A Sense of Belonging and Help Seeking: Examining Factors Related to the Mental Health of High School Students with High Autistic Traits without Diagnosis DOI Creative Commons
Tomoko Omiya, Naoko Kumada Deguchi, Takashi Asakura

et al.

Children, Journal Year: 2023, Volume and Issue: 10(12), P. 1927 - 1927

Published: Dec. 14, 2023

Certain individuals are clinically undiagnosed for Autism Spectrum Disorder (ASD) but exhibit strong ASD characteristics. This study examined the differences between a control group and "high autistic traits" involving who scored 9 or higher on Autism-Spectrum Quotient-16 Japanese Version, based their sense of belonging, help-seeking style, relationship with mental health. The participants were 608 public high school students. Of them, 129 (21.2%) 479 (78.8%) in traits groups, respectively. A multiple regression analysis was performed using General Health Questionnaire (GHQ) as dependent variable groups. revealed no two groups regarding grade, gender, physical illness, insomnia, health status; however, they differed avoidant style teacher acceptance. Moreover, scores acceptance showed significantly positive negative association GHQ, results indicated that children internally suppress experiencing distress. Teachers aware these students seek support from seem reluctant to ask them help. can negatively impact traits.

Language: Английский

Autism Spectrum Disorder: Brain Areas Involved, Neurobiological Mechanisms, Diagnoses and Therapies DOI Open Access
Jacopo Lamanna, Jacopo Meldolesi

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(4), P. 2423 - 2423

Published: Feb. 19, 2024

Autism spectrum disorder (ASD), affecting over 2% of the pre-school children population, includes an important fraction conditions accounting for heterogeneity autism. The disease was discovered 75 years ago, and present review, based on critical evaluations recognized ASD studies from beginning 1990, has been further developed by comparative analyses research clinical reports, which have grown progressively in recent up to late 2023. tools necessary identification its related pathologies are genetic epigenetic mutations affected specific interaction with transcription factors chromatin remodeling processes occurring within complexes brain neurons. Most often, ensuing effects induce inhibition/excitation synaptic structures sustained primarily, at dendritic fibers, alterations flat spine response sites. These relevant because synapses, established interactions neurons glial cells, operate as early key targets ASD. pathology is often suspected parents communities then confirmed experiences. final diagnoses mature patients completed combination neuropsychological (cognitive) tests electro-/magneto-encephalography specialized centers. comorbidities, induced such anxieties, depressions, hyperactivities, sleep defects, interact reinforce other diseases, especially schizophrenia. Advanced therapies, prescribed adult control symptoms disease, well-known drugs classical neurologic psychiatric practice. Overall, this review reports discusses advanced knowledge about biological medical properties

Language: Английский

Citations

17
Autism Detection in Children: Integrating Machine Learning and Natural Language Processing in Narrative Analysis DOI Creative Commons
Charalambos Themistocleous, Μαρία Ανδρέου, Eleni Peristeri

et al.

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 459 - 459

Published: May 29, 2024

Despite the consensus that early identification leads to better outcomes for individuals with autism spectrum disorder (ASD), recent research reveals average age of diagnosis in Greek population is approximately six years. However, this delayed by an additional two years families from lower-income or minority backgrounds. These disparities result adverse impacts on intervention outcomes, which are further burdened often time-consuming and labor-intensive language assessments children ASD. There a crucial need tools increase access assessment will be rigorous objective. The current study leverages capabilities artificial intelligence develop reliable practical model distinguishing ASD typically-developing peers based their narrative vocabulary skills. We applied natural processing-based extraction techniques automatically acquire features (narrative skills) storytelling 68 52 children, then trained machine learning models children’s combined expressive data generate behavioral targets effectively differentiate children. According findings, could distinguish achieving accuracy 96%. Specifically, out used, hist gradient boosting XGBoost showed slightly superior performance compared decision trees models, particularly regarding F1 score. results bode well deployment technology ASD, especially those limited services.

Language: Английский

Citations

5
Emotion recognition and social functioning in individuals with autism spectrum condition and intellectual disability DOI Creative Commons
Daniela Tamaš,

Nina Brkić Jovanović,

S Stojkov

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(3), P. e0300973 - e0300973

Published: March 21, 2024

Objective Most previous studies have examined emotion recognition in autism spectrum condition (ASC) without intellectual disability (ID). However, ASC and ID co-occur to a high degree. The main aims of the study were examine individuals with co-occurring (ASC-ID) as compared alone, investigate relationship between social functioning. Methods sample consisted 30 adult participants ASC-ID comparison group 29 ID. Emotion was assessed by facial emotions test, while. functioning responsiveness scale–second edition (SRS-2). Results accuracy significantly lower control ID, especially when it came identifying angry fearful emotions. Participants exhibited more pronounced difficulties those there significant negative correlation accounted for only 8% variability observed Conclusion Our data indicate severe social-perceptual domain everyday ASC-ID.

Language: Английский

Citations

3
Pragmatic competence in people with dual diagnosis: down syndrome and autism spectrum disorder DOI Creative Commons

Sara Cortés Escudero,

Esther Moraleda Sepúlveda

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Feb. 15, 2024

Abstract Background Pragmatics is an area that can be affected in a wide variety of disorders. In this sense, Syndromic Autism defined as disorder which causal link established between associated syndrome and Spectrum Disorder (ASD). Likewise, Down Syndrome (DS) one the main genetically based syndromes ASD described its possible manifestations. direction, people with DS are social beings whereas there seems to specific alteration domain. Methods study, pragmatic performance was analysed sample 72 participants, where comparisons were made scores obtained by children (n = 24), 24) + 24). Results The Social Communication Questionnaire (SCQ), Block Objective Criterial Language Battery (BLOC-SR) Neuropsychology subtest (NEPSY-II) aimed at Theory Mind (ToM) identified significant differences groups. However, two-to-two reported no ASD. Conclusions Although several studies report three proposed groups, our data seem suggest symptomatology Intellectual Developmental (IDD). lack solid scientific evidence regarding comorbid diagnosis makes further research along these lines indispensable. Trial registration This study approved Ethics Committee for Research UCLM reference CEIS-704,511-L8M4.

Language: Английский

Citations

2
A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis DOI Creative Commons
Tania Dehesh, Mohammad Amin Mosleh‐Shirazi, Samira Jafari

et al.

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 22, 2024

There has been conflicting evidence in earlier research on the association between parental age and autism risk. To clarify this association, we conducted a comprehensive meta-analysis of observational studies. The primary objective study was to determine parents' risk offspring. PubMed, EMBASE Web Science were searched for reports published up November 2023. Results from relevant studies pooled using random effects models. Subgroup analyses meta-regression performed examine heterogeneity Studies included that focused children with examined relationship (mother or father) autism.The quality assessed Newcastle–Ottawa Scale (NOS). This 41 articles. low mother (OR = 0.96, (95% CIs: 0.88–1.05) father 1.11, 0.98–1.24) not significantly associated lower children. Conversely, greater paternal maternal ages an increased their adjusted odds ratios mothers' fathers' 1.47 1.33–1.62) 1.51 1.40–1.62), respectively. Increased is ages. Further needed gain further insight into mechanisms responsible findings previous children's have mixed. Therefore, by carefully examining number investigations, aimed exact According study's findings, parents who are older higher chance child getting autism. In other words, more likely develop causes relationship, however, still unclear. shows can be one factors childs.

Language: Английский

Citations

2
What influences parental burnout in parents of children with autism spectrum disorder in China? A qualitative study DOI
Xiaohe Ren, Yingying Cai, Mengyuan Zhang

et al.

Current Psychology, Journal Year: 2024, Volume and Issue: 43(32), P. 26193 - 26204

Published: July 9, 2024

Language: Английский

Citations

0
Video-audio neural network ensemble for comprehensive screening of autism spectrum disorder in young children DOI Creative Commons
Shreyasvi Natraj, Nada Kojovic, Thomas Maillart

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0308388 - e0308388

Published: Oct. 3, 2024

A timely diagnosis of autism is paramount to allow early therapeutic intervention in preschoolers. Deep Learning tools have been increasingly used identify specific autistic symptoms. But they also offer opportunities for broad automated detection at an age. Here, we leverage a multi-modal approach by combining two neural networks trained on video and audio features semi-standardized social interactions sample 160 children aged 1 5 years old. Our ensemble model performs with accuracy 82.5% (F1 score: 0.816, Precision: 0.775, Recall: 0.861) screening Autism Spectrum Disorders (ASD). Additional combinations our were developed achieve higher specificity (92.5%, i.e., few false negatives) or sensitivity (90%, i.e. positives). Finally, found relationship between the network modalities versus ASD characteristics, bringing evidence that implementation was effective taking into account different are currently standardized under gold standard assessment.

Language: Английский

Citations

0
Investigating Sex-Based Neural Differences in Autism and Their Extended Reality Intervention Implications DOI Creative Commons
Rehma Razzak,

Joy Li,

Selena He

et al.

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(11), P. 1571 - 1571

Published: Nov. 9, 2023

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, and there is growing interest in the use extended reality (XR) technologies for intervention. Despite promising potential XR interventions, remain gaps our understanding neurobiological mechanisms underlying ASD, particularly relation to sex-based differences. This scoping review synthesizes current research on brain activity patterns emphasizing implications interventions neurofeedback therapy. We examine regions commonly affected by benefits drawbacks technologies, sex-specific differences designing effective interventions. Our findings underscore need ongoing into underpinnings ASD differences, as well importance developing tailored that consider unique needs experiences autistic individuals.

Language: Английский

Citations

0
A Sense of Belonging and Help Seeking: Examining Factors Related to the Mental Health of High School Students with High Autistic Traits without Diagnosis DOI Creative Commons
Tomoko Omiya, Naoko Kumada Deguchi, Takashi Asakura

et al.

Children, Journal Year: 2023, Volume and Issue: 10(12), P. 1927 - 1927

Published: Dec. 14, 2023

Certain individuals are clinically undiagnosed for Autism Spectrum Disorder (ASD) but exhibit strong ASD characteristics. This study examined the differences between a control group and "high autistic traits" involving who scored 9 or higher on Autism-Spectrum Quotient-16 Japanese Version, based their sense of belonging, help-seeking style, relationship with mental health. The participants were 608 public high school students. Of them, 129 (21.2%) 479 (78.8%) in traits groups, respectively. A multiple regression analysis was performed using General Health Questionnaire (GHQ) as dependent variable groups. revealed no two groups regarding grade, gender, physical illness, insomnia, health status; however, they differed avoidant style teacher acceptance. Moreover, scores acceptance showed significantly positive negative association GHQ, results indicated that children internally suppress experiencing distress. Teachers aware these students seek support from seem reluctant to ask them help. can negatively impact traits.

Language: Английский

Citations

0