Thursday 28 March 2024

ESCALA DE DIAGNÓSTICO- REVISADA (DIAGNOSTIC SCALE-REVISED)


Autism Spectrum Disorder Diagnostic Scale- Revised. 

European Journal of Theoretical and Applied Sciences, 2(2), 382-395.


 Manuel Ojea Rúa


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Abstract 


The main aim of this study is to empirically prove the Diagnostic Accuracy Scale to diagnosis of people with autism spectrum disorders (ASD), the sample of participants has been extended, paying special attention to students over 14 years of age, adapting the activities and, therefore, the indices-criteria of the observation factors. A total of 94 students have participated in the study, whose coded data allow us to corroborate the data found in the initial scale, facilitating a precise and exhaustive diagnosis of the disorder by levels.

The diagnostic conclusions were based on the gaussian curve found from the typical scores obtained from the direct scores obtained in the ten dimensions of the analysis, made up of three dimensional categories, whose percentage weighting is as follows: 1) the procedural category (60%), 2) the social dimensional category (20%), and 3) the behavioural dimensional category (20%), the overall sum of which allows the diagnostic conclusions of the disorder to be drawn, both at a general level and according to the specific level of ASD. The percentage levels are justified by the empirical studies of the study. Thus, the stepwise linear regression analysis carried out includes two dimensions corresponding to the procedural category as basic predictors of the disorder: I) semantic retrieval (Beta: .90, R2: .82), and II) relationship between retrieval (Beta: .57) and interconcepts or relationships (R2: .82). 57) and interconcepts or relationships between information (Beta: .35), being the overall constant (Beta: .92, R2: .84), ahead of the social or behavioural dimensions, which supports the importance of the procedural dimension, especially related to the development of nodes or relationships between information content in determining the specific criteria for the diagnosis of ASD.


Keywords: Autism Spectrum Disorder, Diagnosis, Cognitive Networks, Global Theory.

Keywords:
Autism Spectrum Disorder, Diagnosis, Cognitive Networks, Global Theory
Keywords:
Autism Spectrum Disorder, Diagnosis, Cognitive Networks, Global Theory

Keywords:
Autism Spectrum Disorder, Diagnosis, Cognitive Networks, Global Theory

References

American Psychiatric Association (APA) (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Arlington, VA. https://psychiatry.org/psychiatrists/practice/dsm

Barnea-Goraly, N., Eliez, S., Hedeus, M., Menon, V., White, C. D., Moseley, M., & Reiss A. L. (2003). White matter tract alterations in fragile X syndrome: preliminary evidence from diffusion tensor imaging. Am J Med Genet B, 118, 81–88. DOI: 10.1002/ajmg.b.10035

Biederman, J., Spencer, T. J., Petty, C., Hyder, L. L., O’Connor, K. B., Surman, C. B., & Faraone, S. V. (2012). Longitudinal course of deficient emotional self-regulation CBCL profile in youth with ADHD: prospective controlled study. Neuropsychiatric Disease and Treatment, 8, 267–276. DOI:10.2147/NDT.S29670.  https://pubmed.ncbi.nlm.nih.gov/22848182/

Brunberg, J.A., Jacquemont, S., Hagerman, R. J., Berry-Kravis, E. M., Grigsby, J., Leehey, M. A., ... & Hagerman, P. J. (2002). Fragile X permutation carriers: characteristic MR imaging findings of adult male patients with progressive cerebellar and cognitive dysfunction. Am J Neuroradiol, 23, 1757–1766. https://pubmed.ncbi.nlm.nih.gov/12427636/

Eycke, K. D., & Müller, U. (2018). Drawing links between the autism cognitive profile and imagination:  executive function and processing bias in imaginative drawings by children with and without autism, Autism, 22(2), 149–160. DOI: 10.1177/1362361316668293. https://pubmed.ncbi.nlm.nih.gov/29490482/

Gotham, K. O, Marvin, A. R., Taylor, J. L., Warren, Z., Anderson, C. M., Law, P. A., ... & Lipkin, P. H. (2015). Characterizing the daily life, needs, and priorities of adults with autism spectrum disorder from interactive autism network data. Autism, 19(7), 794-804. https://pubmed.ncbi.nlm.nih.gov/25964655/

Hardan, A. Y., Minshew, N. J., & Keshavan, M. S. (2000). Corpus callosum size in autism. Neurology, 55, 1033–1036. DOI: 10.1212/wnl.55.7.1033

Heatherton, T. F. (2011). Neuroscience of self and self- regulation. Annual Review of Psychology, 62, 363–390. DOI:10.1146/annurev.psych.121208.131616. Neuroscience of self and self-regulation. (apa.org)

Hessl, D., Rivera, S. M., & Reiss, A. L. (2004). The neuroanatomy and neuroendocrinology of fragile X syndrome. Ment Retard Dev Disabil Res Rev, 10, 17–24. DOI: 10.1002/mrdd.20004

Jacquemont, S., Hagerman, R. J., Leehey, M., Grigsby, J., Zhang, L., Brunberg, J. A., ... & Hagerman, P. J. (2003). Fragile X permutation tremor/ataxia syndrome: molecular, clinical, and neuroimaging correlates. Am J Hum Genet, 72, 869–878. DOI: 10.1086/374321

Kates, W. R., Folley, B. S., Lanham, D. C., Capone, G. T., & Kaufmann, W. E. (2002). Cerebral growth in Fragile X syndrome: review and comparison with Down syndrome. Microsc Res Tech, 57,159–167. DOI: 10.1002/jemt.10068

Keenan, E. G., Gotham, K., & Lerner, M. D. (2018). Hooked on a feeling: Repetitive cognition and internalizing symptomatology in relation to autism spectrum symptomatology. Depression, 22(7), 814-824. https://pubmed.ncbi.nlm.nih.gov/28747070/

Mazefsky, C. A., Collier, A., Golt, J., & Siegle; G. J. (2020). Neural features of sustained emotional information processing in autism spectrum disorder. Autism, 24(4) 941–953. DOI: 10.1177/1362361320903137. Neural features of sustained emotional information processing in autism spectrum disorder - PubMed (nih.gov)

Mazefsky, C. A., Herrington, J., Siegel, M., Scarpa, A., Maddox, B. B., Scahill, L., & White, S. W. (2013). The role of emotion regulation in autism spectrum disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 52, 679–688. DOI:10.1016/j.jaac.2013.05.006. The role of emotion regulation in autism spectrum disorder - PubMed (nih.gov)

Mazefsky, C. A., Pelphrey, K. A., & Dahl, R. E. (2012). The need for a broader approach to emotion regulation research in autism. Child Development Perspectives, 6(1), 92–97. https://doi.org/10.1111/j.1750-8606.2011.00229.x

Mottron, L., Dawson, M., Soulières, I., Hubert, B., & Burack, J. (2006). Enhanced perceptual functioning in autism: An update, and eight principles of autistic perception. Journal of Autism and Developmental Disorders, 36(1), 27–43. DOI: 10.1007/s10803-005-0040-7

Ojea, M. (2023). Autism: New Conceptual Propositional Hypothesis. European Journal of Theoretical and Applied Sciences, 1(6), 115-124. DOI: 10.59324/ejtas.2023.1(6).1. https://ejtas.com/index.php/journal/article/view/437https://urldefense.com/v3/__https://doi.org/10.47191/rajar/v9i11.02__;!!D9dNQwwGXtA!Wf1YF2svOKrdruFpxQZ0fbl2ooOJV6K0bHIkBwP09Xv-DhCXgKpevaG-bGT5rFObD-7Xuof44hAgZHEdgPs$

Ojea, M. (2024a). Escala perceptivo- cognitiva de diagnóstico del trastorno del espectro autista revisada (EPPC-TEA-R). Registro de la propiedad intelectual: REGAGE23e00084280417. ISBN-13: 978-84-09-59160-2. Ediciones: Kindle Direct Publishing. https://www.amazon.es/dp/B0CW1L8BTH

Ojea, M. (2024b). Autism Perceptual- Behavioural Precision Scale. European Journal of Theoretical and Applied Sciences, 2(1), 18-45. DOI: 10.59324/wjtas.2024.2(1).02. https://ejtas.com/index.php/journal/article/view/555

Ojea, M. (2024c). Escala perceptivo- cognitiva de diagnóstico del trastorno del espectro autista revisada (EPPC-TEA-R). Amazón esp.: Kindle Direct Publishing. https://www.amazon.es/dp/B0CW1L8BTH

Oldehinkel, M., Mennes, M., Marquand, A., Charman, T., Tillmann, J., Ecker, C., … & Buitelaar, J. K. (2019). Altered connectivity between cerebellum, visual, and sensory-motor networks in autism spectrum disorder: results from the EU-AIMS longitudinal European autism project. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4, 260–270. DOI: 10.1016/j.bpsc.2018.11.010. Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project - PubMed (nih.gov)

Pitskel, N. B., Bolling, D. Z., Kaiser, M. D., Pelphrey, K. A., & Crowley, M. J. (2014). Neural systems for cognitive reappraisal in children and adolescents with autism spectrum disorder. Developmental Cognitive Neuroscience, 10, 117–128. DOI: 10.1016/j.dcn.2014.08.007. Neural systems for cognitive reappraisal in children and adolescents with autism spectrum disorder - PubMed (nih.gov)

Shehzad, Z., Kelly, C., Reiss, P. T., Cameron- Craddock, R., Emerson, J. W., McMahon, K., ... & Milham, M. P. (2014). A multivariate distance-based analytic framework for connectome- wide association studies. Neuroimage, 93, 74–94. DOI:10.1016/j.neuroimage.2014.02.024. [PDF] A multivariate distance-based analytic framework for connectome-wide association studies | Semantic Scholar

Siegle, G. J., D’Andrea, W., Jones, N., Hallquist, M. N., Stepp, S. D., Fortunato, A., … & Pilkonis, P. A. (2015). Prolonged physiological reactivity and loss: Association of pupillary reactivity with negative thinking and feelings. International Journal of Psychophysiology, 98(2), 310–320. https://doi.org/10.1016/j.ijpsycho.2015.05.009

Weiss, J. A., Thomson, K., & Chan, L. (2014). A systematic literature review of emotion regulation measurement in individuals with autism spectrum disorder. Autism Res, 7(6), 629–48. https://pubmed.ncbi.nlm.nih.gov/25346416/

World Health Organization. (1992). ICD 10: Mental and behavioral disorders: Clinical descriptions and guidelines for follow-up. World Health Organization. United Nations Organization (UN). https://www.who.int/publications/i/item/9241544228

World Health Organization. (2020). ICD 11-R: Mental and behavioral disorders: clinical descriptions and guidelines for follow-up. World Health Organization. United Nations Organization (UN). https://icd.who.int/en


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