1. Brisson J, Warreyn P, Serres J, Foussier S, Adrien JL. {{Motor Anticipation Failure in Infants With Autism: a Retrospective Analysis of Feeding Situations}}. {Autism}. 2012 Jan 16.
Previous studies on autism have shown a lack of motor anticipation in children and adults with autism. As part of a programme of research into early detection of autism, we focussed on an everyday situation: spoon-feeding. We hypothesize that an anticipation deficit may be found very early on by observing whether the baby opens his or her mouth in anticipation of the spoon’s approach. The study is based on a retrospective analysis from family home movies. Observation of infants later diagnosed with autism or an autism spectrum disorder (ASD) (n = 13) and infants with typical development (n = 14) between 4 and 6 months old show that the autism/ASD group has an early anticipation deficit.
Lien vers le texte intégral (Open Access ou abonnement)
2. Calderoni S, Retico A, Biagi L, Tancredi R, Muratori F, Tosetti M. {{Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses}}. {Neuroimage}. 2012 Jan 16;59(2):1013-22.
Several studies on structural MRI in children with autism spectrum disorders (ASD) have mainly focused on samples prevailingly consisting of males. Sex differences in brain structure are observable since infancy and therefore caution is required in transferring to females the results obtained for males. The neuroanatomical phenotype of female children with ASD (ASDf) represents indeed a neglected area of research. In this study, we investigated for the first time the anatomic brain structures of a sample entirely composed of ASDf (n=38; 2-7 years of age; mean=53 months; SD=18) with respect to 38 female age and non verbal IQ matched controls, using both mass-univariate and pattern classification approaches. The whole brain volumes of each group were compared using voxel-based morphometry (VBM) with diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) procedure, allowing us to build a study-specific template. Significantly more gray matter (GM) was found in the left superior frontal gyrus (SFG) in ASDf subjects compared to controls. The GM segments obtained in the VBM-DARTEL preprocessing are also classified with a support vector machine (SVM), using the leave-pair-out cross-validation protocol. Then, the recursive feature elimination (SVM-RFE) approach allows for the identification of the most discriminating voxels in the GM segments and these prove extremely consistent with the SFG region identified by the VBM analysis. Furthermore, the SVM-RFE map obtained with the most discriminating set of voxels corresponding to the maximum Area Under the Receiver Operating Characteristic Curve (AUC(max)=0.80) highlighted a more complex circuitry of increased cortical volume in ASDf, involving bilaterally the SFG and the right temporo-parietal junction (TPJ). The SFG and TPJ abnormalities may be relevant to the pathophysiology of ASDf, since these structures participate in some core atypical features of autism.
Lien vers le texte intégral (Open Access ou abonnement)
3. Hunter JE, Sherman S, Grigsby J, Kogan C, Cornish K. {{Capturing the fragile X premutation phenotypes: A collaborative effort across multiple cohorts}}. {Neuropsychology}. 2012 Jan 16.
Objective: To capture the neuropsychological profile among male carriers of the FMR1 premutation allele (55-200 CGG repeats) who do not meet diagnostic criteria for the late-onset fragile X-associated tremor/ataxia syndrome, FXTAS. Method: We have initiated a multicenter collaboration that includes 3 independent cohorts, totaling 100 carriers of the premutation and 216 noncarriers. The initial focus of this collaboration has been on executive function. Four executive function scores are shared among the 3 cohorts (Controlled Oral Word Association Test, Stroop Color-Word Test, and Wechsler backward digit span and letter-number sequencing) whereas additional executive function scores are available for specific cohorts (Behavior Dyscontrol Scale, Hayling Sentence Completion Test Part B, and Wisconsin Card Sorting Test). Raw scores were analyzed by using statistical models that adjust for cohort-specific effects as well as age and education. Results: Carriers scored significantly lower compared to noncarriers on the Stroop Color-Word Test (p = .01), Hayling Sentence Completion Test Part B (p < .01), and Behavioral Dyscontrol Scale (p = .03), with the Hayling displaying a significant age-related decline (p = .01), as assessed by an age and repeat length-group interaction. Follow-up analysis of the collective data did not identify any specific age groups or repeat length ranges (i.e., low premutation = 55-70 repeats, midpremutation = 71-100 repeats, high premutation = 101-199 repeats) that were associated with an increased risk of executive function deficits. Conclusions: Preliminary analyses do not indicate global executive function impairment among male carriers without FXTAS compared to noncarriers. However, impairment in inhibitory capacity may be present among a subset of carriers, though the risk factors for this group do not appear to be related to age or repeat length. (PsycINFO Database Record (c) 2012 APA, all rights reserved).
Lien vers le texte intégral (Open Access ou abonnement)
4. McKay LS, Simmons DR, McAleer P, Marjoram D, Piggot J, Pollick FE. {{Do distinct atypical cortical networks process biological motion information in adults with Autism Spectrum Disorders?}}. {Neuroimage}. 2012 Jan 16;59(2):1524-33.
Whether people with Autism Spectrum Disorders (ASDs) have a specific deficit when processing biological motion has been a topic of much debate. We used psychophysical methods to determine individual behavioural thresholds in a point-light direction discrimination paradigm for a small but carefully matched groups of adults (N=10 per group) with and without ASDs. These thresholds were used to derive individual stimulus levels in an identical fMRI task, with the purpose of equalising task performance across all participants whilst inside the scanner. The results of this investigation show that despite comparable behavioural performance both inside and outside the scanner, the group with ASDs shows a different pattern of BOLD activation from the TD group in response to the same stimulus levels. Furthermore, connectivity analysis suggests that the main differences between the groups are that the TD group utilise a unitary network with information passing from temporal to parietal regions, whilst the ASD group utilise two distinct networks; one utilising motion sensitive areas and another utilising form selective areas. Furthermore, a temporal-parietal link that is present in the TD group is missing in the ASD group. We tentatively propose that these differences may occur due to early dysfunctional connectivity in the brains of people with ASDs, which to some extent is compensated for by rewiring in high functioning adults.
Lien vers le texte intégral (Open Access ou abonnement)
5. Patterson SY, Smith V, Mirenda P. {{A systematic review of training programs for parents of children with autism spectrum disorders: Single subject contributions}}. {Autism}. 2012 Jan 16.
Aim: The purpose of this systematic review was to examine research utilizing single subject research designs (SSRD) to explore the effectiveness of interventions designed to increase parents’ ability to support communication and social development in children with autism spectrum disorders (ASDs).Method: Included studies were systematically assessed for methodological quality (Logan et al., 2008; Smith et al., 2007) and intervention effects. Data examining participant characteristics, study methodology, outcomes, and analysis were systematically extracted.Results: Eleven SSRD parent-training intervention studies examining 44 participants with ASD were included. Overall, the studies were of moderate quality and reported increases in parent skills and child language and communication outcomes.Interpretation: The results supported by improvement rate difference (IRD) analysis indicated several interventions demonstrated positive effects for both parent and child outcomes. However, limited generalization and follow-up data suggested only one intervention demonstrated parents’ accurate and ongoing intervention implementation beyond training.
