The relationships between the topological properties of the whole-brain white matter network and the severity of autism spectrum disorder: A study from monozygotic twins

Li, Chunyan; Li, Yun; Fu, Linyan; Wang, Yue; Cheng, Xin; Cui, Xiwen; Jiang, Jiying; Xiao, Ting; Ke, Xiaoyan; Fang, Hui

doi:10.1016/j.neuroscience.2021.04.003

Cited by 4 publications

(9 citation statements)

References 35 publications

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“…Hu, Qian, et al (2020) found a significant reduction of network efficiency in the corticosubcortical circuits in depressed patients with Parkinson's disease, which indicated disrupted integrity in large-scale brain systems. Furthermore, Li et al (2021) found that the core symptoms in patients with autism spectrum disorder were correlated with the WM topological properties generated from a topological network. Other studies also showed that the structural network was significantly disrupted in brain disorders such as small vessel disease, depression, and epilepsy (Chen et al, 2021;Gou et al, 2018;Xie et al, 2017;Yu et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Segmentation of the brain using GM mapping resulted in 90 regions of interest (ROIs) using the Anatomical Automatic Labeling (AAL) atlas. Each of these regions acts as nodes in the network, while WM fibers that were tracked formed the edges in the network (Hu, Qian, et al., 2020; Li et al., 2021).…”

Section: Methodsmentioning

confidence: 99%

“…The brain network constructed by using the average FA value between each region of the brain atlas is referred to as the FA network (Li et al., 2021). We compared the FA network between HCs and patients with LIG with age and sex as covariates using the Gretna toolbox (Wang et al., 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Each of these regions acts as nodes in the network, while WM fibers that were tracked formed the edges in the network (Hu, Qian, et al, 2020;Li et al, 2021).…”

Section: Image Preprocessingmentioning

confidence: 99%

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Structural alterations of the salience network in patients with insular glioma

Cao

et al. 2023

Brain and Behavior

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Objective:The structural alteration that occurs within the salience network (SN) in patients with insular glioma is unclear. Therefore, we aimed to investigate the changes in the topological network and brain structure alterations within the SN in patients with insular glioma. Methods:We enrolled 46 patients with left insular glioma, 39 patients with right insular glioma, and 21 demographically matched healthy controls (HCs). We compared the topological network, gray matter (GM) volume, and fractional anisotropy (FA) between HCs and patients after controlling for the effects of age and gender.Results: Patients with insular glioma showed topological network decline mainly in the insula, basal ganglia region, and anterior cingulate cortex (ACC). Compared with HCs, patients primarily showed GM volume increased in the ACC, inferior temporal gyrus (ITG), superior temporal gyrus (STG), temporal pole: middle temporal gyrus (TPOmid), insula, middle temporal gyrus (MTG), middle frontal gyrus, and superior occipital gyrus (SOG), but decreased in TPOmid, ITG, temporal pole: superior temporal gyrus, and SOG. FA declined mainly in the STG, MTG, ACC, superior frontal gyrus, and SOG, and also showed an increased cluster in SOG.Conclusions: FA represents the integrity of the white matter. In patients with insular glioma, decreased FA may lead to the destruction of the topological network within the SN, which in turn may lead to the decrease of network efficiency and brain function, and the increase of GM volume may compensate for these changes. Overall, this pattern of structural changes provides new insight into the compensation model of insular glioma.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…Each of these regions acts as nodes in the network, while WM fibers that were tracked formed the edges in the network (Hu, Qian, et al, 2020;Li et al, 2021).…”

Section: Image Preprocessingmentioning

confidence: 99%

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Structural alterations of the salience network in patients with insular glioma

Cao

et al. 2023

Brain and Behavior

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“…This trade-off could be tied to modifications in the neuronal network. Recent neuronal tract imaging using diffusion tensor imaging (DTI), which is a magnetic resonance imaging (MRI) technique, suggests that the trade-off might be related to an increased short-range circuit and decreased long-range connectivity (38)(39)(40)(41) in ASD, and also abnormal connectivity in FXS (42,43).…”

Section: The Presence Of Phenotypic Trade-offs Has Been Previously Studied In Nddsmentioning

confidence: 99%

Phenotypic Trade-Offs: Deciphering the Impact of Neurodiversity on Drug Development in Fragile X Syndrome

et al. 2021

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Fragile X syndrome (FXS) is the most common single-gene cause of intellectual disability and autism spectrum disorder. Individuals with FXS present with a wide range of severity in multiple phenotypes including cognitive delay, behavioral challenges, sleep issues, epilepsy, and anxiety. These symptoms are also shared by many individuals with other neurodevelopmental disorders (NDDs). Since the discovery of the FXS gene, FMR1, FXS has been the focus of intense preclinical investigation and is placed at the forefront of clinical trials in the field of NDDs. So far, most studies have aimed to translate the rescue of specific phenotypes in animal models, for example, learning, or improving general cognitive or behavioral functioning in individuals with FXS. Trial design, selection of outcome measures, and interpretation of results of recent trials have shown limitations in this type of approach. We propose a new paradigm in which all phenotypes involved in individuals with FXS would be considered and, more importantly, the possible interactions between these phenotypes. This approach would be implemented both at the baseline, meaning when entering a trial or when studying a patient population, and also after the intervention when the study subjects have been exposed to the investigational product. This approach would allow us to further understand potential trade-offs underlying the varying effects of the treatment on different individuals in clinical trials, and to connect the results to individual genetic differences. To better understand the interplay between different phenotypes, we emphasize the need for preclinical studies to investigate various interrelated biological and behavioral outcomes when assessing a specific treatment. In this paper, we present how such a conceptual shift in preclinical design could shed new light on clinical trial results. Future clinical studies should take into account the rich neurodiversity of individuals with FXS specifically and NDDs in general, and incorporate the idea of trade-offs in their designs.

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