scholarly journals Connectome-Scale Assessments of Functional Connectivity in Children with Primary Monosymptomatic Nocturnal Enuresis

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Du Lei ◽  
Jun Ma ◽  
Jilei Zhang ◽  
Mengxing Wang ◽  
Kaihua Zhang ◽  
...  
Keyword(s):  
Nocturnal Enuresis ◽  
Brain Networks ◽  
Brain Network ◽  
Blood Oxygenation ◽  
Clustering Coefficient ◽  
Global Perspective ◽  
Characteristic Path Length ◽  
Network Analyses ◽  
Monosymptomatic Nocturnal Enuresis ◽  
Primary Monosymptomatic Nocturnal Enuresis

Primary monosymptomatic nocturnal enuresis (PMNE) is a common developmental disorder in children. Previous literature has suggested that PMNE not only is a micturition disorder but also is characterized by cerebral structure abnormalities and dysfunction. However, the biological mechanisms underlying the disease are not thoroughly understood. Graph theoretical analysis has provided a unique tool to reveal the intrinsic attributes of the connectivity patterns of a complex network from a global perspective. Resting-state fMRI was performed in 20 children with PMNE and 20 healthy controls. Brain networks were constructed by computing Pearson’s correlations for blood oxygenation level-dependent temporal fluctuations among the 2 groups, followed by graph-based network analyses. The functional brain networks in the PMNE patients were characterized by a significantly lower clustering coefficient, global and local efficiency, and higher characteristic path length compared with controls. PMNE patients also showed a reduced nodal efficiency in the bilateral calcarine sulcus, bilateral cuneus, bilateral lingual gyri, and right superior temporal gyrus. Our findings suggest that PMNE includes brain network alterations that may affect global communication and integration.

scholarly journals Hemispheric Asymmetry of Functional Brain Networks under Different Emotions Using EEG Data

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 939
Author(s):  
Rui Cao ◽  
Huiyu Shi ◽  
Xin Wang ◽  
Shoujun Huo ◽  
Yan Hao ◽  
...  
Keyword(s):  
Hemispheric Asymmetry ◽  
Right Hemisphere ◽  
Brain Networks ◽  
Brain Network ◽  
Clustering Coefficient ◽  
Phase Lag ◽  
Characteristic Path Length ◽  
High Arousal ◽  
Eeg Data ◽  
The Right

Despite many studies reporting hemispheric asymmetry in the representation and processing of emotions, the essence of the asymmetry remains controversial. Brain network analysis based on electroencephalography (EEG) is a useful biological method to study brain function. Here, EEG data were recorded while participants watched different emotional videos. According to the videos’ emotional categories, the data were divided into four categories: high arousal high valence (HAHV), low arousal high valence (LAHV), low arousal low valence (LALV) and high arousal low valence (HALV). The phase lag index as a connectivity index was calculated in theta (4–7 Hz), alpha (8–13 Hz), beta (14–30 Hz) and gamma (31–45 Hz) bands. Hemispheric networks were constructed for each trial, and graph theory was applied to quantify the hemispheric networks’ topological properties. Statistical analyses showed significant topological differences in the gamma band. The left hemispheric network showed significantly higher clustering coefficient (Cp), global efficiency (Eg) and local efficiency (Eloc) and lower characteristic path length (Lp) under HAHV emotion. The right hemispheric network showed significantly higher Cp and Eloc and lower Lp under HALV emotion. The results showed that the left hemisphere was dominant for HAHV emotion, while the right hemisphere was dominant for HALV emotion. The research revealed the relationship between emotion and hemispheric asymmetry from the perspective of brain networks.

scholarly journals Aberrant Brain Network Integration and Segregation in Diabetic Peripheral Neuropathy Revealed by Structural Connectomics

2020 ◽  
Vol 14 ◽  
Author(s):  
Fangxue Yang ◽  
Minli Qu ◽  
Youming Zhang ◽  
Linmei Zhao ◽  
Wu Xing ◽  
...  
Keyword(s):  
Peripheral Neuropathy ◽  
Diabetic Peripheral Neuropathy ◽  
Large Scale ◽  
Brain Networks ◽  
Brain Network ◽  
Clustering Coefficient ◽  
Global Integration ◽  
Characteristic Path Length ◽  
Structural Covariance ◽  
The Central Nervous System

Diabetic peripheral neuropathy (DPN) is one of the most common forms of peripheral neuropathy, and its incidence has been increasing. Mounting evidence has shown that patients with DPN have been associated with widespread alterations in the structure, function and connectivity of the brain, suggesting possible alterations in large-scale brain networks. Using structural covariance networks as well as advanced graph-theory-based computational approaches, we investigated the topological abnormalities of large-scale brain networks for a relatively large sample of patients with DPN (N = 67) compared to matched healthy controls (HCs; N = 88). Compared with HCs, the structural covariance networks of patients with DPN showed an increased characteristic path length, clustering coefficient, sigma, transitivity, and modularity, suggestive of inefficient global integration and increased local segregation. These findings may improve our understanding of the pathophysiological mechanisms underlying alterations in the central nervous system of patients with DPN from the perspective of large-scale structural brain networks.

Differences in Functional Brain Networks Between Subjective Cognitive Decline with and without Worry Groups: A Graph Theory Study from SILCODE

2021 ◽  
pp. 1-11
Author(s):  
Yi Liu ◽  
Zhuoyuan Li ◽  
Xueyan Jiang ◽  
Wenying Du ◽  
Xiaoqi Wang ◽  
...  
Keyword(s):  
Graph Theory ◽  
Cognitive Decline ◽  
Path Length ◽  
Brain Networks ◽  
Brain Network ◽  
Clustering Coefficient ◽  
Subjective Cognitive Decline ◽  
Functional Brain ◽  
Functional Brain Network ◽  
Functional Brain Networks

Background: Evidence suggests that subjective cognitive decline (SCD) individuals with worry have a higher risk of cognitive decline. However, how SCD-related worry influences the functional brain network is still unknown. Objective: In this study, we aimed to explore the differences in functional brain networks between SCD subjects with and without worry. Methods: A total of 228 participants were enrolled from the Sino Longitudinal Study on Cognitive Decline (SILCODE), including 39 normal control (NC) subjects, 117 SCD subjects with worry, and 72 SCD subjects without worry. All subjects completed neuropsychological assessments, APOE genotyping, and resting-state functional magnetic resonance imaging (rs-fMRI). Graph theory was applied for functional brain network analysis based on both the whole brain and default mode network (DMN). Parameters including the clustering coefficient, shortest path length, local efficiency, and global efficiency were calculated. Two-sample T-tests and chi-square tests were used to analyze differences between two groups. In addition, a false discovery rate-corrected post hoc test was applied. Results: Our analysis showed that compared to the SCD without worry group, SCD with worry group had significantly increased functional connectivity and shortest path length (p = 0.002) and a decreased clustering coefficient (p = 0.013), global efficiency (p = 0.001), and local efficiency (p <  0.001). The above results appeared in both the whole brain and DMN. Conclusion: There were significant differences in functional brain networks between SCD individuals with and without worry. We speculated that worry might result in alterations of the functional brain network for SCD individuals and then result in a higher risk of cognitive decline.

scholarly journals Abnormal Degree Centrality in the Right Inferior Frontal Gyrus During Urine Holding in Children With Primary Monosymptomatic Nocturnal Enuresis

2021 ◽  
Author(s):  
Mengxing Wang ◽  
Xiangyu Zheng ◽  
Zhaoxia Qin ◽  
Jun Ma ◽  
Xiaoxia Du
Keyword(s):  
Nocturnal Enuresis ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Degree Centrality ◽  
Healthy Children ◽  
Bladder Control ◽  
Monosymptomatic Nocturnal Enuresis ◽  
Urine Storage ◽  
The Right ◽  
Primary Monosymptomatic Nocturnal Enuresis

Abstract Background: Primary monosymptomatic nocturnal enuresis (PMNE) is a common disorder among school-age children. Previous research has suggested that the prefrontal cortex (PFC) is essential to maintain urine storage in bladder control. We hypothesized that children with PMNE have functional deficits in several brain regions, especially the PFC, during urine storage. In this work, we investigated 30 children with PMNE and 28 controls in a state of natural urine holding to evaluate dysfunction in the bladder control network by applying degree centrality (DC) analysis methods based on resting-state functional magnetic resonance imaging. And seed-based functional connectivity (FC) analysis was used to investigate whether the dysfunctional areas exhibited altered FC with other brain regions.Results: Compared with the typical healthy children, the children with PMNE showed increased DC in the right inferior frontal gyrus (IFG). Also, the right IFG showed increased connectivity with the left middle and inferior frontal gyri and the right precuneus extending to the cuneus in the children with PMNE.Conclusion: The children with PMNE showed abnormal neural activity during urine storage and exhibited increased DC in the right IFG and increased connectivity with the left PFC and right precuneus during urine storage. These results suggest that compensatory effects may be associated with the right IFG combined with the precuneus and left PFC working together to maintain high vigilance and improve micturition's inhibition function to preserve the state of urine holding in children with PMNE.

The optimal duration of alarm therapy use in children with primary monosymptomatic nocturnal enuresis

2018 ◽  
Vol 14 (5) ◽  
pp. 447.e1-447.e6 ◽  
Author(s):  
Kirill V. Kosilov ◽  
Boris I. Geltser ◽  
Sergay A. Loparev ◽  
Irina G. Kuzina ◽  
Olga V. Shakirova ◽  
...  
Keyword(s):  
Nocturnal Enuresis ◽  
Optimal Duration ◽  
Monosymptomatic Nocturnal Enuresis ◽  
Primary Monosymptomatic Nocturnal Enuresis
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