Left Parietal Functional Connectivity Mediates the Association Between COMT rs4633 and Verbal Intelligence in Healthy Adults

Xu, Qiang; Fu, Junfen; Liu, Feng; Qin, Wen; Liu, Bing; Jiang, Tianzi; Yu, Chunshui

doi:10.3389/fnins.2018.00233

Cited by 3 publications

(2 citation statements)

References 39 publications

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“…The role of ZFPM2 has been associated with the whitematter pathways and processing speed (Giddaluru et al 2016). Functional connectivity of the left parietal cortex is known to mediate the association between COMT rs4633 and verbal intelligence (Xu et al 2018). Inter-regional genetic influences on cortical morphologies may underscore the inter-individual differences in structural and functional connectivity.…”

Section: Discussionmentioning

confidence: 99%

Network organization of co-opetitive genetic influences on morphologies of the human cerebral cortex

2019

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Brain can be represented as a network, where regions are the nodes and relations between the regions are edges. Within a network, co-existence of cooperative and competitive relationships between different nodes is called coopetition. Inter-regional genetic influences on morphological phenotypes (cortical thickness, surface area) of cortex display such coopetitive relationships. Here, we have represented these genetic influences as a network and shown that cooperative and competitive genetic influences on cortical morphological phenotypes follow distinct organization principles. Utilizing the theory of structural balance, we have shown that the pattern of collective regulation of cortical morphological phenotypes by cooperative and competitive genetic influences are overall bilaterally symmetric and such patterns of collective genetic regulation are similar to the principal modes of population variation of cortical morphological phenotypes. Finally, we have observed that the maximally and minimally imbalanced regions corresponding to the collective genetic regulation partially overlap with the cortical structural network hubs.

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Section: Discussionmentioning

confidence: 99%

Network organization of co-opetitive genetic influences on morphologies of the human cerebral cortex

2019

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“…One promising direction for exploring genetic associations is to investigate brain imaging phenotypes in relation to transcriptional profiles ( Romme et al, 2017 , Roshchupkin et al, 2016 , Ortiz-Terán et al, 2017 , Xu et al, 2018 ). Romme et al ( Romme et al, 2017 ) examined the role of genes in brain connectivity among schizophrenia patients and found that regional dysconnectivity was significantly correlated with the expression profile of schizophrenia risk genes across cortical regions, particularly those related to neuronal calcium signaling.…”

Section: Introductionmentioning

confidence: 99%

Cortical anatomical variations, gene expression profiles, and clinical phenotypes in patients with schizophrenia

Han

Yang

Zhou

et al. 2023

NeuroImage: Clinical

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Altered voxel-wise gray matter structural brain networks in schizophrenia: Association with brain genetic expression pattern

Liu

Tian

et al. 2018

Brain Imaging and Behavior

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Previous seed- and atlas-based structural covariance/connectivity analyses have demonstrated that patients with schizophrenia is accompanied by aberrant structural connection and abnormal topological organization. However, it remains unclear whether this disruption is present in unbiased whole-brain voxel-wise structural covariance networks (SCNs) and whether brain genetic expression variations are linked with network alterations. In this study, ninety-five patients with schizophrenia and 95 matched healthy controls were recruited and gray matter volumes were extracted from high-resolution structural magnetic resonance imaging scans. Whole-brain voxel-wise gray matter SCNs were constructed at the group level and were further analyzed by using graph theory method. Nonparametric permutation tests were employed for group comparisons. In addition, regression modes along with random effect analysis were utilized to explore the associations between structural network changes and gene expression from the Allen Human Brain Atlas. Compared with healthy controls, the patients with schizophrenia showed significantly increased structural covariance strength (SCS) in the right orbital part of superior frontal gyrus and bilateral middle frontal gyrus, while decreased SCS in the bilateral superior temporal gyrus and precuneus. The altered SCS showed reproducible correlations with the expression profiles of the gene classes involved in therapeutic targets and neurodevelopment. Overall, our findings not only demonstrate that the topological architecture of whole-brain voxel-wise SCNs is impaired in schizophrenia, but also provide evidence for the possible role of therapeutic targets and neurodevelopment-related genes in gray matter structural brain networks in schizophrenia.

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Left Parietal Functional Connectivity Mediates the Association Between COMT rs4633 and Verbal Intelligence in Healthy Adults

Cited by 3 publications

References 39 publications

Network organization of co-opetitive genetic influences on morphologies of the human cerebral cortex

Network organization of co-opetitive genetic influences on morphologies of the human cerebral cortex

Cortical anatomical variations, gene expression profiles, and clinical phenotypes in patients with schizophrenia

Altered voxel-wise gray matter structural brain networks in schizophrenia: Association with brain genetic expression pattern

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