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      Differences in Cortical Structure and Functional MRI Connectivity in High Functioning Autism

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          Abstract

          Autism spectrum disorders (ASD) represent a complex group of neurodevelopmental conditions characterized by deficits in communication and social behaviors. We examined the functional connectivity (FC) of the default mode network (DMN) and its relation to multimodal morphometry to investigate superregional, system-level alterations in a group of 22 adolescents and young adults with high-functioning autism compared to age-, and intelligence quotient-matched 29 healthy controls. The main findings were that ASD patients had gray matter (GM) reduction, decreased cortical thickness and larger cortical surface areas in several brain regions, including the cingulate, temporal lobes, and amygdala, as well as increased gyrification in regions associated with encoding visual memories and areas of the sensorimotor component of the DMN, more pronounced in the left hemisphere. Moreover, patients with ASD had decreased connectivity between the posterior cingulate cortex, and areas of the executive control component of the DMN and increased FC between the anteromedial prefrontal cortex and areas of the sensorimotor component of the DMN. Reduced cortical thickness in the right inferior frontal lobe correlated with higher social impairment according to the scores of the Autism Diagnostic Interview-Revised (ADI-R). Reduced cortical thickness in left frontal regions, as well as an increased cortical thickness in the right temporal pole and posterior cingulate, were associated with worse scores on the communication domain of the ADI-R. We found no association between scores on the restrictive and repetitive behaviors domain of ADI-R with structural measures or FC. The combination of these structural and connectivity abnormalities may help to explain some of the core behaviors in high-functioning ASD and need to be investigated further.

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          Autism spectrum disorders: developmental disconnection syndromes.

          Autism is a common and heterogeneous childhood neurodevelopmental disorder. Analogous to broad syndromes such as mental retardation, autism has many etiologies and should be considered not as a single disorder but, rather, as 'the autisms'. However, recent genetic findings, coupled with emerging anatomical and functional imaging studies, suggest a potential unifying model in which higher-order association areas of the brain that normally connect to the frontal lobe are partially disconnected during development. This concept of developmental disconnection can accommodate the specific neurobehavioral features that are observed in autism, their emergence during development, and the heterogeneity of autism etiology, behaviors and cognition.
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            Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations.

            A previous report of correlations in low-frequency resting-state fluctuations between right and left hemisphere motor cortices in rapidly sampled single-slice echoplanar data is confirmed using a whole-body echoplanar MRI scanner at 1.5 T. These correlations are extended to lower sampling rate multislice echoplanar acquisitions and other right/left hemisphere-symmetric functional cortices. The specificity of the correlations in the lower sampling-rate acquisitions is lower due to cardiac and respiratory-cycle effects which are aliased into the pass-band of the low-pass filter. Data are combined for three normal right-handed male subjects. Correlations to left hemisphere motor cortex, visual cortex, and amygdala are measured in long resting-state scans.
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              Autism and abnormal development of brain connectivity.

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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                10 July 2018
                2018
                : 9
                : 539
                Affiliations
                [1] 1Neuroimaging Laboratory, School of Medical Sciences, The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas , Campinas, Brazil
                [2] 2Department of Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul , Porto Alegre, Brazil
                [3] 3Department of Psychiatry, State University of Campinas , Campinas, Brazil
                [4] 4Center for Cognitive Neuroscience, Reward and Decision Making Group, Centre National de la Recherche Scientifique, UMR 5229 , Lyon, France
                [5] 5Centro Integral en Neurociencias A.C., Hospital HM Puerta del Sur en Madrid , Madrid, Spain
                [6] 6Brain Institute (InsCer), Pontifícia Universidade Católica do Rio Grande do Sul , Porto Alegre, Brazil
                Author notes

                Edited by: Argye Hillis, Johns Hopkins Medicine, United States

                Reviewed by: Elysa Jill Marco, University of California, San Francisco, United States; Roma Siugzdaite, Ghent University, Belgium

                *Correspondence: Fernando Cendes fcendes@ 123456unicamp.br

                This article was submitted to Applied Neuroimaging, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2018.00539
                6048242
                30042724
                837d216c-8c08-4ba4-b1cf-4cc47fc5be79
                Copyright © 2018 Pereira, Campos, Coan, Pegoraro, de Rezende, Obeso, Dalgalarrondo, da Costa, Dreher and Cendes.

                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) and the copyright owner(s) 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
                : 14 October 2017
                : 18 June 2018
                Page count
                Figures: 8, Tables: 8, Equations: 0, References: 153, Pages: 21, Words: 15240
                Funding
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo 10.13039/501100001807
                Award ID: 2013/07559-3
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico 10.13039/501100003593
                Award ID: 150731/2012-4
                Funded by: Agence Nationale de la Recherche 10.13039/501100001665
                Award ID: ANR-11-IDEX-0007
                Categories
                Neurology
                Original Research

                Neurology
                autism spectrum disorders,functional connectivity,mri,cortical thickness,default mode network (dmn),social communication,stereotyped behavior

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