ones.

The Frequent Network Neighborhood Mapping of the human hippocampus shows much more frequent neighbor sets in males than in females

The new method of the Frequent Network Neighborhood Mapping for the connectome, which serves as a robust identification of the neighborhoods of given vertices of special interest in the graph, is introduced and strong statistical asymmetries between the connectomes of the sexes are discovered.

Functional Geometry of Human Connectome and Robustness of Gender Differences

A systematic analysis of consensus networks of 100 female and 100 male subjects by varying the number of fibres launched reveals the functional geometry of the common F\&M-connectome, which is characterized by a complex architecture of simplexes to the 14th order, and highlights the functional gender-related differences.

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The braingraph.org Database with more than 1000 Robust Human Structural Connectomes in Five Resolutions.

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