Literature DB >> 32945969

Quantitative susceptibility mapping shows lower brain iron content in children with autism.

Shilong Tang1, Ye Xu2, Xianfan Liu3, Zhuo Chen4, Yu Zhou5, Lisha Nie6, Ling He7.   

Abstract

OBJECTIVE: To explore the application of quantitative susceptibility mapping (QSM) of brain iron content in children with autism.
METHODS: For the control group, 40 normal children aged 2-3, 3-4, 4-5, and 5-6 years were prospectively selected from June 2018 to December 2018, with equal numbers of males and females in each age group. For the study group, 40 children with autism aged 2-3, 3-4, 4-5, and 5-6 years were prospectively selected from January 2019 to October 2019; once again, there were equal numbers of males and females in each age group. All children received routine head MRI scans and enhanced T2*-weighted angiography (ESWAN) sequence scans, and the ESWAN sequence images were processed by software to obtain magnetic susceptibility maps. The regions of interest (ROIs) of the frontal white matter, frontal gray matter, thalamus, red nucleus, substantia nigra, dentate nucleus, globus pallidus, putamen nucleus, caudate nucleus, pons, and splenium of the corpus callosum were selected, and the magnetic susceptibility values were measured. The differences in magnetic susceptibility between the two groups were compared in children at the same age.
RESULTS: For the children aged 2-3 years, the magnetic susceptibility values in the caudate nucleus, dentate nucleus, and splenium of the corpus callosum in the study group were lower than those in the control group (p < 0.05). For the children aged 3-4, 4-5, and 5-6 years, the magnetic susceptibility values in the frontal white matter, caudate nucleus, red nucleus, substantia nigra, dentate nucleus, and splenium of the corpus callosum in the study group were lower than those in the control group (p < 0.05).
CONCLUSION: The brain iron content of children with autism is lower than that of normal children. TRIAL REGISTRATION: This study protocol was registered at the Chinese clinical trial registry (registration number: ChiCTR2000029699; http://www.chictr.org.cn/searchprojen.aspx ). KEY POINTS: • In this study, the brain iron content of normal children and children with autism was compared to identify the differences, which provided a new objective basis for the early diagnosis of children with autism. • This study examined the iron content values in various brain regions of normal children aged 2-6 years in this region and established a reference range for iron content in various brain regions of normal children in one geographical area, providing a reliable and objective standard for the diagnosis and treatment of some brain diseases in children. • The results of this study indicate that the brain iron content of preschool children with autism is lower than that of normal preschool children.

Entities:  

Keywords:  Autism; Brain; Children; Iron; Magnetic resonance imaging

Mesh:

Substances:

Year:  2020        PMID: 32945969     DOI: 10.1007/s00330-020-07267-w

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  1 in total

1.  Quantitative Susceptibility Mapping of Time-Dependent Susceptibility Changes in Multiple Sclerosis Lesions.

Authors:  S Zhang; T D Nguyen; S M Hurtado Rúa; U W Kaunzner; S Pandya; I Kovanlikaya; P Spincemaille; Y Wang; S A Gauthier
Journal:  AJNR Am J Neuroradiol       Date:  2019-05-16       Impact factor: 3.825

  1 in total
  6 in total

1.  Application of Quantitative Magnetic Resonance Imaging in the Diagnosis of Autism in Children.

Authors:  Shilong Tang; Lisha Nie; Xianfan Liu; Zhuo Chen; Yu Zhou; Zhengxia Pan; Ling He
Journal:  Front Med (Lausanne)       Date:  2022-05-12

2.  Brain Iron and Mental Health Symptoms in Youth with and without Prenatal Alcohol Exposure.

Authors:  Daphne Nakhid; Carly A McMorris; Hongfu Sun; Ben Gibbard; Christina Tortorelli; Catherine Lebel
Journal:  Nutrients       Date:  2022-05-26       Impact factor: 6.706

Review 3.  Are Essential Trace Elements Effective in Modulation of Mental Disorders? Update and Perspectives.

Authors:  Mehran Shayganfard
Journal:  Biol Trace Elem Res       Date:  2021-04-27       Impact factor: 3.738

4.  Analysis of deep grey nuclei susceptibility in early childhood: a quantitative susceptibility mapping and R2* study at 3 Tesla.

Authors:  Peter Raab; Stefan Ropele; Eva Bültmann; Rolf Salcher; Heinrich Lanfermann; Mike P Wattjes
Journal:  Neuroradiology       Date:  2021-11-17       Impact factor: 2.804

5.  Quantitative susceptibility mapping shows lower brain iron content in children with attention-deficit hyperactivity disorder.

Authors:  Shilong Tang; Guanping Zhang; Qiying Ran; Lisha Nie; Xianfan Liu; Zhengxia Pan; Ling He
Journal:  Hum Brain Mapp       Date:  2022-02-02       Impact factor: 5.399

6.  R2* and quantitative susceptibility mapping in deep gray matter of 498 healthy controls from 5 to 90 years.

Authors:  Sarah Treit; Nashwan Naji; Peter Seres; Julia Rickard; Emily Stolz; Alan H Wilman; Christian Beaulieu
Journal:  Hum Brain Mapp       Date:  2021-06-29       Impact factor: 5.038

  6 in total

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