The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain

Balazs Szalkai; Balint Varga; Csaba Kerepesi; Vince Grolmusz

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The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain

Csaba Kerepesi, Balint Varga, Balazs Szalkai, Vince Grolmusz

Neurons and Cognition · Submitted 4 May 2016

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim 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.

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arXiv ID1605.01441 (version 1)

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CitationBalazs Szalkai, Balint Varga, Csaba Kerepesi, Vince Grolmusz. "The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain." arXiv:1605.01441 (2016). https://pith.science/paper/FDYREASQ

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arXiv listing abstract v1. Results and the main claim are underlined; show every role.

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 \url{http://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.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	In the applications of the graph theory it is unusual that one considers numerous, pairwise different graphs on the very same set of vertices.	background 0.99	0.05	0.01	asserted 1.00
s1	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.	background 0.95	0.09	0.02	asserted 1.00
s2	Therefore, if we examine the braingraphs of $n$ subjects, then we have $n$ graphs on the very same, anatomically identified vertex set.	background 0.93	0.17	0.02	asserted 1.00
s3	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.	method 0.76	0.14	0.03	asserted 0.62
s4	Based on the NIH-funded large Human Connectome Project's public data release, we have reported the construction of the Budapest Reference Connectome Server \url{http://connectome.pitgroup.org} that generates and visualizes these $k$-frequently appearing edges.	contribution 0.78	0.91	0.03	asserted 1.00
s5	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 $n$.	method 0.61	0.58	0.05	asserted 0.99
s6	Considering the whole human brain, we have reported a surprising property of these consensus connectomes earlier.	background 0.81	0.78	0.03	asserted 0.97
s7	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.	result 0.92	0.92	0.87	hedged possibility 0.49
s8	We hypothesize that this dynamic behavior copies the axonal fiber development of the frontal lobe.	interpretation 1.00	0.19	0.19	speculative 0.85

What kind of paper the classifier reports this is: empirical study 0.98 · evidence from analysis of existing data 1.00.

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Original 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 \url{http://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.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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Builds on 1 paper

Here we have demonstrated that the astonishing observation of the Consensus Connectome Dynamics, described first in [ref] for the whole brain, also holds for the frontal lobe.

How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain · Conclusions: · 0.98

Uses the method or tool of 1 paper

The Budapest Reference Connectome Server <http://connectome.pitgroup.org> can generate the $k$-consensus connectomes for any $k$ ($1≤k ≤n$, where $n$ is the number of the graphs processed, i.e., $n=6, n=96, n=418$ or $n=477$, depending on the version), and some other parameters can also be selected [ref] .

Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0 · One vertex set - many graphs: · 0.93

Cites as background 5 papers

Recently, there is a consideerable interest in the correlations of the connectome-properties and the biological and psychological characteristics of the subjects [ref] .

Comparative Connectomics: Mapping the Inter-Individual Variability of Connections within the Regions of the Human Brain · Introduction · 0.93
Recently, there is a consideerable interest in the correlations of the connectome-properties and the biological and psychological characteristics of the subjects [ref] .

The Advantage is at the Ladies: Brain Size Bias-Compensated Graph-Theoretical Parameters are Also Better in Women's Connectomes · Introduction · 0.93
Recently, there is a consideerable interest in the correlations of the connectome-properties and the biological and psychological characteristics of the subjects [ref] .

Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0 · Introduction · 0.93

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