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

dc.contributorGómez Jaramillo, Francisco Albeiro
dc.contributorGonzález Osorio, Fabio Augusto
dc.contributorCombios
dc.contributor0000000294862781
dc.contributorhttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000658820
dc.contributorhttps://www.researchgate.net/profile/Darwin-Martinez-2
dc.contributorhttps://scholar.google.com/citations?user=LaWlhYUAAAAJ
dc.creatorMartínez Riaño, Darwin Eduardo
dc.date.accessioned2022-12-06T20:26:59Z
dc.date.accessioned2023-06-07T00:16:34Z
dc.date.available2022-12-06T20:26:59Z
dc.date.available2023-06-07T00:16:34Z
dc.date.created2022-12-06T20:26:59Z
dc.date.issued2022
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/82850
dc.identifierUniversidad Nacional de Colombia
dc.identifierRepositorio Institucional Universidad Nacional de Colombia
dc.identifierhttps://repositorio.unal.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6651857
dc.description.abstractConsciousness 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)
dc.description.abstractLas 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.
dc.languageeng
dc.publisherUniversidad Nacional de Colombia
dc.publisherBogotá - Ingeniería - Doctorado en Ingeniería - Sistemas y Computación
dc.publisherFacultad de Ingeniería
dc.publisherBogotá, Colombia
dc.publisherUniversidad Nacional de Colombia - Sede Bogotá
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dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleComputational strategies to characterize topological properties of pathologically altered functional brain networks
dc.typeTrabajo de grado - Doctorado


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