Cortical thickness abnormalities in autism spectrum disorder.

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Title: Cortical thickness abnormalities in autism spectrum disorder.
Authors: Shen, Liancheng, Zhang, Junqing, Fan, Shiran, Ping, Liangliang, Yu, Hao, Xu, Fangfang, Cheng, Yuqi, Xu, Xiufeng, Yang, Chunyan, Zhou, Cong
Source: European Child & Adolescent Psychiatry. Jan2024, Vol. 33 Issue 1, p65-77. 13p.
Subjects: Cerebral cortex abnormalities, Prefrontal cortex, Meta-analysis, Systematic reviews, Age distribution, Brain mapping, Cerebral cortical thinning, Magnetic resonance imaging, Autism, Research funding, Computed tomography, Cerebral cortex, Neuroradiology
Abstract: The pathological mechanism of autism spectrum disorder (ASD) remains unclear. Nowadays, surface-based morphometry (SBM) based on structural magnetic resonance imaging (sMRI) techniques have reported cortical thickness (CT) variations in ASD. However, the findings were inconsistent and heterogeneous. This current meta-analysis conducted a whole-brain vertex-wise coordinate‐based meta‐analysis (CBMA) on CT studies to explore the most noticeable and robust CT changes in ASD individuals by applying the seed-based d mapping (SDM) program. A total of 26 investigations comprised 27 datasets were included, containing 1,635 subjects with ASD and 1470 HC, along with 94 coordinates. Individuals with ASD exhibited significantly altered CT in several regions compared to HC, including four clusters with thicker CT in the right superior temporal gyrus (STG.R), the left middle temporal gyrus (MTG.L), the left anterior cingulate/paracingulate gyri, the right superior frontal gyrus (SFG.R, medial orbital parts), as well as three clusters with cortical thinning including the left parahippocampal gyrus (PHG.L), the right precentral gyrus (PCG.R) and the left middle frontal gyrus (MFG.L). Adults with ASD only demonstrated CT thinning in the right parahippocampal gyrus (PHG.R), revealed by subgroup meta-analyses. Meta-regression analyses found that CT in STG.R was positively correlated with age. Meanwhile, CT in MFG.L and PHG.L had negative correlations with the age of ASD individuals. These results suggested a complicated and atypical cortical development trajectory in ASD, and would provide a deeper understanding of the neural mechanism underlying the cortical morphology in ASD. [ABSTRACT FROM AUTHOR]
Copyright of European Child & Adolescent Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Cortical thickness abnormalities in autism spectrum disorder.
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  Data: <searchLink fieldCode="AR" term="%22Shen%2C+Liancheng%22">Shen, Liancheng</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Junqing%22">Zhang, Junqing</searchLink><br /><searchLink fieldCode="AR" term="%22Fan%2C+Shiran%22">Fan, Shiran</searchLink><br /><searchLink fieldCode="AR" term="%22Ping%2C+Liangliang%22">Ping, Liangliang</searchLink><br /><searchLink fieldCode="AR" term="%22Yu%2C+Hao%22">Yu, Hao</searchLink><br /><searchLink fieldCode="AR" term="%22Xu%2C+Fangfang%22">Xu, Fangfang</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Yuqi%22">Cheng, Yuqi</searchLink><br /><searchLink fieldCode="AR" term="%22Xu%2C+Xiufeng%22">Xu, Xiufeng</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Chunyan%22">Yang, Chunyan</searchLink><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Cong%22">Zhou, Cong</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22European+Child+%26+Adolescent+Psychiatry%22">European Child & Adolescent Psychiatry</searchLink>. Jan2024, Vol. 33 Issue 1, p65-77. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Cerebral+cortex+abnormalities%22">Cerebral cortex abnormalities</searchLink><br /><searchLink fieldCode="DE" term="%22Prefrontal+cortex%22">Prefrontal cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+mapping%22">Brain mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebral+cortical+thinning%22">Cerebral cortical thinning</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebral+cortex%22">Cerebral cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Neuroradiology%22">Neuroradiology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The pathological mechanism of autism spectrum disorder (ASD) remains unclear. Nowadays, surface-based morphometry (SBM) based on structural magnetic resonance imaging (sMRI) techniques have reported cortical thickness (CT) variations in ASD. However, the findings were inconsistent and heterogeneous. This current meta-analysis conducted a whole-brain vertex-wise coordinate‐based meta‐analysis (CBMA) on CT studies to explore the most noticeable and robust CT changes in ASD individuals by applying the seed-based d mapping (SDM) program. A total of 26 investigations comprised 27 datasets were included, containing 1,635 subjects with ASD and 1470 HC, along with 94 coordinates. Individuals with ASD exhibited significantly altered CT in several regions compared to HC, including four clusters with thicker CT in the right superior temporal gyrus (STG.R), the left middle temporal gyrus (MTG.L), the left anterior cingulate/paracingulate gyri, the right superior frontal gyrus (SFG.R, medial orbital parts), as well as three clusters with cortical thinning including the left parahippocampal gyrus (PHG.L), the right precentral gyrus (PCG.R) and the left middle frontal gyrus (MFG.L). Adults with ASD only demonstrated CT thinning in the right parahippocampal gyrus (PHG.R), revealed by subgroup meta-analyses. Meta-regression analyses found that CT in STG.R was positively correlated with age. Meanwhile, CT in MFG.L and PHG.L had negative correlations with the age of ASD individuals. These results suggested a complicated and atypical cortical development trajectory in ASD, and would provide a deeper understanding of the neural mechanism underlying the cortical morphology in ASD. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Child & Adolescent Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s00787-022-02133-0
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 65
    Subjects:
      – SubjectFull: Cerebral cortex abnormalities
        Type: general
      – SubjectFull: Prefrontal cortex
        Type: general
      – SubjectFull: Meta-analysis
        Type: general
      – SubjectFull: Systematic reviews
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      – SubjectFull: Age distribution
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      – SubjectFull: Brain mapping
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      – SubjectFull: Cerebral cortical thinning
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      – SubjectFull: Magnetic resonance imaging
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      – SubjectFull: Autism
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      – SubjectFull: Computed tomography
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      – SubjectFull: Cerebral cortex
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      – SubjectFull: Neuroradiology
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      – TitleFull: Cortical thickness abnormalities in autism spectrum disorder.
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              M: 01
              Text: Jan2024
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