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Effects of SYN1 Q555X mutation on cortical gray matter microstructure
A new Q555X mutation on the SYN1 gene was recently found in several members of a family segregating dyslexia, epilepsy, and autism spectrum disorder. To describe the effects of this mutation on cortical gray matter microstructure, we performed a surface-based group study using novel diffusion and qu...
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Published in: | Human brain mapping 2018-08, Vol.39 (8), p.3428-3448 |
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creator | Cabana, Jean-François Gilbert, Guillaume Létourneau-Guillon, Laurent Safi, Dima Rouleau, Isabelle Cossette, Patrick Nguyen, Dang Khoa |
description | A new Q555X mutation on the SYN1 gene was recently found in several members of a family segregating dyslexia, epilepsy, and autism spectrum disorder. To describe the effects of this mutation on cortical gray matter microstructure, we performed a surface-based group study using novel diffusion and quantitative multiparametric imaging on 13 SYN1
mutation carriers and 13 age- and sex-matched controls. Specifically, diffusion kurtosis imaging (DKI) and neurite orientation and dispersion and density imaging (NODDI) were used to analyze multi-shell diffusion data and obtain parametric maps sensitive to tissue structure, while quantitative metrics sensitive to tissue composition (T1, T2* and relative proton density [PD]) were obtained from a multi-echo variable flip angle FLASH acquisition. Results showed significant microstructural alterations in several regions usually involved in oral and written language as well as dyslexia. The most significant changes in these regions were lowered mean diffusivity and increased fractional anisotropy. This study is, to our knowledge, the first to successfully use diffusion imaging and multiparametric mapping to detect cortical anomalies in a group of subjects with a well-defined genotype linked to language impairments, epilepsy and autism spectrum disorder (ASD). |
doi_str_mv | 10.1002/hbm.24186 |
format | article |
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mutation carriers and 13 age- and sex-matched controls. Specifically, diffusion kurtosis imaging (DKI) and neurite orientation and dispersion and density imaging (NODDI) were used to analyze multi-shell diffusion data and obtain parametric maps sensitive to tissue structure, while quantitative metrics sensitive to tissue composition (T1, T2* and relative proton density [PD]) were obtained from a multi-echo variable flip angle FLASH acquisition. Results showed significant microstructural alterations in several regions usually involved in oral and written language as well as dyslexia. The most significant changes in these regions were lowered mean diffusivity and increased fractional anisotropy. This study is, to our knowledge, the first to successfully use diffusion imaging and multiparametric mapping to detect cortical anomalies in a group of subjects with a well-defined genotype linked to language impairments, epilepsy and autism spectrum disorder (ASD).</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.24186</identifier><identifier>PMID: 29671924</identifier><language>eng</language><publisher>United States</publisher><subject>Adolescent ; Adult ; Aged ; Brain - diagnostic imaging ; Cell Cycle Proteins - genetics ; Family ; Female ; Gray Matter - diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Multimodal Imaging ; Mutation ; Pedigree ; Synapsins ; Young Adult</subject><ispartof>Human brain mapping, 2018-08, Vol.39 (8), p.3428-3448</ispartof><rights>2018 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c974-83826cfd63d05ce8418bab21c361ea6b8e237701408c5fd7f2f1a3b5d93b989d3</citedby><cites>FETCH-LOGICAL-c974-83826cfd63d05ce8418bab21c361ea6b8e237701408c5fd7f2f1a3b5d93b989d3</cites><orcidid>0000-0003-0579-5378</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29671924$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cabana, Jean-François</creatorcontrib><creatorcontrib>Gilbert, Guillaume</creatorcontrib><creatorcontrib>Létourneau-Guillon, Laurent</creatorcontrib><creatorcontrib>Safi, Dima</creatorcontrib><creatorcontrib>Rouleau, Isabelle</creatorcontrib><creatorcontrib>Cossette, Patrick</creatorcontrib><creatorcontrib>Nguyen, Dang Khoa</creatorcontrib><title>Effects of SYN1 Q555X mutation on cortical gray matter microstructure</title><title>Human brain mapping</title><addtitle>Hum Brain Mapp</addtitle><description>A new Q555X mutation on the SYN1 gene was recently found in several members of a family segregating dyslexia, epilepsy, and autism spectrum disorder. To describe the effects of this mutation on cortical gray matter microstructure, we performed a surface-based group study using novel diffusion and quantitative multiparametric imaging on 13 SYN1
mutation carriers and 13 age- and sex-matched controls. Specifically, diffusion kurtosis imaging (DKI) and neurite orientation and dispersion and density imaging (NODDI) were used to analyze multi-shell diffusion data and obtain parametric maps sensitive to tissue structure, while quantitative metrics sensitive to tissue composition (T1, T2* and relative proton density [PD]) were obtained from a multi-echo variable flip angle FLASH acquisition. Results showed significant microstructural alterations in several regions usually involved in oral and written language as well as dyslexia. The most significant changes in these regions were lowered mean diffusivity and increased fractional anisotropy. 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mutation carriers and 13 age- and sex-matched controls. Specifically, diffusion kurtosis imaging (DKI) and neurite orientation and dispersion and density imaging (NODDI) were used to analyze multi-shell diffusion data and obtain parametric maps sensitive to tissue structure, while quantitative metrics sensitive to tissue composition (T1, T2* and relative proton density [PD]) were obtained from a multi-echo variable flip angle FLASH acquisition. Results showed significant microstructural alterations in several regions usually involved in oral and written language as well as dyslexia. The most significant changes in these regions were lowered mean diffusivity and increased fractional anisotropy. This study is, to our knowledge, the first to successfully use diffusion imaging and multiparametric mapping to detect cortical anomalies in a group of subjects with a well-defined genotype linked to language impairments, epilepsy and autism spectrum disorder (ASD).</abstract><cop>United States</cop><pmid>29671924</pmid><doi>10.1002/hbm.24186</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0003-0579-5378</orcidid></addata></record> |
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subjects | Adolescent Adult Aged Brain - diagnostic imaging Cell Cycle Proteins - genetics Family Female Gray Matter - diagnostic imaging Humans Magnetic Resonance Imaging Male Middle Aged Multimodal Imaging Mutation Pedigree Synapsins Young Adult |
title | Effects of SYN1 Q555X mutation on cortical gray matter microstructure |
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