1. Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
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Artur Marchewka, Natalia Gawron, Katarzyna Jednoróg, Stefan Heim, and Anna Grabowska
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Male ,medicine.medical_specialty ,Neurology ,Histology ,Neuroscience(all) ,Posterior parietal cortex ,Grey matter ,computer.software_genre ,Brain mapping ,Speech Disorders ,Dyslexia ,Voxel ,mental disorders ,Image Processing, Computer-Assisted ,medicine ,Cluster Analysis ,Humans ,Attention ,ddc:610 ,Gray Matter ,VBM ,Child ,Brain Mapping ,Cognitive deficits ,General Neuroscience ,Wechsler Scales ,Brain ,Wechsler Adult Intelligence Scale ,Cognition ,medicine.disease ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Reading ,nervous system ,Original Article ,Female ,Heterogeneity ,Anatomy ,Cognition Disorders ,Psychology ,Neuroscience ,computer - Abstract
The variety of different causal theories together with inconsistencies about the anatomical brain markers emphasize the heterogeneity of developmental dyslexia. Attempts were made to test on a behavioral level the existence of subtypes of dyslexia showing distinguishable cognitive deficits. Importantly, no research was directly devoted to the investigation of structural brain correlates of these subtypes. Here, for the first time, we applied voxel-based morphometry (VBM) to study grey matter volume (GMV) differences in a relatively large sample (n = 46) of dyslexic children split into three subtypes based on the cognitive deficits: phonological, rapid naming, magnocellular/dorsal, and auditory attention shifting. VBM revealed GMV clusters specific for each studied group including areas of left inferior frontal gyrus, cerebellum, right putamen, and bilateral parietal cortex. In addition, using discriminant analysis on these clusters 79 % of cross-validated cases were correctly re-classified into four groups (controls vs. three subtypes). Current results indicate that dyslexia may result from distinct cognitive impairments characterized by distinguishable anatomical markers. Electronic supplementary material The online version of this article (doi:10.1007/s00429-013-0595-6) contains supplementary material, which is available to authorized users.
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