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      Brain structure in pediatric Tourette syndrome

      research-article
      1 , 2 , 3 , 1 , 1 , 2 , 4 , 5 , 6 ,   1 , 2 , 4 , 5 , , and The Tourette Association of America Neuroimaging Consortium
      Molecular Psychiatry
      Nature Publishing Group UK
      Neuroscience, Psychiatric disorders

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          Abstract

          Previous studies of brain structure in Tourette syndrome (TS) have produced mixed results, and most had modest sample sizes. In the present multicenter study, we used structural magnetic resonance imaging (MRI) to compare 103 children and adolescents with TS to a well-matched group of 103 children without tics. We applied voxel-based morphometry methods to test gray matter (GM) and white matter (WM) volume differences between diagnostic groups, accounting for MRI scanner and sequence, age, sex and total GM+WM volume. The TS group demonstrated lower WM volume bilaterally in orbital and medial prefrontal cortex, and greater GM volume in posterior thalamus, hypothalamus and midbrain. These results demonstrate evidence for abnormal brain structure in children and youth with TS, consistent with and extending previous findings, and they point to new target regions and avenues of study in TS. For example, as orbital cortex is reciprocally connected with hypothalamus, structural abnormalities in these regions may relate to abnormal decision making, reinforcement learning or somatic processing in TS.

          Supplementary information

          The online version of this article (doi:10.1038/mp.2016.194) contains supplementary material, which is available to authorized users.

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          Most cited references83

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            A voxel-based morphometric study of ageing in 465 normal adult human brains.

            Voxel-based-morphometry (VBM) is a whole-brain, unbiased technique for characterizing regional cerebral volume and tissue concentration differences in structural magnetic resonance images. We describe an optimized method of VBM to examine the effects of age on grey and white matter and CSF in 465 normal adults. Global grey matter volume decreased linearly with age, with a significantly steeper decline in males. Local areas of accelerated loss were observed bilaterally in the insula, superior parietal gyri, central sulci, and cingulate sulci. Areas exhibiting little or no age effect (relative preservation) were noted in the amygdala, hippocampi, and entorhinal cortex. Global white matter did not decline with age, but local areas of relative accelerated loss and preservation were seen. There was no interaction of age with sex for regionally specific effects. These results corroborate previous reports and indicate that VBM is a useful technique for studying structural brain correlates of ageing through life in humans.
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              Orbitofrontal cortex as a cognitive map of task space.

              Orbitofrontal cortex (OFC) has long been known to play an important role in decision making. However, the exact nature of that role has remained elusive. Here, we propose a unifying theory of OFC function. We hypothesize that OFC provides an abstraction of currently available information in the form of a labeling of the current task state, which is used for reinforcement learning (RL) elsewhere in the brain. This function is especially critical when task states include unobservable information, for instance, from working memory. We use this framework to explain classic findings in reversal learning, delayed alternation, extinction, and devaluation as well as more recent findings showing the effect of OFC lesions on the firing of dopaminergic neurons in ventral tegmental area (VTA) in rodents performing an RL task. In addition, we generate a number of testable experimental predictions that can distinguish our theory from other accounts of OFC function. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                kevin@WUSTL.edu
                Journal
                Mol Psychiatry
                Mol Psychiatry
                Molecular Psychiatry
                Nature Publishing Group UK (London )
                1359-4184
                1476-5578
                25 October 2016
                25 October 2016
                2017
                : 22
                : 7
                : 972-980
                Affiliations
                [1 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Psychiatry, , Washington University School of Medicine, ; St Louis, MO USA
                [2 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Radiology, , Washington University School of Medicine, ; St Louis, MO USA
                [3 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Washington University School of Medicine, ; St Louis, MO USA
                [4 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Neurology, , Washington University School of Medicine, ; St Louis, MO USA
                [5 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Neuroscience, , Washington University School of Medicine, ; St Louis, MO USA
                [6 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Pediatrics, , Washington University School of Medicine, ; St Louis, MO USA
                Article
                BFmp2016194
                10.1038/mp.2016.194
                5405013
                27777415
                063d9d76-a55b-41c7-ac44-29cdeaed9d0d
                © The Author(s) 2017

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 27 May 2016
                : 5 August 2016
                : 6 September 2016
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2017

                Molecular medicine
                neuroscience,psychiatric disorders
                Molecular medicine
                neuroscience, psychiatric disorders

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