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Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph
For more than a decade now, we can discover and study thousands of cerebral connections with the application of diffusion magnetic resonance imaging (dMRI) techniques and the accompanying algorithmic workflow. While numerous connectomical results were published enlightening the relation between the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572280/ https://www.ncbi.nlm.nih.gov/pubmed/34786030 http://dx.doi.org/10.1007/s11571-021-09687-w |
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author | Keresztes, László Szögi, Evelin Varga, Bálint Grolmusz, Vince |
author_facet | Keresztes, László Szögi, Evelin Varga, Bálint Grolmusz, Vince |
author_sort | Keresztes, László |
collection | PubMed |
description | For more than a decade now, we can discover and study thousands of cerebral connections with the application of diffusion magnetic resonance imaging (dMRI) techniques and the accompanying algorithmic workflow. While numerous connectomical results were published enlightening the relation between the braingraph and certain biological, medical, and psychological properties, it is still a great challenge to identify a small number of brain connections closely related to those conditions. In the present contribution, by applying the 1200 Subjects Release of the Human Connectome Project (HCP) and Support Vector Machines, we identify just 102 connections out of the total number of 1950 connections in the 83-vertex graphs of 1064 subjects, which—by a simple linear test—precisely, without any error determine the sex of the subject. Next, we re-scaled the weights of the edges—corresponding to the discovered fibers—to be between 0 and 1, and, very surprisingly, we were able to identify two graph edges out of these 102, such that, if their weights are both 1, then the connectome always belongs to a female subject, independently of the other edges. Similarly, we have identified 3 edges from these 102, whose weights, if two of them are 1 and one is 0, imply that the graph belongs to a male subject—again, independently of the other edges. We call the former 2 edges superfeminine and the first two of the 3 edges supermasculine edges of the human connectome. Even more interestingly, the edge, connecting the right Pars Triangularis and the right Superior Parietal areas, is one of the 2 superfeminine edges, and it is also the third edge, accompanying the two supermasculine connections if its weight is 0; therefore, it is also a “switching” edge. Identifying such edge-sets of distinction is the unprecedented result of this work. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09687-w. |
format | Online Article Text |
id | pubmed-8572280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-85722802021-11-15 Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph Keresztes, László Szögi, Evelin Varga, Bálint Grolmusz, Vince Cogn Neurodyn Research Article For more than a decade now, we can discover and study thousands of cerebral connections with the application of diffusion magnetic resonance imaging (dMRI) techniques and the accompanying algorithmic workflow. While numerous connectomical results were published enlightening the relation between the braingraph and certain biological, medical, and psychological properties, it is still a great challenge to identify a small number of brain connections closely related to those conditions. In the present contribution, by applying the 1200 Subjects Release of the Human Connectome Project (HCP) and Support Vector Machines, we identify just 102 connections out of the total number of 1950 connections in the 83-vertex graphs of 1064 subjects, which—by a simple linear test—precisely, without any error determine the sex of the subject. Next, we re-scaled the weights of the edges—corresponding to the discovered fibers—to be between 0 and 1, and, very surprisingly, we were able to identify two graph edges out of these 102, such that, if their weights are both 1, then the connectome always belongs to a female subject, independently of the other edges. Similarly, we have identified 3 edges from these 102, whose weights, if two of them are 1 and one is 0, imply that the graph belongs to a male subject—again, independently of the other edges. We call the former 2 edges superfeminine and the first two of the 3 edges supermasculine edges of the human connectome. Even more interestingly, the edge, connecting the right Pars Triangularis and the right Superior Parietal areas, is one of the 2 superfeminine edges, and it is also the third edge, accompanying the two supermasculine connections if its weight is 0; therefore, it is also a “switching” edge. Identifying such edge-sets of distinction is the unprecedented result of this work. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09687-w. Springer Netherlands 2021-07-15 2021-12 /pmc/articles/PMC8572280/ /pubmed/34786030 http://dx.doi.org/10.1007/s11571-021-09687-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Keresztes, László Szögi, Evelin Varga, Bálint Grolmusz, Vince Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
title | Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
title_full | Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
title_fullStr | Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
title_full_unstemmed | Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
title_short | Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
title_sort | identifying super-feminine, super-masculine and sex-defining connections in the human braingraph |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572280/ https://www.ncbi.nlm.nih.gov/pubmed/34786030 http://dx.doi.org/10.1007/s11571-021-09687-w |
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