Common and unique multimodal covarying patterns in autism spectrum disorder subtypes

Abstract 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. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shile Qi [verfasserIn] Robin Morris [verfasserIn] Jessica A. Turner [verfasserIn] Zening Fu [verfasserIn] Rongtao Jiang [verfasserIn] Thomas P. Deramus [verfasserIn] Dongmei Zhi [verfasserIn] Vince D. Calhoun [verfasserIn] Jing Sui [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion

Übergeordnetes Werk:	In: Molecular Autism - BMC, 2010, 11(2020), 1, Seite 15
Übergeordnetes Werk:	volume:11 ; year:2020 ; number:1 ; pages:15

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s13229-020-00397-4

Katalog-ID:	DOAJ007137540

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520			\|a Abstract 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.
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allfields	10.1186/s13229-020-00397-4 doi (DE-627)DOAJ007137540 (DE-599)DOAJc33f86e67ef44feb9c8b7702827860a8 DE-627 ger DE-627 rakwb eng RC346-429 Shile Qi verfasserin aut Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion Neurology. Diseases of the nervous system Robin Morris verfasserin aut Jessica A. Turner verfasserin aut Zening Fu verfasserin aut Rongtao Jiang verfasserin aut Thomas P. Deramus verfasserin aut Dongmei Zhi verfasserin aut Vince D. Calhoun verfasserin aut Jing Sui verfasserin aut In Molecular Autism BMC, 2010 11(2020), 1, Seite 15 (DE-627)620141522 (DE-600)2540930-X 20402392 nnns volume:11 year:2020 number:1 pages:15 https://doi.org/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/article/c33f86e67ef44feb9c8b7702827860a8 kostenfrei http://link.springer.com/article/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/toc/2040-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020 1 15
spelling	10.1186/s13229-020-00397-4 doi (DE-627)DOAJ007137540 (DE-599)DOAJc33f86e67ef44feb9c8b7702827860a8 DE-627 ger DE-627 rakwb eng RC346-429 Shile Qi verfasserin aut Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion Neurology. Diseases of the nervous system Robin Morris verfasserin aut Jessica A. Turner verfasserin aut Zening Fu verfasserin aut Rongtao Jiang verfasserin aut Thomas P. Deramus verfasserin aut Dongmei Zhi verfasserin aut Vince D. Calhoun verfasserin aut Jing Sui verfasserin aut In Molecular Autism BMC, 2010 11(2020), 1, Seite 15 (DE-627)620141522 (DE-600)2540930-X 20402392 nnns volume:11 year:2020 number:1 pages:15 https://doi.org/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/article/c33f86e67ef44feb9c8b7702827860a8 kostenfrei http://link.springer.com/article/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/toc/2040-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020 1 15
allfields_unstemmed	10.1186/s13229-020-00397-4 doi (DE-627)DOAJ007137540 (DE-599)DOAJc33f86e67ef44feb9c8b7702827860a8 DE-627 ger DE-627 rakwb eng RC346-429 Shile Qi verfasserin aut Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion Neurology. Diseases of the nervous system Robin Morris verfasserin aut Jessica A. Turner verfasserin aut Zening Fu verfasserin aut Rongtao Jiang verfasserin aut Thomas P. Deramus verfasserin aut Dongmei Zhi verfasserin aut Vince D. Calhoun verfasserin aut Jing Sui verfasserin aut In Molecular Autism BMC, 2010 11(2020), 1, Seite 15 (DE-627)620141522 (DE-600)2540930-X 20402392 nnns volume:11 year:2020 number:1 pages:15 https://doi.org/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/article/c33f86e67ef44feb9c8b7702827860a8 kostenfrei http://link.springer.com/article/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/toc/2040-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020 1 15
allfieldsGer	10.1186/s13229-020-00397-4 doi (DE-627)DOAJ007137540 (DE-599)DOAJc33f86e67ef44feb9c8b7702827860a8 DE-627 ger DE-627 rakwb eng RC346-429 Shile Qi verfasserin aut Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion Neurology. Diseases of the nervous system Robin Morris verfasserin aut Jessica A. Turner verfasserin aut Zening Fu verfasserin aut Rongtao Jiang verfasserin aut Thomas P. Deramus verfasserin aut Dongmei Zhi verfasserin aut Vince D. Calhoun verfasserin aut Jing Sui verfasserin aut In Molecular Autism BMC, 2010 11(2020), 1, Seite 15 (DE-627)620141522 (DE-600)2540930-X 20402392 nnns volume:11 year:2020 number:1 pages:15 https://doi.org/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/article/c33f86e67ef44feb9c8b7702827860a8 kostenfrei http://link.springer.com/article/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/toc/2040-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020 1 15
allfieldsSound	10.1186/s13229-020-00397-4 doi (DE-627)DOAJ007137540 (DE-599)DOAJc33f86e67ef44feb9c8b7702827860a8 DE-627 ger DE-627 rakwb eng RC346-429 Shile Qi verfasserin aut Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion Neurology. Diseases of the nervous system Robin Morris verfasserin aut Jessica A. Turner verfasserin aut Zening Fu verfasserin aut Rongtao Jiang verfasserin aut Thomas P. Deramus verfasserin aut Dongmei Zhi verfasserin aut Vince D. Calhoun verfasserin aut Jing Sui verfasserin aut In Molecular Autism BMC, 2010 11(2020), 1, Seite 15 (DE-627)620141522 (DE-600)2540930-X 20402392 nnns volume:11 year:2020 number:1 pages:15 https://doi.org/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/article/c33f86e67ef44feb9c8b7702827860a8 kostenfrei http://link.springer.com/article/10.1186/s13229-020-00397-4 kostenfrei https://doaj.org/toc/2040-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020 1 15
language	English
source	In Molecular Autism 11(2020), 1, Seite 15 volume:11 year:2020 number:1 pages:15
sourceStr	In Molecular Autism 11(2020), 1, Seite 15 volume:11 year:2020 number:1 pages:15
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion Neurology. Diseases of the nervous system
isfreeaccess_bool	true
container_title	Molecular Autism
authorswithroles_txt_mv	Shile Qi @@aut@@ Robin Morris @@aut@@ Jessica A. Turner @@aut@@ Zening Fu @@aut@@ Rongtao Jiang @@aut@@ Thomas P. Deramus @@aut@@ Dongmei Zhi @@aut@@ Vince D. Calhoun @@aut@@ Jing Sui @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	620141522
id	DOAJ007137540
language_de	englisch
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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. 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callnumber-first	R - Medicine
author	Shile Qi
spellingShingle	Shile Qi misc RC346-429 misc Heterogeneity misc Autism spectrum disorder misc Asperger’s disorder misc Pervasive developmental disorder-not otherwise specified (PDD-NOS) misc Autistic disorder misc Multimodal fusion misc Neurology. Diseases of the nervous system Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
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topic_title	RC346-429 Common and unique multimodal covarying patterns in autism spectrum disorder subtypes Heterogeneity Autism spectrum disorder Asperger’s disorder Pervasive developmental disorder-not otherwise specified (PDD-NOS) Autistic disorder Multimodal fusion
topic	misc RC346-429 misc Heterogeneity misc Autism spectrum disorder misc Asperger’s disorder misc Pervasive developmental disorder-not otherwise specified (PDD-NOS) misc Autistic disorder misc Multimodal fusion misc Neurology. Diseases of the nervous system
topic_unstemmed	misc RC346-429 misc Heterogeneity misc Autism spectrum disorder misc Asperger’s disorder misc Pervasive developmental disorder-not otherwise specified (PDD-NOS) misc Autistic disorder misc Multimodal fusion misc Neurology. Diseases of the nervous system
topic_browse	misc RC346-429 misc Heterogeneity misc Autism spectrum disorder misc Asperger’s disorder misc Pervasive developmental disorder-not otherwise specified (PDD-NOS) misc Autistic disorder misc Multimodal fusion misc Neurology. Diseases of the nervous system
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title	Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
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title_full	Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
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author_browse	Shile Qi Robin Morris Jessica A. Turner Zening Fu Rongtao Jiang Thomas P. Deramus Dongmei Zhi Vince D. Calhoun Jing Sui
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title_sort	common and unique multimodal covarying patterns in autism spectrum disorder subtypes
callnumber	RC346-429
title_auth	Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
abstract	Abstract 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.
abstractGer	Abstract 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.
abstract_unstemmed	Abstract 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.
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title_short	Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
url	https://doi.org/10.1186/s13229-020-00397-4 https://doaj.org/article/c33f86e67ef44feb9c8b7702827860a8 http://link.springer.com/article/10.1186/s13229-020-00397-4 https://doaj.org/toc/2040-2392
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