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Common and unique multimodal covarying patterns in autism spectrum disorder subtypes

文献类型：期刊论文

作者Qi, Shile7; Morris, Robin2,3; Turner, Jessica A.2,3; Fu, Zening7; Jiang, Rongtao1,5,6; Deramus, Thomas P.7; Zhi, Dongmei1,5,6; Calhoun, Vince D.7; Sui, Jing1,4,5,6,7
刊名MOLECULAR AUTISM
出版日期2020-12-18
卷号11期号:1页码:15
ISSN号2040-2392
关键词Heterogeneity Autism spectrum disorder Asperger’ s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion
DOI10.1186/s13229-020-00397-4
通讯作者Calhoun, Vince D.(vcalhoun@gsu.edu) ; Sui, Jing(jing.sui@nlpr.ia.ac.cn)
英文摘要Background The heterogeneity inherent in autism spectrum disorder (ASD) presents a substantial challenge to diagnosis and precision treatment. Heterogeneity across biological etiologies, genetics, neural systems, neurocognitive attributes and clinical subtypes or phenotypes has been observed across individuals with ASD. Methods In this study, we aim to investigate the heterogeneity in ASD from a multimodal brain imaging perspective. The Autism Diagnostic Observation Schedule (ADOS) was used as a reference to guide functional and structural MRI fusion. DSM-IV-TR diagnosed Asperger's disorder (n = 79), pervasive developmental disorder-not otherwise specified [PDD-NOS] (n = 58) and Autistic disorder (n = 92) from ABIDE II were used as discovery cohort, and ABIDE I (n = 400) was used for replication. Results Dorsolateral prefrontal cortex and superior/middle temporal cortex are the primary common functional-structural covarying cortical brain areas shared among Asperger's, PDD-NOS and Autistic subgroups. Key differences among the three subtypes are negative functional features within subcortical brain areas, including negative putamen-parahippocampus fractional amplitude of low-frequency fluctuations (fALFF) unique to the Asperger's subtype; negative fALFF in anterior cingulate cortex unique to PDD-NOS subtype; and negative thalamus-amygdala-caudate fALFF unique to the Autistic subtype. Furthermore, each subtype-specific brain pattern is correlated with different ADOS subdomains, with social interaction as the common subdomain. The identified subtype-specific patterns are only predictive for ASD symptoms manifested in the corresponding subtypes, but not the other subtypes. Conclusions Although ASD has a common neural basis with core deficits linked to social interaction, each ASD subtype is strongly linked to unique brain systems and subdomain symptoms, which may help to better understand the underlying mechanisms of ASD heterogeneity from a multimodal neuroimaging perspective. Limitations This study is male based, which cannot be generalized to the female or the general ASD population.
WOS关键词HETEROGENEITY ; DEFICITS ; BRAIN ; NEUROMARKERS ; CONNECTIVITY
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDBS32040100] ; China Natural Science Foundation[61773380] ; Beijing Municipal Science and Technology Commission[Z181100001518005] ; National Institute of Health[1R01MH117107] ; National Institute of Health[R01EB020407] ; National Institute of Health[1R01EB005846] ; National Institute of Health[1R01MH094524] ; National Institute of Health[P20GM103472] ; National Institute of Health[P30GM122734] ; National Science Foundation[1539067]
WOS研究方向Genetics & Heredity ; Neurosciences & Neurology
语种英语
出版者BMC
WOS记录号WOS:000595126200001
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; China Natural Science Foundation ; Beijing Municipal Science and Technology Commission ; National Institute of Health ; National Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/41683]  
专题自动化研究所_脑网络组研究中心
通讯作者Calhoun, Vince D.; Sui, Jing
作者单位1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
2.Georgia State Univ, Neurosci Inst, Atlanta, GA 30302 USA
3.Georgia State Univ, Dept Psychol, Atlanta, GA 30302 USA
4.Chinese Acad Sci, Ctr Excellence Brain Sci, Inst Automat, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
7.Emory Univ, Georgia Inst Technol, Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30303 USA
推荐引用方式
GB/T 7714		 Qi, Shile,Morris, Robin,Turner, Jessica A.,et al. Common and unique multimodal covarying patterns in autism spectrum disorder subtypes[J]. MOLECULAR AUTISM,2020,11(1):15.
APA Qi, Shile.,Morris, Robin.,Turner, Jessica A..,Fu, Zening.,Jiang, Rongtao.,...&Sui, Jing.(2020).Common and unique multimodal covarying patterns in autism spectrum disorder subtypes.MOLECULAR AUTISM,11(1),15.
MLA Qi, Shile,et al."Common and unique multimodal covarying patterns in autism spectrum disorder subtypes".MOLECULAR AUTISM 11.1(2020):15.

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