Altered white matter structural networks in drug-naïve patients with obsessive-compulsive disorder

Zhou, Cong; Ping, Liangliang; Chen, Wei; He, Mengxin; Xu, Jian; Shen, Zonglin; Lü, Yi; Shang, Bin-Li; Xu, Xiufeng; Cheng, Yuqi

doi:10.1007/s11682-020-00278-7

Cited by 10 publications

(20 citation statements)

References 68 publications

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“…The rich club regions were observed both in OCD patients, FDR and HC in this study, comprising the right putamen, bilateral precentral gyrus, left temporal middle gyrus, bilateral precuneus, left postcentral gyrus, and bilateral supplementary motor area. Our finding of rich club regions is to a large extent consistent with previous research on whole-brain structural networks in OCD ( Zhou et al, 2020 ). Additionally, the putamen and precentral gyrus were also found to be important hubs in the present study; these regions were also associated with OCD pathomechanism, including in the cortico-striatal circuits in previous studies ( Jang et al, 2010 , Kubota et al, 2019 , Rasgon et al, 2017 , Zhou et al, 2020 ).…”

Section: Discussionsupporting

confidence: 92%

“…Our finding of rich club regions is to a large extent consistent with previous research on whole-brain structural networks in OCD ( Zhou et al, 2020 ). Additionally, the putamen and precentral gyrus were also found to be important hubs in the present study; these regions were also associated with OCD pathomechanism, including in the cortico-striatal circuits in previous studies ( Jang et al, 2010 , Kubota et al, 2019 , Rasgon et al, 2017 , Zhou et al, 2020 ). Moreover, these rich club nodes overlapped with the default mode network (DMN).…”

Section: Discussionsupporting

confidence: 92%

“…However, very few studies investigated the rich club organization in OCD. One previous study from Zhou et al (2020) reported that the structural connectivity was increased not only among the rich club, but also among peripheral nodes, in OCD relative to HC. However, its functional counterpart remains unclear.…”

Section: Introductionmentioning

confidence: 87%

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Aberrant rich club organization in patients with obsessive-compulsive disorder and their unaffected first-degree relatives

Peng

Yang

et al. 2021

NeuroImage: Clinical

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

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Aberrant rich club organization in patients with obsessive-compulsive disorder and their unaffected first-degree relatives

Peng

Yang

et al. 2021

NeuroImage: Clinical

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“…In the present study, AD and SIVD patients and NC performed small-world properties. Small-world organization, reflecting an optimal balance of integration and segregation, appears to be a ubiquitous organization of anatomical connectivity (Bassett and Bullmore, 2006;Zhou et al, 2020). Sigma is a measurement of small-world property in the structural network (Sun et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…DTI has been applied in many studies to explore white matter changes in patients with AD and SIVD by voxel-or tract-based methods (Chen et al, 2018;Palesi et al, 2018;Liu et al, 2019). However, the human brain is a complicated and interconnected network balancing regional segregation and the specialization of function with strong integration (Zhou et al, 2020). The clinical syndromes of AD and SIVD, such as executive dysfunction and memory deficits, might result from abnormal structural connections.…”

Section: Introductionmentioning

confidence: 99%

White Matter Structural Network Analysis to Differentiate Alzheimer’s Disease and Subcortical Ischemic Vascular Dementia

Feng

Zhang

Liu

et al. 2021

Front. Aging Neurosci.

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To explore the evaluation of white matter structural network analysis in the differentiation of Alzheimer’s disease (AD) and subcortical ischemic vascular dementia (SIVD), 67 participants [31 AD patients, 19 SIVD patients, and 19 normal control (NC)] were enrolled in this study. Each participant underwent 3.0T MRI scanning. Diffusion tensor imaging (DTI) data were analyzed by graph theory (GRETNA toolbox). Statistical analyses of global parameters [gamma, sigma, lambda, global shortest path length (Lp), global efficiency (Eg), and local efficiency (Eloc)] and nodal parameters [betweenness centrality (BC)] were obtained. Network-based statistical analysis (NBS) was employed to analyze the group differences of structural connections. The diagnosis efficiency of nodal BC in identifying different types of dementia was assessed by receiver operating characteristic (ROC) analysis. There were no significant differences of gender and years of education among the groups. There were no significant differences of sigma and gamma in AD vs. NC and SIVD vs. NC, whereas the Eg values of AD and SIVD were statistically decreased, and the lambda values were increased. The BC of the frontal cortex, left superior parietal gyrus, and left precuneus in AD patients were obviously reduced, while the BC of the prefrontal and subcortical regions were decreased in SIVD patients, compared with NC. SIVD patients had decreased structural connections in the frontal, prefrontal, and subcortical regions, while AD patients had decreased structural connections in the temporal and occipital regions and increased structural connections in the frontal and prefrontal regions. The highest area under curve (AUC) of BC was 0.946 in the right putamen for AD vs. SIVD. White matter structural network analysis may be a potential and promising method, and the topological changes of the network, especially the BC change in the right putamen, were valuable in differentiating AD and SIVD patients.

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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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Altered white matter structural networks in drug-naïve patients with obsessive-compulsive disorder

Cited by 10 publications

References 68 publications

Aberrant rich club organization in patients with obsessive-compulsive disorder and their unaffected first-degree relatives

Aberrant rich club organization in patients with obsessive-compulsive disorder and their unaffected first-degree relatives

White Matter Structural Network Analysis to Differentiate Alzheimer’s Disease and Subcortical Ischemic Vascular Dementia

Structural alterations of the salience network in patients with insular glioma

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