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344 results on '"del Pozo, Francisco"'

3. Influence of Cardiovascular Risk Factors and Metabolic Syndrome on Epicardial Adipose Tissue Thickness in Rural Spanish Children and Adolescents.

Author

Blancas Sánchez, Isabel María, Aristizábal-Duque, Cristhian H., Cabeza, Juan Fernández, Vaquero Álvarez, Manuel, Aparicio-Martínez, Pilar, Abellán, Manuel Vaquero, Ruíz Ortiz, Martín, Mesa Rubio, María Dolores, and Fonseca del Pozo, Francisco Javier

Abstract

The presence of visceral adipose tissue implies a higher risk of cardiovascular diseases than subcutaneous adiposity, the most dangerous heart fat. Epicardial adipose tissue (EAT) could have great potential as a detection indicator of cardiovascular diseases, although it has seldom been studied in Spanish children. Objective: The objective of the current research was to describe the values of EAT in a Spanish pediatric population and to investigate the associations between EAT and anthropometric measures, blood pressure, lipid and glucose profiles, and metabolic syndrome. Method: An analytical cross-sectional study of elementary and high school students (aged 6 to 17) measured anthropometrics, blood pressure, lipid and glycemic profiles, and echocardiographic fat thickness. The analysis was based on regression and discriminant analysis. Results: The results of this study (N = 227) showed that the body mass index (BMI) was 20.29 ± 4.54, with an overweight set of 49.77%, and the percentage for metabolic syndrome was 5.3%. EAT was linked to being male, BMI percentile, waist circumference, waist-to-height ratio (p < 0.001), hypertension, higher low-density lipoprotein (LDL) levels, and metabolic syndrome (p < 0.05). Conclusions: This paper argues that in children with higher elevated EAT thickness values, this correlates with cardiovascular risk factors including high blood pressure, elevated LDL levels, and metabolic syndrome. [ABSTRACT FROM AUTHOR]

Published
2024
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4. A Fuzzy Inference System for Closed-Loop Deep Brain Stimulation in Parkinson's Disease

Author

Cámara, Carmen, Warwick, Kevin, Bruña Fernández, Ricardo, Aziz, Tipu, del Pozo, Francisco, Maestu Unturbe, Fernando, Cámara, Carmen, Warwick, Kevin, Bruña Fernández, Ricardo, Aziz, Tipu, del Pozo, Francisco, and Maestu Unturbe, Fernando

Abstract

Parkinsons disease is a complex neurodegenerative disorder for which patients present many symptoms, tremor being the main one. In advanced stages of the disease, Deep Brain Stimulation is a generalized therapy which can significantly improve the motor symptoms. However despite its beneficial effects on treating the symptomatology, the technique can be improved. One of its main limitations is that the parameters are fixed, and the stimulation is provided uninterruptedly, not taking into account any fluctuation in the patients state. A closed-loop system which provides stimulation by demand would adjust the stimulation to the variations in the state of the patient, stimulating only when it is necessary. It would not only perform a more intelligent stimulation, capable of adapting to the changes in real time, but also extending the devices battery life, thereby avoiding surgical interventions. In this work we design a tool that learns to recognize the principal symptom of Parkinsons disease and particularly the tremor. The goal of the designed system is to detect the moments the patient is suffering from a tremor episode and consequently to decide whether stimulation is needed or not. For that, local field potentials were recorded in the subthalamic nucleus of ten Parkinsonian patients, who were diagnosed with tremor-dominant Parkinsons disease and who underwent surgery for the implantation of a neurostimulator. Electromyographic activity in the forearm was simultaneously recorded, and the relation between both signals was evaluated using two different synchronization measures. The results of evaluating the synchronization indexes on each moment represent the inputs to the designed system. Finally, a fuzzy inference system was applied with the goal of identifying tremor episodes. Results are favourable, reaching accuracies of higher 98.7 % in 70 % of the patients., Centro de Investigación Biomédica en Red, Depto. de Psicología Experimental, Procesos Cognitivos y Logopedia, Depto. de Radiología, Rehabilitación y Fisioterapia, Fac. de Psicología, Fac. de Medicina, TRUE, pub

Published
2024

5. HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity

Author

Niso, Guiomar, Bruña, Ricardo, Pereda, Ernesto, Gutiérrez, Ricardo, Bajo, Ricardo, Maestú, Fernando, and del-Pozo, Francisco

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Mathematical Software, Physics - Biological Physics, Physics - Data Analysis, Statistics and Probability
Abstract

The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the 'traditional' set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality. This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified-easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox. Here we present HERMES (http://hermes.ctb.upm.es), a toolbox for the Matlab environment (The Mathworks, Inc), which is designed for the analysis functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis., Comment: 58 pages, 10 figures, 3 tables, Neuroinformatics 2013

Published
2013
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7. Emergence of network features from multiplexity

Author

Cardillo, Alessio, Gómez-Gardeñes, Jesús, Zanin, Massimiliano, Romance, Miguel, Papo, David, del Pozo, Francisco, and Boccaletti, Stefano

Subjects
Physics - Physics and Society, Computer Science - Social and Information Networks
Abstract

Many biological and man-made networked systems are characterized by the simultaneous presence of different sub-networks organized in separate layers, with links and nodes of qualitatively different types. While during the past few years theoretical studies have examined a variety of structural features of complex networks, the outstanding question is whether such features are characterizing all single layers, or rather emerge as a result of coarse-graining, i.e. when going from the multilayered to the aggregate network representation. Here we address this issue with the help of real data. We analyze the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer. We examine how several structural measures evolve as layers are progressively merged together. In particular, we discuss how the topology of each layer affects the emergence of structural properties in the aggregate network., Comment: 8 pages, 3 figures. Submitted for publication

Published
2012
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9. The effects of obesity on longitudinal ventricular and atrial strain in a rural population of Spanish children and adolescents, evaluated by a new strain software

Author

Aristizábal‐Duque, Cristhian H., primary, Fernández Cabeza, Juan, additional, Blancas Sánchez, Isabel María, additional, Delgado Ortega, Mónica, additional, Aparicio‐Martinez, Pilar, additional, Romero Saldaña, Manuel, additional, Fonseca del Pozo, Francisco Javier, additional, Álvarez‐Ossorio, Manuel Pan, additional, Ruíz Ortiz, Martín, additional, and Mesa Rubio, María Dolores, additional

Published
2023
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13. EEG Metrics Evaluation in Simultaneous EEG-fMRI Olfactory Experiment

Author

Manzanedo, Eva, Solana, Ana Beatriz, Molina, Elena, Bruña, Ricardo, Borromeo, Susana, Hernández-Tamames, Juan Antonio, del Pozo, Francisco, Magjarevic, Ratko, Editor-in-chief, Ładyzynsk, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, and Roa Romero, Laura M., editor

Published
2014
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14. A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity

Author

Maestú, Fernando, Peña, Jose-Maria, Garcés, Pilar, González, Santiago, Bajo, Ricardo, Bagic, Anto, Cuesta, Pablo, Funke, Michael, Mäkelä, Jyrki P., Menasalvas, Ernestina, Nakamura, Akinori, Parkkonen, Lauri, López, Maria E., del Pozo, Francisco, Sudre, Gustavo, Zamrini, Edward, Pekkonen, Eero, Henson, Richard N., and Becker, James T.

Published
2015
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16. Biomedical Literature Retrieval Based on Patient Information

Author

Jimenez-Castellanos, Ana, Fernandez, Izaskun, Perez-Rey, David, Viejo, Elisa, Díez, Francisco Javier, de Kortazar, Xabier García, Garcia-Remesal, Miguel, Maojo, Victor, Cobo, Antonio, del Pozo, Francisco, Fred, Ana, editor, Filipe, Joaquim, editor, and Gamboa, Hugo, editor

Published
2013
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21. A New Methodology to Characterize Sensory Interaction for Use in Laparoscopic Surgery Simulation

Author

Lamata, Pablo, Gómez, Enrique J., Sánchez-Margallo, Francisco M., Lamata, Félix, Gayá, Francisco, Pagador, José B., Usón, Jesús, del Pozo, Francisco, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cotin, Stéphane, editor, and Metaxas, Dimitris, editor

Published
2004
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28. The Assessment of Myocardial Longitudinal Strain in a Paediatric Spanish Population Using a New Software Analysis

Author

Aristizábal-Duque, Cristhian, primary, Fernández Cabeza, Juan, additional, Blancas Sánchez, Isabel, additional, Delgado Ortega, Mónica, additional, Aparicio Martinez, Pilar, additional, Romero-Saldaña, Manuel, additional, Fonseca del Pozo, Francisco, additional, Pan, Manuel, additional, Ruiz Ortiz, Martin, additional, and Mesa-Rubio, María, additional

Published
2022
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29. Multidisciplinary consensus on the criteria for fertility preservation in cancer patients

Author

Universidad de Sevilla. Departamento de Farmacología, Pediatría y Radiología, Santaballa Bertrán, Ana, Márquez Vega, Catalina, Rodríguez Lescure, Álvaro, Rovirosa Casino, Ángeles, Vázquez de la Torre, M. L., Zeberio Etxetxipia, I., Andrés, M., Bassas, L., Ceballos García, E., Domingo del Pozo, Francisco Javier, Manau Trullàs, Dolors, Universidad de Sevilla. Departamento de Farmacología, Pediatría y Radiología, Santaballa Bertrán, Ana, Márquez Vega, Catalina, Rodríguez Lescure, Álvaro, Rovirosa Casino, Ángeles, Vázquez de la Torre, M. L., Zeberio Etxetxipia, I., Andrés, M., Bassas, L., Ceballos García, E., Domingo del Pozo, Francisco Javier, and Manau Trullàs, Dolors

Abstract

Infertility is one of the main sequelae of cancer and its treatment in both children and adults of reproductive age. It is, therefore, essential that oncologists and haematologists provide adequate information about the risk of infertility and the possibilities for its preservation before starting treatment. Although many international clinical guidelines address this issue, this document is the frst Spanish multidisciplinary guideline in paediatric and adult oncological patients. Experts from the Spanish Society of Medical Oncology, the Spanish Fertility Society, the Spanish Society of Haematology and Haemotherapy, the Spanish Society of Paediatric Haematology and Oncology and the Spanish Society of Radiation Oncology have col‑ laborated to develop a multidisciplinary consensus.

Published
2022

32. A User-Centered Cooperative Information System for Medical Imaging Diagnosis.

Author

Gomez, Enrique J., Quiles, Jose A., Sanz, Marcos F., and del Pozo, Francisco

Abstract

Presents a cooperative information system for remote medical imaging diagnosis. General computer-supported cooperative work (CSCW) problems addressed are definition of a procedure for the design of user-centered cooperative systems (conceptual level); and improvement of user feedback and optimization of the communication bandwidth in highly interactive CSCW applications for remote access to medical image databases (technological level). (AEF)

Published
1998

43. Biomedical Literature Retrieval Based on Patient Information

Author

Jimenez-Castellanos, Ana, primary, Fernandez, Izaskun, additional, Perez-Rey, David, additional, Viejo, Elisa, additional, Díez, Francisco Javier, additional, de Kortazar, Xabier García, additional, Garcia-Remesal, Miguel, additional, Maojo, Victor, additional, Cobo, Antonio, additional, and del Pozo, Francisco, additional

Published
2013
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49. Estudio de la obesidad en una población infantil rural y su relación con variables antropométricas

Author

Vaquero-Álvarez, Manuel, Romero-Saldaña, Manuel, Valle-Alonso, Joaquin, Llorente Cantarero, Francisco Jesús, Blancas-Sánchez, Isabel María, and Fonseca Del Pozo, Francisco Javier

Subjects
Male, Pediatric Obesity, Anthropometry, School population, Adolescent, Población escolar, Body Weight, Obesidad, Reproducibility of Results, Blood Pressure, Rural Health, Lifestyle, Body Height, Estilo de vida, Cross-Sectional Studies, Antropometría, Spain, Prevalence, Humans, Female, Obesity, Waist Circumference, Child
Abstract

To know the prevalence of obesity in primary and secondary school students, and to evaluate the diagnostic accuracy of anthropometric variables for its detection. Cross-sectional study. Rural area of Córdoba. In the year 2014. Student population. A stratified sampling was performed according to age, gender and educational centers. A total of 323 students from 6 to 16 years were included in the study, all parents had signed informed consent. The prevalence of obesity was determined and sociodemographic, anthropometric, physical condition and dietary predictor variables were collected. A binary logistic regression was performed determining crude and adjusted Odds Ratio (OR) values, ROC curves were obtained and cut-off values were determined, calculating the sensitivity, specificity and Youden index. The prevalence of overweight and obesity was 26.2% and 22.3%, respectively. Only 15.2% of school children had an optimal Mediterranean diet. The waist-height ratio (WtHR) was the predictive variable with the highest adjusted OR 7.1 (4.3-11.6) and the largest area under the curve 0.954 (0.928-0.979), from a global cut-off value to discriminate obesity of 0.507. This gave a sensitivity of 90% and specificity of 87.2%. The high prevalence of obesity, the low-medium adherence to the Mediterranean diet and the low physical fitness make this population a priority target for the prevention of future cardiovascular events. The WtHR has been the best anthropometric predictor of obesity, recommending its use for the diagnosis of obesity in children at the expense of body mass index.

Published
2018

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