Literature DB >> 28988973

Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain.

Csaba Kerepesi1, Balázs Szalkai2, Bálint Varga3, Vince Grolmusz4.   

Abstract

The human braingraph, or connectome is a description of the connections of the brain: the nodes of the graph correspond to small areas of the gray matter, and two nodes are connected by an edge if a diffusion MRI-based workflow finds fibers between those brain areas. We have constructed 1015-vertex graphs from the diffusion MRI brain images of 392 human subjects and compared the individual graphs with respect to several different areas of the brain. The inter-individual variability of the graphs within different brain regions was discovered and described. We have found that the frontal and the limbic lobes are more conservative, while the edges in the temporal and occipital lobes are more diverse. Interestingly, a "hybrid" conservative and diverse distribution was found in the paracentral lobule and the fusiform gyrus. Smaller cortical areas were also evaluated: precentral gyri were found to be more conservative, and the postcentral and the superior temporal gyri to be very diverse. Similar studies concerning the human genome discovered more and less conservative sections of the DNA, opening up entirely new fields in genomics. We think that the present study is the first step in this direction in human connectomics. The clinical significance of the conservativity of a given cerebral area could be the higher sensitivity for traumas and developmental or neuro-degenerative events than the less conservative areas.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Connectome

Mesh:

Year:  2017        PMID: 28988973     DOI: 10.1016/j.neulet.2017.10.003

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  10 in total

1.  The frequent subgraphs of the connectome of the human brain.

Authors:  Máté Fellner; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2019-05-06       Impact factor: 5.082

2.  The braingraph.org database of high resolution structural connectomes and the brain graph tools.

Authors:  Csaba Kerepesi; Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2017-06-20       Impact factor: 5.082

3.  Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain.

Authors:  Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2018-10-06       Impact factor: 5.082

4.  The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain.

Authors:  Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

5.  Good neighbors, bad neighbors: the frequent network neighborhood mapping of the hippocampus enlightens several structural factors of the human intelligence on a 414-subject cohort.

Authors:  Máté Fellner; Bálint Varga; Vince Grolmusz
Journal:  Sci Rep       Date:  2020-07-20       Impact factor: 4.379

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

Authors:  Máté Fellner; Bálint Varga; Vince Grolmusz
Journal:  PLoS One       Date:  2020-01-28       Impact factor: 3.240

7.  The braingraph.org database with more than 1000 robust human connectomes in five resolutions.

Authors:  Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2021-03-12       Impact factor: 5.082

8.  Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph.

Authors:  László Keresztes; Evelin Szögi; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2021-07-15       Impact factor: 5.082

9.  Introducing and applying Newtonian blurring: an augmented dataset of 126,000 human connectomes at braingraph.org.

Authors:  László Keresztes; Evelin Szögi; Bálint Varga; Vince Grolmusz
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

10.  The Graph of Our Mind.

Authors:  Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Brain Sci       Date:  2021-03-08
  10 in total

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