dc.creator | Morón Fernández, María José | es |
dc.creator | Amedeo, Ludovica Maria | es |
dc.creator | Monterroso Muñoz, Alberto | es |
dc.creator | Molina Abril, Helena | es |
dc.creator | Díaz del Río, Fernando | es |
dc.creator | Bini, Fabiano | es |
dc.creator | Marinozzi, Franco | es |
dc.creator | Real Jurado, Pedro | es |
dc.date.accessioned | 2023-11-23T12:16:02Z | |
dc.date.available | 2023-11-23T12:16:02Z | |
dc.date.issued | 2023-10 | |
dc.identifier.citation | Morón Fernández, M.J., Amedeo, L.M., Monterroso Muñoz, A., Molina Abril, H., Díaz del Río, F., Bini, F.,...,Real Jurado, P. (2023). Analysis of Connectome Graphs Based on Boundary Scale. Sensors, 23 (20), 8607. https://doi.org/10.3390/s23208607. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | https://hdl.handle.net/11441/151428 | |
dc.description.abstract | The purpose of this work is to advance in the computational study of connectome graphs
from a topological point of view. Specifically, starting from a sequence of hypergraphs associated
to a brain graph (obtained using the Boundary Scale model, BS²
), we analyze the resulting scalespace representation using classical topological features, such as Betti numbers and average node
and edge degrees. In this way, the topological information that can be extracted from the original
graph is substantially enriched, thus providing an insightful description of the graph from a clinical
perspective. To assess the qualitative and quantitative topological information gain of the BS²
model, we carried out an empirical analysis of neuroimaging data using a dataset that contains the
connectomes of 96 healthy subjects, 52 women and 44 men, generated from MRI scans in the Human
Connectome Project. The results obtained shed light on the differences between these two classes of
subjects in terms of neural connectivity. | es |
dc.format | application/pdf | es |
dc.format.extent | 13 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 23 (20), 8607. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Connectome | es |
dc.subject | Hypergraph theory | es |
dc.subject | Betti numbers | es |
dc.subject | Topological scale | es |
dc.title | Analysis of Connectome Graphs Based on Boundary Scale | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | PID2019-110455GB-I00 | es |
dc.relation.projectID | US-1381077 | es |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/23/20/8607 | es |
dc.identifier.doi | 10.3390/s23208607 | es |
dc.contributor.group | Universidad de Sevilla. TIC171: Diseño de Interfaces Avanzados (Diana) | es |
dc.contributor.group | Universidad de Sevilla. TIC245: Topological Pattern Analysis, Recognition and Learning | es |
dc.contributor.group | Universidad de Sevilla. TEP108: Robótica y Tecnología de Computadores | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 23 | es |
dc.publication.issue | 20 | es |
dc.publication.initialPage | 8607 | es |
dc.contributor.funder | MCIN/AEI/10.13039/501100011033 and Feder Funds project Par-Hot PID2019-110455GB-I00 | es |
dc.contributor.funder | MCIN/AEI/10.13039/501100011033 and Feder Funds project CIUCAP-HSF US-1381077 | es |