Computational strategies to characterize topological properties of pathologically altered functional brain networks

ilustraciones, gráficas

Autores:: Martínez Riaño, Darwin Eduardo

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2022

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

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network_acronym_str	UNACIONAL2
network_name_str	Universidad Nacional de Colombia
repository_id_str
dc.title.eng.fl_str_mv	Computational strategies to characterize topological properties of pathologically altered functional brain networks
dc.title.translated.spa.fl_str_mv	Estrategias computacionales para caracterizar las propiedades topologicas de las redes cerebrales funcionales patológicamente alteradas
title	Computational strategies to characterize topological properties of pathologically altered functional brain networks
spellingShingle	Computational strategies to characterize topological properties of pathologically altered functional brain networks Cerebro Brain Altered consciousness states Resting-state Functional connectivity Complex network analysis Topological data analysis Persistent homology Topological description Estados alterados de conciencia Estado de reposo Conectividad fun- cional Análisis de redes complejas Análisis topológico de datos Homología persistente Descripción topológica
title_short	Computational strategies to characterize topological properties of pathologically altered functional brain networks
title_full	Computational strategies to characterize topological properties of pathologically altered functional brain networks
title_fullStr	Computational strategies to characterize topological properties of pathologically altered functional brain networks
title_full_unstemmed	Computational strategies to characterize topological properties of pathologically altered functional brain networks
title_sort	Computational strategies to characterize topological properties of pathologically altered functional brain networks
dc.creator.fl_str_mv	Martínez Riaño, Darwin Eduardo
dc.contributor.advisor.none.fl_str_mv	Gómez Jaramillo, Francisco Albeiro González Osorio, Fabio Augusto
dc.contributor.author.none.fl_str_mv	Martínez Riaño, Darwin Eduardo
dc.contributor.researchgroup.spa.fl_str_mv	Combios
dc.contributor.orcid.spa.fl_str_mv	0000000294862781
dc.contributor.cvlac.spa.fl_str_mv	https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000658820
dc.contributor.researchgate.spa.fl_str_mv	https://www.researchgate.net/profile/Darwin-Martinez-2
dc.contributor.googlescholar.spa.fl_str_mv	https://scholar.google.com/citations?user=LaWlhYUAAAAJ
dc.subject.lemb.spa.fl_str_mv	Cerebro
topic	Cerebro Brain Altered consciousness states Resting-state Functional connectivity Complex network analysis Topological data analysis Persistent homology Topological description Estados alterados de conciencia Estado de reposo Conectividad fun- cional Análisis de redes complejas Análisis topológico de datos Homología persistente Descripción topológica
dc.subject.lemb.eng.fl_str_mv	Brain
dc.subject.proposal.eng.fl_str_mv	Altered consciousness states Resting-state Functional connectivity Complex network analysis Topological data analysis Persistent homology Topological description
dc.subject.proposal.spa.fl_str_mv	Estados alterados de conciencia Estado de reposo Conectividad fun- cional Análisis de redes complejas Análisis topológico de datos Homología persistente Descripción topológica
description	ilustraciones, gráficas
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-12-06T20:26:59Z
dc.date.available.none.fl_str_mv	2022-12-06T20:26:59Z
dc.date.issued.none.fl_str_mv	2022
dc.type.spa.fl_str_mv	Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TD
format	http://purl.org/coar/resource_type/c_db06
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/82850
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/82850 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	eng
language	eng
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
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dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv	Bogotá, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gómez Jaramillo, Francisco Albeiro3d5ae9ddfac84b21c5f08ae8d7581567González Osorio, Fabio Augusto8447cef8987c842acdb535c9cfebedc7Martínez Riaño, Darwin Eduardoe71d79e37c083af3232a4b64da564434Combios0000000294862781https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000658820https://www.researchgate.net/profile/Darwin-Martinez-2https://scholar.google.com/citations?user=LaWlhYUAAAAJ2022-12-06T20:26:59Z2022-12-06T20:26:59Z2022https://repositorio.unal.edu.co/handle/unal/82850Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficasConsciousness alterations, including disorders of consciousness (DOC), propose a defiant scenario from the prognosis and diagnosis perspectives. Brain resting-state functional imaging mitigates this challenge, offering alternatives to explore brain activity in altered consciousness states. Furthermore, connectivity functional variations in resting have been linked with consciousness alterations. So, considering the evidence of connectivity alterations in altered consciousness states, this thesis inquires new computational approximations to describe topological characteristics associated with the resting-state connectivity in altered states of consciousness. This work introduces two computational strategies for the characterization of topological features underlying the graph representation model. The first strategy describes graph connectivity properties of the so-called functional connectome, linking its alterations to the patients' level of consciousness. Despite the capacity characterization of this approach, it is limited only to describe pair-wise interactions, which is the base of the graph model. The second strategy characterizes both low and high-order connectivity properties from the topological perspective using Persistent Homology (PH), resulting in a richer representation of the brain functional interactions. These properties include the number of holes (0 and 1 dimensions) emerging in the resting-state dynamic across different scales. This strategy was investigated in healthy control (HC) subjects and later extended to patients with altered states of consciousness. The first strategy (graph-based) suggests variations in critical properties related to consciousness, such as integration, segregation, and centrality, when comparing HC and patients with DOC. In HC, the second strategy (PH-based) provided evidence of persistent 1-dimensional holes, indicating that resting-state connectivity exhibits high-order interactions. Results also suggest that brain regions associated with the appearance of these 1-holes have a marked symmetry in both cerebral hemispheres. In patients with altered states of consciousness, results related to 0-dimensional holes indicate dissimilarities among the time courses, likely linking to particular integration mechanisms in these conditions. Additionally, 1-dimensional holes were also identified in the pathological population. However, brain regions involved in the appearance of these features differed from the ones observed for HC. In particular, no symmetry was observed. These results shows topological changes in the functional connectome of patients with altered states of consciousness, suggesting that high-order functional interaction mechanisms may play an important role in the emergence of consciousness in patients with DOC. (Texto tomado de la fuente)Las alteraciones de la conciencia, incluyendo los desórdenes de conciencia (DOC), proponen un escenario desafiante desde la perspectiva del pronóstico y el diagnóstico. Las imágenes funcionales del cerebro en estado de reposo reducen este desafı́o, ofreciendo alternativas para explorar la actividad cerebral en estados alterados de conciencia. Además, variaciones en la conectividad funcional en reposo han sido relacionadas con alteraciones de la conciencia. Entonces, considerando la evidencia de cambios de la conectividad en estados alterados de conciencia, esta tesis indaga en nuevas aproximaciones computacionales para describir características topológicas asociadas con la conectividad en estado de reposo para estados alterados de conciencia. Este trabajo presenta dos estrategias para la caracterización de rasgos topológicos subyacentes a los modelos de grafos. La primera estrategia mide las propiedades del grafo o conectoma funcional, vinculando sus variaciones con el nivel de conciencia. Sin embargo, este enfoque está limitado por la base de interacción por pares del modelo de grafos. La segunda estrategia describe propiedades de alto orden de una representación de interacciones simultáneas a través del complejo simplicial mediante el uso de la homologı́a persistente (PH). Las propiedades de alto orden son las fronteras de los huecos de dimensión 0 y 1 del estado de reposo. Esta estrategia se implementa para sujetos controles (HC) sanos y se ajusta para pacientes con estados alterados de conciencia. Los resultados del primer método, basado en medidas de grafos, muestran variaciones en propiedades clave relacionadas con la conciencia, como la integración, la segregación y la centralidad. La segunda estrategia en HC identificaron huecos 1 dimensionales persistentes, indicando que la conectividad en estado de reposo exhibe interacciones de alto orden. Además, hay regiones cerebrales asociadas con la aparición de estos huecos que muestran simetrı́a al ser vistos sobre los hemisferios cerebrales. En pacientes con estados alterados de conciencia, el método incluye la descripción de los huecos 0 dimensionales, denotando la integración entre las señales en estado de reposo. Los resultados de los huecos 0 dimensionales indican distancias mayores entre las señales. Además, en esta población también se identificaron huecos 1 dimensionales. Su persistencia es comparable a la de los sujetos HC, pero las regiones cerebrales involucradas en su ocurrencia son distintas y no se observa simetrı́a. Estos resultados sugieren que efectivamente existen variaciones topológicas de orden bajo y alto asociadas con la alteración de la conciencia. Además, estas variaciones pueden servir para nuevas investigaciones en conciencia.Contiene ecuaciones, figuras y tablasDoctoradoDoctor en IngenieríaComputación Aplicadaxxiii, 102 páginasapplication/pdfengUniversidad Nacional de ColombiaBogotá - Ingeniería - Doctorado en Ingeniería - Sistemas y ComputaciónFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede BogotáComputational strategies to characterize topological properties of pathologically altered functional brain networksEstrategias computacionales para caracterizar las propiedades topologicas de las redes cerebrales funcionales patológicamente alteradasTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDAchard, Sophie; Delon-Martin, Chantal; Vértes, Petra E.; Renard, Félix; Schenck, Maleka; Schneider, Francis; Heinrich, Christian; Kremer, Stéphane; Bullmore, Edward T.: Hubs of brain functional networks are radically reorganized in comatose patients. 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In: Neuropsychiatric disease and treatment 15 (2019), jul, S. 1833–1844. – ISSN 1176–6328CerebroBrainAltered consciousness statesResting-stateFunctional connectivityComplex network analysisTopological data analysisPersistent homologyTopological descriptionEstados alterados de concienciaEstado de reposoConectividad fun- cionalAnálisis de redes complejasAnálisis topológico de datosHomología persistenteDescripción topológicaEstudiantesInvestigadoresLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/82850/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL80238002.2022.pdf80238002.2022.pdfTesis de Doctorado en Ingeniería de Sistemas y Computaciónapplication/pdf24244364https://repositorio.unal.edu.co/bitstream/unal/82850/2/80238002.2022.pdf554c40afa05a10c23e97739b0cd9b16cMD52THUMBNAIL80238002.2022.pdf.jpg80238002.2022.pdf.jpgGenerated 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Computational strategies to characterize topological properties of pathologically altered functional brain networks

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