Desarrollo de la comprensión emocional. ¿Qué tipo de tecnología para qué alumno con trastorno del espectro autista? Revisión sistemática / Development of emotional understanding. What type of technology for which student with autism spectrum disorder? Systematic review

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)

Desarrollo de la comprensión emocional. ¿Qué tipo de tecnología para qué alumno con trastorno del espectro autista? Revisión sistemática / Development of emotional understanding. What type of technology for which student with autism spectrum disorder? Systematic review

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)

Abnormal Development of the Corpus Callosum in Autism Spectrum Disorder: An MRI Study.

BACKGROUND: Altered size in the corpus callosum (CC) has been reported in individuals with autism spectrum disorder (ASD), but few studies have investigated younger children. Moreover, knowledge about the age-related changes in CC size in individuals with ASD is limited. OBJECTIVES: Our objective was to investigate the age-related size of the CC and compare them with age-matched healthy controls between the ages of 2 and 18 years. METHODS: Structural-weighted images were acquired in 97 male patients diagnosed with ASD; published data were used for the control group. The CC was segmented into 7 distinct subregions (rostrum, genu, rostral body, anterior midbody, posterior midbody, isthmus, and splenium) as per Witelson's technique using ITK-SNAP software. We calculated both the total length and volume of the CC as well as the length and height of its 7 subregions. The length of the CC measures was studied as both continuous and categorical forms. For the continuous form, Pearson's correlation was used, while categorical forms were based on age ranges reflecting brain expansion during early postnatal years. Differences in CC measures between adjacent age groups in individuals with ASD were assessed using a Student t-test. Mean and standard deviation scores were compared between ASD and control groups using the Welch t-test. RESULTS: Age showed a moderate positive association with the total length of the CC (r = 0.43; Padj = 0.003) among individuals with ASD. Among the subregions, a positive association was observed only in the anterior midbody of the CC (r = 0.41; Padj = 0.01). No association was found between the age and the height of individual subregions or with the total volume of the CC. In comparison with healthy controls, individuals with ASD exhibited shorter lengths and heights of the genu and splenium of the CC across wide age ranges. CONCLUSION: Overall, our results highlight a distinct abnormal developmental trajectory of CC in ASD, particularly in the genu and splenium structures, potentially reflecting underlying pathophysiological mechanisms that warrant further investigation.

Mechanism of the effect of TREM2 on cognitive function in autistic mice.

This study aimed to investigate the mechanism of the effect of TREM2 on cognitive function in autistic mice. TREM2 overexpression and knockdown viruses were given to autism spectrum disorder (ASD) mice and BV2 microglia cell line. To assess cognitive performance, all groups of mice took part in the open field, new object recognition, Morris water maze, and three-box social experiments. Double immunofluorescence labeling demonstrated co-localization of LC3II and NeuN. Proteins from the PI3K/Akt/mTOR pathway were identified. In vivo, behavior studies revealed that TREM2 could successfully improve ASD mice's social interaction and cognitive performance. Besides, we discovered that TREM2 could increase autophagy in ASD mice. In vitro, overexpressing TREM2 reduced the expression of PI3K/AKT/mTOR pathway proteins, whereas knocking down TREM2 increased the expression of PI3K/AKT/mTOR pathway proteins. In conclusion, TREM2 could inhibit PI3K/Akt/mTOR signaling pathway, enhance autophagy, and improve the social communication ability and cognitive function of ASD mice.

The investigation of dysregulated visual perceptual organization in adults with autism spectrum disorders with phase-amplitude coupling and directed connectivity.

Phase-amplitude coupling (PAC) has been used as a powerful tool to understand the mechanism underlying neural binding by investigating neural synchrony across different frequency bands. This study examined the possibility that dysregulated alpha-gamma modulation may be crucially involved in aberrant brain functioning in autism spectrum disorder (ASD). Magnetoencephalographic data were recorded from 13 adult participants with ASD and 16 controls. The time-coursed sources averaged over a primary visual area 1 and fusiform gyrus area were reconstructed with the minimum-norm estimate method. The alpha-gamma PAC was further calculated based on these sources. The statistical analysis was implemented based on the PAC and directed asymmetry index. The results showed the hyper-activity coupling for ASD at the no-face condition and revealed the importance of alpha-gamma phase modulation in detecting a face. Our data provides novel evidence for the role of the alpha-gamma PAC and suggests that the globe connectivity may be more critical during visual perception.

Ideational Praxis, Play, and Playfulness: A Cross-Sectional Study of Autistic Children.

IMPORTANCE: Assessment of praxis skills is an essential aspect of understanding autistic children's development of play and playfulness. OBJECTIVE: To assess the relationship and influence of ideational praxis skills on play skills and playfulness among autistic children. DESIGN: A cross-sectional study. SETTINGS: Homes, schools, and early care centers across Spain. PARTICIPANTS: Children ages 4 yr 6 mo to 6 yr 11 mo (45 typically developing [TP] and 45 with autism spectrum disorder [ASD]). OUTCOMES AND MEASURES: Student's t tests were used to compare means between the two groups. Pearson's correlation and multiple linear regression were used to determine possible effects of ideational skills on play and playfulness. RESULTS: Scores for the TP group were significantly higher than those of the ASD group on all play dimensions-space management, t(88) = 4.58; material management, t(88) = 5.86; pretense-symbolism, t(88) = 8.12; and participation, t(88) = 7.31-and on the Test of Playfulness (ToP), t(88) = 10.18, and Test of Ideational Praxis (TIP), t(88) = 4.38 (all ps < .001). Multiple linear regression revealed a statistically significant effect of TIP dimensions-space management, F(3, 41) = 4.83, p < .042; material management, F(3.41) = 8.49. p < .001; pretense-symbolism, F(3, 41) = 5.66. p < .002; and participation, F(3.41) = 7.81. p < .001-and on the ToP, F(3, 41) = 5.96. p < .002. CONCLUSIONS AND RELEVANCE: Ideational praxis skills combined with diagnostic information significantly predicted play skills and playfulness, highlighting the influence of ideation on play. Plain-Language Summary: This article provides data supporting the influence of ideational praxis skills on the play skills and playfulness of autistic children. Understanding how ideational praxis skills affect the ability to recognize and act on object affordances might promote greater possibilities for play interactions among autistic children.

Optimising the oral midazolam dose for premedication in people with intellectual disabilities and/or autism spectrum disorder.

BACKGROUND: In people with intellectual disabilities and/or autism spectrum disorder, oral midazolam (OM) is very effective as premedication for facilitating medical treatment. In this retrospective study, we investigated the optimal dosage of OM for premedication. METHODS: Patients with intellectual disability and/or autism spectrum disorder who were given OM as a premedication were selected from anaesthesia records. The primary outcome variable was the dose of OM (mg/kg) required to produce an adequate sedation. RESULTS: The mean OM dose required was 0.32 ± 0.10 mg/kg. The required OM dose decreased significantly as age and weight increased, and age and weight were also shown to be significantly associated with the dose of OM in the multivariate linear regression analysis. CONCLUSION: The dosage of OM to achieve adequate sedation should decrease as the patient ages. Furthermore, adequate sedation can be achieved with even lower doses of OM in obese people.

Altered socio-affective communication and amygdala development in mice with protocadherin10-deficient interneurons.

Autism spectrum disorder (ASD) is a group of neurodevelopmental conditions associated with deficits in social interaction and communication, together with repetitive behaviours. The cell adhesion molecule protocadherin10 (PCDH10) is linked to ASD in humans. Pcdh10 is expressed in the nervous system during embryonic and early postnatal development and is important for neural circuit formation. In mice, strong expression of Pcdh10 in the ganglionic eminences and in the basolateral complex (BLC) of the amygdala was observed at mid and late embryonic stages, respectively. Both inhibitory and excitatory neurons expressed Pcdh10 in the BLC at perinatal stages and vocalization-related genes were enriched in Pcdh10-expressing neurons in adult mice. An epitope-tagged Pcdh10-HAV5 mouse line revealed endogenous interactions of PCDH10 with synaptic proteins in the young postnatal telencephalon. Nuanced socio-affective communication changes in call emission rates, acoustic features and call subtype clustering were primarily observed in heterozygous pups of a conditional knockout (cKO) with selective deletion of Pcdh10 in Gsh2-lineage interneurons. These changes were less prominent in heterozygous ubiquitous Pcdh10 KO pups, suggesting that altered anxiety levels associated with Gsh2-lineage interneuron functioning might drive the behavioural effects. Together, loss of Pcdh10 specifically in interneurons contributes to behavioural alterations in socio-affective communication with relevance to ASD.

ASD-SWNet: a novel shared-weight feature extraction and classification network for autism spectrum disorder diagnosis.

The traditional diagnostic process for autism spectrum disorder (ASD) is subjective, where early and accurate diagnosis significantly affects treatment outcomes and life quality. Thus, improving ASD diagnostic methods is critical. This paper proposes ASD-SWNet, a new shared-weight feature extraction and classification network. It resolves the issue found in previous studies of inefficiently integrating unsupervised and supervised learning, thereby enhancing diagnostic precision. The approach utilizes functional magnetic resonance imaging to improve diagnostic accuracy, featuring an autoencoder (AE) with Gaussian noise for robust feature extraction and a tailored convolutional neural network (CNN) for classification. The shared-weight mechanism utilizes features learned by the AE to initialize the convolutional layer weights of the CNN, thereby integrating AE and CNN for joint training. A novel data augmentation strategy for time-series medical data is also introduced, tackling the problem of small sample sizes. Tested on the ABIDE-I dataset through nested ten-fold cross-validation, the method achieved an accuracy of 76.52% and an AUC of 0.81. This approach surpasses existing methods, showing significant enhancements in diagnostic accuracy and robustness. The contribution of this paper lies not only in proposing new methods for ASD diagnosis but also in offering new approaches for other neurological brain diseases.

Autism spectrum disorders detection based on multi-task transformer neural network.

Autism Spectrum Disorders (ASD) are neurodevelopmental disorders that cause people difficulties in social interaction and communication. Identifying ASD patients based on resting-state functional magnetic resonance imaging (rs-fMRI) data is a promising diagnostic tool, but challenging due to the complex and unclear etiology of autism. And it is difficult to effectively identify ASD patients with a single data source (single task). Therefore, to address this challenge, we propose a novel multi-task learning framework for ASD identification based on rs-fMRI data, which can leverage useful information from multiple related tasks to improve the generalization performance of the model. Meanwhile, we adopt an attention mechanism to extract ASD-related features from each rs-fMRI dataset, which can enhance the feature representation and interpretability of the model. The results show that our method outperforms state-of-the-art methods in terms of accuracy, sensitivity and specificity. This work provides a new perspective and solution for ASD identification based on rs-fMRI data using multi-task learning. It also demonstrates the potential and value of machine learning for advancing neuroscience research and clinical practice.

Transcriptome analysis identifies an ASD-Like phenotype in oligodendrocytes and microglia from C58/J amygdala that is dependent on sex and sociability.

BACKGROUND: Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disorders with higher incidence in males and is characterized by atypical verbal/nonverbal communication, restricted interests that can be accompanied by repetitive behavior, and disturbances in social behavior. This study investigated brain mechanisms that contribute to sociability deficits and sex differences in an ASD animal model. METHODS: Sociability was measured in C58/J and C57BL/6J mice using the 3-chamber social choice test. Bulk RNA-Seq and snRNA-Seq identified transcriptional changes in C58/J and C57BL/6J amygdala within which DMRseq was used to measure differentially methylated regions in amygdala. RESULTS: C58/J mice displayed divergent social strata in the 3-chamber test. Transcriptional and pathway signatures revealed immune-related biological processes differ between C58/J and C57BL/6J amygdala. Hypermethylated and hypomethylated genes were identified in C58/J versus C57BL/6J amygdala. snRNA-Seq data in C58/J amygdala identified differential transcriptional signatures within oligodendrocytes and microglia characterized by increased ASD risk gene expression and predicted impaired myelination that was dependent on sex and sociability. RNA velocity, gene regulatory network, and cell communication analysis showed diminished oligodendrocyte/microglia differentiation. Findings were verified using Bulk RNA-Seq and demonstrated oxytocin's beneficial effects on myelin gene expression. LIMITATIONS: Our findings are significant. However, limitations can be noted. The cellular mechanisms linking reduced oligodendrocyte differentiation and reduced myelination to an ASD phenotype in C58/J mice need further investigation. Additional snRNA-Seq and spatial studies would determine if effects in oligodendrocytes/microglia are unique to amygdala or if this occurs in other brain regions. Oxytocin's effects need further examination to understand its' potential as an ASD therapeutic. CONCLUSIONS: Our work demonstrates the C58/J mouse model's utility in evaluating the influence of sex and sociability on the transcriptome in concomitant brain regions involved in ASD. Our single-nucleus transcriptome analysis elucidates potential pathological roles of oligodendrocytes and microglia in ASD. This investigation provides details regarding regulatory features disrupted in these cell types, including transcriptional gene dysregulation, aberrant cell differentiation, altered gene regulatory networks, and changes to key pathways that promote microglia/oligodendrocyte differentiation. Our studies provide insight into interactions between genetic risk and epigenetic processes associated with divergent affiliative behavior and lack of positive sociability.

Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.

The perspective of personalized medicine for brain disorders requires efficient learning models for anatomical neuroimaging-based prediction of clinical conditions. There is now a consensus on the benefit of deep learning (DL) in addressing many medical imaging tasks, such as image segmentation. However, for single-subject prediction problems, recent studies yielded contradictory results when comparing DL with Standard Machine Learning (SML) on top of classical feature extraction. Most existing comparative studies were limited in predicting phenotypes of little clinical interest, such as sex and age, and using a single dataset. Moreover, they conducted a limited analysis of the employed image pre-processing and feature selection strategies. This paper extensively compares DL and SML prediction capacity on five multi-site problems, including three increasingly complex clinical applications in psychiatry namely schizophrenia, bipolar disorder, and Autism Spectrum Disorder (ASD) diagnosis. To compensate for the relative scarcity of neuroimaging data on these clinical datasets, we also evaluate three pre-training strategies for transfer learning from brain imaging of the general healthy population: self-supervised learning, generative modeling and supervised learning with age. Overall, we find similar performance between randomly initialized DL and SML for the three clinical tasks and a similar scaling trend for sex prediction. This was replicated on an external dataset. We also show highly correlated discriminative brain regions between DL and linear ML models in all problems. Nonetheless, we demonstrate that self-supervised pre-training on large-scale healthy population imaging datasets (N≈10k), along with Deep Ensemble, allows DL to learn robust and transferable representations to smaller-scale clinical datasets (N≤1k). It largely outperforms SML on 2 out of 3 clinical tasks both in internal and external test sets. These findings suggest that the improvement of DL over SML in anatomical neuroimaging mainly comes from its capacity to learn meaningful and useful abstract representations of the brain anatomy, and it sheds light on the potential of transfer learning for personalized medicine in psychiatry.

Ayres Sensory Integration® Intervention for Autistic Children: A Telehealth Adaptation.

IMPORTANCE: Ayres Sensory Integration® is an evidence-based, manualized occupational therapy intervention for autism that is delivered in person. A telehealth adaptation could bridge service gaps for families who may have challenges accessing services. OBJECTIVE: To create a telehealth adaptation of the evidence-based manualized protocol of Ayres Sensory Integration using best practice for telehealth guidelines and to obtain input on the adaptation from experts. SETTING: Online survey of U.S. telehealth experts and occupational therapy clinicians in fall and winter 2022. PARTICIPANTS: Two telehealth experts and six occupational therapy clinicians. OUTCOMES AND MEASURES: Two Qualtrics surveys focused on perceived feasibility and acceptability, resources included, and clarity of instructions. RESULTS: Telehealth experts and occupational therapy clinicians rated the Ayres Sensory Integration telehealth adapted manual as easy to follow, aligned with telehealth best practices, and feasible for remote delivery. Suggestions for additional adaptations included adding resources for technology troubleshooting, intervention planning, rapport building, and continuing education. CONCLUSIONS AND RELEVANCE: Suggested adaptations were made; the manual is ready for feasibility testing. Plain-Language Summary: This report is the first to describe a telehealth adaptation of Ayres Sensory Integration®. The manual provides comprehensive training and resources to support clinicians in delivering sensory integration, telehealth-based interventions to autistic children. Two telehealth experts and six occupational therapy clinicians rated the Ayres Sensory Integration telehealth adapted manual as easy to follow, aligned with telehealth best practices, and feasible for remote delivery. The manual will be available to clinicians after feasibility and pilot testing.

Overlap of eating disorders and neurodivergence: the role of inhibitory control.

BACKGROUND: Difficulties with inhibitory control have been identified in eating disorders (EDs) and neurodevelopmental disorders (NDs; including attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder), and there appear to be parallels between the expression of these impairments. It is theorised that impairments in inhibitory control within NDs may represent a unique vulnerability for eating disorders (EDs), and this same mechanism may contribute to poorer treatment outcomes. This review seeks to determine the state of the literature concerning the role of inhibitory control in the overlap of EDs and neurodivergence. METHOD: A scoping review was conducted to summarise extant research, and to identify gaps in the existing knowledge base. Scopus, Medline, PsycInfo, Embase, and ProQuest were systematically searched. Studies were included if the study measured traits of ADHD or autism, and symptoms of ED, and required participants to complete a performance task measure of inhibitory control. Where studies included a cohort with both an ND and ED, these results had to be reported separately from cohorts with a singular diagnosis. Studies were required to be published in English, within the last 10 years. RESULTS: No studies explored the relationship between autism and EDs using behavioural measures of inhibitory control. Four studies exploring the relationship between ADHD and EDs using behavioural measures of inhibitory control met selection criteria. These studies showed a multifaceted relationship between these conditions, with differences emerging between domains of inhibitory control. ADHD symptoms predicted poorer performance on measures of response inhibition in a non-clinical sample; this was not replicated in clinical samples, nor was there a significant association with EDs. Both ADHD and ED symptoms are associated with poor performance on attentional control measures; where these diagnoses were combined, performance was worse than for those with a singular diagnosis of ADHD. This was not replicated when compared to those with only ED diagnoses. CONCLUSION: Impairments in attentional control may represent a unique vulnerability for the development of an ED and contribute to poor treatment outcomes. Further research is needed to explore the role of inhibitory control in EDs, ADHD and autism, including the use of both self-report and behavioural measures to capture the domains of inhibitory control.

Fullerenols Ameliorate Social Deficiency and Rescue Cognitive Dysfunction of BTBR T+Itpr3tf/J Autistic-Like Mice.

Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects social interaction and communication and can cause stereotypic behavior. Fullerenols, a type of carbon nanomaterial known for its neuroprotective properties, have not yet been studied for their potential in treating ASD. We aimed to investigate its role in improving autistic behaviors in BTBR T+Itpr3tf/J (BTBR) mice and its underlying mechanism, which could provide reliable clues for future ASD treatments. Methods: Our research involved treating C57BL/6J (C57) and BTBR mice with either 0.9% NaCl or fullerenols (10 mg/kg) daily for one week at seven weeks of age. We then conducted ASD-related behavioral tests in the eighth week and used RNA-seq to screen for vital pathways in the mouse hippocampus. Additionally, we used real-time quantitative PCR (RT-qPCR) to verify related pathway genes and evaluated the number of stem cells in the hippocampal dentate gyrus (DG) by Immunofluorescence staining. Results: Our findings revealed that fullerenols treatment significantly improved the related ASD-like behaviors of BTBR mice, manifested by enhanced social ability and improved cognitive deficits. Immunofluorescence results showed that fullerenols treatment increased the number of DCX+ and SOX2+/GFAP+ cells in the DG region of BTBR mice, indicating an expanded neural progenitor cell (NPC) pool of BTBR mice. RNA-seq analysis of the mouse hippocampus showed that VEGFA was involved in the rescued hippocampal neurogenesis by fullerenols treatment. Conclusion: In conclusion, our findings suggest that fullerenols treatment improves ASD-like behavior in BTBR mice by upregulating VEGFA, making nanoparticle- fullerenols a promising drug for ASD treatment.

Newborn Dried Blood Spot Folate in Relation to Maternal Self-reported Folic Acid Intake, Autism Spectrum Disorder, and Developmental Delay.

BACKGROUND: Maternal folic acid intake has been associated with decreased risk for neurodevelopmental disorders including autism spectrum disorder (ASD). Genetic differences in folate metabolism could explain some inconsistencies. To our knowledge, newborn folate concentrations remain unexamined. METHODS: We measured folate in archived newborn dried blood spots of children from the CHARGE (Childhood Autism Risks from Genetics and the Environment) case-control study who were clinically confirmed at 24-60 months to have ASD (n = 380), developmental delay (n = 128), or typical development (n = 247). We quantified monthly folic acid intake from maternally-reported supplements and cereals consumed during pregnancy and 3 months prior. We assessed associations of newborn folate with maternal folic acid intake and with ASD or developmental delay using regression. We stratified estimates across maternal and child MTHFR genotypes. RESULTS: Among typically developing children, maternal folic acid intake in prepregnancy and each pregnancy month and prepregnancy prenatal vitamin intake were positively associated with newborn folate. Among children with ASD, prenatal vitamin intake in pregnancy months 2-9 was positively associated with newborn folate. Among children with developmental delay, maternal folic acid and prenatal vitamins during the first pregnancy month were positively associated with neonatal folate. Associations differed by MTHFR genotype. Overall, neonatal folate was not associated with ASD or developmental delay, though we observed associations with ASD in children with the MTHFR 677 TT genotype (odds ratio: 1.76, 95% CI = 1.19, 2.62; P for interaction = 0.08). CONCLUSION: Maternal prenatal folic acid intake was associated with neonatal folate at different times across neurodevelopmental groups. Neonatal folate was not associated with reduced ASD risk. MTHFR genotypes modulated these relationships.

Visuo-motor updating in individuals with heightened autistic traits.

Autism spectrum disorder (ASD) presents a range of challenges, including heightened sensory sensitivities. Here, we examine the idea that sensory overload in ASD may be linked to issues with efference copy mechanisms, which predict the sensory outcomes of self-generated actions, such as eye movements. Efference copies play a vital role in maintaining visual and motor stability. Disrupted efference copies hinder precise predictions, leading to increased reliance on actual feedback and potential distortions in perceptions across eye movements. In our first experiment, we tested how well healthy individuals with varying levels of autistic traits updated their mental map after making eye movements. We found that those with more autistic traits had difficulty using information from their eye movements to update the spatial representation of their mental map, resulting in significant errors in object localization. In the second experiment, we looked at how participants perceived an object displacement after making eye movements. Using a trans-saccadic spatial updating task, we found that those with higher autism scores exhibited a greater bias, indicating under-compensation of eye movements and a failure to maintain spatial stability during saccades. Overall, our study underscores efference copy's vital role in visuo-motor stability, aligning with Bayesian theories of autism, potentially informing interventions for improved action-perception integration in autism.