Literature DB >> 29496609

The dorsal striatum and the dynamics of the consensus connectomes in the frontal lobe of the human brain.

Csaba Kerepesi1, Bálint Varga2, Balázs Szalkai3, Vince Grolmusz4.   

Abstract

In the applications of the graph theory, it is unusual that one considers numerous, pairwise different graphs on the very same set of vertices. In the case of human braingraphs or connectomes, however, this is the standard situation: the nodes correspond to anatomically identified cerebral regions, and two vertices are connected by an edge if a diffusion MRI-based workflow identifies a fiber of axons, running between the two regions, corresponding to the two vertices. Therefore, if we examine the braingraphs of n subjects, then we have n graphs on the very same, anatomically identified vertex set. It is a natural idea to describe the k-frequently appearing edges in these graphs: the edges that are present between the same two vertices in at least k out of the n graphs. Based on the NIH-funded large Human Connectome Project's public data release, we have reported the construction of the Budapest Reference Connectome Server http://www.connectome.pitgroup.org that generates and visualizes these k-frequently appearing edges. We call the graphs of the k-frequently appearing edges "k-consensus connectomes" since an edge could be included only if it is present in at least k graphs out of n. Considering the whole human brain, we have reported a surprising property of these consensus connectomes earlier. In the present work we are focusing on the frontal lobe of the brain, and we report here a similarly surprising dynamical property of the consensus connectomes when k is gradually changed from k = n to k = 1: the connections between the nodes of the frontal lobe are seemingly emanating from those nodes that were connected to sub-cortical structures of the dorsal striatum: the caudate nucleus, and the putamen. We hypothesize that this dynamic behavior copies the axonal fiber development of the frontal lobe. An animation of the phenomenon is presented at https://youtu.be/wBciB2eW6_8.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Braingraph; Connectome; Dorsal striatum; Frontal lobe

Mesh:

Year:  2018        PMID: 29496609     DOI: 10.1016/j.neulet.2018.02.052

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


  9 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.  High-resolution directed human connectomes and the Consensus Connectome Dynamics.

Authors:  Balázs Szalkai; Csaba Kerepesi; Bálint Varga; Vince Grolmusz
Journal:  PLoS One       Date:  2019-04-16       Impact factor: 3.240

3.  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

4.  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

5.  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

6.  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

7.  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

8.  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

9.  The Graph of Our Mind.

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

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