scholarly journals Neonatal jaundice in association with autism spectrum disorder and developmental disorder

2019 ◽  
Vol 40 (2) ◽  
pp. 219-225 ◽  
Author(s):  
Christina Cordero ◽  
Laura A. Schieve ◽  
Lisa A. Croen ◽  
Stephanie M. Engel ◽  
Anna Maria Siega-Riz ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Neonatal Jaundice ◽  
Developmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder

scholarly journals A novel automated autism spectrum disorder detection system

2021 ◽  
Author(s):  
Shu Lih Oh ◽  
V. Jahmunah ◽  
N. Arunkumar ◽  
Enas W. Abdulhay ◽  
Raj Gururajan ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Detection System ◽  
Brain Activity ◽  
Limited Range ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Nonlinear Features ◽  
Genetic And Environmental Factors ◽  
Future Work

AbstractAutism spectrum disorder (ASD) is a neurological and developmental disorder that begins early in childhood and lasts throughout a person’s life. Autism is influenced by both genetic and environmental factors. Lack of social interaction, communication problems, and a limited range of behaviors and interests are possible characteristics of autism in children, alongside other symptoms. Electroencephalograms provide useful information about changes in brain activity and hence are efficaciously used for diagnosis of neurological disease. Eighteen nonlinear features were extracted from EEG signals of 40 children with a diagnosis of autism spectrum disorder and 37 children with no diagnosis of neuro developmental disorder children. Feature selection was performed using Student’s t test, and Marginal Fisher Analysis was employed for data reduction. The features were ranked according to Student’s t test. The three most significant features were used to develop the autism index, while the ranked feature set was input to SVM polynomials 1, 2, and 3 for classification. The SVM polynomial 2 yielded the highest classification accuracy of 98.70% with 20 features. The developed classification system is likely to aid healthcare professionals as a diagnostic tool to detect autism. With more data, in our future work, we intend to employ deep learning models and to explore a cloud-based detection system for the detection of autism. Our study is novel, as we have analyzed all nonlinear features, and we are one of the first groups to have uniquely developed an autism (ASD) index using the extracted features.

scholarly journals Prenatal Risk for Autism Spectrum Disorder (ASD): Fetal Cortisol Exposure Predicts Child ASD Symptoms

2018 ◽  
Vol 7 (2) ◽  
pp. 349-361 ◽  
Author(s):  
Sheena Ram ◽  
Mariann A. Howland ◽  
Curt A. Sandman ◽  
Elysia Poggi Davis ◽  
Laura M. Glynn
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Maternal Plasma ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sexually Dimorphic ◽  
Fetal Exposure ◽  
Prospective Longitudinal Study ◽  
The Social ◽  
Prospective Longitudinal

The etiology of autism spectrum disorder (ASD) is multifactorial, complex, and likely involves interactions among genetic, epigenetic, and environmental factors. With respect to environmental influences, a growing literature implicates intrauterine experiences in the origin of this pervasive developmental disorder. In this prospective longitudinal study, we examined the hypothesis that fetal exposure to maternal cortisol may confer ASD risk. In addition, because ASD is four times more prevalent in males than in females, and because sexually dimorphic responses to intrauterine experiences are commonly observed, we examined whether or not any associations differ by fetal sex. Maternal plasma cortisol was measured at 15, 19, 25, 31, and 37 weeks’ gestation in a sample of 84 pregnant women. ASD symptoms were assessed in their 5-year-old children with the Social Communication Questionnaire (SCQ). Fetal exposure to lower levels of maternal cortisol was associated with higher levels of ASD symptoms only among boys. The observed hypocortisolemic profile exhibited by these mothers may indicate a risk factor that precedes the stress of caregiving for a child with ASD and may not be solely a consequence of the stress of caregiving, as previously thought. These findings confirm the value of examining prenatal hormone exposures as predictors of ASD risk and support the premise that altered prenatal steroid exposures may play a role in the etiology of ASD.

scholarly journals The Association between Autism Spectrum Disorder and Pre- and Postnatal Antibiotic Exposure in Childhood—A Systematic Review with Meta-Analysis

2019 ◽  
Vol 16 (20) ◽  
pp. 4042 ◽  
Author(s):  
Eunmi Lee ◽  
Jeonghyun Cho ◽  
Ka Young Kim
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Web Of Science ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Cochrane Library ◽  
Antibiotic Exposure ◽  
Children With Asd ◽  
Meta Analyses

Autism spectrum disorder (ASD) is a developmental disorder that begins in early childhood and has been associated with several environmental and genetic factors. We aimed to conduct two-side meta-analyses to determine the association between ASD and pre- and postnatal antibiotic exposure in childhood. We searched PubMed, Embase, Web of Science, and Cochrane Library for articles published up to February 2019. We evaluated observational studies that assessed the association between ASD and antibiotic exposure. Of 1459 articles, nine studies were used in the meta-analysis. We found that early antibiotic exposure, including pre- and postnatal, significantly increased the ASD risk in children. Furthermore, early antibiotic exposure, including pre- and postnatal, was significantly increased in children with ASD. Specifically, prenatal antibiotic exposure was significantly increased in children with ASD; however, postnatal antibiotic exposure was not. Our results indicate an association between ASD and early antibiotic exposure; specifically, that prenatal antibiotic exposure is an important risk factor of ASD in children.

scholarly journals Parent Training Program for Autism Spectrum Disorder During The Covid-19 Pandemic Period in Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 60
Author(s):  
Ina Dewi Ardiyani ◽  
Nining Febriyana ◽  
Yunias Setiawati ◽  
Royke Tony Kalalo
Keyword(s):  
Autism Spectrum Disorder ◽  
Early Intervention ◽  
Social Interaction ◽  
Parent Training ◽  
Developmental Disorder ◽  
Primary Caregivers ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Treatment Service ◽  
Parent Training Program

Autism Spectrum Disorder (ASD) is a pervasive developmental disorder that shows difficulties in communication, social interaction, behavior, interests and activities that are limited and repetitive. The prevalence of ASD also continues to increase worldwide, followed by an increase in the need for early intervention in ASD children. The limited services available make early intervention a challenge in itself. The long Covid-19 pandemic has resulted in limited therapy, because therapy in treatment service facilities cannot be carried out as before. In this case it is important to involve parents as the primary caregivers for ASD children in interventions to anticipate the limited interventions due to a pandemic situation. Parent Training can be done as an effort to provide information, education, and skills to parents so that they can provide intensive, comprehensive, sustainable, and early intervention.

scholarly journals AUTISM SPECTRUM DISORDER AND POSTNATAL FACTORS: A CASE-CONTROL STUDY IN BRAZIL

2019 ◽  
Vol 37 (4) ◽  
pp. 398-405
Author(s):  
Fernanda Alves Maia ◽  
Liliane Marta Mendes Oliveira ◽  
Maria Tereza Carvalho Almeida ◽  
Maria Rachel Alves ◽  
Vanessa Souza de Araújo Saeger ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Neonatal Jaundice ◽  
Case Control Study ◽  
Autism Spectrum ◽  
Case Control ◽  
Spectrum Disorder ◽  
Seizure Episode ◽  
Postnatal Factors ◽  
Control Study ◽  
Structured Questionnaire

ABSTRACT Objective: To estimate the magnitude of the association between Autism Spectrum Disorder (ASD) and postnatal factors in a Brazilian population. Methods: A case-control study was performed with 253 individuals diagnosed with ASD and 886 individuals without signs of the disorder. A semi-structured questionnaire and the multiple logistic regression model were adopted in the data analysis. To estimate the magnitude of associations, the crude and adjusted Odds Ratio (OR) was used. Results: An association with the following factors was found: having been born with congenital malformation (OR 4.24; confidence interval of 95% - 95%CI 1.92-9.34), neonatal jaundice (OR 1.43; 95%CI 1.01-2.02), absence of crying at birth and seizure episode in childhood (OR 5.75; 95%CI 3.37-9.81). The magnitude of the association was higher in the children/adolescents who had two or more postnatal complications (OR 6.39; 95%CI 4.10-10.00). Conclusions: The findings of the present study suggest that malformation, neonatal jaundice, absence of crying at birth and seizure episodes in childhood are important factors to be considered when studying the etiology of ASD.

Assistive technology to support people with autism spectrum disorder in their autonomy and safety: A scoping review

2021 ◽  
pp. 1-11
Author(s):  
Lukas Wohofsky ◽  
Philip Scharf ◽  
Sandra Lattacher ◽  
Daniela Krainer
Keyword(s):  
Autism Spectrum Disorder ◽  
Assistive Technology ◽  
Scoping Review ◽  
Social Life ◽  
Daily Living ◽  
Developmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Need Support ◽  
Balanced Distribution

BACKGROUND: Autism Spectrum Disorder (ASD) is a lifelong developmental disorder with increasing prevalence rates. People affected by ASD do often need support in various activities of daily living mainly provided by formal or informal caregivers. Assistive technology can help to increase autonomy and safety of people on the autism spectrum and thus decrease the burden of care. OBJECTIVE: This study aims to assess the state of the art of assistive technology (AT) that supports autonomy, self-reliance comfort and wellbeing of people with ASD or aiming to prevent dangerous situations or shutdowns, caused by stressful (environmental) situations. Another aim is to analyze the fields of application and type of the proposed technologies and to explore the evaluations conducted. METHODS: A scoping review was carried out where the databases MEDLINE, IEEE and ACM Digital Library were searched. The identified articles were grouped according to the objective of the technology – the supported area of life that is assisted by the proposed systems. Furthermore, the conducted evaluations of the ATs in the papers were analyzed. RESULTS: A total of 40 articles were included in this review with a balanced distribution in the different fields of application (Communication & Social Life; Daily Living Assistants; Safety & Security). Eighteen studies conducted an evaluation of the proposed technology with people with ASD, mainly testing the functionality of the systems. CONCLUSION: The proposed technologies support people in the autism spectrum according to the main outcomes and symptoms of ASD. Further research is needed to determine the usefulness and acceptance of the ATs.

scholarly journals Using emotion recognition technologies to teach children with autism spectrum disorder how to identify and express emotions

2021 ◽  
Author(s):  
Jose Maria Garcia-Garcia ◽  
Victor M. R. Penichet ◽  
Maria D. Lozano ◽  
Anil Fernando
Keyword(s):  
Autism Spectrum Disorder ◽  
Emotion Recognition ◽  
User Interfaces ◽  
Developmental Disorder ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Tangible User Interfaces ◽  
Software Application ◽  
Natural Way

AbstractAutism spectrum disorder (ASD), which since 2013 is considered as an umbrella term for several disorders such as autistic syndrome, Asperger’s disorder and pervasive developmental disorder, is characterized, among other aspects, by deficits in social-emotion reciprocity. This deficit manifests itself as a reduced sharing of emotions and an increased difficulty in interpreting emotions other people are feeling, which in the end leads to more impairments in social communication. Since it is possible to help a person with ASD (especially children) to improve their ability to understand and detect emotions, we have developed a proposal which integrates emotion recognition technologies, often used in the field of HCI, to try to overcome this difficulty. In this paper, we present a novel software application developed as a serious game to teach children with autism spectrum disorder (ASD) to identify and express emotions. The system incorporates cutting-edge technology to support novel interaction mechanisms based on tangible user interfaces (TUIs) and emotion recognition from facial expressions. In this way, children interact with the system in a natural way by simply grasping objects with their hands and using their faces. The system has been assessed on the premises of an association with children with ASD. The outcomes of the evaluation are very positive and support the validity of the proposal.

scholarly journals Impact of MicroRNAs in Interaction With Environmental Factors on Autism Spectrum Disorder: An Exploratory Pilot Study

2021 ◽  
Vol 12 ◽  
Author(s):  
LiHua Cui ◽  
WenRan Du ◽  
Ning Xu ◽  
JingYi Dong ◽  
BingJie Xia ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Environmental Factors ◽  
Neonatal Jaundice ◽  
Maternal Stress ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Control Group ◽  
Psychiatric History ◽  
Healthy Children ◽  
Threatened Abortion

Background: This study aimed to explore the main effects of environmental risk factors as well as their interaction effects with miRNA on the risk of autism spectrum disorder (ASD).Methods: One hundred fifty-nine ASD children (ASD group) and 159 healthy children (control group), aged 2–6 years, were included in this study. ASD diagnoses were based on DSM-5 criteria. The extensive medical and demographic characterization of the two groups were recorded. MicroRNAs (miRNAs) in serum were detected by qRT-PCR.Results: Compared with the control group, the ASD group had significantly higher rates of maternal stress during pregnancy (p < 0.001), maternal drinking during pregnancy (p = 0.006), threatened abortion (p = 0.011), pregnancy-induced hypertension (p = 0.032), gestational diabetes (p = 0.039), maternal anemia during pregnancy (p < 0.001), umbilical cord knot (p < 0.001), neonatal jaundice (p < 0.001), family psychiatric history (p = 0.001), and much lower birth weight (p = 0.012). Furthermore, the ASD group had much lower expression levels of hsa-miR-181b-5p (p < 0.001) and hsa-miR-320a (p < 0.001) and significantly higher levels of hsa-miR-19b-3p (p < 0.001). The interactions of hsa-miR-320a and maternal stress during pregnancy (OR = 39.42, p < 0.001), hsa-miR-19b-3p and neonatal jaundice (OR = 2.44, p < 0.001), and hsa-miR-181b-5p and family psychiatric history (OR = 8.65, p = 0.001) could increase ASD risk.Conclusions: The dysregulation of hsa-miR-181b-5p, hsa-miR-320a, and hsa-miR-19b-3p could interact with environmental factors, such as maternal stress during pregnancy, neonatal jaundice, and family psychiatric history, to impact the risk of ASD.

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