Autismo 3.0neurobiología, tecnología y educación en el trastorno del espectro autista

  1. Martínez Alcañiz, Inmaculada 1
  2. Moreno, Rosa Maria Esteban 1
  3. Blanchard Giménez, Mercedes 1
  1. 1 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

Revista:
MLS Inclusion and Society Journal

ISSN: 2794-087X

Año de publicación: 2021

Volumen: 1

Número: 1

Páginas: 7-24

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: MLS Inclusion and Society Journal

Resumen

In autism spectrum disorder (ASD) of neurobiological etiology, where multiple genes are involved. Despite the fact that its main pillars are based on the Wing triad, every day there are more variables that enter into autistic symptoms, such as sensory processing disorders (TPS). This great variability is what drives the development of various psychoeducational methodologies based on the main pillars of autism and th.at, to a greater or lesser extent, integrate various technologies, in order to develop adequate learning in children who develop ASD. Today's society is moving towards a fully technological society, and it is in the educational field where it is beginning to be seen most clearly. The question itself that looms on the horizon is whether this technology is being used appropriately for those children with special educational needs (SEN) such as children with ASD.

Referencias bibliográficas

  • American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders. DSM-IV. APA.
  • American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders. DSM-V. APA
  • Artigas, P. J., y Paula, I. (2012). El autismo 70 años después de Leo Kanner y Hans Asperger. Revista de la Asociación Española de Neuropsiquiatría, 32 (115), 567-587.
  • Auranen, M., Vanhala, R., Varilo, T., Ayers, K., Kempas, E., Ylisaukko-Oja, T. .... , y Järvelä, I. (2002). A genomewide screen for autism-spectrum disorders: evidence for a major susceptibility locus on chromosome 3q25-27. The American Journal of Human Genetics, 71(4), 777-790.
  • Ayres, A.J. (1972). Types of sensory integrative dysfunction among disabled learners. American Journal of Occupational Therapy.
  • Bailey, A., Le Couteur, A., Gottesman, I., Bolton, P., Simonoff, E., Yuzda, E., y Rutter, M. (1995). Autism as a strongly genetic disorder: evidence from a British twin study. Psychological medicine, 25(1), 63-77.
  • Baker, A. E., Lane, A., Angley, M. T., y Young, R. L. (2008). The relationship between sensory processing patterns and behavioral responsiveness in autistic disorder: A pilot study. Journal of autism and developmental disorders, 38(5), 867-875.
  • Baron Cohen, S. (2009). Autism: The Empathizing-Systemizing (ES) Theory. Annals of the New York Academy of Sciences, 1156 (1), 68-80.
  • Ben-Sasson, A., Hen, L., Fluss, R., Cermak, S. A., Engel-Yeger, B., y Gal, E. (2009). A meta-analysis of sensory modulation symptoms in individuals with autism spectrum disorders. Journal of autism and developmental disorders, 39(1), 1-11.
  • Bundy, A.C., Lane, S.J., y Murray, E. A. (2002). Sensory integration theory and practice (2nd ed.). F. A. Davis Company.
  • Buxbaum, J. D., Silverman, J. M., Smith, C. J., Kilifarski, M., Reichert, J., Hollander, E., ... y Davis, K. L. (2001). Evidence for a susceptibility gene for autism on chromosome 2 and for genetic heterogeneity. The American Journal of Human Genetics, 68(6), 1514-1520.
  • Calderón, L., Congote, C., Richard, S., Sierra, S., y Vélez, C. (2012). Aportes desde la teoría de la mente y de la función ejecutiva a la comprensión de los trastornos del espectro autista. Revista CES Psicología, 5(1), 77-90.
  • Canal, R., García, P., Touriño, E. y Santos, J. (2006). La detección precoz del autismo. Intervención Psicosocial, 15(1), 29-47.
  • Chapman, N. H., Estes, A., Munson, J., Bernier, R., Webb, S. J., Rothstein, J. H., ..., y Wijsman, E. M. (2011). Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16. Human genetics, 129(1), 59-70.
  • Chawarska, K., Klin, A., Paul, R., Macari, S., y Volkmar, F. (2009). A prospective study of toddlers with ASD: short-term diagnostic and cognitive outcomes. Journal of Child Psychology and Psychiatry, 50(10), 1235-1245.
  • De Rubeis, S., He, X., Goldberg, A. P., Poultney, C. S., Samocha, K., Cicek, A. E., ..., y Singh, T. (2014). Synaptic, transcriptional and chromatin genes disrupted in autism. Nature, 515 (7526), 209-215.
  • DeGangi, G. (2017). Pediatric disorders of regulation in affect and behavior: A therapist's guide to assessment and treatment. Academic Press, San Diego.
  • Díaz-Anzaldúa, A., y Díaz-Martínez, A. (2013). Contribución genética, ambiental y epigenética en la susceptibilidad a los trastornos del espectro autista. Revista Neurología, 57 (12), 556-568.
  • Fuentes-Biggi, J., Ferrari-Arroyo, M. J., Boada-Muñoz, L., Touriño-Aguilera, E., Artigas-Pallarés, J., Belinchón-Carmona, M., y Posada-De la Paz, M. (2006). Guía de buena práctica para el tratamiento de los trastornos del espectro autista. Revista neurología, 43(7), 425-38.
  • Heredero, E. S., y Carralero, A. O. (2014). Experiencias y recursos con las Tics para la atención al alumnado con necesidades educativas especiales.Acta Scientiarum. Education. julio-diciembre de 2014.Vol. 36, no. 2, p. 279-286.
  • Hernández J.M., Artigas-Pallarés J., Martos-Pérez J., Palacios-Antón S., Fuentes-Biggi J., Belinchón-Carmona M.,…, y Posada-De la Paz M. (2005). Guía de buena práctica para la detección temprana de los trastornos del espectro autista. Revista Neurología, 41, 237-245.
  • Howlin, P., Magiati, I., y Charman, T. (2009). Systematic review of early intensive behavioral interventions for children with autism. American journal on intellectual and developmental disabilities, 114(1), 23-41.
  • International Molecular Genetic Study of Autism Consortium - IMGSAC (2001). A genome wide screen for autism: strong evidence for linkage to chromosomes 2q, 7q, and 16p. The American Journal of Human Genetics, 69(3), 570-581.
  • Liu, K., Zerubavel, N., y Bearman, P. (2010). Social demographic change and autism. Demography, 47(2), 327-343.
  • López, B., y Leekam, S. R. (2007). Teoría de la coherencia central: una revisión de los supuestos teóricos. Infancia y Aprendizaje, 30(3), 439-457.
  • Malhi, P., y Singhi, P. (2011). Follow up of Children with Autism Spectrum Disorders: Stability and Change in Diagnosis. Indian Journal of Pediatric, 78 (8), 941-945.
  • Miller, L. J., Anzalone, M. E., Lane, S. J., Cermak, S. A., y Osten, E. T. (2007). Concept evolution in sensory integration: A proposed nosology for diagnosis. American Journal of occupational therapy, 61(2), 135-140.
  • Mulas, F., Ros-Cervera, G., Milá, M.G., Etchepareborda, C., Abad, L., y Téllez-Meneses, M. (2010) Modelos de intervención en niños con autismo. Rev Neurol, 50 (Supl 3),S77-S84.
  • Odom, S.L., Boyd, B.A., Hall, L. J., y Hume, K. (2010). Evaluation of comprehensive treatment models for individuals with autism spectrum disorders. Journal of autism and developmental disorders, 40(4), 425-436.
  • Pascuas-Rengifo, Y. S., Vargas-Jara, E. O., y Sáenz-Núñez, M. (2015). Tecnologías de la información y las comunicaciones para personas con necesidades educativas especiales. Entramado, 11(2), 240-248.
  • Philippe, A., Martinez, M., Guilloud-Bataille, M., Gillberg, C., Råstam, M., Sponheim, E.,..., y Paris Autism Research International Sibpair Study (1999). Genome-wide scan for autism susceptibility genes. Human molecular genetics, 8(5), 805-812.
  • Pickles, A., Bolton, P., Macdonald, H., Bailey, A., Le Couteur, A., Sim, C. H., y Rutter, M. (1995). Latent-class analysis of recurrence risks for complex phenotypes with selection and measurement error: a twin and family history study of autism. American journal of human genetics, 57(3), 717-726.
  • Reiner, A. (1990). The triune brain in evolution: Role in paleocerebral functions. Science, 250(4978), 303-306.
  • Risch, N., Spiker, D., Lotspeich, L., Nouri, N., Hinds, D., Hallmayer, J., ..., y Myers, R. M. (1999). A genomic screen of autism: evidence for a multilocus etiology. The American Journal of Human Genetics, 65(2), 493-507.
  • Roley, S. S., Blanche, E. I., y Schaaf, R. C. (2001). Understanding the nature of sensory integration with diverse populations. Pro-Ed. San Antonio: Therapy Skill Builders, 2001.
  • Shao, Y., Raiford, K. L., Wolpert, C. M., Cope, H. A., Ravan, S. A., Ashley-Koch, A. A., ..., y Pericak-Vance, M. A. (2002). Phenotypic homogeneity provides increased support for linkage on chromosome 2 in autistic disorder. The American Journal of Human Genetics, 70(4), 1058-1061.
  • Téllez-Vargas, J. (2006). Teoría de la mente: evolución, ontogenia, neurobiología y psicopatología. Avances en psiquiatría biológica, 7(1), 6-27.
  • Tomchek, S. D., y Dunn, W. (2007). Sensory processing in children with and without autism: a comparative study using the short sensory profile. American Journal of occupational therapy, 61(2), 190-200.
  • Watson, J.D., Baker, T.A., Bel, S.P., Gann, A., Levine, M., y Losic, R., (2008). Biología Molecular del Gen. Ed. Médica Panamericana.
  • Zwaigenbaum, L., Bryson, S., y Garon, N. (2013). Early identification of autism spectrum disorders. Behavioural Brain Research, 15 (251), 133-146.
  • Zwaigenbaum, L., Bryson, S., Lord, C., Rogers, S., Carter, A., Carver, L., ... , y Yirmiya, N. (2009). Clinical assessment and management of toddlers with suspected autism spectrum disorder: insights from studies of high-risk infants. Pediatrics, 123(5), 1383-1391.
Fuente de los datos: Dialnet