Relationship between abnormal intrinsic functional connectivity of subcortices and autism symptoms in high-functioning adults with autism spectrum disorder

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging Pub Date : 2023-11-23 DOI:10.1016/j.pscychresns.2023.111762

Jing Shang , Erwei Shen , Yang Yu , Aiying Jin , Xuemei Wang , Dehui Xiang

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引用次数: 0

Abstract

Purpose

This study explores subcortices and their intrinsic functional connectivity (iFC) in autism spectrum disorder (ASD) adults and investigates their relationship with clinical severity.

Methods

Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 74 ASD patients, and 63 gender and age-matched typically developing (TD) adults. Independent component analysis (ICA) was conducted to evaluate subcortical patterns of basal ganglia (BG) and thalamus. These two brain areas were treated as regions of interest to further calculate whole-brain FC. In addition, we employed multivariate machine learning to identify subcortices-based FC brain patterns and clinical scores to classify ASD adults from those TD subjects.

Results

In ASD individuals, autism diagnostic observation schedule (ADOS) was negatively correlated with the BG network. Similarly, social responsiveness scale (SRS) was negatively correlated with the thalamus network. The BG-based iFC analysis revealed adults with ASD versus TD had lower FC, and its FC with the right medial temporal lobe (MTL), was positively correlated with SRS and ADOS separately. ASD could be predicted with a balanced accuracy of around 60.0 % using brain patterns and 84.7 % using clinical variables.

Conclusion

Our results revealed the abnormal subcortical iFC may be related to autism symptoms.

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高功能成人自闭症谱系障碍下皮层内禀功能连接异常与自闭症症状的关系

目的探讨成人自闭症谱系障碍(ASD)的下皮质及其内在功能连通性(iFC)及其与临床严重程度的关系。方法静息状态功能磁共振成像(rs-fMRI)数据来自74名ASD患者和63名性别和年龄匹配的典型发育(TD)成年人。采用独立分量分析(ICA)评价基底神经节(BG)和丘脑皮质下模式。这两个脑区被视为感兴趣的区域，以进一步计算全脑FC。此外，我们采用多变量机器学习来识别基于皮层下的FC脑模式和临床评分，以区分自闭症成人和TD受试者。结果在ASD个体中，自闭症诊断观察时间表(ADOS)与BG网络呈负相关。同样，社会反应量表(SRS)与丘脑网络呈负相关。基于bg的iFC分析显示，ASD与TD的成人FC较低，其与右侧内侧颞叶(MTL)的FC分别与SRS和ADOS呈正相关。使用大脑模式预测ASD的平衡准确率约为60.0%，使用临床变量预测ASD的平衡准确率约为84.7%。结论皮质下iFC异常可能与自闭症症状有关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Psychiatry Research: Neuroimaging 医学-精神病学

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

22.5 weeks

期刊介绍： The Neuroimaging section of Psychiatry Research publishes manuscripts on positron emission tomography, magnetic resonance imaging, computerized electroencephalographic topography, regional cerebral blood flow, computed tomography, magnetoencephalography, autoradiography, post-mortem regional analyses, and other imaging techniques. Reports concerning results in psychiatric disorders, dementias, and the effects of behaviorial tasks and pharmacological treatments are featured. We also invite manuscripts on the methods of obtaining images and computer processing of the images themselves. Selected case reports are also published.