Tuesday 26 December 2023

AUTISM´ DIAGNOSIS

 

Interrelations between perceptive- cognitive factors and behavioural variables to level diagnosis of people with autism spectrum disorder. RA Journal of Applied Research, 9(11), 540- 548. 


Manuel Ojea Rúa (2023).




ACCEDER AL ARTÍCULO COMPLETO

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ABSTRACT

Relationships analysis between perceptual-cognitive factors and behavioural variables it makes up autism spectrum disorder (ASD) differential specific diagnosis, constitute a fundamental recurrent of currently research, then found data allow the construction of integrated evaluation scales to validate more complete and reliable diagnosis of people with ASD.

The interdimensional diagnostic Scale has been applied and coded for 10 dimensions: 1) conceptual units, 2) signifiers, 3) hierarchy, 4) nodal relationships, 5) categorical relationships, 6) Recovery, 7) social interaction, 8) social communication, 9) stereotypical behaviours, and 10) restrictive behaviours.

A total of 75 participants with ASD have participated in this study of three ASD´ intensity levels and different age intervals, from 3 years old.

Data analyses focused along study the factorial analysis determinant (KMO and Bartlett's test) statistic, as well as, bivariate correlations analysis for three dimensions calculated statistically: "processing", "social" and "behaviours", show significant critical inter-relational levels (sig: .00), which allows conclude to existence of highly relationships between both variables group and their practical applications for consequent, reliable and valid diagnosis process.

Finally, the statistical data of your application to perform the level diagnostic analysis is completed, through corresponding statistical percentage, means and standard deviations, to facilitate the ASD level 1-2-3 diagnostic way.

 

REFERENCES

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Baisa, A., Mevorach, C., & Shalev, L. (2021). Hierarchical processing in ASD is driven by exaggerated salience effects, not local bias. Journal of Autism and Developmental Disorders, 51(2), 666-676. https://doi.org/10.1007/s10803-020-04578-1

Bathelt, J., & Geurts, H.M. (2021). Difference in default mode network subsystems in autism across childhood and adolescence. Autism, 25(2) 556-565. DOI:10.1177/1362361320969258

Bennett, T. A., Szatmari, P., Georgiades, K.Hanna, S., Janus, M., Georgiades, S., ... & Thomson, A. (2015). Do reciprocal associations exist between social and language pathways in preschoolers with autism spectrum disorders? Journal of Child Psychology and Psychiatry, 56(8), 874-883. http://dx.doi.org/10.1111/jcpp.12356

Botting, N., & Adams, C. (2005). Semantic and inferencing abilities in children with communication disorders. International Journal of Language and Communication Disorders, 40(1), 49-66. http://taylorandfrancis.metapress.com/link.asp?target=contribution&id=R092EJRQC636XB1F 

Brignell, A., Williams, K., Jachno, K., Prior, M., Reilly, S., & Morgan, A. T. (2018). Patterns and predictors of language development from 4 to 7 years in verbal children with and without autism spectrum disorder. Journal of Autism and Developmental Disorders, 48(10), 3282-3295. http://dx.doi.org/10.1007/s10803-018-3565-2 

Buckner, R. L., & DiNicola, L. M. (2019). The brain’s default network: Updated anatomy, physiology and evolving insights. Nature Reviews Neuroscience, 20(10), 593-608. https://doi.org/10.1038/s41583-019-0212-7

Cain, K., & Oakhill, J. (Eds.) (2007). Children's comprehension problems in oral and written language: A cognitive perspective. Challenges in language and literacy. New York, NY: Guilford Publications. http://www.guilford.com 

Eigsti, I.M., & Irvine, Ch.A. (2021). Verbal mediation of theory of mind in verbal adolescents with autism spectrum disorder. Language acquisition, 28(2), 195-213. https://doi.org/10.1080/10489223.2021.1877705

Falck-Ytter, T., Nyström, P., Gredebäck, G., Gliga, T., & Bölte, S. (2018). Reduced orienting to audiovisual synchrony in infancy predicts autism diagnosis at 3 years of age. Journal of Child Psychology and Psychiatry, 59(8), 872-880. DOI: 10.1111/jcpp.12863

Kelley, E., Paul, J. J., Fein, D., & Naigles, L. R. (2006). Residual language deficits in optimal outcome children with a history of Autism. Journal of Autism and Developmental Disorders, 36(6), 807-828. http://dx.doi.org/10.1007/s10803-006-0111-4 

Lawrence, C., Collyer, E., & Poulson, M. (2021).  “Howling at the scrabble-board”: exploring classroom literature from an autistic viewpoint. Research Journal of the National Association for the Teaching of English, 55(2), 164-176. https://doi.org/10.1080/04250494.2020.1801345

Mayer, J. L. (2017). The relationship between autistic traits and atypical sensory functioning in neurotypical and ASD adults: A spectrum approach. Journal of Autism and Developmental Disorders, 47(2), 316-327. DOI: 10.1007/s10803-016-2948-5

McCormick, C., Hepburn, S., Young, G. S., & Rogers, S. J. (2016). Sensory symptoms in children with autism spectrum disorder, other developmental disorders and   typical development: A longitudinal study. Autism, 20(5), 572-579. DOI: 10.1177/1362361315599755

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

Nyström, P., · Jones, E., Darki, F., Bölte, S., & Falck‑Ytter, T. (2021). Atypical Topographical Organization of Global Form and Motion Processing in 5‑Month‑Old Infants at Risk for autism. Journal of Autism and Developmental Disorders, 51, 364-370. https://doi.org/10.1007/s10803-020-04523-2

Nyström, P., Gliga, T., Jobs, E. N., Gredebäck, G., Charman, T., Johnson, M. H., … & Falck-Ytte, T. (2018). Enhanced pupillary light reflex in infancy is associated with autism diagnosis in toddlerhood. Nature Communications, 9(1), 1678. https://www.nature.com/articles/s41467-018-03985-4.pdf

Ojea, M. (2018). RELATE program. Development of conceptual categories in students with autism spectrum disorders. Madrid: Pirámide. https://www.edicionespiramide.es/libro.php?id=5151744

Ojea, M., & Tellado, M. (2018). Semantic Integration Evaluation Scale (SIS) for children with autism spectrum disorder. Open Access Journal of Addiction and Psychology, 1(3), 1-6.  (2018). https://irispublishers.com/oajap/pdf/OAJAP.MS.ID.000514.pdf

Ojea, M. (2023). Perceptual- Behavioural Precision Scale (EP- PC- TEA). Lima, Peru: Barcelona Editions. https://www.facebook.com/EdicionesBarcelonaPeru/?locale=es_LA

Padmanabhan, A., Lynch, C. J., Schaer, M., & Menon, V. (2017). The default mode network in autism. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(6), 476-486. https://doi.org/10.1016/j.bpsc.2017.04.004

Penner, M., Anagnostou, E., Andoni, L. Y., & Ungar, W. J. (2018). Systematic review of clinical guidance documents for autism spectrum disorder, diagnostic assessment in select regions. Autism: The International Journal of Research and Practice, 22(5), 517-527. http://dx.doi.org/10.1177/1362361316685879 

Robertson, C. E., & Baron-Cohen, S. (2017). Sensory perception in autism. Nature Reviews Neuroscience, 18(11), 671. https://www.nature.com/articles/nrn.2017.112

Stothers, M. E.Cardy, J., & Oram (2012). Oral language impairments in developmental disorders characterized by language strengths: A comparison of Asperger Syndrome and Nonverbal Learning Disabilities. Research in Autism Spectrum Disorders, 6(1), 519-534. http://dx.doi.org/10.1016/j.rasd.2011.07.013 

Uljarević, M., Baranek, G., Vivanti, G., Hedley, D., Hudry, K., & Lane, A. (2017). Heterogeneity of sensory features in autism spectrum disorder: Challenges and perspectives for future research. Autism Research, 10(5), 703-710. DOI: 10.1002/aur.1747

Wigham, S., Rodgers, J., South, M., McConachie, H., & Freeston, M. (2015). The interplay between sensory processing abnormalities, intolerance of uncertainty, anxiety and restricted and repetitive behaviours in autism spectrum disorder. Journal of Autism and Developmental Disorders, 45(4), 943-952.  https://doi.org/10.1007/s10803-014-2248-x


Wednesday 6 December 2023

PRESENTACIÓN DE LA ESCALA DE PRECISIÓN DIAGNÓSTICA PERCEPTIVO- CONDUCTUAL DE DIAGNÓSTICO DEL TEA

PRESENTACIÓN DE LA ESCALA DE PRECISIÓN DIAGNÓSTICA DEL TRASTORNO DEL ESPECTRO DEL AUTISMO

Prof. Dr. Manuel Ojea 
(moxea@uvigo.gal)





 

Tuesday 21 November 2023

AUTISM: NEW CONCEPTUAL PROPOSITIONAL HYPOTHESIS

M. Ojea (2023)



Abstract:

The initial sensory- attention perceptual processing in people with autism spectrum disorder forms a global analysis, but semantic content is limited, therefore, they need to complete their semantic understanding, through second analysis with purpose to encode a greater number of local details, units and/ or conceptual categories. This cognitive action developed through relational connections with concepts previously stored in permanent memory (semantic memory). Study has been designed a qualitative- quantitative triangulated way. The qualitative analysis is based on a textual- conceptual perceptual and visual-perceptual study, while the quantitative analysis has been achieved through non- parametric statistical comparative tests regarding to the grouped variable: “participants”. A total of 10 participants have collaborated in this study, 5 neurotypical participants and 5 participants with autism spectrum disorder, aged between 16-17 years old. The comparative analysis allows delimit partial differential aspects throughout study variables, according to participants´ group variable and, hence, the development of a new cognitive- perceptive theory of specific propositional processing to people with autism: Global Cyclic Theory has been concluded. 

KeywordsAutism spectrum disorder, Attention-cognition-perception, Semantic memory, Conceptual propositional theory.


References:

Allen, M. L., & Chambers, A. (2011). Implicit and explicit understanding of ambiguous figures by adolescents with autism spectrum disorder. Autism, 15(4), 457–472. https://doi.org/10.1177/1362361310393364

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777342/

Caron, M. J., Mottron, L., Berthiaume, C., & Dawson, M. (2006). Cognitive mechanisms, specificity and neural underpinnings of visuospatial peaks in autism. Brain, 129, 1789–802. https://pubmed.ncbi.nlm.nih.gov/16597652/

Frith, C. (2004). Is autism a disconnection disorder? The Lancet Neurology, 3(10), 577. https://doi.org/10.1016/s1474-4422(04)00875-0

Frith, U. (1989). Autism: Explaining the enigma. Oxford: Blackwell.

Happé, F. G. (1999). Autism: Cognitive deficit or cognitive style? Trends in Cognitive Sciences, 3(6), 216–222. https://doi.org/10.1016/s1364-6613(99)01318-2

Happé, F., & Frith, U. (2006). The weak central coherence account: Detail-focused cognitive style in autistic spectrum disorders. Journal of Autism and Developmental Disorders, 36, 5–25. https://doi.org/10.1007/s10803-005-0039-0

Heaton, P., Pring, L., & Hermelin, B. (1999). A pseudo- savant: A case of exceptional musical splinter skills. Neurocase, 5, 503–509. http://dx.doi.org/10.1080/13554799908402745

Heaton, P., Williams, P., Cummins, O., & Happé, F. (2008). Autism and pitch processing splinter skills. A group and subgroup analysis. Autism, 12(2), 203–219. https://doi.org/10.1177/1362361307085270

Jolliffe, T., & Baron-Cohen, S. (2001). A test of central coherence theory: Can adults with high- functioning autism or Asperger syndrome integrate objects in context? Visual Cognition, 8, 67–101. https://doi.org/10.1080/13546800042000124

Kern, J., Trivedi, M., Garver, C., Grannemann, B., Andrews, A., Savla, J., ... & Schroeder, J. (2006). The pattern of sensory processing abnormalities in autism. Autism, 10(5), 480–494. https://doi.org/10.1177/1362361306066564

Mottron, L., & Burack, J.A. (2001). Enhanced perceptual functioning in the development of Autism. In J. A. Burack, T. Charman, N. Yirmiya & P. R. Zalazo (eds.), The development of autism: Perspectives from theory and research (pp. 131–48). Mahwah, NJ: Erlbaum. 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. https://doi.org/10.1007/s10803-005-0040-7

Ojea, M. (2017). Autisms spectrum disorder. Perceptual- cognitive information processing throughout of semantic networks creation. Madrid: Pirámide Ed.

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Rinehart, N. J., Bradshaw, J. L., Moss, S. A., Brereton, A. V., & Tonge, B. J. (2000). Atypical interference of local detail on global processing in high-functioning autism and Asperger’s disorder. The Journal of Child Psychology and Psychiatry, 41(6), 769–78.

Rinehart, N., Bradshaw, J., Moss, S., Brereton, A., & Tonge, B. (2001). A deficit in shifting attention present in high- functioning autism but not Asperger’s disorder. Autism, 5(1) 67–80. https://doi.org/10.1177/1362361301005001007

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Sheppard, E., Ropar, D., & Mitchell, P. (2009). Perceiving the impossible: How individuals with autism copy paradoxical figures. Autism, 13(4), 435–452. https://doi.org/10.1177/1362361309105661

Wainwright, J. A., & Bryson, S. E. (1996). Visual- spatial orienting in Autism. Journal of Autism and Developmental Disorders, 26(4), 423–38. https://doi.org/10.1007/bf02172827

Watling, R. I., Deitz, J., & White, O. (2001). Comparison of sensory profile scores of young children with and without autism spectrum disorders. American Journal of Occupational Therapy, 55(4), 416–23. https://doi.org/10.5014/ajot.55.4.416

World Health Organization. (1993). ICD-10, the ICD-10 classification of mental and behavioural disorders: diagnostic criteria for research. World Health Organization. Retrieved from https://iris.who.int/bitstream/handle/10665/37108/9241544554.pdf?sequence=1

Wednesday 25 October 2023

COGNICIÓN Y AUTISMO (COGNITION AND AUTISM)

 NUEVA TEORÍA PROPOSICIONAL DEL FUNCIONAMIENTO EJECUTIVO EN PERSONAS CON AUTISMO.
(En Prensa: La Región, 25-10-2023)

NEW PROPOSITIONAL THEORY OF EXECUTIVE FUNCTIONING IN PEOPLE WITH AUTISM.
(In Press: La Region, 10-25-2023)




Thursday 5 October 2023

ESCALA DIAGNÓSTICA TID- TEA

REVISTA MAREMAGNUM
publicación galega sobre o trastorno do espectro do autismo, 27, outubro, 2023.

Prof. Dr. Manuel Ojea Rúa (pp. 27-35)











Monday 18 September 2023

TEST INTEGRADO PARA EL DIAGNÓSTICO DEL TRASTORNO DEL ESPECTRO AUTISTA (TID-TEA)

TEST INTEGRADO PARA EL DIAGNÓSTICO DEL TRASTORNO DEL ESPECTRO AUTISTA (TID-TEA)

Manuel Ojea (setiembre, 2023)

Comunidad Valenciana: Editorial Club Universitario


 EL TEST COMPLETO




ÍNDICE




EL AUTOR





COMPRAR

Teléfono: 965676133
Mail: editorial@ecu.fm



Wednesday 19 July 2023

INTERRELATION OF THE PSYCHOMOTOR SYSTEM AND THE COGNITIVE RELATIONAL PROCESS ON ACADEMIC PERFORMANCE IN PEOPLE WITH AUTISM SPECTRUM DISORDER

 

Interrelation of the Psychomotor System and the Cognitive Relational Process on Academic Performance in People with Autism Spectrum Disorder

1PhD Manuel Ojea Rúa,2Prof. Inmaculada Rodríguez Borrajo
DOI : https://doi.org/10.47191/ijmra/v6-i7-33

 https://ijmra.in/v6i7/33.php

GOOGLE SCHOLARDOWNLOAD PDF
ABSTRACT:

Autism Spectrum Disorder (ASD) is a highly heterogeneous specific feature of neurodevelopment, whose general characteristics are defined by two basic dimensions: 1) deficits of communication and social interaction and 2) restrictive and stereotyped behaviours. Both dimensions are complemented by empirical evidence of the highly significant relationships of a predictive kind with the psychomotor functioning, which becomes most evident over development. Just, this research tries to answer to the following general goals: 1) examine the application of specific programs relating to development of basic psychomotor skills in students with several levels of ASD, age and sex, and 2) delimit the incidence of cognitive relationships between the concepts and learning categories. A total of 99 students have participated in this study, distributed according to ASD level, age and sex. Data have been analysed through the Univariate ANOVA Between-Subjects Effects Test. Results show that both the intersection of psychomotor and cognitive variables (critical sig: .00), as well variables separately (psychomotricity: .00, and relationship: .00), significantly affect to academic performance of students with ASD. Therefore, it can be concluded that relational cognitive components and psychomotor development are essential to facilitate the development of learning in people with ASD, whose R2 of explicative variance is significantly high: .913, being the adjusted R2 level: 86.3%. The influence of the fixed variables interactions: ASD level, age and sex have also been studied.

KEYWORDS:

Autism Spectrum Disorder. Psychomotricity. Perceptive- Cognitive- Nodal Relationship. Conceptual and Categories. Academic Performance.

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Friday 2 June 2023

Psychometric Validation of the ASC-ASD Anxiety Scale in Children with Autism Spectrum Disorder

Psychometric Validation of the ASC-ASD Anxiety Scale inChildren with Autism Spectrum Disorder

Elsa M. Castañeda Mikrukova (PGDip) Autonomous University of Barcelona.

PhD. Manuel Ojea Rúa University of Vigo.



Summary: 

The knowledge, diagnosis and treatment of clinical anxiety in people considered within the autism spectrum is a challenge since most of the instruments are designed based on research variables for people outside the autism spectrum. A total of 91 parents of children between 6 and 18 years of age, diagnosed with ASD in Metropolitan Lima participated in this study. In this sense, the general objective of this study is the validation of the anxiety scale: ANXIETY SCALE FOR CHILDREN WITH ASD (ASC ASD-P) in relation to anxious behaviors in people with ASD. The results show a significant validity of the Scale content; however, there are discrepancies in the allocation of reagents to the corresponding dimensions. The Exploratory Factor Analysis and the Alpha Values of Anxiety present the following data: 1) Anxiety due to Uncertainty (McDonald’s: .86 and Cronbach's Alpha: .85); 2) Performance Anxiety (McDonald’s: .81 and Cronbach's Alpha: .81); 3) Anxious Arousal (0.86 McDonald’s: .86 and Cronbach's Alpha: .8). Separation anxiety is excluded from the analysis due to its low factor value. These data allow us to affirm that the scale to evaluate the presence of ASC-ASD clinical anxiety, parent version, has adequate psychometric properties for the predictive measurement of anxiety in people with Autism Spectrum Disorder (ASD). 

Keywords: Autism Spectrum Disorder, Clinical Anxiety, Anxiety Scale Validation.


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