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      Statistical Learning in Specific Language Impairment and Autism Spectrum Disorder: A Meta-Analysis

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          Abstract

          Impairments in statistical learning might be a common deficit among individuals with Specific Language Impairment (SLI) and Autism Spectrum Disorder (ASD). Using meta-analysis, we examined statistical learning in SLI (14 studies, 15 comparisons) and ASD (13 studies, 20 comparisons) to evaluate this hypothesis. Effect sizes were examined as a function of diagnosis across multiple statistical learning tasks (Serial Reaction Time, Contextual Cueing, Artificial Grammar Learning, Speech Stream, Observational Learning, and Probabilistic Classification). Individuals with SLI showed deficits in statistical learning relative to age-matched controls. In contrast, statistical learning was intact in individuals with ASD relative to controls. Effect sizes did not vary as a function of task modality or participant age. Our findings inform debates about overlapping social-communicative difficulties in children with SLI and ASD by suggesting distinct underlying mechanisms. In line with the procedural deficit hypothesis ( Ullman and Pierpont, 2005), impaired statistical learning may account for phonological and syntactic difficulties associated with SLI. In contrast, impaired statistical learning fails to account for the social-pragmatic difficulties associated with ASD.

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          Assessing heterogeneity in meta-analysis: Q statistic or I2 index?

          In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. However, the Q test only informs meta-analysts about the presence versus the absence of heterogeneity, but it does not report on the extent of such heterogeneity. Recently, the I(2) index has been proposed to quantify the degree of heterogeneity in a meta-analysis. In this article, the performances of the Q test and the confidence interval around the I(2) index are compared by means of a Monte Carlo simulation. The results show the utility of the I(2) index as a complement to the Q test, although it has the same problems of power with a small number of studies.
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            Attentional requirements of learning: Evidence from performance measures

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              Contextual cueing: implicit learning and memory of visual context guides spatial attention.

              Global context plays an important, but poorly understood, role in visual tasks. This study demonstrates that a robust memory for visual context exists to guide spatial attention. Global context was operationalized as the spatial layout of objects in visual search displays. Half of the configurations were repeated across blocks throughout the entire session, and targets appeared within consistent locations in these arrays. Targets appearing in learned configurations were detected more quickly. This newly discovered form of search facilitation is termed contextual cueing. Contextual cueing is driven by incidentally learned associations between spatial configurations (context) and target locations. This benefit was obtained despite chance performance for recognizing the configurations, suggesting that the memory for context was implicit. The results show how implicit learning and memory of visual context can guide spatial attention towards task-relevant aspects of a scene.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                23 August 2016
                2016
                : 7
                : 1245
                Affiliations
                [1] 1Department of Psychology, The College of Staten Island and The Graduate Center, City University of New York New York, NY, USA
                [2] 2Deakin University Melbourne, VIC, Australia
                Author notes

                Edited by: Manuel Carreiras, Basque Center on Cognition, Brain and Language, Spain

                Reviewed by: Maria Garraffa, Heriot-Watt University, UK; David Saldaña, University of Seville, Spain

                *Correspondence: Rita Obeid, robeid@ 123456gradcenter.cuny.edu

                This article was submitted to Language Sciences, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2016.01245
                4993848
                27602006
                bd755f9a-ae3f-4433-ae15-801ba0225130
                Copyright © 2016 Obeid, Brooks, Powers, Gillespie-Lynch and Lum.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 April 2016
                : 04 August 2016
                Page count
                Figures: 6, Tables: 5, Equations: 0, References: 134, Pages: 18, Words: 0
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                statistical learning,specific language impairment,autism spectrum disorder,meta-analysis,procedural deficit hypothesis

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