scholarly journals Abnormal Large-Scale Network Activation Present in Bipolar Mania and Bipolar Depression Under Resting State

2021 ◽  
Vol 12 ◽  
Author(s):  
Can Zeng ◽  
Brendan Ross ◽  
Zhimin Xue ◽  
Xiaojun Huang ◽  
Guowei Wu ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Independent Component Analysis ◽  
Resting State ◽  
Rating Scale ◽  
Bipolar Depression ◽  
Component Analysis ◽  
Independent Component ◽  
Frontoparietal Network ◽  
Bipolar Mania ◽  
Group Independent Component Analysis

Introduction: Previous studies have primarily focused on the neuropathological mechanisms of the emotional circuit present in bipolar mania and bipolar depression. Recent studies applying resting-state functional magnetic resonance imaging (fMRI) have raise the possibility of examining brain-wide networks abnormality between the two oppositional emotion states, thus this study aimed to characterize the different functional architecture represented in mania and depression by employing group-independent component analysis (gICA).Materials and Methods: Forty-one bipolar depressive patients, 20 bipolar manic patients, and 40 healthy controls (HCs) were recruited and received resting-state fMRI scans. Group-independent component analysis was applied to the brain network functional connectivity analysis. Then, we calculated the correlation between the value of between-group differences and clinical variables.Results: Group-independent component analysis identified 15 components in all subjects, and ANOVA showed that functional connectivity (FC) differed significantly in the default mode network, central executive network, and frontoparietal network across the three groups. Further post-hoc t-tests showed a gradient descent of activity—depression > HC > mania—in all three networks, with the differences between depression and HCs, as well as between depression and mania, surviving after family wise error (FWE) correction. Moreover, central executive network and frontoparietal network activities were positively correlated with Hamilton depression rating scale (HAMD) scores and negatively correlated with Young manic rating scale (YMRS) scores.Conclusions: Three brain networks heighten activity in depression, but not mania; and the discrepancy regions mainly located in prefrontal, which may imply that the differences in cognition and emotion between the two states is associated with top–down regulation in task-independent networks.

Inflammation is correlated with abnormal functional connectivity in unmedicated bipolar depression: an independent component analysis study of resting-state fMRI

2021 ◽  
pp. 1-11
Author(s):  
Guixian Tang ◽  
Pan Chen ◽  
Guanmao Chen ◽  
Shuming Zhong ◽  
JiaYing Gong ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Independent Component Analysis ◽  
Resting State ◽  
Bipolar Depression ◽  
Serum Levels ◽  
Resting State Fmri ◽  
Component Analysis ◽  
Independent Component ◽  
Precentral Gyrus ◽  
The Right

Abstract Background Inflammation might play a role in bipolar disorder (BD), but it remains unclear the relationship between inflammation and brain structural and functional abnormalities in patients with BD. In this study, we focused on the alterations of functional connectivity (FC), peripheral pro-inflammatory cytokines and their correlations to investigate the role of inflammation in FC in BD depression. Methods In this study, 42 unmedicated patients with BD II depression and 62 healthy controls (HCs) were enrolled. Resting-state-functional magnetic resonance imaging was performed in all participants and independent component analysis was used. Serum levels of Interleukin-6 (IL-6) and Interleukin-8 (IL-8) were measured in all participants. Correlation between FC values and IL-6 and IL-8 levels in BD was calculated. Results Compared with the HCs, BD II patients showed decreased FC in the left orbitofrontal cortex (OFC) implicating the limbic network and the right precentral gyrus implicating the somatomotor network. BD II showed increased IL-6 (p = 0.039), IL-8 (p = 0.002) levels. Moreover, abnormal FC in the right precentral gyrus were inversely correlated with the IL-8 (r = −0.458, p = 0.004) levels in BD II. No significant correlation was found between FC in the left OFC and cytokines levels. Conclusions Our findings that serum IL-8 levels are associated with impaired FC in the right precentral gyrus in BD II patients suggest that inflammation might play a crucial role in brain functional abnormalities in BD.

Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements

NeuroImage ◽  
2010 ◽  
Vol 51 (3) ◽  
pp. 1150-1161 ◽  
Author(s):  
Han Zhang ◽  
Yu-Jin Zhang ◽  
Chun-Ming Lu ◽  
Shuang-Ye Ma ◽  
Yu-Feng Zang ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Independent Component Analysis ◽  
Resting State ◽  
Component Analysis ◽  
Independent Component

scholarly journals Group independent component analysis reveals consistent resting-state networks across multiple sessions

2008 ◽  
Vol 1239 ◽  
pp. 141-151 ◽  
Author(s):  
Sharon Chen ◽  
Thomas J. Ross ◽  
Wang Zhan ◽  
Carol S. Myers ◽  
Keh-Shih Chuang ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Resting State ◽  
Component Analysis ◽  
Independent Component ◽  
Resting State Networks ◽  
Group Independent Component Analysis

Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis

2012 ◽  
Vol 18 (9) ◽  
pp. 1251-1258 ◽  
Author(s):  
Anthony Faivre ◽  
Audrey Rico ◽  
Wafaa Zaaraoui ◽  
Lydie Crespy ◽  
Françoise Reuter ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Independent Component Analysis ◽  
Functional Mri ◽  
Resting State ◽  
Surrogate Marker ◽  
Component Analysis ◽  
Independent Component ◽  
Resting State Networks ◽  
Frontoparietal Network ◽  
Multiple Sclerosis Patients

Objective: The present study aims to determine the clinical counterpart of brain resting-state networks reorganization recently evidenced in early multiple sclerosis. Methods: Thirteen patients with early relapsing–remitting multiple sclerosis and 14 matched healthy controls were included in a resting state functional MRI study performed at 3 T. Data were analyzed using group spatial Independent Component Analysis using concatenation approach (FSL 4.1.3) and double regression analyses (SPM5) to extract local and global levels of connectivity inside various resting state networks (RSNs). Differences in global levels of connectivity of each network between patients and controls were assessed using Mann–Whitney U-test. In patients, relationship between clinical data (Expanded Disability Status Scale and Multiple Sclerosis Functional Composite Score – MSFC) and global RSN connectivity were assessed using Spearman rank correlation. Results: Independent component analysis provided eight consistent neuronal networks involved in motor, sensory and cognitive processes. For seven RSNs, the global level of connectivity was significantly increased in patients compared with controls. No significant decrease in RSN connectivity was found in early multiple sclerosis patients. MSFC values were negatively correlated with increased RSN connectivity within the dorsal frontoparietal network ( r = −0.811, p = 0.001), the right ventral frontoparietal network ( r = − 0.587, p = 0.045) and the prefronto-insular network ( r = −0.615, p = 0.033). Conclusions: This study demonstrates that resting state networks reorganization is strongly associated with disability in early multiple sclerosis. These findings suggest that resting state functional MRI may represent a promising surrogate marker of disease burden.

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