ASD Children Research Articles

Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography

BackgroundAutism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits.MethodsWe used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models.ResultsWe found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits.LimitationsOptical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism.ConclusionsThis study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits.

Salivary Transcriptome and Mitochondrial Analysis of Autism Spectrum Disorder Children Compared to Healthy Controls.

Autism rates have been reported to be increasing rapidly in industrialized societies. The pathology most often combines neurological symptoms associated with language and social impairments with gastrointestinal symptoms. This study aimed to measure differences in oral metatranscriptome and mitochondrial health between ASD children and neurotypical USA and Colombia ("Blue Zone") children. In addition, this study aimed to determine whether using prebiotics and probiotics would change the oral microbiome and mitochondrial health of ASD children. Buccal swabs and saliva samples were obtained from 30 autistic individuals (USA) at three intervals: prior to intervention, post-prebiotic, and post-probiotic. In addition, a subject component who were neurotypical, which included individuals from the USA (30) and Colombia (30), had buccal swabbing and salivary sampling performed for metatranscriptomic and mitochondrial comparison. Significant differences were observed in the temporal data, demonstrating shifts that interventions with probiotics and polyols may have precipitated. Particular bacterial strains were significantly more prevalent in the autism group, including a strain that reduced neurotransmitter levels via enzymatic degradation. This supports the hypothesis that the microbiome may influence the occurrence and degree of autism. Verbal skills increased in six of the 30 ASD subjects following xylitol and three more after probiotic supplementation, according to both parental reports and the subjects' healthcare providers.

Effect of Infra Low Frequency (ILF) neurofeedback training on EEG in children with autism spectrum disorders.

To investigate whether Infra-low frequency Neurofeedback (ILF-NFB) training can improve brain electrical activity in children with autism spectrum disorders ASD. This single arm pre and post intervention study was carried out at IBMS (Institute of Basic Medical Sciences), Khyber Medical University, Peshawar and Shaheed Zulfiqar Ali Bhutto Medical University (SZABMU), Islamabad from January 2021 to December 2022. A purposive sampling technique was used. Thirty-five ASD children (male=24; female=11; 7-17 years) were provided with 30 sessions of infra low frequency (ILF) neurofeedback training for 15-20 minutes, during 10 weeks. Childhood Autism Rating Scale (CARS) scoring was done and electroencephalogram (EEG) activity was compared before and after ILF-NF training sessions. Around 62.9% participants had mild-moderate autism and 37.1% had severe autism. Wilcoxon Signed rank test revealed a significant decline in delta (Pre-test=47.31±19.22, Post-test=22.07±6.83; p=<0.001), theta (Pre-test=24.75±16.62, Post-test=12.37±3.59; p=<0.001) and alpha (Pre-test=12.01±9.81, Post-test=4.03±1.61; p=< 0.001) waves. Mann Whitney U test exhibited no significant gender differences in EEG pattern before and after neurofeedback except in theta waves (p=0.03) before the intervention. Decline in delta, theta, beta and alpha waves propose that ILF-NF training can be effective in improving the EEG activity. ILF-NFB can be perceived as a valuable non-invasive, non-pharmacological intervention for improving EEG pattern via reintegration of brain activity resulting in increased the attention and focus, enhanced mental stability and cognitive engagement.

Различия в спектральной мощности ЭЭГ и поведении детей с аутистическими расстройствами несиндромального происхождения и с синдромом Дауна

&lt;p style="text-align: justify;"&gt;The diverse nature of the autistic spectrum disorders group (ASD) may be associated with EEG patterns, which may be specific for different profiles of ASD. Approximately 15% of children with Down syndrome (DS) exhibit autistic features, and the cognitive impairment associated with this syndrome remains unclear. We aimed to explore the potential similarities in behavioral disorders and their EEG correlates between non-syndromic ASD and DS children with comorbid autistic features. Three groups of right-handed boys participated in the experiments: typically developed boys (&amp;ldquo;control&amp;rdquo;) &amp;mdash; N = 36; mean age = 7.11, SD = 0.86; DS group age N = 15, mean age 7.2 (SD = 0.94), and ASD group; N &amp;mdash; 36; mean age &amp;mdash; 7.11, SD &amp;mdash; 0.86; DS group age N &amp;mdash; 15, mean age 7.2 (SD &amp;mdash; 0.94), and ASD group; N &amp;mdash; 39; mean age &amp;mdash; 6.24 (SD &amp;mdash; 0.91). Increased theta rhythm spectral power in EEG was found in the frontal and temporal areas, while the alpha rhythm in the occipital area exhibited a reduction in children with DS and ASD as compared with control. The alterations in bioelectric activity, such as increased spectral power f theta in the frontal area and a reduction of EEG spectral power in the occipital alpha band, were partially similar in children with DS and with ASD, albeit less pronounced in DS. A distinctive EEG characteristic of DS was the heightened spectral power of beta rhythm compared to the control group. The Psychoeducational Profile testing in DS revealed inferior results in verbal development (p &amp;lt; 0.05) and cognitive representations (p &amp;lt; 0.05) compared to both the control and ASD groups. However, no differences were found in the total cognitive development scale between DS and ASD. At the behavioral level, impaired verbal and non-verbal intelligence was more prominent in DS than in ASD.&lt;/p&gt;

Hubungan antara Dukungan Keluarga dengan Kemampuan Pragmatik Anak Autism Spectrum Disorder (ASD) di Kota Sragen

Abstract Background: One that plays a role in the development of children's language is the family, because the family is the first environment where the child gets the first experience that will affect his life in the future. Pragmatic development is obtained by interacting with the environment around the child and through stimuli provided by the surrounding people using various methods carried out in a family or community. One of them is inviting children to interact from an early age, is a pragmatic learning method that is practiced by all parents. One of the factors that influence the development of pragmatics is social interaction. Objective: This study aims to determine the relationship between the relationship between family support and the pragmatic abilities of ASD children in Sragen. Methods: This type of quantitative research with a cross sectional design. The data collection technique uses total sampling with a sample of 30 respondents. The collected data will be analyzed univariately and bivariately using the Spearman's Rank statistical test. Results: Based on the analysis test results with Spearma's Rank, the value of ρ (sig.) is 0.001 or the value of ρ (sig.) ≤ 0.05, then Ha (alternative hypothesis) is accepted, thus indicating that there is a relationship between family support and the pragmatic ability of ASD children in Sragen city. The correlation coefficient value is 0.557, which means that the level of correlation or relationship between the two variables is in the range 0.4 to ≤ 0.6, which is the medium category. Conclusion: There is a relationship between family support and the pragmatic abilities of ASD children in Sragen City. Keywords: Family Support, Pragmatic Ability, ASD Children

A study of the effects of screen exposure on the neuropsychological development in children with autism spectrum disorders based on ScreenQ

PurposeTo investigate the relationship between multi-dimensional aspects of screen exposure and autistic symptoms, as well as neuropsychological development in children with ASD.MethodsWe compared the ScreenQ and Griffiths Development Scales-Chinese Language Edition (GDS-C) of 636 ASD children (40.79 ± 11.45 months) and 43 typically developing (TD) children (42.44 ± 9.61 months). Then, we analyzed the correlations between ScreenQ and Childhood Autism Rating Scale (CARS), and GDS-C. We further used linear regression model to analyze the risk factors associated with high CARS total scores and low development quotients (DQs) in children with ASD.ResultsThe CARS of children with ASD was positively correlated with the ScreenQ total scores and “access, frequency, co-viewing” items of ScreenQ. The personal social skills DQ was negatively correlated with the “access, frequency, content, co-viewing and total scores” of ScreenQ. The hearing-speech DQ was negatively correlated with the “frequency, content, co-viewing and total scores” of ScreenQ. The eye-hand coordination DQ was negatively correlated with the “frequency and total scores” of ScreenQ. The performance DQ was negatively correlated with the “frequency” item of ScreenQ.ConclusionScreenQ can be used in the study of screen exposure in children with ASD. The higher the ScreenQ scores, the more severe the autistic symptoms tend to be, and the more delayed the development of children with ASD in the domains of personal-social, hearing-speech and eye-hand coordination. In addition, “frequency” has the greatest impact on the domains of personal social skills, hearing-speech, eye-hand coordination and performance of children with ASD.

Parent Education as Effort to Improve Sleep Quality Handling in ASD Children at Sekolah Luar Biasa Cimahi City

Parent Education as Effort to Improve Sleep Quality Handling in ASD Children at Sekolah Luar Biasa Cimahi City

ICF Core-Set Autism Brief 기반 자폐성장애 영유아 언어 행동 평가 도구 개발에 대한 델파이 조사*

The purpose of this study is to develop a verbal behavior assessment tool for asd children using ICF Core Set-Autism Children Brief and verify the validity. Two rounds of Delphi survey on validity of items from IICF Core Set-Autism Children Brief was undertaken by 9 panels who are professionals in applied behavior analysis. As a result, 22 items were identified to be suitable among 48 items. For developmental level suitability, pre-talking and watching were the most suitable items for pre-listener level and listener level and speaker level were found to share common items such as memory function, intellectual function, pay attention, overall psychosocial functions. We discussed about implications that verbal behavior assessment tool for asd children should consider based on the results.

Cortical-cerebellar circuits changes in preschool ASD children by multimodal MRI.

To investigate the alterations in cortical-cerebellar circuits and assess their diagnostic potential in preschool children with autism spectrum disorder using multimodal magnetic resonance imaging. We utilized diffusion basis spectrum imaging approaches, namely DBSI_20 and DBSI_combine, alongside 3D structural imaging to examine 31 autism spectrum disorder diagnosed patients and 30 healthy controls. The participants' brains were segmented into 120 anatomical regions for this analysis, and a multimodal strategy was adopted to assess the brain networks using a multi-kernel support vector machine for classification. The results revealed consensus connections in the cortical-cerebellar and subcortical-cerebellar circuits, notably in the thalamus and basal ganglia. These connections were predominantly positive in the frontoparietal and subcortical pathways, whereas negative consensus connections were mainly observed in frontotemporal and subcortical pathways. Among the models tested, DBSI_20 showed the highest accuracy rate of 86.88%. In addition, further analysis indicated that combining the 3 models resulted in the most effective performance. The connectivity network analysis of the multimodal brain data identified significant abnormalities in the cortical-cerebellar circuits in autism spectrum disorder patients. The DBSI_20 model not only provided the highest accuracy but also demonstrated efficiency, suggesting its potential for clinical application in autism spectrum disorder diagnosis.

A new way to approach ASD children in Dentistry.

To present an innovative dental approach for children with autism spectrum disorder to the scientific community, along with the 3 questionnaires formulated to evaluate its effectiveness. Development of the 3 questionnaires occurred in five stages: observation of the behaviours of ADS children and their caregivers attending the Dental Department in the year 2021; issues detection: anxiety in parents, crying, difficulty in waiting and hyperactivity of the children, fear of both parents and children; formulation of the questionnaires in order to obtain all the information necessary to assess the patient's psychological well-being; validation with submission of the questionnaires to two specialists; modification and final drafting. Using the 3 questionnaires, the dentist will be able to assess the wellbeing of the patient and his/her family when attending the dental environment, monitor oral hygiene manoeuvres and verify the usefulness of the orthodontic approach to ADS child while creating a trusting relationship with the patient and his/her caregivers.

Parental Competences and Stress Levels in Mothers of Children with Autism Spectrum Disorders and Children Developing Neurotypically.

(1) Background: the aim of this study was to explore parental competences and stress levels in the mothers of children with autism in relation to the mothers of neurotypical children. (2) Methods: the study used the Parental Competence Test and the PSS-10 scale to assess the intensity of stress related to one's own life situation over the past month. Forty mothers of children with ASD (n = 20) and neurotypical children (n = 20) participated in the study. (3) Results: the mothers of children with ASD showed higher levels of stress (p = 0.0002). The mothers of neurotypical children achieved higher scores in parental competences (r = -0.49). The competence of mothers of children with ASD was correlated with rigour (r = 0.50), permissiveness (r = -0.60), overprotectiveness (r = 0.71), and helplessness (r = -0.77). (4) Conclusions: mothers of children with autism demonstrate lower parental competences than mothers of neurotypical children. Mothers of children with autism are less rigorous but more permissive, overprotective, and helpless. They tend to become heavily involved with their child. An overprotective attitude and greater tolerance for antisocial behaviours among parents of children with ASDs protect them from excessive stress.

Discovery of a novel cytokine signature for the diagnosis of autism spectrum disorder in young Arab children in Qatar.

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder characterized by impaired social interaction and communication and the occurrence of stereotyped and repetitive behaviors. Several studies have reported altered cytokine profiles in ASD and hence may serve as potential diagnostic biomarkers of the disorder. This study aims to identify diagnostic biomarkers for ASD in a well-defined study cohort in Qatar. We measured the protein levels of 45 cytokines in the plasma samples of age- and gender-matched children (2-4 years) with ASD (n = 100) and controls (n = 60) using a Luminex multiplex assay. We compared the differences in the levels of these cytokines between the two study groups and then fitted the significantly altered cytokines into a logistic regression model to examine their diagnostic potential for ASD. We found elevated levels of IFN-γ, FGF-2, IL-1RA, and IL-13 and reduced levels of eotaxin, HGF, IL-1 alpha, IL-22, IL-9, MCP-1, SCF, SDF-1 alpha, VEGFA, and IP-10 in the plasma of children with ASD compared to controls. Furthermore, we observed that elevated levels of IFN-γ (odds ratio (OR) = 1.823; 95% (confidence interval) CI = 1.206, 2.755; p = 0.004) and FGF-2 (OR = 2.528; 95% CI = 1.457, 4.385; p < 0.001) were significantly associated with increased odds of ASD, whereas reduced levels of eotaxin (OR = 0.350; 95% CI = 0.160, 0.765; p = 0.008) and HGF (OR = 0.220; 95% CI = 0.070, 0.696; p = 0.010) were significantly associated with lower odds of ASD relative to controls. The combination of these four cytokines revealed an area under the curve (ROC-AUC) of 0.829 (95% CI = 0.767, 0.891; p < 0.001), which demonstrates the diagnostic accuracy of the four-cytokine signature. Our results identified a panel of cytokines that could discriminate between children with ASD and controls in Qatar. In addition, our findings support the predominance of a Th1 immune phenotype in ASD children and emphasize the need to validate these results in larger populations.

A Simple Preprocessing Method Enhances Machine Learning Application to EEG Data for Differential Diagnosis of Autism

A new pre-processing approach of EEG data to detect topological EEG features has been applied to a continuous segment of artifact-free EEG data lasting 10 minutes in ASCII format derived from 50 ASD children and 50 children with other Neuro-Psychiatric Disorders (NPD), matched for age and male/female ratios. Each EEG is transformed in a triangular matrix of 171 values expressing all reciprocal Manhattan distances among the 19 electrodes of to the international 10-20 system. From this matrix, the minimum spanning tree (MST) is calculated. Electrode identification serial codes sorted according to the decreasing number of links in MST, and the number of links in MST are taken as input vectors for machine learning systems. Machine learning systems have been applied to build up a predictive model to distinguish between the two diagnostic classes (autism vs NPD) following a rigorous validation protocol. The best machine learning system (KNN algorithm) obtained a global accuracy of 93.2% (92.37 % sensitivity and 94.03 % specificity) in differentiating ASD subjects from NPD subjects. The results obtained in this study suggest that, thanks to the new pre-processing method introduced, there is the possibility to discriminate subjects with autism from subjects affected by other psychiatric disorders with a modest computational time reducing the information to 38 figures.

Impact of Xbox Gaming on Object control skills and Balance for children with autism spectrum disorder-A Pilot study

Background: Children with ASD could face difficulties in a variety of areas including object handling skills andbalance. These issues can impair their ability to accomplish everyday tasks, participate in physical activity andsuccessfully communicate with their surroundings.Purpose: To determine the impact of xbox gaming on object control skills and balance for children with ASD.Methods: A pilot study was conducted with a total of 20 ASD children who were allocated into two groups.The experimental group (n=10) received xbox gaming and the conventional group received conventional therapy(n=10) The therapy was provided for 40 minutes five days a week for eight weeks to both groups. The test of grossmotor development scale-2 and a pediatric balance scale were used to determine the before and post-test values ofObject control skills (OCSs) &amp; Balance.Results: The results findings shows that the experimental group pre and post-test values using the test of grossmotor development scale-2(14.2±4.04,33±8.02) and conventional group (12.2±4.56,23.2±2.85) have a p valueof &lt;0.01.Experimental group pre- and post-test values using pediatric balance scale was(30.4±4.59,46.9±5.04)and conventional group was (28±4.94,36.9±5.38)with a p value&lt;0.01.The outcome revealed highly significantdifferences within and between the two groups.Conclusion: This study concludes that xbox gaming for children with ASD proves a promising way for improvingobject control skills and balance. Participants revealed significant gains in advanced technology.

Epistemic Justice and Neurodiversity: Mentalization–Based Treatment with Children in the Autistic Spectrum from a Dimensional Perspective

ABSTRACT Neurodiverse individuals often suffer the consequences of epistemic injustice, that lead to isolation and helplessness. By attempting to apply a mentalization lens to ASD, we seek to highlight the concept of neurodiversity as an invitation to “mentalize differences” that arise primarily as a response to the marginalization of people with autism spectrum disorders. We seek to move away from the non-mentalizing impact of the categoric deficit model, providing an integration of both existing theoretical and empirical clinical data into an intervention to address the heterogeneity of neurodiversity. An adaptation of mentalization-based treatment for children (MBT-C) to the needs of children and adolescents functioning in the Autistic Spectrum is discussed. A clinical model that integrates findings of developmental research, dyadic clinical psychodynamic intervention models and neuroscientific data with the aim to develop an integrative therapeutic intervention both relational and developmental in nature. A mentalization informed dimensional approach is applied to the scaffolding process necessary to accommodate the heterogeneity and overall unique needs of this population. The article explores the need for further empirical research which substantiates the need for both systemic and individual interventions which address the subjective experience of ASD children and adolescents and that of their families.

Impaired effective functional connectivity in the social preference of children with autism spectrum disorder.

The medial prefrontal cortex (mPFC), amygdala (Amyg), and nucleus accumbens (NAc) have been identified as critical players in the social preference of individuals with ASD. However, the specific pathophysiological mechanisms underlying this role requires further clarification. In the current study, we applied Granger Causality Analysis (GCA) to investigate the neural connectivity of these three brain regions of interest (ROIs) in patients with ASD, aiming to elucidate their associations with clinical features of the disorder. Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from the ABIDE II database, which included 37 patients with ASD and 50 typically developing (TD) controls. The mPFC, Amyg, and NAc were defined as ROIs, and the differences in fractional amplitude of low-frequency fluctuations (fALFF) within the ROIs between the ASD and TD groups were computed. Subsequently, we employed GCA to investigate the bidirectional effective connectivity between the ROIs and the rest of the brain. Finally, we explored whether this effective connectivity was associated with the social responsiveness scale (SRS) scores of children with ASD. The fALFF values in the ROIs were reduced in children with ASD when compared to the TD group. In terms of the efferent connectivity from the ROIs to the whole brain, the ASD group exhibited increased connectivity in the right cingulate gyrus and decreased connectivity in the right superior temporal gyrus. Regarding the afferent connectivity from the whole brain to the ROIs, the ASD group displayed increased connectivity in the right globus pallidus and decreased connectivity in the right cerebellar Crus 1 area and left cingulate gyrus. Additionally, we demonstrated a positive correlation between effective connectivity derived from GCA and SRS scores. Impairments in social preference ASD children is linked to impaired effective connectivity in brain regions associated with social cognition, emotional responses, social rewards, and social decision-making. This finding further reveals the potential neuropathological mechanisms underlying ASD.

An Analysis of the Evaluation Methods being Applied to Serious Games for Autistic Children

Autism Spectrum Disorder is a neurodevelopment condition that significantly impacts social communication and interaction as well as behavior impairments, including restricted and repetitive patterns of behavior, interests, or activities. In recent years, numerous studies have proposed serious games as a way to aid in the therapy of children with ASD. Hence, it is crucial to evaluate the effectiveness of such games and obtain robust evidence of their positive influence on this type of treatment. In this study, we aim to explore the evaluation of games for autistic children by conducting a Systematic Literature Review. We analyze the methods utilized to evaluate these games, their application and combination, the quality aspects assessed, and the number and characteristics (e.g., age and special need) of the participants involved in the evaluation process. Furthermore, we present a compilation of the study findings for each evaluation method. Our findings reveal that there is no standardized methodology since different methods have been utilized and combined in various ways to evaluate serious games that support the treatment of ASD children. As contributions, this paper provides valuable insights into how serious games have been evaluated in this context and can be useful for researchers and game designers working in the field.

Age-related changes in autism spectrum disorder symptoms among children 3-9 years old

The study focuses on examining of age-related changes in ASD symptoms among children 3-10 years old. Sample consisted of 70 children, of which 21 were children without ASD, but with autistic traits. 881 children from the previous studies were included. The following symptom groups were investigated: 1) “Communication impairments”, 2) “Emotional disturbances”; 3) “Sensory disintegration”; “Disinhibition”; 5) Overall symptoms. Assumptions of this study: 1) there are age-related differences in ASD symptoms among children aged 3-10 years. Results found that overall symptoms statistically significant decreased for ASD children, as well as communication impairments, emotional disturbances, sensory disintegration. Additionally, for children without ASD decreasing is not registered.

Caregiver-child interaction as an effective tool for identifying autism spectrum disorder: evidence from EEG analysis

BackgroundAutism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic.MethodsWe enrolled 85 preschool children (Mean age: 4.90 ± 0.65 years, 70.6% male), including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation among behavioral indicators scores and ASD symptom severity and PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators.ResultsCompared to TD group, both ASD groups demonstrated significant lower scores of SIC, IT, RSC, CIS (all p values < 0.05), and significant higher time for GIS (all p values < 0.01). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. Compared to TD group, PSD values elevated in ASD groups (all p values < 0.05), and was associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%).ConclusionOur results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening.

Eksplorasi Parenting Self Efficacy terhadap Resiliensi Ibu dari Anak dengan Autism Spectrum Disorders

Abstract Background. The presence of an ASD child in the family has an impact on their daily life. The many difficulties and obstacles to raising ASD children will bring about a sense of confidence and the ability to rise from these difficulties. This study aims to find out in more detail the difficulties experienced by mothers when raising children and how parenting self-efficacy affects the resilience of mothers with ASD children. Methods Of Study. This type of research is phenomenological research and the data analysis method used is thematic analysis techniques by conducting interviews with 7 mothers of ASD children. Data collection tool in the form of informed consent and interview protocol. Result. Based on the thematic data analysis, 3 themes have been obtained: (1) Parenting self-efficacy for mothers with ASD children (2) Resilience for mothers with ASD children (3) Parenting self-efficacy for the resilience of mothers with ASD children. The three major themes are supported by the presence of sub-themes in them. Conclusion. The importance of parenting self-efficacy which affects resilience has a positive impact on the lives of mothers with ASD children. So that it will bring joy to the mother and increase the resilience of the mother in caring for children with ASD. Benefits for family members and children with ASD will also be felt if the mother has both abilities. Life in the family will be better and prosperous even with the presence of an ASD child. Keywords: ASD mother, parenting self efficacy, resilience