Development of Functional Connectome Gradients during Childhood and Adolescence

Xia, Yu; Xia, Mingrui; Liu, J.; Liao, Xuhong; Lei, Tianjie; Liang, Xia; Zhao, Tengda; Shi, Zhenhao; Sun, Long; Chen, X.; Men, Weiwei; Wang, Yu; Pan, Zhiying; Luo, Jie; Peng, Shaoling; Chen, M.; Lei, Hui; Tan, Shuping; Gao, Jia‐Hong; Qin, Shaozheng; Gong, Gaolang; Tao, Sha; Dong, Qi; He, Yong

doi:10.1101/2021.08.08.455594

Cited by 2 publications

References 94 publications

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Diverging asymmetry of intrinsic functional organization in autism

et al. 2023

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Autism is a neurodevelopmental condition involving atypical sensory-perceptual functions together with language and socio-cognitive deficits. Previous work has reported subtle alterations in the asymmetry of brain structure and reduced laterality of functional activation in individuals with autism relative to non-autistic individuals (NAI). However, whether functional asymmetries show altered intrinsic systematic organization in autism remains unclear. Here, we examined inter- and intra-hemispheric asymmetry of intrinsic functional gradients capturing connectome organization along three axes, stretching between sensory-default, somatomotor-visual, and default-multiple demand networks, to study system-level hemispheric imbalances in autism. We observed decreased leftward functional asymmetry of language network organization in individuals with autism, relative to NAI. Whereas language network asymmetry varied across age groups in NAI, this was not the case in autism, suggesting atypical functional laterality in autism may result from altered developmental trajectories. Finally, we observed that intra- but not inter-hemispheric features were predictive of the severity of autistic traits. Our findings illustrate how regional and patterned functional lateralization is altered in autism at the system level. Such differences may be rooted in atypical developmental trajectories of functional organization asymmetry in autism.

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Diverging asymmetry of intrinsic functional organization in autism

et al. 2023

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Morphological brain networks of white matter: mapping, evaluation, characterization and application

Yang

et al. 2023

Preprint

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Neuroimaging-based connectomics studies have long focused on the wiring patterns between gray matter regions. In recent years, increasing evidence emerges that neural activity in specific sets of white matter (WM) tracts dynamically fluctuates in a coordinated manner. However, the structural basis underlying the coordination is poorly understood largely due to the lack of approaches for estimating structural relations between WM regions. Here, we developed an approach to construct morphological WM networks based on structural magnetic resonance imaging. We found that the morphological WM networks exhibited nontrivial organizational principles, presented good to excellent short- and long-term reliability, accounted for phenotypic interindividual differences (Motor and Cognition), and were under genetic control. Interestingly, highly heritable edges contributed largely to interindividual differences in phenotype. Through integration with other multimodal and multiscale data, we further showed that the morphological WM networks were able to predict regional profiles of hamodynamic coherence, metabolic synchronization, gene co-expression and chemoarchitectonic covariance. Moreover, the prediction followed functional connectomic hierarchy of WM for hamodynamic coherence, was driven by genes enriched in the forebrain neuron development and differentiation for gene co-expression, and was attributed to serotonergic system-related receptors and transporters for chemoarchitectonic covariance. Finally, applying our approach to multiple sclerosis and neuromyelitis optica spectrum disorders, we found that both diseases were associated with morphological WM dysconnectivity, which was correlated with clinical variables and able to diagnose and differentiate the diseases. Altogether, our findings indicate that morphological WM networks provide a reliable and meaningful means to explore WM architecture in health and disease.

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Development of Functional Connectome Gradients during Childhood and Adolescence

Cited by 2 publications

References 94 publications

Diverging asymmetry of intrinsic functional organization in autism

Diverging asymmetry of intrinsic functional organization in autism

Morphological brain networks of white matter: mapping, evaluation, characterization and application

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