Inhibition, an important cognitive skill relying on frontal lobe function, is often deficient in individuals with autism spectrum disorders (ASD). Spatiotemporal measures of brain activity were acquired using magnetoencephalography during a Go/No-go task with adolescents and adults with ASD and matched controls. During the task, participants responded to Go stimuli and withheld their response to No-go stimuli. Typical inhibitory network development was investigated in study 1. Adolescents displayed a distributed activity pattern, recruiting temporal and parietal regions, in addition to frontal areas, unlike adults. In study 2, inhibition was compared between individuals with and without ASD. Lateralization differences were found: adults with ASD activated the left and control adults recruited the right inferior prefrontal cortex. Adolescents with ASD recruited predominantly frontal regions, unlike their controls. Implications include immature inhibitory networks in typical adolescence and deficits in adolescents with ASD in recruiting distal cortical regions to supplement poor frontal lobe function.

Many cognitive and neurological disorders today, such as Autism Spectrum Disorders (ASD) and various forms of epilepsy such as infantile spasms (IS), manifest as changes in voltage activity recorded in scalp electroencephalograms (EEG). Diagnosis of brain disease often relies on the interpretation of complex EEG features through visual inspection by clinicians. Although clinically useful, such interpretation is subjective and suffers from poor inter-rater reliability, which affects clinical care through increased variability and uncertainty in diagnosis. In addition, such qualitative assessments are often binary, and do not parametrically measure characteristics of disease manifestations. Many cognitive disorders are grouped by similar behaviors, but may arise from distinct biological causes, possibly represented by subtle electrophysiological differences. To address this, quantitative analytical tools - such as functional network connectivity, frequency-domain, and time-domain features - are being developed and applied to clinically obtained EEG data to identify electrophysiological biomarkers. These biomarkers enhance a clinician’s ability to accurately diagnose, categorize, and select treatment for various neurological conditions. In the first study, we use spectral and functional network analysis of clinical EEG data recorded from a population of children to propose a cortical biomarker for autism. We first analyze a training set of age-matched (4–8 years) ASD and neurotypical children to develop hypotheses based on power spectral features and measures of functional network connectivity. From the training set of subjects, we derive the following hypotheses: 1) The ratio of the power of the posterior alpha rhythm (8–14 Hz) peak to the anterior alpha rhythm peak is significantly lower in ASD than control subjects. 2) The functional network density is lower in ASD subjects than control subjects. 3) A select group of edges provide a more sensitive and specific biomarker of ASD. We then test these hypotheses in a validation set of subjects and show that both the first and third hypotheses, but not the second, are validated. The validated features successfully classified the data with significant accuracy. These results provide a validated study for EEG biomarkers of ASD based on changes in brain rhythms and functional network characteristics. We next perform a follow-up study that utilizes the same group of ASD and neurotypical subjects, but focuses on differences between these two groups in the sleep state. Motivated by the results from the previous study, we utilize the previously validated biomarkers, including the alpha ratio and the subset of edges found to be a sensitive biomarker of ASD, and test their effectiveness in the sleep state. To complement these frequency domain features, we also investigate the efficacy of several time domain measures. This investigation did not lead to significant findings, which may have important implications for the differences between sleep and wake states in ASD, or perhaps generally for clinical assessment, as well as for the effect of noise on signal in clinically obtained data. Finally, we design a similar analysis framework to investigate a set of clinical EEG data recorded from a population of children with active infantile spasms (IS) (2-16 months), and age-matched neurotypical children, in both wake and sleep states. The goal of this analysis is to develop a quantitative biomarker from the EEG signal, which ultimately we will apply to predict the clinical outcome of children with IS. In addition to spectral and functional network analysis, we calculate time domain features previously found to correlate with seizures. We compare the two populations by each feature individually, test the effects of age on these features, use all features in a linear discriminant model to categorize IS versus neurotypical EEG, and test the findings using a leave-one-out validation test. We find almost every feature tested shows significant population differences between IS and control groups, and that taken together they serve as an effective classifier, with potential to be informative as to disease severity and long-term outcome. Furthermore, analysis of these features reveals two groups, indicating a possibility that these features reflect two distinct qualitative characteristics of IS and seizures.

A systematic review of the literature that explored the processes and perceived effectiveness of qualitative methods used to elicit the views of young people with autism spectrum disorders (ASD) about their educational experiences was conducted. Studies that were identified and screened using a trialled evaluation checklist and synthesised using the PRISMA guidelines identified data collection methods that were perceived to be useful. Limitations such as the over-representation of participants who were able to engage in verbal discussion and the lack of detailed description and evaluation of data collection methods were also identified. A multiple case study research was then conducted to explore two special schools' processes of eliciting the views of secondary school-aged pupils with ASD about their transition to adulthood and its perceived effectiveness. Qualitative data from semi-structured interviews with the school's staff and an observation of a transition meeting were gathered and thematically analysed individually, then compared and contrasted within school level. The findings revealed that both schools' processes of eliciting young people with ASD's views about transition to adulthood is a long process which involves three phases and is underpinned by a person-centred ethos. Perceived strengths and limitations of the process were also identified. Dissemination of the study's findings will include presentations and consultations with key stakeholders such as mainstream and specialist secondary schools and local authority post-16 steering group to explore the utility of the findings in different contexts. Collaboration with other educational psychologists (EPs) will also be conducted to explore this study's implications in the way they support schools in eliciting the views of young people with ASD.

I denna studie undersöks grundskollärares erfarenheter av att arbeta med elever med Autismspektrumstörning (ASD) i den stora gruppen. Med den stora gruppen menas den vanliga grundskoleklassen. Studien bygger på en kvalitativ metod och genom semistrukturerade intervjuer intervjuas fem grundskolelärare med erfarenhet att undervisa elever med ASD i den stora gruppen. Frågorna är desamma i alla intervjuer men genom att konstruera öppna frågor och följdfrågor kan uttömmande svar ges. Det insamlade materialet tematiseras sedan genom en kvalitativ analysmetod. Resultatet visar att lärarnas erfarenheter av att undervisa elever med ASD i den stora gruppen liknar varandra i flera avseenden. Lärarna upplever ett behov att prova sig fram till att hitta rätt anpassningar och undervisningsmetoder för eleverna med ASD. De finner tydlighet och rutiner viktigt, vilket manifesteras genom tydliga scheman och instruktioner samt genomtänkt placering av eleven med ASD. En utmaning i arbetet är att bygga relationer med eleverna med ASD. I denna utmaning blir tiden en faktor som hindrar eller möjliggör relationsbyggande då lärarna upplever att eleverna med ASD behöver mycket tid och uppmärksamhet vilket, om lärarna tar hänsyn till detta, begränsar tiden med övriga elever.

For a long time, autism spectrum disorder has been considered a predominantly male condition. However, emerging literature suggests that this imbalance is not due solely to etiological differences but rather to other factors. Disparity in diagnosis, because of biases, co-occurring psychiatric disorders, and limited understanding of autism manifestation in females, causes these individuals to be diagnosed with autism significantly later than their male counterparts, if at all. The delayed diagnoses or misdiagnoses of females contribute to later and lesser treatment and worsened outcomes. Furthermore, certain traits of autism in women, such as camouflage and a tendency toward internalized symptomology, exacerbate this effect. Unfortunately, this becomes a self-perpetuating issue: the reduction in the number of diagnosed females results in an underrepresentation of the sex in subsequent autism studies, and this, in turn, contributes to the misrepresentation of the female gender in autism. Thus, in addressing this complex issue, clinicians, researchers, and communities target these many intertwined challenges. Modifications and new initiatives continue to be developed to better accommodate autistic females and make strides to bridge the gender/sex gap.

The gastrointestinal (GI) tract is a diverse habitat for multiple microorganisms. Disturbances in the microbiome of the GI tract have been associated with psychiatric disorders including autism spectrum disorder (ASD). Individuals with ASD, when compared to neurotypical individuals, have demonstrated differing gut species. Also, it has been shown that microbial transplant therapies impact ASD symptoms in patients. Animal models of behaviors associated with ASD might offer insight for the actual role these microbial differences may occupy regarding symptoms. Unfortunately, ASD does not have an accepted animal model where the GI alterations have been thoroughly explored. In this study, we sought to determine if the microbiome and other GI alterations were observed in two potential mouse models of social behavior deficits, the genetic BTBR T+Itpr3tf/J (BTBR) mouse strain and an environmental mouse strain consisting of offspring of valproic acid (VA) treated pregnant controls. Both mouse models have been shown to exhibit social and repetitive behaviors that are found in human ASD. Using the Illumina MiSeq, we were able to identify taxonomy associated with 16S ribosomal DNA sequences extracted from fecal matter. We were able to compare the sequencing results from the two affected strains and a control C5BL/6J mouse strain for both female and male animals using the Qiagen CLC Genomics Workbench software. Overall, microbiome composition was found to be significantly different between the male control animals (N=6) when compared to the VA (N=5; p-value=.00216; F-score 11.20904) or the BTBR (N=7; p-value=.00216; F-score 18.47839) males using a PERMANOVA analysis. This was replicated in female groups where composition significantly differed between the control (N=14) and VA (N=14; p-value=.00001; F-score 3.53307) or BTBR (N=14; p-value=.00001; F-score 11.23443) females. Additionally, short-chain fatty acid analysis using gas capillary-based chromatography was used to examine acetate, butyrate, propionate, and valerate levels in feces. Only valerate levels were significantly lower (p

The gastrointestinal (GI) tract is a diverse habitat for multiple microorganisms. Disturbances in the microbiome of the GI tract have been associated with psychiatric disorders including autism spectrum disorder (ASD). Individuals with ASD, when compared to neurotypical individuals, have demonstrated differing gut species. Also, it has been shown that microbial transplant therapies impact ASD symptoms in patients. Animal models of behaviors associated with ASD might offer insight into the actual role these microbial differences may occupy regarding symptoms. Unfortunately, ASD does not have an accepted animal model where the GI alterations have been thoroughly explored. In this study, we sought to determine if the microbiome and other GI alterations were observed in two potential mouse models of social behavior deficits, the genetic BTBR T+Itpr3tf/J (BTBR) mouse strain and an environmental mouse strain consisting of offspring of valproic acid (VA) treated pregnant controls. Both mouse models have been shown to exhibit social and repetitive behaviors that are found in human ASD. Using the Illumina MiSeq, we were able to identify taxonomy associated with 16S ribosomal DNA sequences extracted from fecal matter. We were able to compare the sequencing results from the two affected strains and a control C5BL/6J mouse strain for both female and male animals using the Qiagen CLC Genomics Workbench software. Overall, microbiome composition was found to be significantly different between the male control animals (N=13) when compared to the VA (N=14; p-value=.00003) or the BTBR (N=15; p-value=.0001) males using a PERMANOVA analysis. This was replicated in female groups where composition significantly differed between the control (N=14) and VA (N=14; p-value=.00003) or BTBR (N=14; p-value=.00001) females. Additionally, short-chain fatty acid analysis using gas capillary-based chromatography was used to examine acetate, butyrate, propionate, and valerate levels in feces. Only valerate levels were significantly lower (p

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