Relevant bibliographies by topics / Autism disorder spectrum

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autism disorder spectrum'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Autism disorder spectrum"

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Day, Talena C., Kathryn A. McNaughton, Adam J. Naples, and James C. McPartland. "Self-reported social impairments predict depressive disorder in adults with autism spectrum disorder." Autism 24, no. 2 (June 25, 2019): 297–306. http://dx.doi.org/10.1177/1362361319857375.

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In adults with autism spectrum disorder, co-occurring psychiatric conditions are prevalent, and depression is one of the most common co-occurring disorders. This study examined the relationship between depression and cognitive ability, autism symptom severity, and self-reported social impairments in autism spectrum disorder. A total of 33 adults with autism spectrum disorder and 28 adults with typical development completed a standardized psychiatric interview, cognitive test, measure of clinician-rated autism symptom severity, and self-report of social impairments. Nine participants with autism spectrum disorder (27%) met the criteria for a depressive disorder (autism spectrum disorder + depressive disorder). Relatively more females with autism spectrum disorder had a co-occurring depressive disorder. The typical development group had a higher intelligence quotient than the autism spectrum disorder group, but the autism spectrum disorder + depressive disorder group did not differ from the typical development or autism spectrum disorder group. While the autism spectrum disorder + depressive disorder group had lower clinician-rated autism symptom severity than the autism spectrum disorder group, the autism spectrum disorder + depressive disorder group reported more social impairments than the autism spectrum disorder group. Self-reported social impairments predicted depression in adults with autism spectrum disorder when accounting for symptom severity and cognitive ability. These findings suggest that more self-perceived social impairments are related to depressive disorders in autism spectrum disorder, and may help clinicians identify individuals who are vulnerable in developing a co-occurring depressive disorder. Future directions include follow-up studies with larger cohorts and longitudinal designs to support inferences regarding directionality of these relationships.
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Nazeer, Ahsan. "Autism Spectrum Disorder." Psychiatric Annals 49, no. 3 (March 1, 2019): 101. http://dx.doi.org/10.3928/00485713-20190213-03.

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Tanguay, Peter E. "Autism Spectrum Disorder." Journal of Clinical Psychiatry 73, no. 06 (June 15, 2012): 886–87. http://dx.doi.org/10.4088/jcp.12bk07855.

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Tanguay, Peter E. "Autism Spectrum Disorder." Journal of Clinical Psychiatry 76, no. 06 (June 24, 2015): e841-e841. http://dx.doi.org/10.4088/jcp.15bk09802.

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Kodak, Tiffany, and Samantha Bergmann. "Autism Spectrum Disorder." Pediatric Clinics of North America 67, no. 3 (June 2020): 525–35. http://dx.doi.org/10.1016/j.pcl.2020.02.007.

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Lord, Catherine, Mayada Elsabbagh, Gillian Baird, and Jeremy Veenstra-Vanderweele. "Autism spectrum disorder." Lancet 392, no. 10146 (August 2018): 508–20. http://dx.doi.org/10.1016/s0140-6736(18)31129-2.

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Kamruzzaman, Md, Mirza Md Ziaul Islam, Abu Bakkir Siddique, Mohammed Rizwanul Ahsan, and AZM Mosiul Azam. "Autism Spectrum Disorder." Bangladesh Journal of Child Health 43, no. 1 (April 28, 2019): 41–48. http://dx.doi.org/10.3329/bjch.v43i1.41217.

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Autism spectrum disorder (ASD) is the name for a group of developmental disorders. ASD affects social interaction, communication, interests and behavior. It includes a wide range, “a spectrum,” of symptoms, skills, and levels of disability. It affects how a person acts and interacts with others, communicates, and learns. Children with ASD might have problems talking with others, or they might not look in the eye when one talks to them. They may often seem to be in their “own world.” People with ASD often have these characteristics: ongoing social problems that include difficulty communicating and interacting with others; repetitive behaviors as well as limited interests or activities; symptoms that typically are recognized in the first two years of life; symptoms that hurt the individual’s ability to function socially, at school or work, or other areas of life. Some people are mildly impaired by their symptoms, while others are severely disabled. According to the Centers for Disease Control and Prevention (CDC) around 1 in 68 children has been identified with some form of ASD. The symptoms are present before three years of age, although a diagnosis can sometimes be made after the age of three. More boys are diagnosed with the condition than girls. There is no “cure” for ASD, but speech and language therapy, occupational therapy, educational support, plus a number of other interventions are available to help children and parents. Bangladesh J Child Health 2019; VOL 43 (1) :41-48
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Shamsad, Iffat Ara. "Autism Spectrum Disorder." Bangladesh Journal of Medicine 30, no. 1 (January 22, 2019): 1–3. http://dx.doi.org/10.3329/bjmed.v30i1.39915.

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Simon, Michael W. "Autism Spectrum Disorder." Clinical Pediatrics 53, no. 9 (May 6, 2014): 917. http://dx.doi.org/10.1177/0009922814533413.

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Minchella, Lindsey, and Louise Preti. "Autism Spectrum Disorder." NASN School Nurse 26, no. 3 (May 2011): 143–45. http://dx.doi.org/10.1177/1942602x11402834.

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Dissertations / Theses on the topic "Autism disorder spectrum"

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Hitt, Sara Beth, and false. "Autism Spectrum Disorder." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/4068.

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Yarar, Esra. "Ageing in autism spectrum disorder." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/ageing-in-autism-spectrum-disorder(ace70969-0174-4d34-a5f7-5f46633eb32c).html.

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This thesis aimed to investigate symptomatology, psychopathology, and neurocognitive characteristics of older adults with autism spectrum disorder (ASD). Given the limited research on ageing in ASD, the three studies presented in this thesis were primarily exploratory. First, data on mental health and normative life outcome are reported from adults attending a tertiary referral clinic for a possible first diagnosis of ASD. Young (aged 18-38) and old (aged 50-70) adults were compared across two groups; those who did (N=58) versus did not (N=46) receive a final ASD diagnosis. Analyses revealed better life outcome in the old versus young group, although additional psychiatric diagnoses were common across ages in ASD. In the second study, groups of older (N=29, aged 50-71 years) and younger adults (N=29, aged 19-48) with ASD, and comparison groups of neurotypical (NT) young (N=20, aged 20-44) and old (N=19, aged 52-71) adults, were recruited and tested in person by the author. The most striking finding was an age by group interaction in Theory of Mind (ToM) performance; ASD adults did not show the decrease in ToM performance with age, seen in the NT group. The third and last study took a dimensional approach to ASD, examining social cognition, mental health and wellbeing in grandparents (N=43, aged 53-85) of individuals with ASD; a group expected to be enriched for the ‘broad autism phenotype’. To tap ToM in this postal study, a novel task was designed. Again, few age effects were found within this sample, but mental health was a significant cause for concern and predictor of quality of life. Overall, these findings, in an under-researched area, suggest that many aspects of mental health and wellbeing do not change greatly in older adulthood in ASD, perhaps remaining more stable than in NT adults. Limitations and directions for future research in this important area, are discussed.
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Philip, Ruth Clare Margaret. "Emotion processing in autism spectrum disorder." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4216.

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With an estimated prevalence of ~1%, Autism Spectrum Disorder (ASD) is relatively common. Whilst accepted as a neurodevelopmental disorder, currently the diagnosis of autism is based on the observation of characteristic behaviour: deficits in language, communication and social skills in addition to unusual or restricted interests. Research in the condition has been approached with psychological and physiological methodology however a full understanding of the underlying neuropathology of autism is still unclear. Functional Magnetic Resonance Imaging (fMRI) has been employed to study face processing in ASD with varied results. The processing of other types of social cues has been far less extensively explored and similarly, whilst there have been some reports of aberrant neural responsiveness to emotion in ASD, this component of social cognition requires further study. In particular, it is unclear whether there is a specific deficit in processing faces in ASD or rather a global deficit in emotion processing which is present across stimulus types, sensory domains and emotions. In this study basic emotion labelling using a range of stimulus types has been investigated within the same ASD cohort. In comparison to a control group, deficits were apparent in the ASD group when processing emotion in face, whole body and voice stimuli. This indicates a global emotion processing deficit in ASD that cannot be fully accounted for by deficits in basic face processing alone. Processing neutral and emotional faces and static whole body images was subsequently investigated using fMRI. When neutral faces, neutral bodies, fearful faces and fearful bodies were contrasted with fixation baseline, both groups broadly recruited the expected network of brain regions. When the emotional condition was contrasted with the neutral condition for each stimulus type significant between groups differences were apparent. The bilateral inferior parietal lobe responded significantly differently in response to facial emotion and the right supplementary motor area and superior temporal sulcus region was differentially activated in response to emotion in body stimuli. Findings reported here suggest that there are wide ranging social deficits in ASD which relate to the processing of a variety of social cues. fMRI evidence suggests that these deficits have a neural basis, in which elements of the social brain, including regions associated with mirror neuron function, activate in an atypical manner in ASD.
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Benallie, Kandice J. "Parent Knowledge of Autism Spectrum Disorder." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7693.

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Parent knowledge of ASD may be relevant to early identification and intervention services for children with ASD. By understanding how knowledgeable parents of young children are about ASD, researchers and practitioners can intervene and educate this population. This study sought to determine the knowledge base of ASD among parents with children five years and younger and if developmental, behavioral, and autism-related concerns predict knowledge of ASD. The sample of parents consisted of 167 mothers and fathers. All participants completed a knowledge questionnaire (i.e., ASKSG) and reported their level of developmental, behavioral, and autism-related concerns of their oldest child between the ages of 2 and five years. Results revealed that the sample of parents had a relatively low knowledge base of ASD, as determined by a percentage correct on the ASKSG of 43.9% (SD=20.1). Additionally, developmental, behavioral, and autism-related concerns did not collectively predict the sample’s knowledge of ASD; however, autism-related concerns independently predicted knowledge. The results of this study provide information to researchers and practitioners that can be used to educate parents of young children regarding ASD. By doing so, early and appropriate identification of ASD may be improved. In turn, children and families may have increased access to early intervention services and thus may result in better developmental outcomes.
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Shahidiani, Asal. "Brain development in autism spectrum disorder." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/brain-development-in-autism-spectrum-disorder(ccbdfbdf-e739-4495-9c00-6b9301bb0d7c).html.

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Autism spectrum disorder is a lifelong neurodevelopmental condition accompanied by differences in brain anatomy and connectivity. Whilst the ASD brain has been widely studied under the lens of neuroimaging, results are both spatially and temporally heterogeneous. The most ubiquitous findings relate to global differences in the trajectory of early brain growth. Thus, there is a compelling need to characterize the neurodevelopmental trajectory of brain maturation in ASD beyond these early years and beneath the global level. Therefore, the present work conducts an investigation into brain development in ASD, utilizing a variety of magnetic resonance metrics in a broad sample of children and adolescents with ASD and typically developing controls. We examine age-related differences in structural connectivity - measured by diffusion tensor imaging and myelin mapping techniques - alongside vertex-based measures of cortical anatomy, including cortical thickness, surface area and gyrification. In addition, we dissect these differences within a developmental framework by investigating linear, quadratic, and cubic age effects on each neuroanatomical component in order to identify the most appropriate model for examining between-group differences in the presence of significant age effects and age ‘by’ group interactions. Finally, we extend our cross-sectional investigations by carrying out a longitudinal study of myelination in ASD, showing for the first time that the ASD is accompanied by altered myelin development. Our overarching finding is that ASD is characterised by age-related, region-specific brain differences. Importantly, these differences encompass the trajectories of both grey- and white-matter development, which we have dissected further into contributions from cortical-thickness, surface-area and gyrification, as well as white matter microstructure and myelination, respectively. Therefore, measures of grey- and white-matter morphology and connectivity should not be interpreted independently, but jointly as they jointly elicit the atypical patterns of brain development and connectivity typically observed in ASD.
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Taylor, Natalie. "Audiovisual integration in autism spectrum disorder." Thesis, University of Sheffield, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489093.

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Audiovisual integration is the ability to combine auditory and visual information in the brain. Current theories of autism suggest that people with Autism Spectrum Disorder (ASD) should show audiovisual integration impairments.
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Catani, Marco. "Brain connectivity in Autism Spectrum Disorder." Thesis, King's College London (University of London), 2012. https://kclpure.kcl.ac.uk/portal/en/theses/brain-connectivity-in-autism-spectrum-disorder(f1301db8-3f33-4720-a26c-e202aceac3d0).html.

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In recent years Autism Spectrum Disorders (ASD) have been considered as resulting from altered connectivity between regions, which may explain characteristic manifestations in socio-emotional function, communication and repetitive behaviour observed clinically. This thesis aims to provide evidence for altered anatomy of networks in ASD. The first step consisted in the creation of a diffusion tensor tractography atlas of the normal human brain derived from 40 healthy adults. The atlas was then used to localise the findings from a metaanalysis of published voxel-based morphometry studies investigating white matter abnormalities in ASD. This analysis showed that patients with ASD display abnormalities in long white matter association tracts, such as the arcuate and uncinate fasciculus, known to be important for language and social cognition. A second step consisted in the tractography analysis of limbic and cerebellar tracts in a small pilot study. Our findings confirmed differences in the the uncinate tract in ASD and in addition we found differences in the cingulum and major intracecebellar and cerebellar output tract. Finally, Tract-Based Spatial Statistics (TBSS) and tractography analysis of a multi-centre, case-control study was performed on 61 individuals with ASD and 61 controls. Differences in the frontal connections of the arcuate fasciculus, uncinate fasciculus, cingulum and corpus callosum were found. Tract specific measurements in the arcuate and uncinate were associated with a history of delayed echolalia and impaired used of face expression in childhood, respectively. In conclusion these series of studies show that ASD are associated with specific structural abnormalities of the limbic, language and interhemispheric white matter fibres. Differences in white matter anatomy were localised in major connections to the frontal lobe and associated with specific autistic features and traits in chilldhood. These results are compatible with the concept of ASD as a developmental frontal connectivity syndrome.
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Wojcik, Dominika Zofia. "Metamemory in children with autism spectrum disorder." Thesis, University of Leeds, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574625.

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ASD is a neurodevelopmental disorder which primarily affects social interaction and communication. However, a growing literature has also identified some episodic memory difficulties in this group (e.g.: free recall, autobiographical memory, recollection). A plausible reason ·for this is that people with ASD lack the metacognitive mechanisms necessary for efficient memory. Hitherto, few studies have assessed metamemory (awareness of one's own memory) in ASD. The novelty of the current thesis was thus to compare performance of children with ASD to typically developing children on metacognitive monitoring (estimation of future memory performance) and control (manipulation of memory strategies) as well as metamemory knowledge about the variables affecting memory in online memory tasks. To investigate monitoring; global (judgment-of-Iearning & judgments-of-confidence) and item-by- item (judgments-of-Iearning & feeling-of-knowing) metacognitive judgments were used. Control was explored using recall readiness paradigm. The usage offeedback from monitoring to apply memory strategies (study time allocation & item selection) was further investigated. No group differences were found neither on global (Experiment 3.1, 3.2 & 4.2) nor item-by- item (Experiment 4.1 & 4.3) metacognitive monitoring at encoding (Judgment-of-Iearning). '. ' .. ~ However, the ASD group showed deficits in monitoring at retrieval (Feeling-of-knowing) in an episodic (but not a semantic) task. Children with ASD were also unimpaired on measure of control (Experiment 4.2) and on responding to feedback from monitoring (Experiment 4.3). Finally, the results showed spared knowledge in this clinical group regarding the effects of different learning conditions, such as self-enactment (Chapter 3), varying study time and item difficulty (Chapter 4). Overall the current thesis showed very specific metacognitve difficulties in ASD. These deficits are discussed in terms of mnemonic cues that these children can and cannot use to form their judgments. The involvement of retrieval of partial information (potentially reliant on recollection) and cues regarding the self are proposed as potential causes of these monitoring difficulties .
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Richards, Caroline Ruth. "Self-injurious behaviour in autism spectrum disorder." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3515/.

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Background: Self-injury is reported to be common in autism spectrum disorder (ASD). However, there are limited robust data detailing the prevalence, persistence, associated person characteristics and operant function of self-injury in ASD. Method: Three large scale survey studies were employed to establish the prevalence, persistence and risk markers for self-injury in ASD compared to contrast groups. Experimental functional analyses were conducted, including a fine grained temporal analysis of behaviours associated with self-injury. Results: Self-injury was displayed by 50% of the ASD sample and was persistent over three years in 77.8% of the group. Self-injury was associated with higher levels of autistic behaviour in individuals without idiopathic autism. Self-injury was associated with higher levels of impulsivity, hyperactivity, painful health conditions, repetitive behaviours and lower levels of adaptive behaviour. ‘ASD weighted’ operant functions for self-injury were identified for the majority of children with ASD. Conclusions: Self-injury is prevalent and persistent in ASD. The presence of ASD phenomenology is a risk marker for self-injury. There is a role for repetitive behaviours, pain and impaired behavioural inhibition in the development and persistence of self-injury. Self-injury is likely to be maintained by operant reinforcement in many individuals with ASD, through ‘ASD weighted’ reinforcement contingencies.
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Martin, Jonathan Steven. "Time and memory in autism spectrum disorder." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/3559/.

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Vol. 1: This thesis explores the relationship between time perception and memory in people with autism spectrum disorder (ASD). The thesis contains two separate papers; a literature review examining working memory in ASD, and a research article investigating temporal reproduction performance in adults with ASD. Memory ability in ASD has been a focus of study for several decades. However, so far, research investigating working memory in ASD has produced inconsistent results. The literature review critically examines the research in this area, drawing together the main findings and considering possible directions for future research. Recent evidence has suggested that atypical memory processes may impact upon time perception in ASD. Until recently, very little research had focused upon time perception ability in people with ASD, despite the fact the clinical accounts of ASD have often reported difficulties relating to the perception and understanding of time. The study reported in the research paper examines the performance of adults with ASD on a time reproduction task. The ASD group were found to make time reproductions that were both less accurate and more variable than a matched comparison group. The possible role of atypical memory processes in their performance is discussed. Vol. 2: Volume II contains five clinical practice reports. The first is the case study of a man with a learning disability, suffering from anxiety and depression, and is formulated from two perspectives. The second report is a service evaluation investigating whether a community psychology team is meeting the needs of people with severe forms of learning disability. The third report is in the form of a single case experimental design, evaluating the effectiveness of an intervention to treat a simple phobia. The fourth report is a case study describing the assessment of a man presenting with memory difficulties. The fifth report is represented by an abstract from an orally presented case study of a boy with a chronic physical condition.
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Books on the topic "Autism disorder spectrum"

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author, Thurm Audrey, and Soorya Latha author, eds. Autism spectrum disorder. Boston, MA: Hogrefe, 2015.

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Autism spectrum disorder. St. Catharines, Ontario: Crabtree Publishing Company, 2014.

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Autism spectrum disorder. Oxford: Oxford University Press, 2011.

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Autism spectrum disorders. New York: Oxford University Press, 2011.

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Kroncke, Anna P., Marcy Willard, and Helena Huckabee. Assessment of Autism Spectrum Disorder. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25504-0.

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Bowler, Dermot. Autism Spectrum Disorders. New York: John Wiley & Sons, Ltd., 2006.

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Anagnostou, Evdokia, and Jessica Brian, eds. Clinician’s Manual on Autism Spectrum Disorder. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-03056-2.

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Robinson-Agramonte, Maria de los Angeles, ed. Translational Approaches to Autism Spectrum Disorder. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16321-5.

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Autism spectrum disorder: The complete guide to understanding autism. New York, New York: Perigee, 2014.

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Boucher, Jill. The autistic spectrum: Characteristics, causes, and practical issues. Los Angeles: SAGE, 2009.

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Book chapters on the topic "Autism disorder spectrum"

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Simon, Dennis J. "Autism spectrum disorder." In School-centered interventions: Evidence-based strategies for social, emotional, and academic success., 233–55. Washington: American Psychological Association, 2016. http://dx.doi.org/10.1037/14779-010.

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Schneider, Dana, Maria Glaser, and Atsushi Senju. "Autism Spectrum Disorder." In Encyclopedia of Personality and Individual Differences, 329–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_2092.

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Le Couteur, Ann, and Peter Szatmari. "Autism spectrum disorder." In Rutter's Child and Adolescent Psychiatry, 661–82. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118381953.ch51.

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Ashworth, Sarah. "Autism spectrum disorder." In Case Studies in Forensic Psychology, 89–108. Milton Park, Abingdon, Oxon; New York, NY: Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429505720-6.

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Sloman, Kimberly N., Kate E. Fiske, and Robert H. LaRue. "Autism Spectrum Disorder." In Handbook of Pediatric Behavioral Healthcare, 185–97. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00791-1_14.

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Coucouvanis, Judith, Donna Hallas, and Jean Nelson Farley. "Autism Spectrum Disorder." In Child and Adolescent Behavioral Health, 238–61. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118704660.ch13.

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Angarita, Benjamin N., and Alexander Kolevzon. "Autism Spectrum Disorder." In Mount Sinai Expert Guides, 225–32. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118654231.ch25.

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Hwang, Ye In, Kitty-Rose Foley, and Julian Trollor. "Autism Spectrum Disorder." In Encyclopedia of Geropsychology, 1–11. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-080-3_305-1.

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Hwang, Ye In(Jane), Kitty-Rose Foley, and Julian Trollor. "Autism Spectrum Disorder." In Encyclopedia of Geropsychology, 338–48. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-287-082-7_305.

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Bradley, Elspeth, Phoebe Caldwell, and Lisa Underwood. "Autism Spectrum Disorder." In Autism and Child Psychopathology Series, 237–64. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8250-5_16.

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Conference papers on the topic "Autism disorder spectrum"

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Thabtah, Fadi. "Autism Spectrum Disorder Screening." In ICMHI '17: International Conference on Medical and Health Informatics 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3107514.3107515.

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Polukarova, Iuliia Olegovna. "Features of Perception and Experience of Time in Children with Autism Spectrum Disorders by Case Description Materials." In International Research-to-practice conference. Publishing house Sreda, 2021. http://dx.doi.org/10.31483/r-98212.

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The relevance of studying the experience of time in children with autism spectrum disorders is discussed on the example of two cases. The theoretical substantiation of this problem is given, as well as the complexity of studying this modality in children with autism spectrum disorder is considered. The reasons why it is necessary to study the problem of the experience of time in children with autism spectrum disorder are discussed. The experience of time in children with autism spectrum disorder is described on the basis of two cases.
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de-la-Iglesia, Myriam, José-Sixto Olivar, and Ruth Pinedo. "NEUROSCIENCE IN EDUCATION: AUTISM SPECTRUM DISORDER AND MOOD DISORDERS." In International Conference on Education and New Learning Technologies. IATED, 2016. http://dx.doi.org/10.21125/edulearn.2016.0454.

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Moscatelli, Fiorenzo, Rita Polito, Alberto Ametta, Marcellino Monda, Antonietta Messina, Francesco Sessa, Aurora Daniele, Anna Valenzano, Giuseppe Cibelli, and Vincenzo Monda. "Autism spectrum disorder and physical activity." In Journal of Human Sport and Exercise - 2020 - Spring Conferences of Sports Science. Universidad de Alicante, 2020. http://dx.doi.org/10.14198/jhse.2020.15.proc3.29.

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Spicker, Marc, Diana Arellano, Ulrich Schaller, Reinhold Rauh, Volker Helzle, and Oliver Deussen. "Emotion recognition in autism spectrum disorder." In SAP '16: ACM Symposium on Applied Perception 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2931002.2931004.

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Singh, Avantika, Aakriti Mathur, and Nitasha Hasteer. "Bridging Learning Gap for Autism Spectrum Disorder." In 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). IEEE, 2019. http://dx.doi.org/10.1109/icccis48478.2019.8974529.

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Wiratsin, In-On, and Lalita Narupiyakul. "Feature Selection Technique for Autism Spectrum Disorder." In CCEAI 2021: 5th International Conference on Control Engineering and Artificial Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448218.3448241.

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Tyagi, Bhawana, Rahul Mishra, and Neha Bajpai. "Machine Learning Techniques to Predict Autism Spectrum Disorder." In 2018 IEEE Punecon. IEEE, 2018. http://dx.doi.org/10.1109/punecon.2018.8745405.

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Zunino, Andrea, Pietro Morerio, Andrea Cavallo, Caterina Ansuini, Jessica Podda, Francesca Battaglia, Edvige Veneselli, Cristina Becchio, and Vittorio Murino. "Video Gesture Analysis for Autism Spectrum Disorder Detection." In 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018. http://dx.doi.org/10.1109/icpr.2018.8545095.

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Chorianopoulou, Arodami, Efthymios Tzinis, Elias Iosif, Asimenia Papoulidi, Christina Papailiou, and Alexandros Potamianos. "Engagement detection for children with Autism Spectrum Disorder." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953119.

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Reports on the topic "Autism disorder spectrum"

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Paul, Satashree. Autism Spectrum Disorder. Science Repository, February 2021. http://dx.doi.org/10.31487/sr.blog.26.

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Vorhees, Charles. Prenatal Antidepressants and Autism Spectrum Disorder. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada611001.

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Koo, Helen, Susan Rivera, Kim Gaul, and Tingrui Pan. Development of Wearable Technology for Autism Spectrum Disorder. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1581.

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Williamson, M.D., Edwin, Nila A. Sathe, M.A., M.L.I.S., and Jeffrey C. Andrews, M.D. Medical Therapies for Children With Autism Spectrum Disorder—An Update. Agency for Healthcare Research and Quality (AHRQ), 2017. http://dx.doi.org/10.23970/ahrqepccer189.

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Michael Sachs, Michael Sachs. Increasing Regular Physical Activity Participation in Adults with Autism Spectrum Disorder. Experiment, June 2017. http://dx.doi.org/10.18258/9575.

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Brown, Timothy. Evaluating and Enhancing Driving Ability among Teens with Autism Spectrum Disorder. Fort Belvoir, VA: Defense Technical Information Center, June 2015. http://dx.doi.org/10.21236/ada624319.

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Daysal, N. Meltem, Todd Elder, Judith Hellerstein, Scott Imberman, and Chiara Orsini. Parental Skills, Assortative Mating, and the Incidence of Autism Spectrum Disorder. Cambridge, MA: National Bureau of Economic Research, April 2021. http://dx.doi.org/10.3386/w28652.

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Anthony, Laura, Bruno Anthony, and Lauren Kenworthy. Improving Classroom Behaviors Among Students With Symptoms of Autism Spectrum Disorder or Attention Deficit Hyperactivity Disorder. Patient-Centered Outcomes Research Institute® (PCORI), May 2020. http://dx.doi.org/10.25302/04.2020.ad.13047379.

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Anthony, Laura, Bruno Anthony, and Lauren Kenworthy. Improving Classroom Behaviors Among Students With Symptoms of Autism Spectrum Disorder or Attention Deficit Hyperactivity Disorder. Patient-Centered Outcomes Research Institute (PCORI), June 2020. http://dx.doi.org/10.25302/06.2020.ad.13047379.

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Cox, Daniel J. Evaluating and Enhancing Driving Ability Among Teens with Autism Spectrum Disorder (ASD). Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada612564.

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