Default mode network coherence in treatment-resistant major depressive disorder during electroconvulsive therapy

2016 ◽  
Vol 205 ◽  
pp. 130-137 ◽  
Author(s):  
Peter C.R. Mulders ◽  
Philip F.P. van Eijndhoven ◽  
Joris Pluijmen ◽  
Aart H. Schene ◽  
Indira Tendolkar ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Electroconvulsive Therapy ◽  
Default Mode Network ◽  
Treatment Resistant ◽  
Major Depressive ◽  
Default Mode

scholarly journals All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder

2020 ◽  
Vol 45 (12) ◽  
pp. 2058-2069 ◽  
Author(s):  
Andrea Scalabrini ◽  
Benedetta Vai ◽  
Sara Poletti ◽  
Stefano Damiani ◽  
Clara Mucci ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Default Mode Network ◽  
Major Depressive ◽  
Default Mode ◽  
Global Source

scholarly journals Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns

2020 ◽  
Vol 28 ◽  
pp. 102514
Author(s):  
Sugai Liang ◽  
Wei Deng ◽  
Xiaojing Li ◽  
Andrew J. Greenshaw ◽  
Qiang Wang ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Default Mode Network ◽  
Resting State ◽  
Major Depressive ◽  
Default Mode ◽  
Network Patterns

Cognitive Performance Under Electroconvulsive Therapy (ECT) in ECT-Naive Treatment-Resistant Patients With Major Depressive Disorder

2017 ◽  
Vol 33 (2) ◽  
pp. 104-110 ◽  
Author(s):  
Christoph Ziegelmayer ◽  
Göran Hajak ◽  
Anne Bauer ◽  
Marion Held ◽  
Rainer Rupprecht ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cognitive Performance ◽  
Electroconvulsive Therapy ◽  
Treatment Resistant ◽  
Major Depressive

scholarly journals Reduced Default Mode Network Functional Connectivity in Patients with Recurrent Major Depressive Disorder

2018 ◽  
Author(s):  
Chao-Gan Yan ◽  
Xiao Chen ◽  
Le Li ◽  
Francisco Xavier Castellanos ◽  
Tong-Jian Bai ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Functional Connectivity ◽  
Depressive Disorder ◽  
Default Mode Network ◽  
Resting State ◽  
Resting State Fmri ◽  
Research Groups ◽  
Major Depressive ◽  
Default Mode ◽  
Normal Controls

ABSTRACTMajor Depressive Disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups in China established the REST-meta-MDD Consortium by contributing R-fMRI data from 1,300 patients with MDD and 1,128 normal controls (NCs). Data were preprocessed locally with a standardized protocol prior to aggregated group analyses. We focused on functional connectivity (FC) within the default mode network (DMN), frequently reported to be increased in MDD. Instead, we found decreased DMN FC when we compared 848 patients with MDD to 794 NCs from 17 sites after data exclusion. We found FC reduction only in recurrent MDD, not in first-episode drug-naïve MDD. Decreased DMN FC was associated with medication usage but not with MDD duration. DMN FC was also positively related to symptom severity but only in recurrent MDD. Exploratory analyses also revealed alterations in FC of visual, sensory-motor and dorsal attention networks in MDD. We confirmed the key role of DMN in MDD but found reduced rather than increased FC within the DMN. Future studies should test whether decreased DMN FC mediates response to treatment. Finally, all resting-state fMRI indices of data contributed by the REST-meta-MDD consortium are being shared publicly via the R-fMRI Maps Project.SIGNIFICANCE STATEMENTFunctional connectivity within the default mode network in major depressive disorder patients has been frequently reported abnormal but with contradicting directions in previous small sample size studies. In creating the REST-meta-MDD consortium containing neuroimaging data of 1,300 depressed patients and 1,128 normal controls from 25 research groups in China, we found decreased default mode network functional connectivity in depressed patients, driven by patients with recurrent depression, and associated with current medication treatment but not with disease duration. These findings suggest that default mode network functional connectivity remains a prime target for understanding the pathophysiology of depression, with particular relevance to revealing mechanisms of effective treatments.

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