scholarly journals Complexity analysis of spontaneous brain activity in mood disorders: A magnetoencephalography study of bipolar disorder and major depression

2018 ◽  
Vol 84 ◽  
pp. 112-117 ◽  
Author(s):  
Alberto Fernández ◽  
Ali H. Al-Timemy ◽  
Francisco Ferre ◽  
Gabriel Rubio ◽  
Javier Escudero
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Mood Disorders ◽  
Complexity Analysis ◽  
Brain Activity ◽  
Spontaneous Brain Activity

Mood Disorders (Major Depression, Bipolar Disorder)

2017 ◽  
pp. 1-17
Author(s):  
Nages Nagaratnam ◽  
Kujan Nagaratnam ◽  
Gary Cheuk
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Mood Disorders

scholarly journals Abnormal Spontaneous Brain Activity and Functional Connectivity of the Default Mode Network in Patients with Bipolar Disorder

2021 ◽  
Author(s):  
Lei Zhao ◽  
Qijing Bo ◽  
Zhifang Zhang ◽  
Feng Li ◽  
Yuan Zhou ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Brain Activity ◽  
Seed Region ◽  
Potential Candidate ◽  
Neural Basis ◽  
Default Mode ◽  
Spontaneous Brain Activity

Abstract Background: No consistent evidence on the specific brain regions is available in the default mode network (DMN), which show abnormal spontaneous activity in bipolar disorder (BD). We aim to identify this region that is particularly impaired in patients with BD by using several different indices measuring spontaneous brain activity and then investigate its functional connectivity (FC).Methods: A total of 56 patients with BD and 71 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Three commonly used functional indices were used to identify the brain region showing abnormal spontaneous brain activity in BD. Then, this region served as the seed region for resting-state FC analysis to identify its functional networks altered in BD.Results: The BD group exhibited decreased fALFF, ReHo, and DC values in the left precuneus. The BD group had decreased rsFC within the DMN, indicated by decreased resting-state FC within the left precuneus and between the left precuneus and the medial prefrontal cortex. The BD group had decreased negative connectivity between the left precuneus and the left putamen, extending to the left insula.Conclusions: The findings provide convergent evidence for the abnormalities in the DMN of BD, particularly located in the left precuneus. Decreased FC within the DMN and the disruptive anticorrelation between the DMN and the salience network are found in BD. These findings suggest that the DMN is a key aspect for understanding the neural basis of BD, and the altered functional patterns of DMN may be a potential candidate biomarker of BD.

scholarly journals Reduced Grey Matter Volume in Frontal and Temporal Areas in Depression: A Voxel Based Morphometry Study

2019 ◽  
Author(s):  
Sevdalina Kandilarova ◽  
Drozdstoy Stoyanov ◽  
Nickolay Sirakov ◽  
Michael Maes ◽  
Karsten Specht
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Mood Disorders ◽  
Grey Matter ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Middle Temporal Gyrus ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Voxel Based Morphometry

Objective: The aim of the current study was to examine whether and to what extent mood disorders, comprising major depression and bipolar disorder, are accompanied by structural changes in the brain as measured using voxel-based morphometry (VBM). Methods: We have performed a VBM study using a 3Т MRI system (GE Discovery 750w) in patients with mood disorders (n=50), namely 39 with major depression and 11 with bipolar disorder, compared to 42 age, sex and education matched healthy controls. Results: Our results show that depression was associated with significant decreases in grey matter (GM) volume restricted to regions located in medial frontal and anterior cingulate cortex on the left side and middle frontal gyrus, medial orbital gyrus, inferior frontal gyrus (triangular and orbital parts), and middle temporal gyrus (extending to the superior temporal gyrus) on the right side. When the patient group was separated into bipolar disorder and major depression the reductions remained significant only for the patients with major depressive disorder. Conclusions: Using VBM the present study was able to replicate decreases in GM volume restricted to frontal and temporal regions in patients with mood disorders mainly major depression, as compared with healthy controls. 

scholarly journals Reduced grey matter volume in frontal and temporal areas in depression: contributions from voxel-based morphometry study

2019 ◽  
Vol 31 (05) ◽  
pp. 252-257 ◽  
Author(s):  
Sevdalina Kandilarova ◽  
Drozdstoy Stoyanov ◽  
Nickolay Sirakov ◽  
Michael Maes ◽  
Karsten Specht
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Mood Disorders ◽  
Grey Matter ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Middle Temporal Gyrus ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Voxel Based Morphometry

AbstractObjective:The aim of the current study was to examine whether and to what extent mood disorders, comprising major depression and bipolar disorder, are accompanied by structural changes in the brain as measured using voxel-based morphometry (VBM).Methods:We performed a VBM study using a 3Т MRI system (GE Discovery 750w) in patients with mood disorders (n=50), namely, 39 with major depression and 11 with bipolar disorder compared to 42 age-, sex- and education-matched healthy controls.Results:Our results show that depression was associated with significant decreases in grey matter (GM) volume of the regions located within the medial frontal and anterior cingulate cortex on the left side and middle frontal gyrus, medial orbital gyrus, inferior frontal gyrus (triangular and orbital parts) and middle temporal gyrus (extending to the superior temporal gyrus) on the right side. When the patient group was separated into bipolar disorder and major depression, the reductions remained significant only for patients with major depressive disorder.Conclusions:Using VBM the present study was able to replicate decreases in GM volume restricted to frontal and temporal regions in patients with mood disorders, mainly major depression, compared with healthy controls.

scholarly journals Complexity Analysis of Spontaneous Brain Activity in Attention-Deficit/Hyperactivity Disorder: Diagnostic Implications

2009 ◽  
Vol 65 (7) ◽  
pp. 571-577 ◽  
Author(s):  
Alberto Fernández ◽  
Javier Quintero ◽  
Roberto Hornero ◽  
Pilar Zuluaga ◽  
Marta Navas ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Complexity Analysis ◽  
Brain Activity ◽  
Spontaneous Brain Activity ◽  
Hyperactivity Disorder

Mood Disorders (Major Depression, Bipolar Disorder)

2018 ◽  
pp. 637-652
Author(s):  
Nages Nagaratnam ◽  
Kujan Nagaratnam ◽  
Gary Cheuk
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Mood Disorders

scholarly journals Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment

2011 ◽  
Vol 26 (5) ◽  
pp. 636-643 ◽  
Author(s):  
María Andreina Méndez ◽  
Pilar Zuluaga ◽  
Roberto Hornero ◽  
Carlos Gómez ◽  
Javier Escudero ◽  
...  
Keyword(s):  
Complexity Analysis ◽  
Antidepressant Treatment ◽  
Brain Activity ◽  
Spontaneous Brain Activity

scholarly journals The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controls

2018 ◽  
Author(s):  
Jonathan R. I. Coleman ◽  
Héléna A. Gaspar ◽  
Julien Bryois ◽  
Gerome Breen ◽  
◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Major Depression ◽  
Depressive Disorder ◽  
Mood Disorders ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Genome Wide ◽  
Genome Wide Significance

AbstractBackgroundMood disorders (including major depressive disorder and bipolar disorder) affect 10-20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Despite their diagnostic distinction, multiple approaches have shown considerable sharing of risk factors across the mood disorders.MethodsTo clarify their shared molecular genetic basis, and to highlight disorder-specific associations, we meta-analysed data from the latest Psychiatric Genomics Consortium (PGC) genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; non-overlapping N = 609,424).ResultsSeventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More genome-wide significant loci from the PGC analysis of major depression than bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment – positive in bipolar disorder but negative in major depressive disorder.ConclusionsThe mood disorders share several genetic associations, and can be combined effectively to increase variant discovery. However, we demonstrate several differences between these disorders. Analysing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

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