The correlation between brain structure characteristics and emotion regulation ability in children at high risk of autism spectrum disorder.

As indicated by longitudinal observation, autism has difficulty controlling emotions to a certain extent in early childhood, and most children's emotional and behavioral problems are further aggravated with the growth of age. This study aimed at exploring the correlation between white matter and whi...

Descripción completa

Detalles Bibliográficos
Publicado en:European Child & Adolescent Psychiatry Vol. 33; no. 9; pp. 3247 - 3263
Autores principales: Ding, Ning, Fu, Linyan, Qian, Lu, Sun, Bei, Li, Chunyan, Gao, Huiyun, Lei, Tianyu, Ke, Xiaoyan
Formato: diagnostic images equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Sep2024
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179872995&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 179872995
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10188827
        EJ3
      jtl: European Child & Adolescent Psychiatry
      issn: 10188827
      maglogo: N
    pubinfo:
      dt: Sep2024
      vid: 33
      iid: 9
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        179872995
        175597627
        179872995
        179872995
        10.1007/s00787-024-02369-y
        179872995
      ppf: 3247
      ppct: 16
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: The correlation between brain structure characteristics and emotion regulation ability in children at high risk of autism spectrum disorder.
      aug:
        au:
          Ding, Ning
          Fu, Linyan
          Qian, Lu
          Sun, Bei
          Li, Chunyan
          Gao, Huiyun
          Lei, Tianyu
          Ke, Xiaoyan
        affil: Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, 210029, Nanjing, China
      sug:
        subj:
          Brain Anatomy and Histology
          Emotional Regulation In Infancy and Childhood
          Autism Spectrum Disorder Risk Factors
          Risk Assessment
          Child Behavior
          White Matter Pathology
          Machine Learning Methods
          Brain Radiography
          Human
          Male
          Female
          Child, Preschool
          Funding Source
          Prospective Studies
          Nonexperimental Studies
          Skull Radiography
          Comparative Studies
          Regression
          Hippocampus
          Magnetic Resonance Imaging Methods
          Infant
          Chi Square Test
          Data Analysis Software
          T-Tests
          Linear Regression
          Descriptive Statistics
          Child, Preschool: 2-5 years
          Infant: 1-23 months
          Male
          Female
      ab: As indicated by longitudinal observation, autism has difficulty controlling emotions to a certain extent in early childhood, and most children's emotional and behavioral problems are further aggravated with the growth of age. This study aimed at exploring the correlation between white matter and white matter fiber bundle connectivity characteristics and their emotional regulation ability in children with autism using machine learning methods, which can lay an empirical basis for early clinical intervention of autism. Fifty-five high risk of autism spectrum disorder (HR-ASD) children and 52 typical development (TD) children were selected to complete the skull 3D-T1 structure and diffusion tensor imaging (DTI). The emotional regulation ability of the two groups was compared using the still-face paradigm (SFP). The classification and regression models of white matter characteristics and white matter fiber bundle connections of emotion regulation ability in the HR-ASD group were built based on the machine learning method. The volume of the right amygdala (R2 = 0.245) and the volume of the right hippocampus (R2 = 0.197) affected constructive emotion regulation strategies. FA (R2 = 0.32) and MD (R2 = 0.34) had the predictive effect on self-stimulating behaviour. White matter fiber bundle connection predicted constructive regulation strategies (positive edging R2 = 0.333, negative edging R2 = 0.334) and mother-seeking behaviors (positive edging R2 = 0.667, negative edging R2 = 0.363). The emotional regulation ability of HR-ASD children is significantly correlated with the connections of multiple white matter fiber bundles, which is a potential neuro-biomarker of emotional regulation ability.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N