Cortical thickness abnormalities in autism spectrum disorder.

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....

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Publicado en:European Child & Adolescent Psychiatry Vol. 33; no. 1; pp. 65 - 78
Autores principales: Shen, Liancheng, Zhang, Junqing, Fan, Shiran, Ping, Liangliang, Yu, Hao, Xu, Fangfang, Cheng, Yuqi, Xu, Xiufeng, Yang, Chunyan, Zhou, Cong
Formato: diagnostic images meta analysis research systematic review tables/charts Journal Article
Publicado: Springer Nature Jan2024
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00787-022-02133-0
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        atl: Cortical thickness abnormalities in autism spectrum disorder.
      aug:
        au:
          Shen, Liancheng
          Zhang, Junqing
          Fan, Shiran
          Ping, Liangliang
          Yu, Hao
          Xu, Fangfang
          Cheng, Yuqi
          Xu, Xiufeng
          Yang, Chunyan
          Zhou, Cong
        affil: Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
      sug:
        subj:
          Autism Spectrum Disorder Pathology
          Cerebral Cortex Abnormalities
          Cerebral Cortex Radiography
          Tomography, X-Ray Computed
          Brain Mapping
          Human
          Systematic Review
          Meta Analysis
          Funding Source
          Prefrontal Cortex Abnormalities
          Cerebral Cortical Thinning
          Adult
          Age Factors
          Magnetic Resonance Imaging
          Neuroradiography
          Adult: 19-44 years
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        meta analysis
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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