Cargando…

Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume

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. Importan...

Descripción completa

Detalles Bibliográficos
Autores principales: Jednoróg, Katarzyna, Gawron, Natalia, Marchewka, Artur, Heim, Stefan, Grabowska, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147248/
https://www.ncbi.nlm.nih.gov/pubmed/23775490
http://dx.doi.org/10.1007/s00429-013-0595-6
_version_ 1782332408187584512
author Jednoróg, Katarzyna
Gawron, Natalia
Marchewka, Artur
Heim, Stefan
Grabowska, Anna
author_facet Jednoróg, Katarzyna
Gawron, Natalia
Marchewka, Artur
Heim, Stefan
Grabowska, Anna
author_sort Jednoróg, Katarzyna
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4147248
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-41472482014-08-28 Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume Jednoróg, Katarzyna Gawron, Natalia Marchewka, Artur Heim, Stefan Grabowska, Anna Brain Struct Funct Original Article 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. Springer Berlin Heidelberg 2013-06-18 2014 /pmc/articles/PMC4147248/ /pubmed/23775490 http://dx.doi.org/10.1007/s00429-013-0595-6 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Jednoróg, Katarzyna
Gawron, Natalia
Marchewka, Artur
Heim, Stefan
Grabowska, Anna
Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
title Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
title_full Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
title_fullStr Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
title_full_unstemmed Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
title_short Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
title_sort cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147248/
https://www.ncbi.nlm.nih.gov/pubmed/23775490
http://dx.doi.org/10.1007/s00429-013-0595-6
work_keys_str_mv AT jednorogkatarzyna cognitivesubtypesofdyslexiaarecharacterizedbydistinctpatternsofgreymattervolume
AT gawronnatalia cognitivesubtypesofdyslexiaarecharacterizedbydistinctpatternsofgreymattervolume
AT marchewkaartur cognitivesubtypesofdyslexiaarecharacterizedbydistinctpatternsofgreymattervolume
AT heimstefan cognitivesubtypesofdyslexiaarecharacterizedbydistinctpatternsofgreymattervolume
AT grabowskaanna cognitivesubtypesofdyslexiaarecharacterizedbydistinctpatternsofgreymattervolume