ABSTRACT
La falta de información sobre el uso de la tecnología en niños con trastorno del espectro autista (TEA) de diferentes perfiles puede dificultar que docentes y alumnos se estén beneficiando del apoyo tecnológico más eficaz y ajustado a sus necesidades. El objetivo de esta revisión fue analizar y sintetizar la evidencia científica sobre la eficacia de los recursos tecnológicos en la mejora de la comprensión emocional de estudiantes con TEA con perfiles de alto y bajo funcionamiento. Para ello se realizó una revisión sistemática de las publicaciones científicas indexadas en algunas de las bases de datos de mayor relevancia siguiendo los criterios establecidos en la declaración PRISMA. En total se analizaron 38 artículos que cumplieron con los criterios de inclusión preestablecidos. Los resultados muestran la importancia de diseñar sistemas versátiles que puedan personalizarse y adaptarse en tiempo real y en contextos naturales con un enfoque claramente inclusivo. Pero también sugieren que la tecnología puede no ser una herramienta de intervención complementaria adecuada para todos los niños con TEA. Lo que subraya la necesidad de ensayos adicionales bien controlados sobre las características que permitan identificar qué estudiantes podrían o no beneficiarse de diferentes modalidades de tecnología. (AU)
The lack of information on the use of technology in children with autism spectrum disorder (ASD) of different profiles can make it difficult for teachers and students to benefit from the most effective technology support tailored to their needs. The aim of this review was to analyze and synthesize scientific evidence on the effectiveness of technological resources in improving the emotional understanding of students with high and low functioning ASD profiles. A systematic review of the scientific publications indexed in some of the most relevant databases was carried out following the criteria established in the PRISMA declaration. A total of 38 articles that met the pre-established inclusion criteria were analyzed. The results show the importance of designing versatile systems that can be customized and adapted in real time and in natural contexts with a clearly inclusive approach. But they also suggest that technology may not be an appropriate complementary intervention tool for all children with ASD. This underlines the need for additional well-controlled tests on the characteristics that would allow identifying which students might or might not benefit from different technology modalities. (AU)
Subject(s)
Humans , Child, Preschool , Child , Adolescent , Educational Technology , Autism Spectrum Disorder , Autistic DisorderABSTRACT
La falta de información sobre el uso de la tecnología en niños con trastorno del espectro autista (TEA) de diferentes perfiles puede dificultar que docentes y alumnos se estén beneficiando del apoyo tecnológico más eficaz y ajustado a sus necesidades. El objetivo de esta revisión fue analizar y sintetizar la evidencia científica sobre la eficacia de los recursos tecnológicos en la mejora de la comprensión emocional de estudiantes con TEA con perfiles de alto y bajo funcionamiento. Para ello se realizó una revisión sistemática de las publicaciones científicas indexadas en algunas de las bases de datos de mayor relevancia siguiendo los criterios establecidos en la declaración PRISMA. En total se analizaron 38 artículos que cumplieron con los criterios de inclusión preestablecidos. Los resultados muestran la importancia de diseñar sistemas versátiles que puedan personalizarse y adaptarse en tiempo real y en contextos naturales con un enfoque claramente inclusivo. Pero también sugieren que la tecnología puede no ser una herramienta de intervención complementaria adecuada para todos los niños con TEA. Lo que subraya la necesidad de ensayos adicionales bien controlados sobre las características que permitan identificar qué estudiantes podrían o no beneficiarse de diferentes modalidades de tecnología. (AU)
The lack of information on the use of technology in children with autism spectrum disorder (ASD) of different profiles can make it difficult for teachers and students to benefit from the most effective technology support tailored to their needs. The aim of this review was to analyze and synthesize scientific evidence on the effectiveness of technological resources in improving the emotional understanding of students with high and low functioning ASD profiles. A systematic review of the scientific publications indexed in some of the most relevant databases was carried out following the criteria established in the PRISMA declaration. A total of 38 articles that met the pre-established inclusion criteria were analyzed. The results show the importance of designing versatile systems that can be customized and adapted in real time and in natural contexts with a clearly inclusive approach. But they also suggest that technology may not be an appropriate complementary intervention tool for all children with ASD. This underlines the need for additional well-controlled tests on the characteristics that would allow identifying which students might or might not benefit from different technology modalities. (AU)
Subject(s)
Humans , Child, Preschool , Child , Adolescent , Educational Technology , Autism Spectrum Disorder , Autistic DisorderABSTRACT
INTRODUCTION: Having more "autistic traits" is associated with an increased risk of mental health conditions. However, few studies have examined autistic traits in nonclinical samples. This study aims to analyze the relationship between autistic traits and internalizing symptoms among early adolescents and to examine the moderating effect of self-efficacy. METHODS: Survey data were collected from early adolescents ages 10-14 living in Darjeeling, India (n = 274) to assess autistic traits, self-efficacy, and internalizing symptoms. RESULTS: Higher internalizing symptoms were significantly associated with a higher report of autistic traits. Academic, social, and emotional dimensions of self-efficacy moderated the relationship between autistic traits and internalizing symptoms. CONCLUSION: The moderation effects between social and emotional self-efficacy among youth with high versus low autism trait scores suggest the need for social-emotional learning interventions designed for and with neurodivergent youth. Such interventions aim to reduce internalizing symptoms during early adolescence and improve future mental health trajectories.
Subject(s)
Self Efficacy , Humans , Adolescent , Male , Female , India , Child , Autistic Disorder/psychology , Anxiety/psychology , Emotions/physiologyABSTRACT
This study had two aims. First, we aimed to investigate the prevalence of ACB, PCB, and oral habits among a group of Albanian children with ASD compared with a group of children without ASD. Second, we aimed to identify the associations of ASD with ACB, PCB, and oral habits. The sample inlcuded 125 children with ASD (91 males, 34 females) from 2 special schools for children with disabilities and 2 daily residential centers in Tirana. The control group included 125 children without ASD. The relationships between categorical variables were evaluated via the chi-square test. To identify the potential risk factors for ASD, we performed binary logistic regression. No statistically significant differences were found for CB or oral habits between the primary and adolescent dentition stages. A comparison of children with ASD with CB and oral habits revealed a significant difference in the prevalence of PCB. Binary logistic regression revealed that ACB, PCB and oral habits were not associated with ASD. CB was more prevalent among children with ASD in the primary and mixed dentition stages. Oral habits were more prevalent in the mixed and adolescent dentition stages. However, ASD is not a risk factor for CB or other oral habits.
Subject(s)
Autistic Disorder , Humans , Male , Female , Child , Albania/epidemiology , Adolescent , Prevalence , Autistic Disorder/epidemiology , Risk Factors , Child, Preschool , Malocclusion/epidemiology , Autism Spectrum Disorder/epidemiology , Dentition, Mixed , HabitsABSTRACT
While alterations in both physiological responses to others' emotions as well as interoceptive abilities have been identified in autism, their relevance in altered emotion recognition is largely unknown. We here examined the role of interoceptive ability, facial mimicry, and autistic traits in facial emotion processing in non-autistic individuals. In an online Experiment 1, participants (N = 99) performed a facial emotion recognition task, including ratings of perceived emotional intensity and confidence in emotion recognition, and reported on trait interoceptive accuracy, interoceptive sensibility and autistic traits. In a follow-up lab Experiment 2 involving 100 participants, we replicated the online experiment and additionally investigated the relationship between facial mimicry (measured through electromyography), cardiac interoceptive accuracy (evaluated using a heartbeat discrimination task), and autistic traits in relation to emotion processing. Across experiments, neither interoception measures nor facial mimicry accounted for a reduced recognition of specific expressions with higher autistic traits. Higher trait interoceptive accuracy was rather associated with more confidence in correct recognition of some expressions, as well as with higher ratings of their perceived emotional intensity. Exploratory analyses indicated that those higher intensity ratings might result from a stronger integration of instant facial muscle activations, which seem to be less integrated in intensity ratings with higher autistic traits. Future studies should test whether facial muscle activity, and physiological signals in general, are correspondingly less predictive of perceiving emotionality in others in individuals on the autism spectrum, and whether training interoceptive abilities might facilitate the interpretation of emotional expressions.
Subject(s)
Autistic Disorder , Emotions , Facial Expression , Individuality , Interoception , Humans , Male , Female , Interoception/physiology , Emotions/physiology , Adult , Autistic Disorder/physiopathology , Autistic Disorder/psychology , Young Adult , Adolescent , Facial Recognition/physiology , Recognition, Psychology/physiologyABSTRACT
SOURCE CITATION: Ahlqvist VH, Sjöqvist H, Dalman C, et al. Acetaminophen use during pregnancy and children's risk of autism, ADHD, and intellectual disability. JAMA. 2024;331:1205-1214. 38592388.
Subject(s)
Acetaminophen , Attention Deficit Disorder with Hyperactivity , Autistic Disorder , Intellectual Disability , Prenatal Exposure Delayed Effects , Humans , Acetaminophen/adverse effects , Female , Pregnancy , Attention Deficit Disorder with Hyperactivity/drug therapy , Autistic Disorder/chemically induced , Analgesics, Non-Narcotic/adverse effects , ChildSubject(s)
Autistic Disorder , Avoidant Restrictive Food Intake Disorder , Vision, Low , Child , Humans , Male , Autistic Disorder/complications , Autistic Disorder/psychology , Avoidant Restrictive Food Intake Disorder/complications , Avoidant Restrictive Food Intake Disorder/physiopathology , Avoidant Restrictive Food Intake Disorder/psychology , Brain/diagnostic imaging , Brain/physiopathology , Diagnosis, Differential , Magnetic Resonance Imaging , Vision, Low/diagnosis , Vision, Low/etiology , Vision, Low/physiopathology , Visual AcuityABSTRACT
BACKGROUND: Emerging biomarker technologies (e.g., MRI, EEG, digital phenotyping, eye-tracking) have potential to move the identification of autism into the first year of life. We investigated the perspectives of parents about the anticipated utility and impact of predicting later autism diagnosis from a biomarker-based test in infancy. METHODS: Parents of infants were interviewed to ascertain receptiveness and perspectives on early (6-12 months) prediction of autism using emerging biomarker technologies. One group had experience parenting an older autistic child (n=30), and the other had no prior autism parenting experience (n=25). Parent responses were analyzed using inductive qualitative coding methods. RESULTS: Almost all parents in both groups were interested in predictive testing for autism, with some stating they would seek testing only if concerned about their infant's development. The primary anticipated advantage of testing was to enable access to earlier intervention. Parents also described the anticipated emotions they would feel in response to test results, actions they might take upon learning their infant was likely to develop autism, attitudes towards predicting a child's future support needs, and the potential impacts of inaccurate prediction. CONCLUSION: In qualitative interviews, parents of infants with and without prior autism experience shared their anticipated motivations and concerns about predictive testing for autism in the first year of life. The primary reported motivators for testing-to have more time to prepare and intervene early-could be constrained by familial resources and service availability. Implications for ethical communication of results, equitable early intervention, and future research are discussed.
Subject(s)
Autistic Disorder , Parents , Humans , Infant , Male , Female , Autistic Disorder/diagnosis , Adult , Biomarkers , Qualitative Research , Autism Spectrum Disorder/diagnosisABSTRACT
BACKGROUND: The neurobiological underpinnings of Autism Spectrum Disorder (ASD) are diverse and likely multifactorial. One possible mechanism is increased oxidative stress leading to altered neurodevelopment and brain function. However, this hypothesis has mostly been tested in post-mortem studies. So far, available in vivo studies in autistic individuals have reported no differences in glutathione (GSH) levels in frontal, occipital, and subcortical regions. However, these studies were limited by the technically challenging quantification of GSH, the main brain antioxidant molecule. This study aimed to overcome previous studies' limitations by using a GSH-tailored spectroscopy sequence and optimised quantification methodology to provide clarity on GSH levels in autistic adults. METHODS: We used spectral editing proton-magnetic resonance spectroscopy (1H-MRS) combined with linear combination model fitting to quantify GSH in the dorsomedial prefrontal cortex (DMPFC) and medial occipital cortex (mOCC) of autistic and non-autistic adults (male and female). We compared GSH levels between groups. We also examined correlations between GSH and current autism symptoms, measured using the Autism Quotient (AQ). RESULTS: Data were available from 31 adult autistic participants (24 males, 7 females) and 40 non-autistic participants (21 males, 16 females); the largest sample to date. The GSH levels did not differ between groups in either region. No correlations with AQ were observed. CONCLUSION: GSH levels as measured using 1H-MRS are unaltered in the DMPFC and mOCC regions of autistic adults, suggesting that oxidative stress in these cortical regions is not a marked neurobiological signature of ASD.
Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Glutathione , Occipital Lobe , Humans , Male , Female , Glutathione/metabolism , Glutathione/analysis , Adult , Occipital Lobe/metabolism , Occipital Lobe/diagnostic imaging , Autism Spectrum Disorder/metabolism , Autistic Disorder/metabolism , Young Adult , Proton Magnetic Resonance Spectroscopy , Frontal Lobe/metabolism , Oxidative Stress , Middle Aged , Prefrontal Cortex/metabolism , Prefrontal Cortex/diagnostic imagingABSTRACT
LAY ABSTRACT: Using telehealth to provide services to families and children with autism has grown since the start of the COVID-19 pandemic. Yet, we still know less about telehealth models that use both virtual sessions and online materials to support families. Research suggests it is important to make sure an intervention matches the characteristics of a child with autism, but fewer studies have examined the importance of matching an intervention to parent characteristics. In this study, we looked at parent characteristics (25 parents included in the study) before a parent coaching telehealth intervention for potty training in autism. We specifically looked at how parent competence (i.e. how confident and effective one feels with parenting) levels before the intervention influenced the usage of online education materials (i.e. podcasts/tip sheets). Results suggested that parents with lower competence used the online materials more often than parents with higher competence, and often made greater gains in parent competence during the intervention. Both parents with lower and higher competence found the intervention acceptable. Future research should study additional parent characteristics in a larger sample to better understand how to tailor interventions to meet both parent and child needs.
Subject(s)
COVID-19 , Mentoring , Parents , Telemedicine , Humans , Parents/education , Female , Mentoring/methods , Male , Adult , COVID-19/prevention & control , Parenting , Child , Autistic Disorder/therapyABSTRACT
BACKGROUND: As a group, autistic children with high support needs (with adaptive functioning in the range of an intellectual disability) are at risk of significant literacy difficulties. We investigated the parent-reported home literacy environment of this group of children. METHOD: Sixty-two parents of autistic children (4.5 to 18.25 years) attending an autism-specific school completed a home literacy survey reporting on their child's: (1) alphabet knowledge, (2) interest in reading, (3) activities/interactions around books, (4) reading ability, and (5) writing ability. RESULTS: We found significant positive correlations between parent-reported child interest in reading and literacy-related interactions and skills, but not with child age. Children using spoken words to communicate obtained significantly greater scores on four home-literacy subscales, but not on reading interest. CONCLUSIONS: A better understanding of the home literacy activities of autistic children with high-support needs is needed to inform educational practices aimed at promoting literacy development in this vulnerable population.
Subject(s)
Literacy , Reading , Humans , Child , Male , Female , Adolescent , Child, Preschool , Autistic Disorder , Writing , Autism Spectrum DisorderABSTRACT
The PI20 is a self-report questionnaire that assesses the presence of lifelong face recognition difficulties. The items on this scale ask respondents to assess their face recognition ability relative to the rest of the population, either explicitly or implicitly. Recent reports suggest that the PI20 scores of autistic participants exhibit little or no correlation with their performance on the Cambridge Face Memory Test-a key measure of face recognition ability. These reports are suggestive of a meta-cognitive deficit whereby autistic individuals are unable to infer whether their face recognition is impaired relative to the wider population. In the present study, however, we observed significant correlations between the PI20 scores of 77 autistic adults and their performance on two variants of the Cambridge Face Memory Test. These findings indicate that autistic individuals can infer whether their face recognition ability is impaired. Consistent with previous research, we observed a wide spread of face recognition abilities within our autistic sample. While some individuals approached ceiling levels of performance, others met the prevailing diagnostic criteria for developmental prosopagnosia. This variability showed little or no association with non-verbal intelligence, autism severity, or the presence of co-occurring alexithymia or ADHD.
Subject(s)
Autistic Disorder , Facial Recognition , Humans , Male , Female , Adult , Autistic Disorder/psychology , Young Adult , Middle Aged , Adolescent , Surveys and Questionnaires , Recognition, Psychology , Prosopagnosia/psychology , Prosopagnosia/physiopathologyABSTRACT
BACKGROUND AND OBJECTIVE: Autosomal recessive genetic disorders pose significant health challenges in regions where consanguineous marriages are prevalent. The utilization of exome sequencing as a frequently employed methodology has enabled a clear delineation of diagnostic efficacy and mode of inheritance within multiplex consanguineous families. However, these aspects remain less elucidated within simplex families. METHODS: In this study involving 12 unrelated simplex Iranian families presenting syndromic autism, we conducted singleton exome sequencing. The identified genetic variants were validated using Sanger sequencing, and for the missense variants in FOXG1 and DMD, 3D protein structure modeling was carried out to substantiate their pathogenicity. To examine the expression patterns of the candidate genes in the fetal brain, adult brain, and muscle, RT-qPCR was employed. RESULTS: In four families, we detected an autosomal dominant gene (FOXG1), an autosomal recessive gene (CHKB), and two X-linked autism genes (IQSEC2 and DMD), indicating diverse inheritance patterns. In the remaining eight families, we were unable to identify any disease-associated genes. As a result, our variant detection rate stood at 33.3% (4/12), surpassing rates reported in similar studies of smaller cohorts. Among the four newly identified coding variants, three are de novo (heterozygous variant p.Trp546Ter in IQSEC2, heterozygous variant p.Ala188Glu in FOXG1, and hemizygous variant p.Leu211Met in DMD), while the homozygous variant p.Glu128Ter in CHKB was inherited from both healthy heterozygous parents. 3D protein structure modeling was carried out for the missense variants in FOXG1 and DMD, which predicted steric hindrance and spatial inhibition, respectively, supporting the pathogenicity of these human mutants. Additionally, the nonsense variant in CHKB is anticipated to influence its dimerization - crucial for choline kinase function - and the nonsense variant in IQSEC2 is predicted to eliminate three functional domains. Consequently, these distinct variants found in four unrelated individuals with autism are likely indicative of loss-of-function mutations. CONCLUSIONS: In our two syndromic autism families, we discovered variants in two muscular dystrophy genes, DMD and CHKB. Given that DMD and CHKB are recognized for their participation in the non-cognitive manifestations of muscular dystrophy, it indicates that some genes transcend the boundary of apparently unrelated clinical categories, thereby establishing a novel connection between ASD and muscular dystrophy. Our findings also shed light on the complex inheritance patterns observed in Iranian consanguineous simplex families and emphasize the connection between autism spectrum disorder and muscular dystrophy. This underscores a likely genetic convergence between neurodevelopmental and neuromuscular disorders.
Subject(s)
Consanguinity , Exome Sequencing , Pedigree , Humans , Iran , Male , Female , Autistic Disorder/genetics , Child , Forkhead Transcription Factors/genetics , Nerve Tissue Proteins/genetics , Adult , Syndrome , Exome/genetics , Child, PreschoolABSTRACT
BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak has had a profoundly negative impact on people all over the world, particularly those with disabilities such as autism. However, there are gaps in research understanding the impact of COVID-19 on this population and the support required. AIM: To explore the evidence available on the impact of the COVID-19 pandemic on caregivers of children with autism. METHOD: A scoping review methodology using the Arksey and O'Malley framework was employed. Five electronic databases from March 2020 to December 2022 were reviewed. Two thousand two hundred and six articles were retrieved with primary search terms: caregivers (population), autism (diagnosis) and COVID-19 (context). Following the screening of titles, abstracts and articles, 36 articles were included in the final review. Thematic and content qualitative analysis was completed. RESULTS: Preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews (PRISMA-ScR) guided the reporting of the findings. Three main themes were identified: (1) caregiver's mental health and wellbeing, (2) response to remote health care and support and (3) caregiver resilience. CONCLUSION: The pandemic affected children with autism and their families regarding changes in routine, difficulties with support and emotional states. However, little research has been conducted on the impact in upper-middle-income countries such as South Africa.Contribution: The findings from this review carry practical implications that extend beyond the pandemic, such as political instability or natural disasters that may present similar stressors for children with autism and their families.
Subject(s)
Autistic Disorder , COVID-19 , Caregivers , Humans , Caregivers/psychology , Child , Autistic Disorder/psychology , SARS-CoV-2 , Mental Health , Resilience, Psychological , PandemicsABSTRACT
One of the main drivers of autism spectrum disorder is risk alleles within hundreds of genes, which may interact within shared but unknown protein complexes. Here we develop a scalable genome-editing-mediated approach to target 14 high-confidence autism risk genes within the mouse brain for proximity-based endogenous proteomics, achieving the identification of high-specificity spatial proteomes. The resulting native proximity proteomes are enriched for human genes dysregulated in the brain of autistic individuals, and reveal proximity interactions between proteins from high-confidence risk genes with those of lower-confidence that may provide new avenues to prioritize genetic risk. Importantly, the datasets are enriched for shared cellular functions and genetic interactions that may underlie the condition. We test this notion by spatial proteomics and CRISPR-based regulation of expression in two autism models, demonstrating functional interactions that modulate mechanisms of their dysregulation. Together, these results reveal native proteome networks in vivo relevant to autism, providing new inroads for understanding and manipulating the cellular drivers underpinning its etiology.
Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Brain , Disease Models, Animal , Proteome , Proteomics , Animals , Proteome/metabolism , Mice , Humans , Brain/metabolism , Proteomics/methods , Autistic Disorder/genetics , Autistic Disorder/metabolism , Autism Spectrum Disorder/metabolism , Autism Spectrum Disorder/genetics , Phenotype , Gene Editing , Male , Genetic Predisposition to Disease , Mice, Inbred C57BL , Female , CRISPR-Cas SystemsABSTRACT
Pupillary contagion occurs when one's pupil size unconsciously adapts to the pupil size of an observed individual and is presumed to reflect the transfer of arousal. Importantly, when estimating pupil contagion, low level stimuli properties need to be controlled for, to ensure that observations of pupillary changes are due to internal change in arousal rather than the external differences between stimuli. Here, naturalistic images of children's faces depicting either small or large pupils were presented to a group of children and adolescents with a wide range of autistic traits, a third of whom had been diagnosed with autism. We examined the extent to which pupillary contagion reflects autonomic nervous system reaction through pupil size change, heart rate and skin conductance response. Our second aim was to determine the association between arousal reaction to stimuli and degree of autistic traits. Results show that pupil contagion and concomitant heart rate change, but not skin conductance change, was evident when gaze was restricted to the eye region of face stimuli. A positive association was also observed between pupillary contagion and autistic traits when participants' gaze was constrained to the eye region. Findings add to a broader understanding of the mechanisms underlying pupillary contagion and its association with autism.
Subject(s)
Arousal , Autistic Disorder , Heart Rate , Pupil , Humans , Pupil/physiology , Male , Female , Arousal/physiology , Adolescent , Child , Autistic Disorder/physiopathology , Heart Rate/physiology , Fixation, Ocular/physiology , Galvanic Skin Response/physiology , Photic Stimulation , Autonomic Nervous System/physiology , Autonomic Nervous System/physiopathologyABSTRACT
INTRODUCTION: Autistic individuals, parents, organizations, and healthcare systems worldwide are actively sharing content aimed at increasing awareness about autism. This study aims at analyzing the type of contents presented in TikTok and YouTube Shorts videos under the hashtag #actuallyautistic and their potential to increase autism awareness. METHODS: A sample of 60 videos were downloaded and analyzed (n=30 from TikTok and n=30 from YouTube Shorts). Video contents were analyzed using both thematic analysis and the AFINN sentiment analysis tool. The understandability and actionability of the videos were assessed with The Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT A/V). RESULTS: The contents of these videos covered five main themes: Stigmatization; Sensory difficulties; Masking; Stimming; and Communication difficulties. No statistically significant differences were found on sentiment expressed on videos from both channels. TikTok videos received significantly more views, comments, and likes than videos on YouTube Shorts. The PEMAT A/V tool showed that there is a high level of understandability, but little reference to actionability. DISCUSSION: Autistic people videos content spread valid and reliable information in hopes of normalizing difficulties and provide hope and comfort to others in similar situations. CONCLUSIONS: Social media videos posted by autistic individuals provide accurate portrayals about autism but lack information on actionability. These shared personal stories can help increase public literacy about autism, dispel autism stigmas and emphasize individuality.
Subject(s)
Autistic Disorder , Social Media , Video Recording , HumansABSTRACT
Searches for autism on social media have soared, making it a top topic. Social media posts convey not only plain text, but also sentiments and emotions that provide insight into the experiences of the autism community. While sentiment analysis categorizes overall sentiment, emotion analysis provides nuanced insights into specific emotional states. The objective of this study is to identify emotions in posts related to autism and compare the emotions specifically contained in posts that include the hashtag #ActuallyAutistic with those that do not. METHODS: We extracted a sample of X' posts related to autism and used DistilBERT to assign one out of six emotions (sadness, joy, love, anger, fear, surprise) to each post. RESULTS: We have analyzed a total of 414,287 posts, 98,602 (23.8%) of those included the hashtag #ActuallyAutistic. The most common expressed emotion was joy, which was expressed in 52.5% of the posts, followed by sadness, identified in 28.6% of the posts. 12% of the posts expressed fear, 4.9% reflected anger, 1.1% showed love, and 0.9% expressed surprise. Posts tagged as #ActuallyAutistic showed less joy (27.1% vs. 60.4% in posts without this hashtag, p<0.001) and more sadness (52.7% vs. 21.1% in those without the hashtag, p<0.001). CONCLUSIONS: The use of the hashtag #ActuallyAutistic is associated with a different emotional tone, characterized by less joy and more sadness. These results suggest the need for greater support and acceptance towards the autistic community, both online and in society in general. Insights from our study can be valuable for policy makers, health, educational or other programmes aiming at enhancing well-being, inclusiveness, improve services, and create a more compassionate and understanding atmosphere for autistic people.
Subject(s)
Autistic Disorder , Emotions , Social Media , Humans , Autistic Disorder/psychologyABSTRACT
Maternal malnutrition has been associated with neurodevelopmental deficits and long-term implications on the offspring's health and behavior. Here, we investigated the effects of maternal low-protein diet (LPD) or obesity-inducing maternal high-fat diet (HFD) on dyadic social interactions, group organization and autism-related behaviors in mice. We found that maternal HFD induced an autism-related behavioral phenotype in the male offspring, including a robust decrease in sociability, increased aggression, cognitive rigidity and repetitive behaviors. Maternal LPD led to a milder yet significant effect on autism-related symptoms, with no effects on olfactory-mediated social behavior. Under naturalistic conditions in a group setting, this manifested in altered behavioral repertoires, increased magnitude in dominance relations, and reduced interactions with novel social stimuli in the HFD male offspring, but not in the LPD offspring. Finally, we found HFD-induced transcriptomic changes in the olfactory bulbs of the male offspring. Together, our findings show that maternal malnutrition induces long-lasting effects on aggression and autism-related behaviors in male offspring, and potential impairments in brain regions processing chemosensory signals.
Subject(s)
Autistic Disorder , Behavior, Animal , Diet, High-Fat , Diet, Protein-Restricted , Social Behavior , Animals , Diet, High-Fat/adverse effects , Female , Male , Mice , Autistic Disorder/etiology , Autistic Disorder/metabolism , Pregnancy , Diet, Protein-Restricted/adverse effects , Aggression , Prenatal Exposure Delayed Effects/metabolism , Mice, Inbred C57BL , Maternal Nutritional Physiological Phenomena , Olfactory Bulb/metabolism , Disease Models, Animal , Obesity/metabolism , Obesity/etiologyABSTRACT
Autism spectrum disorders (ASD) can be caused by environmental factors. These factors act early in the development of the nervous system and induce stereotyped repetitive behaviors and diminished social interactions, among other outcomes. Little is known about how these behaviors are produced. In pregnant women, delivery of valproic acid (VPA) (to control seizure activity or stabilize mood) or immune activation by a virus increases the incidence of ASD in offspring. We found that either VPA or Poly Inosine:Cytosine (which mimics a viral infection), administered at mouse embryonic day 12.5, induced a neurotransmitter switch from GABA to glutamate in PV- and CCK-expressing interneurons in the medial prefrontal cortex by postnatal day 10. The switch was present for only a brief period during early postnatal development, observed in male and female mice at postnatal day 21 and reversed in both males and females by postnatal day 30. At postnatal day 90, male mice exhibited stereotyped repetitive behaviors and diminished social interaction while female mice exhibited only stereotyped repetitive behavior. Transfecting GAD1 in PV- and CCK-expressing interneurons at postnatal day 10, to reintroduce GABA expression, overrode the switch and prevented expression of autistic-like behavior. These findings point to an important role of neurotransmitter switching in mediating the environmental causes of autism.