October 2018 - Materia-seminarios

Recordatorio de Seminario: "Brain networks as a predictor of aging along lifespan"
by Daniel Manzano 29 Oct '18

29 Oct '18

Les recordamos el próximo seminario del Grupo de Física Estadística y de los Sistemas Complejos de la Universidad de Granada. Título: Brain networks as a predictor of aging along lifespan Ponente: Jesus M. Cortes. Biocruces Health Research Institute, Spain Resumen: The chronological age (CHA) differs from the biological one. While the former is defined as the time running as birth, the latter quantifies the maturity level that an individual (or an organ) has at the operational level. In relation with the brain, the discrepancy between the brain age and CHA might work as a biomarker for quantifying deterioration as a result of disease or improvement after some treatment or therapy, which has unlimited applications. Here, I will talk about recent results from our laboratory addressing whether or not the CHA of an individual can be predicted from the brain connectivity patterns. In particular, by building functional (resting-state) and structural (tractography) brain networks from neuroimages of healthy participants (N=155) ranging from 10 to 80 years, we apply machine learning methods to define the brain-connectome age (BCA) --the age estimator resulting from the structure-function connectome--. We next compared BCA to CHA to find that the connectivity between basal ganglia and thalamus to frontal areas, a.k.a. the fronto-striato-thalamic circuit, makes the major contribution to age estimation. Notably, the same methodology can be generally applied to identify the structural-functional brain network patterns correlating to other biomarkers than CHA Referencia: http://jesuscortes.info/jesusweb/publications/Betal_HBM2018.pdf <http://jesuscortes.info/jesusweb/publications/Betal_HBM2018.pdf> Día y hora: 31 de Octubre de 2018. 12:00. Lugar: Seminario de Física Computacional (F6). Departamento de Física de la Materia (Planta baja del edificio de Física, junto a las pantallas). Facultad de Ciencias. Contacto: manzano(a)onsager.ugr.es <mailto:manzano@onsager.ugr.es> --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 <tel:+34%20958241000;20569> http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Brain networks as a predictor of aging along lifespan
by Daniel Manzano 23 Oct '18

23 Oct '18

Anunciamos el próximo seminario del Grupo de Física Estadística y de los Sistemas Complejos de la Universidad de Granada. Título: Brain networks as a predictor of aging along lifespan Ponente: Jesus M. Cortes. Biocruces Health Research Institute, Spain Abstract: The chronological age (CHA) differs from the biological one. While the former is defined as the time running as birth, the latter quantifies the maturity level that an individual (or an organ) has at the operational level. In relation with the brain, the discrepancy between the brain age and CHA might work as a biomarker for quantifying deterioration as a result of disease or improvement after some treatment or therapy, which has unlimited applications. Here, I will talk about recent results from our laboratory addressing whether or not the CHA of an individual can be predicted from the brain connectivity patterns. In particular, by building functional (resting-state) and structural (tractography) brain networks from neuroimages of healthy participants (N=155) ranging from 10 to 80 years, we apply machine learning methods to define the brain-connectome age (BCA) --the age estimator resulting from the structure-function connectome--. We next compared BCA to CHA to find that the connectivity between basal ganglia and thalamus to frontal areas, a.k.a. the fronto-striato-thalamic circuit, makes the major contribution to age estimation. Notably, the same methodology can be generally applied to identify the structural-functional brain network patterns correlating to other biomarkers than CHA Reference: http://jesuscortes.info/jesusweb/publications/Betal_HBM2018.pdf <http://jesuscortes.info/jesusweb/publications/Betal_HBM2018.pdf> Día y hora: 31 de Octubre de 2018. 12:00. Lugar: Seminario de Física Computacional (F6). Departamento de Física de la Materia (Planta baja del edificio de Física). Facultad de Ciencias. --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Seminario: Symmetry-breaking in the dynamical fluctuations of driven diffusive systems
by Daniel Manzano 09 Oct '18

09 Oct '18

Os recuerdo que el próximo jueves tendremos el siguiente seminario en el departamento. Fecha y hora: Jueves 11 de Octubre, 12:00h. Lugar: Aula de Informática (F6). Departamento de Física de la Materia. Facultad de Ciencias. Ponente: Dr. Carlos Perez-Espigares. Título: Symmetry-breaking in the dynamical fluctuations of driven diffusive systems Abstract: Driven diffusive systems may undergo phase transitions to sustain atypical values of the current. This leads in some cases to symmetry-broken space-time trajectories which enhance the probability of such fluctuations. In this talk I will shed light on both the macroscopic large deviation properties and the microscopic origin of such spontaneous symmetry breaking in the paradigmatic weakly asymmetric exclusion process. By studying the joint fluctuations of the current and a collective order parameter, I will uncover the full dynamical phase diagram for arbitrary boundary driving. The associated joint large deviation function becomes non-convex below the critical point, where a Maxwell-like violation of the additivity principle is observed. At the microscopic level, the dynamical phase transition is linked to an emerging degeneracy of the ground state of the microscopic generator, from which the optimal trajectories in the symmetry-broken phase follow. Finally, I will show how this new symmetry-breaking phenomenon is observed in extensive rare-event simulations of the microscopic dynamics. Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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