Linked Social–Communication Dimensions and Connectivity in Functional Brain Networks in Autism Spectrum Disorder

Xiao, Jinming; Chen, Huafu; Shan, Xiaolong; He, Changchun; Wang, Yongdong; Guo, Xiaonan; Chen, Heng; Liao, Wei; Uddin, Lucina Q.; Duan, Xujun

doi:10.1093/cercor/bhab057

Cited by 13 publications

(7 citation statements)

References 54 publications

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“…Crucially, we find the network model generalizes out of sample, increasing confidence in the model. In line with other dimensional work in neurodiverse populations (Lake et al 2019; Rohr et al 2020; Xiao et al 2021), we observe the brain correlates identified by the model are complex and distributed across broad swaths of cortical, subcortical, and cerebellar regions. Using connectome-based identification (ID) (Finn et al 2015; Kaufmann et al 2017; Vanderwal et al 2017; Waller et al 2017; Amico and Goni 2018; Graff et al 2022; Graff et al 2022), we perform exploratory analyses testing the longitudinal stability of the network model in individual participants.…”

Section: Introductionsupporting

confidence: 89%

Section: Introductionsupporting

confidence: 89%

“…Our work adds to the growing literature suggesting it is feasible to use a dimensional approach to model individual differences in brain-behavior relationships in neurodiverse youth. In addition to autism symptoms (Lake et al 2019), groups have developed dimensional models predictive of behavioral inhibition (Rohr et al 2020), social affect (Xiao et al 2021), and adaptive functioning (Plitt et al 2015) in neurodiverse samples. In all cases, the predictive models comprise complex networks, with connections spanning the entire brain (reviewed in) (Horien et al 2022).…”

Section: Discussionmentioning

confidence: 99%

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A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth

Horien

Greene

Shen

et al. 2022

Preprint

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Difficulty with attention is an important symptom in many conditions in psychiatry, including neurodiverse conditions such as autism. There is a need to better understand the neurobiological correlates of attention and leverage these findings for individuals in healthcare settings. Nevertheless, it remains unclear if it is possible to build robust dimensional predictive models of attention in neurodiverse populations. Here, we use five datasets to identify and validate functional connectome-based markers of attention. In dataset one, we use connectome-based predictive modelling and observe successful prediction of performance on an in-scan sustained attention task in a neurodiverse sample of youth. The predictions are not driven by confounds, such as head motion. In dataset two, we find the attention network model defined in dataset one generalizes to predict in-scan attention in a separate sample of neurotypical participants performing the same attention task. In datasets three to five, we use connectome-based identification and longitudinal scans to probe the stability of the attention network across months to years in individual participants. Our results help elucidate the brain correlates of attention in neurodiverse youth and support the further development of predictive dimensional models of other clinically-relevant phenotypes.

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Section: Introductionsupporting

confidence: 89%

Section: Introductionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

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A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth

Horien

Greene

Shen

et al. 2022

Preprint

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“…A second limitation is that we chose a set of a-priori ROIs using the social brain atlas since we are interested in predicting individuals’ social abilities. Future studies could examine a different parcellation, such as whole-brain parcellations (Power et al, 2011; Craddock et al, 2012; Shen et al, 2013), given the success of whole-brain FC predictive models (Shen et al, 2017; Beaty et al, 2018; Lake et al, 2019; Xiao et al, 2021). Alternatively, future studies could use atlases developed specifically for children since the brain parcellation used in the current study was derived from adult studies or conduct hyperalignment for better functional alignment (Haxby et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

A tale of two connectivities: intra- and inter-subject functional connectivity jointly enable better prediction of social abilities

Xie

Redcay

2022

Preprint

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Naturalistic functional magnetic resonance imaging (fMRI) paradigms, such as movie viewing, are attracting increased attention, given their ability to mimic the real-world cognitive demands on attention and multimodal sensory integration. Moreover, naturalistic paradigms allow for characterizing brain network responses associated with dynamic social cognition in a model-free manner using inter-subject functional connectivity (ISFC). While intra-subject functional connectivity (FC) characterizes the individual's brain functional architecture, ISFC characterizes the neural coupling driven by time-locked extrinsic dynamic stimuli across individuals. Here, we hypothesized that ISFC and FC provide distinct and complementary information about individual differences in social cognition. To test this hypothesis, we examined a public movie-viewing fMRI dataset with 32 healthy adults and 90 typically developing children. Building three partial least squares regression (PLS) models to predict social abilities using FC and/or ISFC, we compared predictive performance to determine whether combining two connectivity measures could improve the prediction accuracy of individuals' social-cognitive abilities measured by a Theory of Mind (ToM) assessment. Our results indicated that the joint model (ISFC+FC) yielded the highest predictive accuracy and significantly predicted individuals' social cognitive abilities (rho = 0.34, p < 0.001). We also confirmed that the improved accuracy was not due to the increased feature dimensionality. In conclusion, we demonstrated that intra-/inter-subject connectivity encodes unique information about social abilities, and a joint investigation could help us gain a more complete understanding of the complex processes supporting social cognition.

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“…ASD is primarily manifested as persistent impairments in social communications (SC) and the presence of restricted, repetitive patterns of behaviors, interests, or activities. Despite heterogeneity in behavioral manifestations across sensory and other domains, impaired SC is a core feature of autism ( Pelphrey et al, 2011 ; Xiao et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Alteration of Effective Connectivity in the Default Mode Network of Autism After an Intervention

Han

Chen

et al. 2021

Front. Neurosci.

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Neuroimaging has revealed numerous atypical functional connectivity of default mode network (DMN) dedicated to social communications (SC) in autism spectrum disorder (ASD), yet their nature and directionality remain unclear. Here, preschoolers with autism received physical intervention from a 12-week mini-basketball training program (12W-MBTP). Therefore, the directionality and nature of regional interactions within the DMN after the intervention are evaluated while assessing the impact of an intervention on SC. Based on the results of independent component analysis (ICA), we applied spectral dynamic causal modeling (DCM) for participants aged 3–6 years (experimental group, N = 17, control group, N = 14) to characterize the longitudinal changes following intervention in intrinsic and extrinsic effective connectivity (EC) between core regions of the DMN. Then, we analyzed the correlation between the changes in EC and SRS-2 scores to establish symptom-based validation. We found that after the 12W-MBTP intervention, the SRS-2 score of preschoolers with ASD in the experimental group was decreased. Concurrently, the inhibitory directional connections were observed between the core regions of the DMN, including increased self-inhibition in the medial prefrontal cortex (mPFC), and the changes of EC in mPFC were significantly correlated with change in the social responsiveness scale-2 (SRS-2) score. These new findings shed light on DMN as a potential intervention target, as the inhibitory information transmission between its core regions may play a positive role in improving SC behavior in preschoolers with ASD, which may be a reliable neuroimaging biomarker for future studies.Clinical Trial Registration: This study registered with the Chinese Clinical Trial Registry (ChiCTR1900024973) on August 05, 2019.

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Linked Social–Communication Dimensions and Connectivity in Functional Brain Networks in Autism Spectrum Disorder

Cited by 13 publications

References 54 publications

A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth

A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth

A tale of two connectivities: intra- and inter-subject functional connectivity jointly enable better prediction of social abilities

Alteration of Effective Connectivity in the Default Mode Network of Autism After an Intervention

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