Evidence of a Dissociation Pattern in Resting-State Default Mode Network Connectivity in First-Episode, Treatment-Naive Major Depression Patients

2012 ◽  
Vol 71 (7) ◽  
pp. 611-617 ◽  
Author(s):  
Xueling Zhu ◽  
Xiang Wang ◽  
Jin Xiao ◽  
Jian Liao ◽  
Mingtian Zhong ◽  
...  
Keyword(s):  
Major Depression ◽  
Default Mode Network ◽  
Resting State ◽  
Network Connectivity ◽  
First Episode ◽  
Default Mode ◽  
Dissociation Pattern ◽  
Treatment Naïve

scholarly journals Abnormal Default Mode Network Homogeneity in Treatment-Naive Patients With First-Episode Depression

2018 ◽  
Vol 9 ◽  
Author(s):  
Yujun Gao ◽  
Menglin Wang ◽  
RenQiang Yu ◽  
Yaping Li ◽  
Ying Yang ◽  
...  
Keyword(s):  
Default Mode Network ◽  
First Episode ◽  
Default Mode ◽  
Treatment Naïve

scholarly journals Altered insula–default mode network connectivity in fibromyalgia: a resting-state magnetoencephalographic study

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Fu-Jung Hsiao ◽  
Shuu-Jiun Wang ◽  
Yung-Yang Lin ◽  
Jong-Ling Fuh ◽  
Yu-Chieh Ko ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Network Connectivity ◽  
Default Mode

scholarly journals Brain network connectivity in major depression: extending findings from a large public data set by meta-analysis across sites

2020 ◽  
Author(s):  
Leonardo Tozzi ◽  
Leanne Maree Williams
Keyword(s):  
Major Depression ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Meta Analysis ◽  
Network Connectivity ◽  
Strong Impact ◽  
Data Set ◽  
Default Mode ◽  
Depressed Patients ◽  
Public Data

In this short communication, we test whether patients with major depression and healthy individuals have different functional connectivity within established brain networks. To this end, we leverage a very large multi-site data set of resting state fMRI data (1,300 depressed patients and 1,128 controls) collected by 25 groups. A previous study conducted on this data set compared functional connectivity of the default mode network between the two groups. In our investigation, we performed a meta-analysis across sites quantifying the effects of depression and symptom severity on connectivity of several brain-wide networks beyond the default mode. Running a meta-analysis instead of a mega-analysis also allowed us to calculate effect sizes, heterogeneity and prediction intervals that will be valuable to inform future studies wishing to investigate network functional connectivity in depression. Our results indicate that network connectivity differences between depressed and healthy subjects are consistently small, with confidence intervals almost always encompassing zero, in line with the mixed findings from previous research. Default mode network connectivity differences between depressed patients and controls were exceptionally heterogeneous across sites, suggesting the existence of depression sub-types with normo- and hypo-connected default mode network or a strong impact of clinical confounds on default mode network connectivity. The only networks for which connectivity in depressed individuals was consistently lower than in controls were the somato-motor and visual networks, which could be promising understudied targets for future investigation. Overall, we highlight the need of minimizing heterogeneity in future multi-site studies on functional connectivity in depression and the need for more research on novel taxonomies of mental illness that are robustly anchored in brain function.

Author response for "Resting‐state default mode network connectivity in young individuals with Down syndrome"

2020 ◽  
Author(s):  
María Dolores Figueroa‐Jimenez ◽  
Cristina Cañete‐Massé ◽  
María Carbó‐Carreté ◽  
Daniel Zarabozo‐Hurtado ◽  
Maribel Peró‐Cebollero ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Default Mode Network ◽  
Resting State ◽  
Network Connectivity ◽  
Author Response ◽  
Default Mode
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