scholarly journals Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

2019 ◽  
Vol 9 (6) ◽  
Author(s):  
Jannis Dvorak ◽  
Marietheres Hilke ◽  
Marco Trettin ◽  
Sofia Wenzler ◽  
Marleen Hagen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Network Topology ◽  
Brain Network ◽  
Major Depressive ◽  
Recurrent Major Depressive Disorder

Classification Between Major Depressive Disorder and Healthy Controls Using Functional Brain Network Topology

2020 ◽  
Vol 87 (9) ◽  
pp. S260
Author(s):  
Yael Jacob ◽  
Laurel Morris ◽  
Kuang-Han Huang ◽  
Molly Schneider ◽  
Sarah Rutter ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Network Topology ◽  
Brain Network ◽  
Healthy Controls ◽  
Major Depressive ◽  
Functional Brain ◽  
Functional Brain Network

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
European Ancestry ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researchers. For individuals with European ancestry we explored whether genetic variation could identify sub-groups with different metabolic profiles. Loci associated with schizophrenia, bipolar disorder and major depressive disorder from previous genome-wide association studies and loci that were also implicated in cardiometabolic processes and diseases were selected. In the IMPROVE study (a high cardiovascular risk sample) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants implicated in both psychiatric and cardiometabolic disorders. Visual inspection of the resulting plots used to identify distinct clusters. Differences between these clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both schizophrenia and cardiometabolic disease (but not bipolar disorder or major depressive disorder) identified three groups of individuals with distinct metabolic profiles. This grouping was replicated within UK Biobank, with somewhat less distinction between metabolic profiles. This work focused on individuals of European ancestry and is unlikely to apply to more genetically diverse populations. Overall, this study provides proof of concept that common biology underlying mental and physical illness may help to stratify subsets of individuals with different cardiometabolic profiles.

scholarly journals Correction to: Metabolic features of recurrent major depressive disorder in remission, and the risk of future recurrence

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Roel J. T. Mocking ◽  
Jane C. Naviaux ◽  
Kefeng Li ◽  
Lin Wang ◽  
Jonathan M. Monk ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Major Depressive ◽  
Recurrent Major Depressive Disorder

A Correction to this paper has been published: https://doi.org/10.1038/s41398-021-01239-4

Predictors of conversion of major depressive disorder to bipolar disorder

2021 ◽  
pp. 113939
Author(s):  
Satish Suhas ◽  
Abha Thakurdesai ◽  
Amal Jolly Joseph ◽  
Chittaranjan Andrade
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Major Depressive
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