Disrupted cortical hubs in functional brain networks in social anxiety disorder

Liu, Feng; Zhu, Chunyan; Wang, Yifeng; Guo, Wenbin; Li, Meiling; Wang, Wen-Qin; Long, Zhiliang; Meng, Yajing; Cui, Qian; Zeng, Lingsen; Gong, Qiyong; Zhang, Wei; Chen, Huafu

doi:10.1016/j.clinph.2014.11.014

Cited by 119 publications

(71 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this reason, multichannel EEG recordings were used in order to compute the cortical networks by employing the methodology proposed by De Vico Fallani et al(2010). We assume that the aforementioned difference would be apparent in various graph metrics such as clustering coefficient, characteristic path length, small worldness and density, while due to the limited neuroscientific literature, and based on similar studies regarding social and general anxiety disorders (Ionescu, Niciu, Mathews, Richards, & Zarate, 2013;Knyazev, 2011;Liao et al, 2011;Liu et al, 2015;Pannekoek et al, 2013;Roy et al, 2013;Sylvester et al, 2012), we expect to see differences in segregation and integration and increased connectivity in individuals suffering from MA. The novelty of this study lies with the fact that this is the first EEG study that explores the effects of self-reported MA, during a resting state condition anticipating a math-related experiment, in cortical networks' organization.…”

Section: Introductionmentioning

confidence: 99%

Math anxiety: Brain cortical network changes in anticipation of doing mathematics

Klados

Pandria

Micheloyannis

et al. 2017

International Journal of Psychophysiology

View full text Add to dashboard Cite

Following our previous work regarding the involvement of math anxiety (MA) in math-oriented tasks, this study tries to explore the differences in the cerebral networks' topology between self-reported low math-anxious (LMA) and high math-anxious (HMA) individuals, during the anticipation phase prior to a mathematical related experiment. For this reason, multichannel EEG recordings were adopted, while the solution of the inverse problem was applied in a generic head model, in order to obtain the cortical signals. The cortical networks have been computed for each band separately, using the magnitude square coherence metric. The main graph theoretical parameters, showed differences in segregation and integration in almost all EEG bands of the HMAs in comparison to LMAs, indicative of a great influence of the anticipatory anxiety prior to mathematical performance.

show abstract

Section: Introductionmentioning

confidence: 99%

Math anxiety: Brain cortical network changes in anticipation of doing mathematics

Klados

Pandria

Micheloyannis

et al. 2017

International Journal of Psychophysiology

View full text Add to dashboard Cite

show abstract

“…The high level of centrality of brain hubs also renders them vulnerable to brain disorders. Many diseases, such as Alzheimer disease, and some psychiatric disorders have been found to have disturbed hubs [18,19]. Although previous studies have demonstrated altered topological organization, the connectivity patterns of brain hubs in Rs-fMRI networks in specific PD subtypes remain to be elucidated.…”

Section: Introductionmentioning

confidence: 99%

Disrupted Brain Network Hubs in Subtype-Specific Parkinson's Disease

Chen

et al. 2017

Eur Neurol

View full text Add to dashboard Cite

Background/Aims: The topological organization of brain functional networks is impaired in Parkinson's disease (PD). However, the altered patterns of functional network hubs in different subtypes of PD are not completely understood. Methods: 3T resting-state functional MRI and voxel-based graph-theory analysis were employed to systematically investigate the intrinsic functional connectivity patterns of whole-brain networks. We enrolled 31 patients with PD (12 tremor dominant [TD] and 19 with postural instability/gait difficulty [PIGD]) and 22 matched healthy controls. Whole-brain voxel-wise functional networks were constructed by measuring the temporal correlations of each pair of brain voxels. Functional connectivity strength was calculated to explore the brain network hubs. Results: We found that both the TD and PIGD subtypes had comprehensive disrupted regions. These mainly involved the basal ganglia, cerebellum, superior temporal gyrus, pre- and postcentral gyri, inferior frontal gyrus, middle temporal gyrus, lingual gyrus, insula, and parahippocampal gyrus. Furthermore, the PIGD subgroup had more disrupted hubs in the cerebellum than the TD subgroup. These disruptions of hub connectivity were not correlated with the HY stage or disease duration. Conclusion: Our results emphasize the subtype-specific PD-related degeneration of brain hubs, providing novel insights into the pathophysiological mechanisms of connectivity dysfunction in different PD subgroups.

show abstract

“…However, few studies have explored the topology of the functional network in SAD. Last year, we used functional connectivity strength (FCS) to examine the cortical hubs in SAD using the graph theory method and found that the patients with SAD had disrupted cortical hubs during resting states, a discovery that provides novel insights into the pathophysiological mechanisms of SAD13. In addition to cortical hubs, “small-world” parameters and network efficiency, which can indicate the organization of the global network, are also important in graph theory analysis.…”

mentioning

confidence: 99%

Altered Topological Properties of Brain Networks in Social Anxiety Disorder: A Resting-state Functional MRI Study

Zhu

Qiu

Meng

et al. 2017

Sci Rep

Self Cite

View full text Add to dashboard Cite

Recent studies involving connectome analysis including graph theory have yielded potential biomarkers for mental disorders. In this study, we aimed to investigate the differences of resting-state network between patients with social anxiety disorder (SAD) and healthy controls (HCs), as well as to distinguish between individual subjects using topological properties. In total, 42 SAD patients and the same number of HCs underwent resting functional MRI, and the topological organization of the whole-brain functional network was calculated using graph theory. Compared with the controls, the patients showed a decrease in 49 positive connections. In the topological analysis, the patients showed an increase in the area under the curve (AUC) of the global shortest path length of the network (Lp) and a decrease in the AUC of the global clustering coefficient of the network (Cp). Furthermore, the AUCs of Lp and Cp were used to effectively discriminate the individual SAD patients from the HCs with high accuracy. This study revealed that the neural networks of the SAD patients showed changes in topological characteristics, and these changes were prominent not only in both groups but also at the individual level. This study provides a new perspective for the identification of patients with SAD.

show abstract

Disrupted cortical hubs in functional brain networks in social anxiety disorder

Cited by 119 publications

References 41 publications

Math anxiety: Brain cortical network changes in anticipation of doing mathematics

Math anxiety: Brain cortical network changes in anticipation of doing mathematics

Disrupted Brain Network Hubs in Subtype-Specific Parkinson's Disease

Altered Topological Properties of Brain Networks in Social Anxiety Disorder: A Resting-state Functional MRI Study

Contact Info

Product

Resources

About