Qiuyue Zhang , Xi Yang , Jianfeng Qiu , Weizhao Lu
{"title":"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。","authors":"Qiuyue Zhang , Xi Yang , Jianfeng Qiu , Weizhao Lu","doi":"10.1016/j.pnpbp.2024.111224","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and purpose</h3><div>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.</div></div><div><h3>Materials and methods</h3><div>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.</div></div><div><h3>Results</h3><div>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 <em>Z</em>-score for edges between the bilateral ventral tegmental area (VTA) and between the left VTA and right substantia nigra pars compacta.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"136 ","pages":"Article 111224"},"PeriodicalIF":5.3000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systemic heterogeneity in autism spectrum disorder revealed by individualized structural covariance network analysis\",\"authors\":\"Qiuyue Zhang , Xi Yang , Jianfeng Qiu , Weizhao Lu\",\"doi\":\"10.1016/j.pnpbp.2024.111224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and purpose</h3><div>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.</div></div><div><h3>Materials and methods</h3><div>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.</div></div><div><h3>Results</h3><div>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 <em>Z</em>-score for edges between the bilateral ventral tegmental area (VTA) and between the left VTA and right substantia nigra pars compacta.</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":54549,\"journal\":{\"name\":\"Progress in Neuro-Psychopharmacology & Biological Psychiatry\",\"volume\":\"136 \",\"pages\":\"Article 111224\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Neuro-Psychopharmacology & Biological Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0278584624002926\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278584624002926","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Systemic heterogeneity in autism spectrum disorder revealed by individualized structural covariance network analysis
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.
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.