Systemic heterogeneity in autism spectrum disorder revealed by individualized structural covariance network analysis

IF 5.3 2区 医学 Q1 CLINICAL NEUROLOGY Progress in Neuro-Psychopharmacology & Biological Psychiatry Pub Date : 2025-01-10 DOI:10.1016/j.pnpbp.2024.111224
Qiuyue Zhang , Xi Yang , Jianfeng Qiu , Weizhao Lu
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Abstract

Background and purpose

Autism spectrum disorder (ASD) is clinically heterogeneous, and resent neuroimaging studies have shown the presence of brain structural heterogeneity in ASD. However, there is currently a lack of evidence for systemic level brain structural heterogeneity. This study aimed to reveal the heterogeneity of brain structural changes at the systemic level in ASD patients through individual differential structural covariance network (IDSCN) analysis.

Materials and methods

We included 803 neurotypical controls (NCs) and 650 ASD patients from 24 sites and the corresponding structural magnetic resonance and clinical data. 516 ASD patients were used as training group, and 134 ASD patients were selected as an independent validation group. In the training group, we constructed IDSCN for each ASD patient, identified differentiated structural covariance edges, and resolved systemic heterogeneity using K-means clustering algorithm. We then conducted statistical analyses on the demographical and clinical data of the ASD subgroups, and performed correlation analyses between structural covariance edges and clinical profiles within each ASD subgroup. We also tested the reliability of the IDSCN in the validation group.

Results

The results of the training and validation groups were similar, revealing two subtypes of ASD, with 17 brain connections showing differences between the two subtypes. There were differences in clinical profiles between the two subgroups in restricted repetitive behavior score from autism diagnostic interview-revised (ADI_RRB_TOTAL), total score of autism diagnostic observation schedule (ADOS), social interaction score from ADOS and stereotyped behaviors score from ADOS. In both datasets, we also found a significant correlation between ADI_RRB_TOTAL scale and the Z-score for edges between the bilateral ventral tegmental area (VTA) and between the left VTA and right substantia nigra pars compacta.

Conclusion

ASD exhibited brain structural heterogeneity at the systemic level, mainly involving nucleus in the subcortical regions and brainstem, which can affect RRB in ASD patients. The two subtypes discovered in this study have the potential to be applied in precise diagnosis and treatment of the disorder.
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个体化结构协方差网络分析揭示自闭症谱系障碍的系统异质性。
背景与目的:自闭症谱系障碍(Autism spectrum disorder, ASD)具有临床异质性,近期神经影像学研究显示ASD患者存在脑结构异质性。然而,目前缺乏系统性水平脑结构异质性的证据。本研究旨在通过个体差异结构协方差网络(IDSCN)分析,揭示ASD患者脑结构变化在系统水平上的异质性。材料和方法:我们纳入了来自24个部位的803例神经正常对照(nc)和650例ASD患者,并收集了相应的结构磁共振和临床资料。516例ASD患者作为训练组,134例ASD患者作为独立验证组。在训练组中,我们为每个ASD患者构建了IDSCN,识别了差异化的结构协方差边缘,并使用K-means聚类算法解决了系统异质性。然后,我们对ASD亚组的人口学和临床资料进行统计分析,并对每个ASD亚组的结构协方差边缘与临床资料进行相关性分析。我们还在验证组中测试了IDSCN的可靠性。结果:训练组和验证组的结果相似,揭示了ASD的两种亚型,17个脑连接显示了两种亚型之间的差异。两亚组在自闭症诊断访谈修正版限制性重复行为评分(ADI_RRB_TOTAL)、自闭症诊断观察量表总分(ADOS)、社交互动评分(ADOS)和刻板印象行为评分(ADOS)的临床特征上存在差异。在这两个数据集中,我们还发现ADI_RRB_TOTAL量表与双侧腹侧被盖区(VTA)之间以及左侧VTA与右侧致密黑质之间边缘的Z-score之间存在显著相关性。结论:ASD在系统水平上表现出大脑结构的异质性,主要累及皮质下核和脑干,这可能影响ASD患者的RRB。本研究中发现的两种亚型有可能应用于该疾病的精确诊断和治疗。
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来源期刊
CiteScore
12.00
自引率
1.80%
发文量
153
审稿时长
56 days
期刊介绍: Progress in Neuro-Psychopharmacology & Biological Psychiatry is an international and multidisciplinary journal which aims to ensure the rapid publication of authoritative reviews and research papers dealing with experimental and clinical aspects of neuro-psychopharmacology and biological psychiatry. Issues of the journal are regularly devoted wholly in or in part to a topical subject. Progress in Neuro-Psychopharmacology & Biological Psychiatry does not publish work on the actions of biological extracts unless the pharmacological active molecular substrate and/or specific receptor binding properties of the extract compounds are elucidated.
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