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      Voxel and surface based whole brain analysis shows reading skill associated grey matter abnormalities in dyslexia

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          Abstract

          Developmental dyslexia (DD) is the most prevalent neurodevelopmental disorder with a substantial negative influence on the individual’s academic achievement and career. Research on its neuroanatomical origins has continued for half a century, yielding, however, inconsistent results, lowered total brain volume being the most consistent finding. We set out to evaluate the grey matter (GM) volume and cortical abnormalities in adult dyslexic individuals, employing a combination of whole-brain voxel- and surface-based morphometry following current recommendations on analysis approaches, coupled with rigorous neuropsychological testing. Whilst controlling for age, sex, total intracranial volume, and performance IQ, we found both decreased GM volume and cortical thickness in the left insula in participants with DD. Moreover, they had decreased GM volume in left superior temporal gyrus, putamen, globus pallidus, and parahippocampal gyrus. Higher GM volumes and cortical thickness in these areas correlated with better reading and phonological skills, deficits of which are pivotal to DD. Crucially, total brain volume did not influence our results, since it did not differ between the groups. Our findings demonstrating abnormalities in brain areas in individuals with DD, which previously were associated with phonological processing, are compatible with the leading hypotheses on the neurocognitive origins of DD.

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          Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

          An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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            Voxel-based morphometry--the methods.

            At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the same stereotactic space. This is followed by segmenting the gray matter from the spatially normalized images and smoothing the gray-matter segments. Voxel-wise parametric statistical tests which compare the smoothed gray-matter images from the two groups are performed. Corrections for multiple comparisons are made using the theory of Gaussian random fields. This paper describes the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with nonuniformity artifact. We provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data. Copyright 2000 Academic Press.
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              Distinct genetic influences on cortical surface area and cortical thickness.

              Neuroimaging studies examining the effects of aging and neuropsychiatric disorders on the cerebral cortex have largely been based on measures of cortical volume. Given that cortical volume is a product of thickness and surface area, it is plausible that measures of volume capture at least 2 distinct sets of genetic influences. The present study aims to examine the genetic relationships between measures of cortical surface area and thickness. Participants were men in the Vietnam Era Twin Study of Aging (110 monozygotic pairs and 92 dizygotic pairs). Mean age was 55.8 years (range: 51-59). Bivariate twin analyses were utilized in order to estimate the heritability of cortical surface area and thickness, as well as their degree of genetic overlap. Total cortical surface area and average cortical thickness were both highly heritable (0.89 and 0.81, respectively) but were essentially unrelated genetically (genetic correlation = 0.08). This pattern was similar at the lobar and regional levels of analysis. These results demonstrate that cortical volume measures combine at least 2 distinct sources of genetic influences. We conclude that using volume in a genetically informative study, or as an endophenotype for a disorder, may confound the underlying genetic architecture of brain structure.
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                Author and article information

                Contributors
                teija.m.kujala@helsinki.fi
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 May 2021
                25 May 2021
                2021
                : 11
                : 10862
                Affiliations
                [1 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, , University of Helsinki, ; Haartmaninkatu 3 B, P.O. Box 21, 00014 Helsinki, Finland
                [2 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Neurosciences, , Faculty of Medicine, University of Helsinki, ; Helsinki, Finland
                [3 ]GRID grid.490581.1, ISNI 0000 0004 0639 5082, Department of Radiology, , Töölö Hospital, Helsinki University Central Hospital, ; Helsinki, Finland
                [4 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Psychology and Logopedics, Faculty of Medicine, , University of Helsinki, ; Helsinki, Finland
                [5 ]GRID grid.15485.3d, ISNI 0000 0000 9950 5666, Department of Phoniatrics, , Helsinki University Hospital, ; Helsinki, Finland
                [6 ]GRID grid.9668.1, ISNI 0000 0001 0726 2490, School of Humanities, Philosophical Faculty, , University of Eastern Finland, ; Joensuu, Finland
                Article
                89317
                10.1038/s41598-021-89317-x
                8149879
                34035329
                66fcf81a-eff3-44cd-a509-2668c5cbc5d6
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 January 2021
                : 1 April 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002341, Academy of Finland;
                Award ID: 316970
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004012, Jane ja Aatos Erkon Säätiö;
                Funded by: FundRef http://dx.doi.org/10.13039/501100003125, Suomen Kulttuurirahasto;
                Award ID: 191230
                Award Recipient :
                Funded by: Orion Research Foundation sr
                Funded by: FundRef http://dx.doi.org/10.13039/100007798, Helsingin Yliopiston Tiedesäätiö;
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                neuroscience,psychology,anatomy,neurology
                Uncategorized
                neuroscience, psychology, anatomy, neurology

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