Research Progress on Potential Neuroimaging Biomarkers Associated with Language Impairments in ASD Patients Across the Life Stages
10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2025.0405
- VernacularTitle:全生命周期ASD患者语言障碍相关潜在神经影像学标志物的研究进展
- Author:
Ya TAN
1
;
Meng JIANG
Author Information
1. 四川外国语大学英语学院,重庆 400031
- Publication Type:Journal Article
- Keywords:
life stagse;
autism spectrum disorder patients;
language impairments;
neuroimaging techniques;
potential neuroimaging biomarkers
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2025;46(4):583-597
- CountryChina
- Language:Chinese
-
Abstract:
Autism spectrum disorder(ASD)is a neurodevelopmental disorder characterized by early onset,high prev-alence,and typically lifelong impact.A significant body of empirical research has focused on language impairments,a hall-mark feature of ASD,aiming to identify its potential neuroimaging biomarkers via neuroimaging techniques.This paper systematically reviews international neuroimaging studies on language impairments in ASD over the past 15 years from a life stage perspective.It explores research progress on four potential neuroimaging biomarkers—structure/structural connectivity,function/functional connectivity,neural oscillations,and electroencephalogram(EEG)/magnetoencephalography(MEG)components—related to syllable perception,phonetic perception,lexical comprehension,sentence comprehension,discourse comprehension,lexical production,and overall language abilities in ASD patients across different life stages,including infancy,childhood,adolescence,middle age,and old age.By analyzing these biomarkers in detail across vari-ous age groups,the review not only provides a comprehensive theoretical framework and the latest trends from a neuroimag-ing perspective,deepening the understanding of the neural mechanisms underlying language impairments in ASD,but also offers a scientific basis for developing personalized intervention and treatment strategies.Furthermore,the integration of these neuroimaging biomarkers across different age stages with artificial intelligence technology holds promise for age-spe-cific screening,diagnosis,and prognostic evaluation,thereby improving the accuracy of diagnosis and prognosis.In sum-mary,this review provides valuable input for advancing research on ASD and its application in clinical practice.
