Campamentos de inmigrantes en Nord-Pas-De-Calais (Francia): Evaluación de los principales asentamientos y propuesta de intervención aplicando criterios de habitabilidad básica

La región francesa de Nord-Pas-de-Calais es una zona estratégica para los inmigrantes que viajan a Reino Unido. Desde que se cerró en 2002 el centro de acogida de la Cruz Roja de Sangatte, los campamentos y concentraciones de inmigrantes se han diseminado por toda la región, especialmente a lo largo de las carreteras que unen Arras con Calais, Lille con Dunkerque y Dunkerque con Calais. Las condiciones de vida de los campamentos se caracterizan por la precariedad e insalubridad de los asentamientos (ausencia de agua potable y letrinas, falta de alojamiento y electricidad, presencia de mafias, proximidad a carreteras, etc.). Este trabajo se centra en el análisis de los seis principales campamentos de la región, es decir, los que concentran un mayor número de pobladores, los de mayor tamaño y en las localidades más próximas a las zonas de paso a las islas británicas, así como aquellos que cuentan o han contado con el apoyo de la administración pública. Este tipo de asentamientos se encuentra en constante evolución y cambio, y por ello el trabajo y la toma de datos se centran en un momento clave: en febrero de 2015, un mes antes del desmantelamiento de los campamentos de la ciudad de Calais

Comparativa de análisis de imputación da datos faltantes con análisis de casos completos en pruebas diagnósticas

El objetivo principal de este trabajo es la comparación de diversos métodos de tratamiento de datos faltantes en bases de datos de pruebas diagnósticas generadas a partir de una base de datos, sin pérdida de datos, mediante los diferentes mecanismos de pérdida de datos (MCAR, MAR y MNAR). La base de datos original recoge información sobre tumores mamarios malignos y benignos en una muestra de mujeres. La comparación se basa en los efectos que tienen los métodos de tratamiento de datos faltantes, tanto en el modelo diagnóstico que se obtenga mediante regresión logística con sus errores estándar, como en las curvas ROC y los valores asociados a dichas curvas. El objetivo secundario es obtener el mejor modelo de regresión logística para realizar el diagnóstico de los tumores. Se parte de la base de datos original sin datos faltantes, y el modelo fina obtenido es el que se aplica para comparar los efectos de los métodos de tratamiento de datos faltantes. Se explica la manera en la que se generan bases de datos con datos faltantes según cada mecanismo de pérdida de datos, tras detallar lo que representan las diferentes variables de la base de datos original. Se explican minuciosamente los métodos utilizados de tratamiento de datos faltantes con imputación múltiple, Missing Forest y MICE, y de manera más sencilla los demás métodos, el análisis de casos completos, el método de sustitución por la media y el uso de variables indicadoras de pérdida de datos

Psychological symptoms of the outbreak of the COVID-19 confinement in Spain

We studied the short-term psychological effects of the COVID-19 crisis and the quarantine on 3550 adults from the Spanish population in a cross-sectional survey. Symptoms of anxiety, depression, and stress were analyzed using the 21-item version of the Depression Anxiety Stress Scale. Symptoms of posttraumatic stress disorder were analyzed using the Impact of Event Scale. Symptomatic scores of anxiety, depression, and stress were observed in 20% to 30% of respondents. Symptomatic scores indicating psychological stress were found in 47.5% of respondents. Similar to the findings of other multiple studies, confinement has been found to have significant emotional impact in the Spanish population

Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA

Producción CientíficaAMURA (Apparent Measures Using Reduced Acquisitions) was originally proposed as a method to infer micro-structural information from single-shell acquisitions in diffusion MRI. It reduces the number of samples needed and the computational complexity of the estimation of diffusion properties of tissues by assuming the diffusion anisotropy is roughly independent on the b-value. This simplification allows the computation of simplified expressions and makes it compatible with standard acquisition protocols commonly used even in clinical practice. The present work proposes an extension of AMURA that allows the calculation of general moments of the diffusion signals that can be applied to describe the diffusion process with higher accuracy. We provide simplified expressions to analytically compute a set of scalar indices as moments of arbitrary orders over either the whole 3-D space, particular directions, or particular planes. The existing metrics previously proposed for AMURA (RTOP, RTPP and RTAP) are now special cases of this generalization. An extensive set of experiments is performed on public data and a clinical clase acquired with a standard type acquisition. The new metrics provide additional information about the diffusion processes inside the brain.Ministerio de Ciencia, Innovación y Universidades (grant RTI2018-094569-B-I00)Polish National Agency for Academic Exchange (grant PN/BEK/2019/1/00421)Ministry of Science and Higher Education of Poland (scholarship 692/STYP/13/2018)Junta de Castilla y León - Fondo Social Europeo (ID: 376062

Structural brain changes in patients with persistent headache after COVID-19 resolution

Producción CientíficaHeadache is among the most frequently reported symptoms after resolution of COVID-19. We assessed structural brain changes using T1- and diffusion-weighted MRI processed data from 167 subjects: 40 patients who recovered from COVID- 19 but suffered from persistent headache without prior history of headache (COV), 41 healthy controls, 43 patients with episodic migraine and 43 patients with chronic migraine. To evaluate gray matter and white matter changes, morphometry parameters and diffusion tensor imaging-based measures were employed, respectively. COV patients showed significant lower cortical gray matter volume and cortical thickness than healthy subjects (p < 0.05, false discovery rate corrected) in the inferior frontal and the fusiform cortex. Lower fractional anisotropy and higher radial diffusivity (p < 0.05, family-wise error corrected) were observed in COV patients compared to controls, mainly in the corpus callosum and left hemisphere. COV patients showed higher cortical volume and thickness than migraine patients in the cingulate and frontal gyri, paracentral lobule and superior temporal sulcus, lower volume in subcortical regions and lower curvature in the precuneus and cuneus. Lower diffusion metric values in COV patients compared to migraine were identified prominently in the right hemisphere. COV patients present diverse changes in the white matter and gray matter structure. White matter changes seem to be associ- ated with impairment of fiber bundles. Besides, the gray matter changes and other white matter modifications such as axonal integrity loss seemed subtle and less pronounced than those detected in migraine, showing that persistent headache after COVID-19 resolution could be an intermediate state between normality and migraine.Gerencia Regional de Salud (GRS) de Castilla y León, (GRS 2284/A/2020)Publicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCL

Default mode network components and its relationship with anomalous self-experiences in schizophrenia: A rs-fMRI exploratory study

Producción CientíficaAnomalous self-experiences (ASEs) in schizophrenia have been under research for the last 20 years. However, no neuroimage studies have provided insight of the possible biological underpinning of ASEs. In this novel approach, the connectivity within the default mode network, calculated through a ROI-based analysis of functional magnetic resonance imaging data, was correlated to the ASEs scores assessed by the Inventory of Psychotic-Like Anomalous Self-Experiences (IPASE) in a sample of 22 schizophrenia patients. The Pearson's correlation coefficients between IPASE scores and intrahemispheric connectivity of the parahippocampal gyrus with the isthmus cingulate cortex in both hemispheres, and right parahippocampal gyrus with the right rostral anterior cingulate cortex were positive and significant suggesting a relation between hyperactive functional connectivity and anomalous self-experiences intensity. Prior literature reported these areas to have a role in self-processing and consciousness as well as being anatomically connected. Further research with larger sample size and comparison with controls are needed to confirm the relationship of this connectivity with anomalous self-experiences.Instituto de Salud Carlos III (beca ID PI18/00178)Junta de Castilla y León (Dirección Regional de Salud de Castilla y León - grant ID GRS 2121/A/20)Junta de Castilla y León” and the European Social Fund (grant IDs VA-183-18 to IFL, VA-223-19 to RMBR

Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning

Diffusion-relaxation MRI aims to extract quantitative measures that characterise microstructural tissue properties such as orientation, size, and shape, but long acquisition times are typically required. This work proposes a physics-informed learning framework to extract an optimal subset of diffusion-relaxation MRI measurements for enabling shorter acquisition times, predict non-measured signals, and estimate quantitative parameters. In vivo and synthetic brain 5D-Diffusion- T 1 - T 2 ∗ -weighted MRI data obtained from five healthy subjects were used for training and validation, and from a sixth participant for testing. One fully data-driven and two physics-informed machine learning methods were implemented and compared to two manual selection procedures and Cramér-Rao lower bound optimisation. The physics-informed approaches could identify measurement-subsets that yielded more consistently accurate parameter estimates in simulations than other approaches, with similar signal prediction error. Five-fold shorter protocols yielded error distributions of estimated quantitative parameters with very small effect sizes compared to estimates from the full protocol. Selected subsets commonly included a denser sampling of the shortest and longest inversion time, lowest echo time, and high b-value. The proposed framework combining machine learning and MRI physics offers a promising approach to develop shorter imaging protocols without compromising the quality of parameter estimates and signal predictions

Band-gaps electromagnéticos con celdas unidad de tres dieléctricos

Electromagnetic band-gap structures (EBG) with Kronig-Penney morphology implemented inside rectangular waveguides are theoretically and experimentally examined using a unit cell with three dielectrics. Filtering properties of these structures are analysed, invoking the Floquet theorem for ideal structures (infinite in the propagation direction), and by means of the scattering matrix technique for real structures (i.e., of finite length). Measurements of the transmission coefficient for the fundamental mode in the Ku-band are presented

Evaluation of the Impact of the COVID-19 Lockdown in the Clinical Course of Migraine

Objective: Previous studies have demonstrated that emotional stress, changes in lifestyle habits and infections can worsen the clinical course of migraine. We hypothesize that changes in habits and medical care during coronavirus disease 2019 (COVID-19) lockdown might have worsened the clinical course of migraine. Design: Retrospective survey study collecting online responses from migraine patients followed-up by neurologists at three tertiary hospitals between June and July 2020. Methods: We used a web-based survey that included demographic data, clinical variables related with any headache (frequency) and migraine (subjective worsening, frequency, and intensity), lockdown, and symptoms of post-traumatic stress. Results: The response rate of the survey was 239/324 (73.8%). The final analysis included 222 subjects. Among them, 201/222 (90.5%) were women, aged 42.5 ± 12.0 (mean±SD). Subjective improvement of migraine during lockdown was reported in 31/222 participants (14.0%), while worsening in 105/222 (47.3%) and was associated with changes in migraine triggers such as stress related to going outdoors and intake of specific foods or drinks. Intensity of attacks increased in 67/222 patients (30.2%), and it was associated with the subjective worsening, female sex, recent insomnia, and use of acute medication during a headache. An increase in monthly days with any headache was observed in 105/222 patients (47.3%) and was related to symptoms of post-traumatic stress, older age and living with five or more people. Conclusions: Approximately half the migraine patients reported worsening of their usual pain during the lockdown. Worse clinical course in migraine patients was related to changes in triggers and the emotional impact of the lockdown. © 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the American Academy of Pain Medicine