Subcortical structural covariance in young children with autism spectrum disorder

Duan, Xujun; Wang, Runshi; Xiao, Jinming; Wang, Yongdong; Huang, Xiaoping; Guo, Xiaonan; Cao, Jing; He, Liyao; He, Changchun; Ling, Zihan; Shan, Xiaolong; Chen, Heng; Kang, Xiaodong; Chen, Huafu

doi:10.1016/j.pnpbp.2020.109874

Cited by 27 publications

(24 citation statements)

References 66 publications

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“…Structural and/or functional defects including brain volume or connectivity increase or decrease have been reported in ASD subjects. Volume increases in Amy, Cd, HIP, S, and Str (Fu et al, 2020;Li et al, 2019), whereas a volume decreases in NAc and GPe (Duan et al, 2020) were characterized. Finally, functional changes including hyperactivation in ACC, Ins, LOTC, and Pu (Kishida et al, 2019), whereas hypoactivation in IFG, HIP, and OL brain regions (Delmonte et al, 2012;Dichter, Richey, et al, 2012;Kohls et al, 2013Kohls et al, , 2014.…”

Section: Sys Temi C and Centr Al Pro -Infl Ammatory Profile S Reg Umentioning

confidence: 94%

“…In fact, a longitudinal study showed enlargement in the Amy and CA1-3 of HIP by 6 months of age and in subiculum by 24 months of age in people with ASD(Fu et al, 2020;Li et al, 2019). Conversely,Duan et al (2020) reported a significant volume decrease in bilateral mesocorticolimbic circuit-related regions such as NAc and globus pallidus in ASD compared with controls (Duan et al, 2020). In addition, structural analysis using the diffusion tensor imaging technology to assess in vivo microstructure of white matter tracts in the brain(Tohyama, Walker, Sammartino, Krishna, & Hodaie, 2020) reported alterations in the fractional anisotropy, a measurement of axon directionality.…”

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confidence: 99%

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Potential role of primed microglia during obesity on the mesocorticolimbic circuit in autism spectrum disorder

Trujillo-Villarreal

Cárdenas-Tueme²,

Maldonado-Ruiz

et al. 2020

Journal of Neurochemistry

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Section: Sys Temi C and Centr Al Pro -Infl Ammatory Profile S Reg Umentioning

confidence: 94%

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confidence: 99%

Potential role of primed microglia during obesity on the mesocorticolimbic circuit in autism spectrum disorder

Trujillo-Villarreal

Cárdenas-Tueme²,

Maldonado-Ruiz

et al. 2020

Journal of Neurochemistry

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“…Reduced local and increased long-ranged functional connectivity of thalamus (Tomasi & Volkow, 2019) , insula (Guo et al, 2019) and amygdala (Guo et al, 2016) has also been identified. Moreover, decreased inter-hemispheric and enhanced intrahemispheric structural covariation has been shown in recent studies (Duan et al, 2020). One structural covariance study of sensory networks demonstrated decreased structural covariation between sensory-related cortical structures, specially between the left and right cerebral hemispheres, but increased structural covariance of the structure in the right cerebral hemisphere in individuals with ASD (Cardon, Hepburn, & Rojas, 2017).…”

Section: Introductionmentioning

confidence: 88%

Brain Structural Covariance Network in Asperger Syndrome Differs From Those in Autism Spectrum Disorder and Healthy Controls

Faridi¹,

Seyedebrahimi²,

Khosrowabadi³

2022

BCN

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Autism is a heterogeneous neurodevelopmental disorder associated with social, cognitive and behavioral impairments. These impairments are often reported along with alteration of the brain structure such as abnormal changes in the grey matter (GM) density. However, it is not yet clear whether these changes could be used to differentiate various subtypes of autism spectrum disorder (ASD). In this study, we compared the regional changes of GM density in ASD, Asperger's Syndrome (AS) individuals and a group of healthy controls (HC). In addition to regional changes itself, the amount of GM density changes in one region as compared to other brain regions was also calculated. We hypothesized that this structural covariance network could differentiate the AS individuals from the ASD and HC groups. Therefore, statistical analysis was performed on the MRI data of 70 male subjects including 26 ASD (age= 14-50, IQ= 92-132), 16 AS (age=7-58, IQ=93-133) and 28 HC (age=9-39, IQ=95-144). Results of one-way ANOVA on the GM density of 116 anatomically separated regions showed significant differences among the groups. The pattern of structural covariance network indicated that covariation of GM density between the brain regions is decreased in ASD. This attenuated structural differentiation could be considered as a reason for less efficient segregation and integration of information in the brain that could lead to cognitive dysfunctions in autism. We hope these findings could improve our understanding about the pathobiology of autism and may pave the way towards a more effective intervention paradigm.

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“…Given that morphological measures, especially gray matter volume, have specific neurological and genetic bases, MBNs reflect the level of synchronous maturation between anatomical regions during brain development (Alexander‐Bloch, Giedd, & Bullmore, 2013). Converging evidence suggests that group‐level MBNs using structural covariance exhibit specific network patterns (Duan et al, 2020; Lim, Jung, & Aizenstein, 2013; Yun et al, 2020; Zou, She, Zhan, Gao, & Chen, 2018). Duan et al (2020) reported a decrease in long‐range structural covariance and an increase in structural covariance in subcortical structures in ASD, suggesting the crucial role of aberrant synchronized maturation between subcortical regions in social cognition and behavior in ASD.…”

Section: Introductionmentioning

confidence: 99%

“…Converging evidence suggests that group‐level MBNs using structural covariance exhibit specific network patterns (Duan et al, 2020; Lim, Jung, & Aizenstein, 2013; Yun et al, 2020; Zou, She, Zhan, Gao, & Chen, 2018). Duan et al (2020) reported a decrease in long‐range structural covariance and an increase in structural covariance in subcortical structures in ASD, suggesting the crucial role of aberrant synchronized maturation between subcortical regions in social cognition and behavior in ASD. Nevertheless, only one MBN was created for a specific group of participants, thereby ignoring interindividual differences (Saggar et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Individual‐based morphological brain network organization and its association with autistic symptoms in young children with autism spectrum disorder

Cortés

Kang

et al. 2021

Human Brain Mapping

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Individual‐based morphological brain networks built from T1‐weighted magnetic resonance imaging (MRI) reflect synchronous maturation intensities between anatomical regions at the individual level. Autism spectrum disorder (ASD) is a socio‐cognitive and neurodevelopmental disorder with high neuroanatomical heterogeneity, but the specific patterns of morphological networks in ASD remain largely unexplored at the individual level. In this study, individual‐based morphological networks were constructed by using high‐resolution structural MRI data from 40 young children with ASD (age range: 2–8 years) and 38 age‐, gender‐, and handedness‐matched typically developing children (TDC). Measurements were recorded as threefold. Results showed that compared with TDC, young children with ASD exhibited lower values of small‐worldness (i.e., σ) of individual‐level morphological brain networks, increased morphological connectivity in cortico‐striatum‐thalamic‐cortical (CSTC) circuitry, and decreased morphological connectivity in the cortico‐cortical network. In addition, morphological connectivity abnormalities can predict the severity of social communication deficits in young children with ASD, thus confirming an associational impact at the behavioral level. These findings suggest that the morphological brain network in the autistic developmental brain is inefficient in segregating and distributing information. The results also highlight the crucial role of abnormal morphological connectivity patterns in the socio‐cognitive deficits of ASD and support the possible use of the aberrant developmental patterns of morphological brain networks in revealing new clinically‐relevant biomarkers for ASD.

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Subcortical structural covariance in young children with autism spectrum disorder

Cited by 27 publications

References 66 publications

Potential role of primed microglia during obesity on the mesocorticolimbic circuit in autism spectrum disorder

Potential role of primed microglia during obesity on the mesocorticolimbic circuit in autism spectrum disorder

Brain Structural Covariance Network in Asperger Syndrome Differs From Those in Autism Spectrum Disorder and Healthy Controls

Individual‐based morphological brain network organization and its association with autistic symptoms in young children with autism spectrum disorder

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