44 research outputs found

    Implementation of an Artificial Neural Network on the Test Barcelona Workstation As a Predictive Model for the Classification of Normal, Mild Cognitive Impairment and Alzheimer’s Disease Subjects Using the Neuronorma Battery

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    Objective: To develop and implement an online Artificial Neural Network (ANN) that provides the probability of a subject having mild cognitive impairment (MCI) or Alzheimer’s disease (AD). Method: Different ANNs were trained using a sample of 350 controls (CONT), 75 MCI and 93 AD subjects. The ANN structure chosen was the following: (1) an input layer of 33 cognitive variables from the Neuronorma battery plus two sociodemographic variables, age and education. This layer was reduced to a 15 features input vector using Multiple Discriminant Analysis method, (2) one hidden layer with 8 neurons, and (3) three output neurons corresponding to the 3 expected cognitive states. This ANN was defined in a previous study [28]. The ANN was implemented on the web site www.test-barcelona.com (Test Barcelona Workstation) [9]. Results: When comparing CONT, MCI and AD participants, the best ANN correctly classifies up to 94,87% of the study participants. Conclusions: The online implemented ANN, delivers the probabilities (%) of belonging to the CONT, MCI and AD groups of a subject assessed using the 35 characteristics (variables) of the Neuronorma profile. This tool is a good complement for the interpretation of cognitive profiles. This technology improves clinical decision making. Keywords: Artificial Neural Network, Probability, Alzheimer disease, Test Barcelona Workstation

    The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

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    This paper documents the 16th data release (DR16) from the Sloan Digital Sky Surveys (SDSS), the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the Southern Hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and all raw and reduced spectra from that project are released here. DR16 also includes all the data from the Time Domain Spectroscopic Survey and new data from the SPectroscopic IDentification of ERosita Survey programs, both of which were co-observed on eBOSS plates. DR16 has no new data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey (or the MaNGA Stellar Library "MaStar"). We also preview future SDSS-V operations (due to start in 2020), and summarize plans for the final SDSS-IV data release (DR17)

    The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

    Get PDF
    This paper documents the 16th data release (DR16) from the Sloan Digital Sky Surveys (SDSS), the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the Southern Hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and all raw and reduced spectra from that project are released here. DR16 also includes all the data from the Time Domain Spectroscopic Survey and new data from the SPectroscopic IDentification of ERosita Survey programs, both of which were co-observed on eBOSS plates. DR16 has no new data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey (or the MaNGA Stellar Library "MaStar"). We also preview future SDSS-V operations (due to start in 2020), and summarize plans for the final SDSS-IV data release (DR17)

    The 16th Data Release of the Sloan Digital Sky Surveys : First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

    Get PDF
    This paper documents the 16th data release (DR16) from the Sloan Digital Sky Surveys (SDSS), the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the Southern Hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and all raw and reduced spectra from that project are released here. DR16 also includes all the data from the Time Domain Spectroscopic Survey and new data from the SPectroscopic IDentification of ERosita Survey programs, both of which were co-observed on eBOSS plates. DR16 has no new data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey (or the MaNGA Stellar Library "MaStar"). We also preview future SDSS-V operations (due to start in 2020), and summarize plans for the final SDSS-IV data release (DR17).Peer reviewe

    Implementation of an Artificial Neural Network on the Test Barcelona Workstation as A Predictive Model for the Classification of Normal, Mild Cognitive Impairment and Alzheimer's Disease Subjects Using the Neuronorma Battery

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    Objective: To develop and implement an online Artificial Neural Network (ANN) that provides the probability of a subject having mild cognitive impairment (MCI) or Alzheimer's disease (AD). Method: Different ANNs were trained using a sample of 350 controls (CONT), 75 MCI and 93 AD subjects. The ANN structure chosen was the following: (1) an input layer of 33 cognitive variables from the Neuronorma battery plus two sociodemographic variables, age and education. This layer was reduced to a 15 features input vector using Multiple Discriminant Analysis method, (2) one hidden layer with 8 neurons, and (3) three output neurons corresponding to the 3 expected cognitive states. This ANN was defined in a previous study [28]. The ANN was implemented on the web site www.test-barcelona.com (Test Barcelona Workstation) [9]. Results: When comparing CONT, MCI and AD participants, the best ANN correctly classifies up to 94,87% of the study participants. Conclusions: The online implemented ANN, delivers the probabilities (%) of belonging to the CONT, MCI and AD groups of a subject assessed using the 35 characteristics (variables) of the Neuronorma profile. This tool is a good complement for the interpretation of cognitive profiles. This technology improves clinical decision making. Keywords: Artificial Neural Network, Probability, Alzheimer disease, Test Barcelona Workstation

    Caracterización de las lesiones nerviosas asociadas a los abortos en la fase aguda de la toxoplasmosis ovina

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    Comunicación oral presentada a la: XXX Reunión de la Sociedad Española de Anatomía Patológica Veterinaria (SEAPV). San Pedro del Pinatar, Murcia, 13-15 junio 2018.La forma aguda de la toxoplasmosis es una presentación clínica poco conocida que se ha descrito recientemente en infecciones experimentales de ovejas gestantes con Toxoplasma gondii en la que el aborto tiene lugar entre los 7 y los 14 días post-infección en ausencia del parásito en el feto o placenta, por lo que, en condiciones naturales, su diagnóstico es difícil. Hasta el momento, se han descrito casos esporádicos en los que la principal lesión encontrada ha sido la leucomalacia multifocal en el encéfalo de los fetos afectados. En este trabajo, se pretende realizar un estudio detallado de las lesiones encontradas en el sistema nervioso central de 28 abortos ovinos ocurridos en la fase aguda de la toxoplasmosis. Se llevó a cabo su caracterización en cuanto a localización, extensión y modificaciones de las poblaciones celulares (astrocitos, oligodendrocitos y microglia) asociadas mediante métodos histológicos convencionales e inmunohistoquímicos y análisis digital de imagen. La inmunotinción de la proteína precursora del β-amiloide permitió identificar áreas de leucomalacia fetal en un número mayor de secciones que la tinción con HE. Prácticamente la totalidad de las 4 secciones estudiadas en cada encéfalo, realizadas a nivel del cuerpo calloso, capsula interna, mesencéfalo y cerebelo presentaron leucomalacia y la extensión del área afectada llegó a alcanzar el 30% en algunas muestras. En cuanto a las poblaciones celulares, , un primer análisis de imagen llevado a cabo a pocos aumentos (x4) no mostró diferencias significativas entre animales infectados y no infectados. En un segundo análisis se empleó una técnica de doble tinción inmunohistoquímica que permitió visualizar simultáneamente la leucomalacia y las distintas poblaciones celulares. Las lesiones fueron analizadas a 200x, demostrándose una mayor cantidad de microglía y una evidente pérdida de oligodendrocitos en la lesión, así como una moderada astrocitosis en la zona adyacente, respecto a las mismas áreas de muestras de animales sanos. En cuanto al neuropilo adyacente a la lesión se observó astrocitosis, y un menor número de oligodendrocitos, al igual que en las zonas de lesión, respecto a los controles sanos. El presente trabajo ha permitido caracterizar las lesiones observadas en encéfalos fetales procedentes de abortos durante la fase aguda de la infección por T. gondii y pone de manifiesto que las células de la glía sufren variaciones asociadas a la lesiónEste trabajo ha sido financiado por los proyectos de Investigación AGL2016-75935-C2-2-R y LE080U16Peer reviewe
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