The initial probation of attachment Q sort in autism children

Ontogenic development of EEG-asymmetry in early infantile autism

In order to examine the cranial CT of autistic children and investigate the etiological significance of CT scan findings, the CT of the brain was surveyed in 24 children with early infantile autism (3 to 17 years with a mean age of 7.6), and 179 children with the normal CT despite their medical histories such as headaches or febrile convulsions. According to their ages, the autistic and normal children were divided into the following three groups: Group I (age ranging from 3 to 5), Group II (age: 6 to 9) and Group III (age: 10 to 17). There was no significant difference between the bifrontal CVI of the autistic children and that of the normal children. However, in Group III, the bifrontal CVI of the autistic children was significantly higher than that of the normal children. There was no significant difference between the bicaudate CVI of the autistic children and that of the normal children. However, in Groups I and II, the bicaudate CVI of the autistic children was significantly lower than that of the normal children. The maximum widths of the third ventricle showed no significant difference between the autistic and normal children. However, in Groups II and III, those of the autistic children were wider than those of the normal children. In the autistic children, as the age increases, the difference becomes significantly wider. A positive correlation was observed between the width of the third ventricle and ages of the autistic children. An examination of the right-left ratio of maximum transverse diameter of the brain showed that there was no significant difference between the autistic and normal children. The above-mentioned results (1)-4)) might suggest a progressive disorder of the brain structure surrounding the third ventricle or lateral ventricles in the autistic children.

Objective To investigate the color preference of autism children and normal children. Methods The paired-comparisons method was used to investigate the color preference in 45 autism children and 124 healthy children. Results (1) The sequence of color preference in autism children was yellow(8.19±1.76), black(7.47±2.32), blue(7.23±2.12), green(6.82±1.93), red(6.42±2.08), purple(6.40±2.09), orange(6.28±1.83) and white(5.68±2.39)(F=6.549, P=0.000). (2)There was remarkable difference on red(t=2.728, P=0.007), yellow(t=-3.275, P=0.001) and purple(t=2.320, P=0.022) between autism children and normal children. (3)There was no remarkable difference between boys and girls of autism children(P>0.05). (4)There was no remarkable difference among autism children aged 4 to 6(P>0.05). Conclusion Color preferent was different between autism children and normal children.Different gender and age of autism children have no effect on the color preference. Key words: Autism; Color preference; Paired-comparisons method

Introduction: One of the problems in the development of a child is autism. Children with autism have limitations in social interaction and communication. There are differences in parenting and food consumption between normal and autistic children that may lead to differences in caries activity. The research was conducted in order to obtain the difference of index def-t and DMF-T between children with autism and normal children. Methods: This study was performed as a cross-sectional analytical research, using equality of two proportions and Mann-Whitney to analyze the differences of index def-t and DMF-T index children with autism and normal children. The research sample consisted of 23 children with autism of Yayasan Our Dream, Yayasan Pelita Hafizh and SLB Prananda and 23 normal children of MI Cikapayang. Results: The results of this research showed that the index def-t of children with autism was 1.21 and normal children was 3.69. The DMF-T index of children with autism was 1.56, while the normal children was 2.26. Conclusion: The conclusion of this research was that there was no significant difference in def-t index in children with autism and normal children except for the "e" (indicated for extraction) and there was a significant difference in DMF-T index between children with autism and normal children.

This study examined autistic children's social behavior, affect, and use of gaze during naturalistic interactions with their mothers. Sixteen autistic children, 30 to 70 months of age, and 16 normal children, matched on receptive language, participated. Children and their mothers were videotaped during three situations: a free-play period, a more structured period during which communicative demand was made on the child, and a face-to-face interaction. In all three situations, autistic and normal children did not differ in the frequency or duration of gaze at mother's face. In the one condition (face-to-face interaction) during which affective expressions were coded, autistic and normal children also were not found to differ significantly in the frequency or duration of smiles displayed, and neither group displayed frowns. However, autistic children were much less likely than normal children to combine their smiles with eye contact in a single act that conveyed communicative intent. Autistic and normal children were not found to differ in the percentages of smiles they displayed to social versus nonsocial events. However, when autistic children's responses to mother's smiles specifically were examined, it was found that they were much less likely to smile in response to mother's smiles than were normal children. Finally, it was found that mothers of autistic children displayed fewer smiles and were less likely to smile in response to their children's smiles, when compared with mothers of normal children. These findings suggest that the autistic child's unusual affective behavior may negatively affect the behavior of others.

The modified Behavior Observation Scale adapted from Freeman et al. was used to compare normal, retarded, and autistic children with very low developmental ages and to determine the types of behavior that could differentiate these three diagnostic categories of children. Examination of the data revealed that there was much more overlap between autistic and retarded children than between autistic and normal children. However, a behavioral pattern of autism could be delineated and very retarded autistic children could be distinguished from the nonautistic retarded children. The autistic behavioral pattern included subclusters of symptoms that might be interpreted as disturbances of sensory modulation and motility.

The performance of children meeting DSM-III criteria for schizophrenic disorder and infantile autism and of normal children (ages 7 years 10 months to 14 years 4 months) was compared on the Wisconsin Card Sorting Test, Rey's Tangled Line Test, Benton Judgment of Line Orientation, Digit Symbol Substitution Test, and Peabody Picture Vocabulary Test. The mean performance IQ of the schizophrenic and autistic children was equal and in the normal range. The normal children were of average intelligence as estimated by the PPVT. As compared to normal children, both autistic and schizophrenic children were impaired on the DSST and RTLT. The autistic children had significantly lower scores on the PPVT than schizophrenic and normal children. The schizophrenic children made significantly more perseverative responses on the WCST than did normal children. They significantly increased their nonperseverative errors on the second half of the WCST, after having been taught the correct sorting principles. It is argued that in schizophrenia a core deficit in momentary processing capacity underlies the above performance pattern. In contrast, in autism the core cognitive deficit involves an inability to use language to regulate and control ongoing behavior.

This study was designed to assess the effectiveness of using prompts (extra "guiding" stimuli) for teaching normal and autistic children. One group of normal children was pretrained on a color discrimination. Later, the colors were used as prompts (presented simultaneously with new training stimuli) to teach four new discriminations. Another group of normal children was trained on the same discriminations with a trial-and-error procedure (i.e., no prompting). A third group consisted of autistic children who were trained on these discriminations using the prompt procedure. Analyses of the results showed the following. (1) The trial-and-error group of normal children acquired more discriminations than the prompt group of normal children. (2) A comparison of the two prompt groups showed that the autistics failed to transfer from the prompt cue to the training cue more often than the normal children; rather, the autistics generally continued responding to the faded color cue. (3) Autistic and normal children who failed to acquire the discriminations when trained with a prompt procedure did acquire these discriminations when no prompt was used. That is, the results suggest that the presentation of an extra guiding stimulus was detrimental to the acquisition of training discriminations for all subjects, and particularly so far autistic children. Therefore, the common practice of providing extra guiding stimuli in proportion to the severity of the learning disorder may actually be harmful to the learning of new skills. Implications of these results for future research are discussed.

Many children with autistic spectrum disorders have unusual reactions to certain sensory stimuli. These reactions vary along a hyper- to hypo-responsivity continuum. For example, some children overreact to weak sensory input, but others do not respond negatively to even strong stimuli. It is typically assumed that this deviant responsivity is linked to sensitivity, although the particular stage of sensory processing affected is not known. Psychophysical vibrotactile thresholds of six male children (age: 8–12) who were diagnosed to have autistic spectrum disorders and six normal male children (age: 7–11) were measured by using a two-alternative forced-choice task. The tactile stimuli were sinusoidal displacements and they were applied on the terminal phalanx of the left middle finger of each subject. By using a forward-masking paradigm, 40- and 250-Hz thresholds of the Pacinian tactile channel and 40-Hz threshold of the Non-Pacinian I tactile channel were determined. There was no significant difference between the thresholds of autistic and normal children, and the autistic children had the same detection and masking mechanisms as the normal children. The sensory responsivity of each subject was tested by clinical questionnaires, which showed again no difference between the two subject groups. Furthermore, no significant correlations could be found between the questionnaire data and the psychophysical thresholds. However, there was a high correlation between the data from the tactile and emotional subsets of the questionnaires. These results support the hypothesis that the hyper- and hypo-responsivity to touch, which is sometimes observed in autistic spectrum disorders, is not a perceptual sensory problem, but may probably be emotional in origin.

This study tests the hypothesis that the development of normal and autistic children differs only in rate and asymptote. A total of 195 normal children between 1 and 5 years of age, 160 normal children between 3 months and 24 months of age, and 41 autistic children between 5 and 11 years of age were evaluated on the eight psychological variables constituting the Behavioral Rating Instrument for Autistic and other Atypical Children (BRIAAC). While many similarities were found, there were a sufficient number of differences to justify DMS-III's statement that certain autistic behaviors are not normal at any stage of development. Differences were particularly prominent when the development of normal infants was compared with that of severely disturbed autistic children. In general, the issue of whether deviant development differs only quantitatively from normal development can best be decided on the basis of developmental data and by utilizing instruments that sample all the major characteristics of both populations.

The auditory evoked response in normal and autistic children during sleep

The syndrome of childhood autism is typified by major abnormalities in language development, yet there are few systematic descriptions of autistic children's linguistic systems. We have, therefore, begun a comprehensive investigation of the language of verbal autistic children and concentrate in this paper on comparing the syntax used by 10 verbal autistic children matched for nonlinguistic mental age with a group of mentally retarded subjects and normal controls. Two different means of assessing syntactic development were utilized: Lee's Developmental Sentence analysis and Chomsky's Transformational analysis. The autistic group was found to rank significantly lower than either the mentally retarded or the normal groups in terms of Developmental Sentence Scores. When a transformational grammar was used to describe the language samples of our subjects the autistic children were typified by a higher error rate and lower level of complexity compared to the other two groups. However, the results also indicate that the grammatical system of autistic children is rule-governed and probably not unlike that of young normal or retarded children. In conclusion, it appears that the syntactic abnormalities characteristic of autism are attributable to an extreme delay in language development as well as to an impaired ability to make use of linguistic rules.

In a replication and extension of earlier studies by Hermelin & O'Connor, language recoding abilities in autistic, retarded and normal children matched for mental age and digit span, were compared in a verbal recall task. Random word lists, sentences, and anomalous sentences, eight or 12 items in length (for high and low memory span subgroups) were presented and the number of words recalled from each type of input was scored. All low span children recalled sentences better than random lists with normal children superior to retarded and autistic children and the latter group poorer than the retarded group. Autistic children showed a recency effect with both types of input. There were no group differences amongst high span children and sentences were again better recalled than random lists. In Expt II sentences were better recalled than anomalous sentences, with autistic and retarded children equivalent in performance and poorer than normal children. Although low span autistic children were clearly deficient in recall of sentence material when compared with the two control groups, the effect of conditions showed that they were able to use structure to improve recall. Since high span autistic children did not perform differently from controls it is suggested that results from this kind of study may not be generalizable, and that claims for a specific coding deficit in autistic children need further substantiation.

In this paper, we are looking at the differences between autistic and normal children in term of fine motor movement. Previous findings have shown that there are differences between autistic children and normal children when performing a simple motor movement tasks. Imitating a finger tapping and clinching a hand are two examples of a simple motor movement tasks. Our study had adopted one of the video stimuli for clinching the hand from Brainmarkers. 6 selected autistic children and 6 selected normal children were involved in this study. The data collection is using EEG device and will be analyzed using Gaussian mixture model (GMM) and Multilayer perceptron (MLP) as classifier to discriminate between autistic and normal children. Experimental result shows the potential of verifying between autistic and normal children with accuracy of 92%. The potential of using these techniques to identify autistic children can help early detection for the purpose of early intervention. Moreover, the spectrums of the signals also present big differences between the two groups.

The abilities of autistic and schizophrenic children to recognize the meanings of concrete nouns, nonemotional (neutral) adjectives, and emotional adjectives were compared to a normal control (NC) group using a picture‐matching task. Autistic children performed significantly worse than chronological‐age‐matched normal and schizophrenic children on emotional adjectives but did not differ in their abilities to recognize the meanings of nouns and neutral adjectives. Schizophrenic children did not differ from normal children in any of the three tasks. When matched on mental age, autistic and normal groups did not differ significantly. In a descriptive analysis of definitions, verbal responses from autistic children were found to be more like those of younger normal children. Considered together, these results suggest that abnormal performance on adjectives can be attributed to language delay rather than to specific autistic features. When parents, autism experts, and speech/language pathologists evaluated definitions of emotional adjectives produced by autistic and normal children, all three rater groups were able to distinguish between responses from the two groups.