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According to International Classification of Mental Disorders of American Psychiatric Association (2013), people with autism spectrum disorder (ASD) show a characteristic perceptual processing, which also extends to evaluation of experience, both external and internal, since processes of analysis are conditioned, both the information coming from environment, as the existing contents in permanent memory.
Mevel, Fransson and Bölte (2015) affirm that these deficits are due to complex interaction of genetic and environmental factors, which affect cerebral maturation, synaptic function and cortical networks.
Napoli et al. (2018) deepen into an etiological study and conclude that analysis performed with a comparative genomic hybridization matrix (array-CGH), indicates that copy number variants (CNV) are associated with the susceptibility of people with ASD, which is an important specificity of these individuals.
Likewise, Lieberman (2012) points out that cognitive processing follows a sequence in which, neuronal system determine strength of signals detected, so process transforms initial visual stimulus into neuronal impulses, which are transformed from retina to the brain in many ways, of which, the most remarkable is the lateral geniculate nucleus. Then, arrive to primary visual cortex, where it occurs analysis process of individual features observed of initial stimulus. From this moment, it´s distributed to several areas, that process the isolated features, which are combined in multiple ways to configure a global representation of initial image of retina. But, there hasn´t yet been conceptual- categorial attribution, thus, still must go to an intermediate and superior perceptual level, where inferior temporal cortex will develop an essential performance, so any deficit on any area of lower temporal cortex can cause deficits to the recognition of perceived object.
Whyte, Behrmann, Minshew, García and Scherf (2016) have explored specificity of the activation of facial processing in people with ASD and its results demonstrate a hypoactivation in facial processing system of human faces, but not of animals, possibly due to limitations in ability to represent value of social stimuli.
Ibrahim, Morgan, Vogan, Leung, Anagnostou and Taylor (2016) say these neurological deficits aren´t limited to one or several domains, but in their interaction, exhibiting limited cerebral axes, related with ability to modify attention and executive function, while indicating better potential in activities planning.
Jaime et al. (2016) deepen into the possible causes of conceptual integration deficits, which´s explained by the cognitive hypotheses of coherence and conclude that people with ASD during joint attention processes showed reduced temporal-central alpha coherence in right hemisphere compared to their peers in the typical development group.
Then, studies about presence of a local perception are corroborated, just as the theory of cognitive central coherence affirms (Frith (2003). Likewise, these hypotheses were analyzed by Booth and Happe (2018), that suggest global integration is reduced, being an important factor of weak central coherence.
Whereby, executive system is affected, with great limitations for conceptual integration and categorical hierarchy. In this sense, Mercado and Church (2016) investigate the computational work and suggests these deficits may be result of atypical representations in people with ASD in cortical maps, derived the idiosyncratic perceptual processes observed.
Callenmark, Kjellin, Rönnqvist y Bölte (2014), Koegel, Bradshaw, Ashbaugh, y Koegel, (2014) adapted various methodological proposals related to people with ASD to respond to these specific needs. However, a recurring theme is existence of an empty in programs design to create links between the concepts; therefore, this research´s main aim is to design a specific program to facilitate of conceptual and sensory integration development, through creation of relational links or networks. Thus, basic aims are the following:
Design and apply a specific program to facilitate conceptual sensory integration, through creation of perceptive- cognitive networks to people with ASD.
Evaluate the application of program on the experimental group participants, compared with his peers of control group.
Research design is supported by an experimental model of two groups, 1 Experimental Group (EG), to which a specific program was applied, and 1 Control Group (CG), whose participants followed the regular programs.
A total of 27 students with ASD participated in study, of three diagnosis levels, of both sexes and of ages between 4-15 years, which have been divided heterogeneously in both groups: the experimental and control group.
Evaluation analysis was developed with the following psychometric tests, operationalized in the variables: “frostig” y “text”:
The variables: “frostig” and “text” for their three evaluation measures were statistically calculated to form a new variable named “networks” for the three measures: “networks1-2-3” (see Table 1).
The authorizations and ethical considerations were requested. Then, participants were distributed proportionally in the experimental group and control group. Over a period of 9 months 3 successive evaluation measures were carried out to both groups: 1) first measure: “frostig1” y “text1” (experimental group began the application of a specific adapted program, while control group continued the regular programs), 2) after 4,5 months, second measurement was made: “frostig2” and “text2, and 3) finally, 4,5 months later, third measure of comparison between experimental group and control group was assessed: “frostig3” y “text3”.
Results were calculated for the variable: “networks” (1-2-3), in relation to variable “group”, through the ANOVA analysis of repeated measures and independent samples t- test for equality of means, of statistical package SPSS, version 23.
A total of 27 participants join in this study, 9 students are diagnosed with ASD1, 9 with ASD2 and 9 with ASD3; 6 students are 4-6 years old, 7 are 7-9 years old, 7 are 10-12 years old, and 7 are 13-15 years; 23 are men and 4 females. Sample was distributed in two groups: 1 EG (n = 15) and 1 CG (n = 15), that can be seen in Table
In Table 3 can be observed the multivariate test for the 3 successive measurements. Results found significant changes throughout research study (9 months), concluding that there´re meaningful differences for the variable “networks” (value= .92, F= 141.18, error= 24.00, sig= .00). Likewise, the data of 3 measures to the variable “networks” in relation to the variable “group” point that there´re significant differences between participants of the experimental group and participants of the control group (value= .73, F= 34.00, error= 24.00, sig= .00).
However, the comparative effects test between groups of Mauchly (see Table 4) doesn´t allow refuse the equality hypothesis of means with about the “networks” variable evolution, nor in relationship to the variable “group” (sig = .20), so it´s necessary to complete analysis with the Within-Subjects Effects Tests (see Table 5).Indeed, in the Within Subjects Design Test of Table 5, data of previous multivariate analysis are confirmed, in which significant critical levels are found, both, for the variable “networks1-2-3” (sig.= .00, F= 148.15), as well as significant differences in relation to variable “group” (sig= .00, F= 40.38, mean square of error= .205).Data summary of ANOVA is estimated that the evolution of the variable “networks1-2-3” evidence significant differences throughout its evolution (sig= .00, linear F= 242.20) and, also, this evolution is significantly different depending on the participants group type (sig= .00, linear F = 66.86).
Indeed, changes found in variable “networks” related to the group type can be seen in Table 7. It looks like experimental group develop from 2.00 in “networks1” to 3.79 in “networks2” and 5.21 in “netswork3” (difference= 3.21 p.). Control group data is slightly lower, since develop from 2.38 in “networks1” to 3.15 in “networks2” and to 3.38 in “networks3” (difference = 1 p.), being total difference between the EG and CG of 2.21 p.
The independent samples t- test for equality of means (see Table 8) confirms the differences found in the 3 successive measures in the variable “networks” in relation to variable “group”. This test points out that the differences in first measure aren´t significant contrasts (“nextwork1” = .18), second measure also doesn´t find significant different levels: “networks2” (sig = .07), nevertheless, third measure: “networks3”, show significant differences between the experimental group participants and the peers of the control group (sig= .00).In this research the effectiveness of the applied program could be contrasted, since students of the experimental group have improved significantly, compared to their peers of control group.
The improvements found at a comparative level refer to two fundamental aspects: 1) to the levels of sensory integration and gestalt organization, measured through the Frostig test, operationalized in variable “frostig”, and 2) to semantic integration and conceptual understanding processes, evaluated throughout improving the understanding of a text adapted to age and curricular competence, operationalized in variable “text”.
The data found to variable calculated: “nextworks”, which unifies both variables: “frostig” and “text”, allows conclude that the experimental group students have improved sensibly compared to control group peers in sensory perception integration and in processes of semantic coding.
Conclusions confirm existence of a neural interrelation between the basic psychological processes during activity of the cognitive development, then specific programs are necessary that facilitate creation of the networks and semantic links, related with the conceptual information and the previously learned concepts. Likewise, it´s essential to forward creation of conceptual categories in semantic memory along the learning process, which globalizes sensory information perceived. Indeed, CG participants also evolved in conceptual creation, but they didn´t significantly as the EG participants, who improved more than their peers of control group, due to application of this program.
Brandwein et al. (2015) y Elison et al. (2013) indicate that processing of information depends on global perception of stimuli, understanding and semantic analysis, but in people with ASD this process doesn´t occur spontaneously, owing to limited perception and to deficits in construction of interrelated links between the new information and previous contents.
Several studies of Cognitive Psychology (Greimel et al., 2012; Kimhi, Shoam-Kugelmas, Agam, Ben-Moshe y Bauminger-Zviely, 2014; Voos et al., 2013) conclude that cognitive functioning is an interrelated systemic process, in which the different basic psychological processes don´t act alone, but that these processes: perception, attention, emotion, motivation and memory interact dynamically during human cognitive action and any component that impedes the functioning of a process, thus, all processes will be affected, not only at the sensory perception, but also in the coding processes.
This systemic interaction is developed through intersection of inherent thought process, which is linked to a semantic- pragmatic process about its own functioning dynamics, through which it´s understood and, finally, encoded. In this sense, the analysis and codification of the perceived reality configure a peculiar mode of information processing in people with ASD that influences its global processing mode.
There´re previous studies that show the mutual influence of the cognitive process performing how a continuous process that goes from the perception of internal or external stimulus to execution of action itself, therefore, there´s a great number of research have like aim to ease specific perceptual- cognitive development programs for individuals with ASD (Cheung, Siu, Brown and Yu, 2018; de Verdier, Kim and Ek, 2018; Kuder and Accardo, 2018; Spaniol, Shaley, Kossyvaki and Mevorach, 2018).
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