1. {{Neurodevelopmental disorders: Deficient auditory processing identified in children with suspected autism spectrum disorder}}. {Nat Rev Neurol};2012 (Jan 24)
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2. Bird EK, Lamond E, Holden J. {{Survey of bilingualism in autism spectrum disorders}}. {Int J Lang Commun Disord};2012 (Jan);47(1):52-64.
This survey study investigates issues related to bilingualism and autism. Bilingualism is common around the world but there is little published information to guide professionals and parents in making decisions about bilingualism for children with autism. Participants were 49 parents or guardians of children with autism who were members of a bilingual family; 75% were raising their child with autism spectrum disorders (ASD) to be bilingual or multilingual. Professionals did not always support this choice. Parents reported that living in a bilingual community and the need to communicate with various people in a variety of venues supported a bilingual choice along with the enrichment and job opportunities that bilingualism afforded. Parents also reported concerns around choosing bilingualism for their children with ASD, such as lack of services and supports and concerns about whether their children would be able to learn two languages. Children with ASD exposed to two languages were often reported to be acquiring their languages of exposure, albeit to varying degrees. Given the small sample size and the exploratory nature of the study, the need for more research is emphasized.
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3. Close HA, Lee LC, Kaufmann CN, Zimmerman AW. {{Co-occurring Conditions and Change in Diagnosis in Autism Spectrum Disorders}}. {Pediatrics};2012 (Jan 23)
OBJECTIVE:This study aimed to investigate descriptive characteristics and co-occurring neurodevelopmental and psychiatric conditions in young children, children, and adolescents with a current and consistent or past but not current (PBNC) diagnosis of autism spectrum disorder (ASD) and how such characteristics and conditions may engender a change in diagnosis of an ASD.METHODS:Cross-sectional data of 1366 children with a parent-reported current or PBNC ASD diagnosis were obtained from the National Survey of Children’s Health 2007 data set across 3 developmental stages: young children (aged 3-5 years), children (aged 6-11 years), and adolescents (aged 12-17 years). Multinomial logistic regression was used to examine demographic characteristics and co-occurring conditions that differentiate the groups with a current ASD from groups with a PBNC ASD.RESULTS:Results indicated the co-occurring conditions that distinguish groups currently diagnosed with an ASD from groups with a PBNC ASD diagnosis. In young children, current moderate/severe learning disability, and current moderate/severe developmental delay; in children, past speech problem, current moderate/severe anxiety, and past hearing problem; and in adolescents, current moderate/severe speech problem, current mild seizure/epilepsy, and past hearing problem.CONCLUSIONS:These findings suggest that the presence of co-occurring psychiatric and neurodevelopmental conditions are associated with a change in ASD diagnosis. Questions remain as to whether changes in diagnosis of an ASD are due to true etiologic differences or shifts in diagnostic determination.
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4. Goh S, Peterson BS. {{Imaging evidence for disturbances in multiple learning and memory systems in persons with autism spectrum disorders}}. {Dev Med Child Neurol};2012 (Jan 23)
Aim The aim of this article is to review neuroimaging studies of autism spectrum disorders (ASD) that examine declarative, socio-emotional, and procedural learning and memory systems. Method We conducted a search of PubMed from 1996 to 2010 using the terms ‘autism, »learning, »memory,’ and ‘neuroimaging.’ We limited our review to studies correlating learning and memory function with neuroimaging features of the brain. Results The early literature supports the following preliminary hypotheses: (1) abnormalities of hippocampal subregions may contribute to autistic deficits in episodic and relational memory; (2) disturbances to an amygdala-based network (which may include the fusiform gyrus, superior temporal cortex, and mirror neuron system) may contribute to autistic deficits in socio-emotional learning and memory; and (3) abnormalities of the striatum may contribute to developmental dyspraxia in individuals with ASD. Interpretation Characterizing the disturbances to learning and memory systems in ASD can inform our understanding of the neural bases of autistic behaviors and the phenotypic heterogeneity of ASD.
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5. Hoeffer CA, Sanchez E, Hagerman RJ, Mu Y, Nguyen DV, Wong H, Whelan AM, Zukin RS, Klann E, Tassone F. {{Altered mTOR signaling and enhanced CYFIP2 expression levels in subjects with Fragile X syndrome}}. {Genes Brain Behav};2012 (Jan 23)
Fragile X Syndrome (FXS) is the most common form of inherited intellectual disability and autism. The protein (FMRP) encoded by the fragile X mental retardation gene (FMR1), is an RNA-binding protein linked to translational control. Recently, in the Fmr1 knockout mouse model of FXS, dysregulated translation initiation signaling was observed. To investigate whether an altered signaling was also a feature of subjects with FXS compared to typical developing controls, we isolated total RNA and translational control proteins from lymphocytes of subjects from both groups (38 FXS and 14 TD). Although we did not observe any difference in the expression level of mRNAs for translational initiation control proteins isolated from participant with FXS, we found increased phosphorylation of the mammalian target of rapamycin (mTOR) substrate, p70 ribosomal subunit 6 kinase1 (S6K1) and of the mTOR regulator, the serine/threonine protein kinase (Akt), in their protein lysates. In addition, we observed increased phosphorylation of the cap binding protein eukaryotic initiation factor 4E (eIF4E) suggesting that protein synthesis is upregulated in FXS. Similarly to the findings in lymphocytes, we observed increased phosphorylation of S6K1 in brain tissue from patients with FXS (n=6) compared to normal age matched controls (n=4). Finally, we detected increased expression of the cytoplasmic FMR1-interacting protein 2 (CYFIP2), a known FMRP interactor. This data verify and extend previous findings using lymphocytes for studies of neuropsychiatric disorders and provide evidence that misregulation of mTOR signaling observed in a FXS mouse model also occurs in human FXS and may provide useful biomarkers for designing target treatments in FXS.
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6. Holwerda A, van der Klink JJ, Groothoff JW, Brouwer S. {{Predictors for Work Participation in Individuals with an Autism Spectrum Disorder: A Systematic Review}}. {J Occup Rehabil};2012 (Jan 24)
Introduction Research shows that only about 25% of people with autism are employed. Method We conducted a systematic review on factors facilitating or hindering work participation of people with autism in longitudinal studies. An extensive search in biomedical and psychological databases yielded 204 articles and 18 satisfied all inclusion criteria. We assessed the methodological quality of included studies using an established criteria list. Results Seventeen factors were identified and categorized as disease-related factors, personal factors or external factors. Limited cognitive ability was the only significant predictor consistently found for work outcome. Functional independence and institutionalization were both reported by one study to be significantly related to work outcome. Inconsistent findings or non significant findings were reported for the other fourteen factors. Conclusion These findings emphasize the need for more high quality cohort studies focussing on work participation as the main outcome among people with Autism.
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7. Kocovska E, Biskupsto R, Carina Gillberg I, Ellefsen A, Kampmann H, Stora T, Billstedt E, Gillberg C. {{The Rising Prevalence of Autism: A Prospective Longitudinal Study in the Faroe Islands}}. {J Autism Dev Disord};2012 (Jan 25)
We have followed up a 2002 population study of autism prevalence in 15-24-year olds in the Faroe Islands. The rate of ASD grew significantly from 0.56% in 2002 to 0.94% in 2009. Although these results are within the range of typical findings from other studies, there were some interesting details. There were-in addition to 43 originally diagnosed cases in 2002-24 newly discovered cases in 2009 and nearly half of them were females. It is possible that unfamiliarity with the clinical presentation of autism in females have played a significant role in this context. There was diagnostic stability for the overall category of ASD over time in the group diagnosed in childhood (7-16) years, but considerable variability as regards diagnostic sub-groupings.
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8. Matsuzaki J, Kagitani-Shimono K, Goto T, Sanefuji W, Yamamoto T, Sakai S, Uchida H, Hirata M, Mohri I, Yorifuji S, Taniike M. {{Differential responses of primary auditory cortex in autistic spectrum disorder with auditory hypersensitivity}}. {Neuroreport};2012 (Jan 25);23(2):113-118.
The aim of this study was to investigate the differential responses of the primary auditory cortex to auditory stimuli in autistic spectrum disorder with or without auditory hypersensitivity. Auditory-evoked field values were obtained from 18 boys (nine with and nine without auditory hypersensitivity) with autistic spectrum disorder and 12 age-matched controls. Autistic disorder with hypersensitivity showed significantly more delayed M50/M100 peak latencies than autistic disorder without hypersensitivity or the control. M50 dipole moments in the hypersensitivity group were statistically larger than those in the other two groups. M50/M100 peak latencies were correlated with the severity of auditory hypersensitivity; furthermore, severe hypersensitivity induced more behavioral problems. This study indicates auditory hypersensitivity in autistic spectrum disorder as a characteristic response of the primary auditory cortex, possibly resulting from neurological immaturity or functional abnormalities in it.
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9. Ruble L, McGrew JH, Toland MD. {{Goal Attainment Scaling as an Outcome Measure in Randomized Controlled Trials of Psychosocial Interventions in Autism}}. {J Autism Dev Disord};2012 (Jan 21)
Goal attainment scaling (GAS) holds promise as an idiographic approach for measuring outcomes of psychosocial interventions in community settings. GAS has been criticized for untested assumptions of scaling level (i.e., interval or ordinal), inter-individual equivalence and comparability, and reliability of coding across different behavioral observation methods. We tested assumptions of equality between GAS descriptions for outcome measurement in a randomized trial (i.e., measurability, equidistance, level of difficulty, comparability of behavior samples collected from teachers vs. researchers and live vs. videotape). Results suggest GAS descriptions can be evaluated for equivalency, that teacher collected behavior samples are representative, and that varied sources of behavior samples can be reliably coded. GAS is a promising measurement approach. Recommendations are provided to ensure methodological quality.
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10. Tek S, Landa RJ. {{Differences in Autism Symptoms Between Minority and Non-Minority Toddlers}}. {J Autism Dev Disord};2012 (Jan 25)
Little is known about whether early symptom presentation differs in toddlers with ASD from ethnic minority versus non-minority backgrounds. Within a treatment study for toddlers with ASD, we compared 19 minority to 65 Caucasian children and their parents on variables obtained from the Mullen Scales of Early Learning, Autism Diagnostic Observation Schedule, and Communication and Symbolic Behavior Scales Caregiver Questionnaire. The majority of parents were from the upper classes irrespective of ethnic membership. Minority children had lower scores in language, communication, and gross motor than non-minority children. Findings indicate that subtle communication delays may be undetected or presumed unremarkable by parents of minority toddlers, and that more significant delays are needed to prompt the search for intervention services.
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11. Yerys BE, Wolff BC, Moody E, Pennington BF, Hepburn SL. {{Brief Report: Impaired Flexible Item Selection Task (FIST) in School-Age Children with Autism Spectrum Disorders}}. {J Autism Dev Disord};2012 (Jan 24)
Cognitive flexibility has been measured with inductive reasoning or explicit rule tasks in individuals with autism spectrum disorders (ASD). The Flexible Item Selection Task (FIST) differs from previous cognitive flexibility tasks in ASD research by giving children an abstract, ambiguous rule to switch. The ASD group (N = 22; Mean age = 8.28 years, SD = 1.52) achieved a lower shift percentage than the typically developing verbal mental-age control group (N = 22; Mean age = 6.26 years, SD = 0.82). There was a significant positive correlation between verbal mental age and shift percentage for children with ASD. Group differences on the FIST converge and extend prior evidence documenting an impaired ability to adapt rapidly to changes in task demands for individuals with ASD.
