Manuel Ojea Rúa es Catedrático de Orientación Educativa (3492563057A0511). Doctor en Psicología- Pedagogía por la Universidad de Vigo. Especialista en Neuropsicología del Desarrollo. Psicólogo colegiado con el nº GX05862. Instituto Social de Investigación en Autismo (G44568509), situado en la Universidad de Vigo. Es autor de 54 libros, 214 Artículos en Revistas Científícas y numerosos Articulos en Prensa. https://orcid.org/my-orcid?orcid=0000-0002-9787-2520. mail: moxea@uvigo.es
Localización del Instituto de Investagaciones Científicas en Autismo, localizado en la Universidad d
Tuesday, 9 July 2024
Monday, 8 July 2024
BOOK CHAPTER: AUTISM SPECTRUM DISORDER SCALE-R
CONFERENCE PROCEDINGS
CIVINEDU 2024
EDUCATIONAL RESEARCH:
AUTISM SPECTRUM DISORDER SCALE- REVISED (pp. 10-16. July, 2024).
By Manuel Ojea Rúa
ISBN 978-84-126060-2-7.
DOI: https://doi.org/10.58909/adc24377766
Saturday, 15 June 2024
ANÁLISIS PREDICTIVO DE LOS COMPONENTES PRINCIPALES QUE CONFIGURAN EL TRASTORNO DEL ESPECTRO AUTISTA
PREDICTIVE ANALYSIS OF THE PRINCIPAL COMPONENTS THAT CONFIGURE AUTISTIC SPECTRUM DISORDER
Por Manuel Ojea Rúa
European Journal of Theoretical and Applied Sciences, 2(3), 779-791. 2024
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Abstract
At currently, developments regarding to autism spectrum disorder have enabled its diagnostic group to be defined as a multilateral neurodevelopmental disorder characterised by peculiarities in the procedural functioning of perceptual-cognitive parameters, derived from a characteristic connexional form in the pathway of interconnection between intrinsic information and contextual stimuli. In this characteristic process, neuronal networks are involved a fundamental processing task for working memory to be able to perform the set of executive functions with a certain degree of stability, which is severely limited in people diagnosed with this disorder. In this study, the reports of 403 participants diagnosed with the disorder were analysed with the following basic goals: 1) to analyse the relationship between relational deficits and the elaboration of semantic content, 2) to analyse the etiological attribution of the GABAergic pathway responsible for the limitations in these connections and, consequently, 3) to conclude the main predictive-explanatory level of this disorder. The data have been found by means of different statistical tests, both initial correlational tests, statistical calculation processes, univariate one-factor ANOVA tests and final consequential ordinal multinomial logit regression tests. Data found allow us to delimit that the regression equation of the model fitting information explaining the disorder shows a final logit model chi-square: 217.23, with a significant associated critical level (sig: .00), which are complemented by the significantly positive Pearson and Deviance data significantly related to the logit level (sig: .00), which confirms the importance of the predictive-explicative level of the neuronal and semantic variables derived from the GABAergic limitations in order to be able to be converted into the main propositional components of autism as a highly related neurocognitive systemic process.
Tuesday, 28 May 2024
TRASTORNO DEL ESPECTRO AUTISTA: ROMPIENDO MUROS
LIBRO PUBLICADO POR EDITORIAL CLUB UNIVERSITARIO (Alicante, mayo 2024)
ISBN: SKU 978-84-127042-4-2
AUTOR: Manuel Ojea Rúa
Páginas: 428
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Trastorno del espectro autista: rompiendo muros:
Wednesday, 22 May 2024
AUTISM SPECTRUM DISORDER DIAGNOSTIC SCALE- REVISED
Autism spectrum disorder diagnostic scale - revised
PhD. Manuel Ojea Rúa
University of Vigo
Abstract
Empirical progress in the conceptual ambit of autism spectrum disorder configures the propositional content of this disorder on the basis of the presence of specific deficits in the transmission of information, owing to limitations in the elaboration of inter-informational relational neural- nodes, which impairs the executive-cognitive dimension at the semantic level. In this sense, the perceptual-cognitive system of neuro-psycho-biological information processing is the basic explanatory element of the disorder, which influences observable social- behaviours, as highlighted in currently international classifications. However, most diagnostic scales and tests are based almost exclusively on observable socio-behavioural behaviours, so the aim of this study is to construct a diagnostic scale based on the perceptual-cognitive principles of the global cyclical theory in order to more effectively delimit the diagnostic level of the disorder.
Keywords: Autism Spectrum Disorder, Diagnosis, Neural Networks, Global Theory.
Escala de diagnóstico del trastorno del espectro autista- revisada
Resumen
Los avances empíricos en el ámbito conceptual del trastorno del espectro autista, configuran el contenido proposicional de este trastorno en base a la presencia de déficits específicos en la transmisión de la información, debido a las limitaciones en la elaboración nodos neurales relacionales inter- informativos, lo que dificulta la dimensión ejecutivo- cognitiva a nivel semántico. En este sentido, el sistema perceptivo- cognitivo del procesamiento neuropsico- biológico de la información conforma el elemento explicativo básico del trastorno, el cual influye sobre los criterios socio- conductuales observables, recogidas por las actuales clasificaciones internacionales. Sin embargo, la mayoría de las escalas y test de diagnóstico se basan casi exclusivamente en las conductas socio- conductuales observables, por lo que el objetivo de este estudio es construir una escala de diagnóstico, basada en los principios perceptivo- cognitivos de la teoría cíclica global para delimitar con mayor eficacia el nivel de diagnóstico del trastorno.
Palabras clave: Trastorno del Espectro Autista, Diagnóstico, Relaciones–Neurales, Teoría Global.
https://www.civinedu.org/conference/400-to-600-p-m-virtual-presentations-s1a/s1a2-autism-spectrum-disorder-diagnostic-scale-revised/#post-6131
Localización oficial del Instituto de Investivación Científica en Autismo (G-44568509).
Localización del Instituto de Investagaciones Científicas en Autismo, localizado en la Universidad de Vigo.






