scholarly journals Distinct neurostructural signatures of anxiety-, fear-related and depressive disorders: a comparative voxel-based meta-analysis

2021 ◽  
Author(s):  
Xiqin Liu ◽  
Benjamin Klugah-Brown ◽  
Ran Zhang ◽  
Jie Zhang ◽  
Benjamin Becker
Keyword(s):  
Anxiety Disorders ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Gray Matter Volume ◽  
Major Depressive ◽  
Panic Disorders ◽  
Lingual Gyrus ◽  
Structural Abnormalities ◽  
Generalized Anxiety Disorders ◽  
Left Insula

Internalizing disorders encompass anxiety, fear and depressive disorders. While the DSM-5 nosology conceptualizes anxiety and fear-related disorders as an entity, dimensional psychopathology models suggest that generalized anxiety disorders (GAD) and major depression originate from an overarching "anxious-misery" factor whereas fear-related disorders originate from the "fear" factor. Given that a neurobiological evaluation is lacking, we conducted a comparative neuroimaging meta-analysis of gray matter volume alterations to determine common and disorder-specific brain structural signatures in these disorders. The PubMed, Web of Knowledge, and Scopus databases were searched for case-control voxel-based morphometric studies through December, 2020 in GAD, fear-related anxiety disorders (FAD, i.e., social anxiety disorders, SAD; specific phobias, SP; panic disorders, PD; and agoraphobia, AG) and major depressive disorder (MDD). Neurostructural abnormalities were assessed within each disorder group followed by quantitative comparison and conjunction analyses using Seed-based d-Mapping (SDM-PSI). GAD (9 studies, 226 patients) showed disorder-specific decreased volumes in left insula (z=-2.98, pFWE-corrected <0.05) and lateral/medial prefrontal cortex (z=-2.10, pFWE-corrected<0.05,) as well as increased right putamen volume (z=1.86, pFWE-corrected<0.05) relative to FAD (10 SAD, 11 PD, 2 SP studies, 918 patients). Both GAD and MDD (46 studies, 2,575 patients) exhibited decreased prefrontal volumes compared to controls and FAD. While FAD showed less robust alterations in lingual gyrus (p < 0.0025, uncorrected), this group presented intact frontal integrity. No shared structural abnormalities were found. Unique clinical features characterizing anxiety-, fear-related and depressive disorders are reflected by disorder-specific neuroanatomical abnormalities. Targeting the disorder-specific neurostructural signatures could improve therapeutic efficacy.

scholarly journals Anxiety disorders: a review of current literature

2017 ◽  
Vol 19 (2) ◽  
pp. 87-88 ◽  
Keyword(s):  
Anxiety Disorders ◽  
Selective Serotonin Reuptake Inhibitors ◽  
Depressive Disorders ◽  
Social Model ◽  
Selective Serotonin ◽  
First Line ◽  
Panic Disorders ◽  
Generalized Anxiety Disorders ◽  
Current Guidelines ◽  
High Comorbidity

Anxiety disorders are the most prevalent psychiatric disorders. There is a high comorbidity between anxiety (especially generalized anxiety disorders or panic disorders) and depressive disorders or between anxiety disorders, which renders treatment more complex. Current guidelines do not recommend benzodiazepines as first-line treatments due to their potential side effects. Selective serotonin reuptake inhibitors and selective serotonin norepinephrine reuptake inhibitors are recommended as first-line treatments. Psychotherapy, in association with pharmacotherapy, is associated with better efficacy. Finally, a bio-psycho-social model is hypothesized in anxiety disorders.

scholarly journals Systematic review and meta-analysis of the prevalence of depressive symptoms, dysthymia and major depressive disorders among homeless people

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e040061
Author(s):  
Getinet Ayano ◽  
Asmare Belete ◽  
Bereket Duko ◽  
Light Tsegay ◽  
Berihun Assefa Dachew
Keyword(s):  
Systematic Review ◽  
Depressive Symptoms ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Random Effect ◽  
Homeless People ◽  
Sensitivity Analyses ◽  
Prevalence Rates ◽  
Major Depressive ◽  
Major Depressive Disorders

ObjectivesTo assess the global prevalence estimates of depressive symptoms, dysthymia and major depressive disorders (MDDs) among homeless people.DesignSystematic review and meta-analysis.Data sourcesDatabases including PubMed, Scopus and Web of Science were systematically searched up to February 2020 to identify relevant studies that have reported data on the prevalence of depressive symptoms, dysthymia and MDDs among homeless people.Eligibility criteriaOriginal epidemiological studies written in English that addressed the prevalence of depressive problems among homeless people.Data extraction and synthesisA random-effect meta-analysis was performed to pool the prevalence estimated from individual studies. Subgroup and sensitivity analyses were employed to compare the prevalence across the groups as well as to identify the source of heterogeneities. The Joanna Briggs Institute’s quality assessment checklist was used to measure the study quality. Cochran’s Q and the I2 test were used to assess heterogeneity between the studies.ResultsForty publications, including 17 215 participants, were included in the final analysis. This meta-analysis demonstrated considerably higher prevalence rates of depressive symptoms 46.72% (95% CI 37.77% to 55.90%), dysthymia 8.25% (95% CI 4.79% to 11.86%), as well as MDDs 26.24% (95% CI 21.02% to 32.22%) among homeless people. Our subgroup analysis showed that the prevalence of depressive symptoms was high among younger homeless people (<25 years of age), whereas the prevalence of MDD was high among older homeless people (>50 years of age) when compared with adults (25–50 years).ConclusionThis review showed that nearly half, one-fourth and one-tenth of homeless people are suffering from depressive symptoms, dysthymia and MDDs, respectively, which are notably higher than the reported prevalence rates in the general population. The findings suggest the need for appropriate mental health prevention and treatment strategies for this population group.

Age at menarche predicts age at onset of major affective and anxiety disorders

2017 ◽  
Vol 39 ◽  
pp. 80-85 ◽  
Author(s):  
L. Tondo ◽  
M. Pinna ◽  
G. Serra ◽  
L. De Chiara ◽  
R.J. Baldessarini
Keyword(s):  
Anxiety Disorders ◽  
Depressive Disorders ◽  
Age At Onset ◽  
Age Groups ◽  
Age At Menarche ◽  
Onset Age ◽  
Major Depressive ◽  
Illness Onset ◽  
Rural Environments ◽  
Menarche Age

AbstractBackgroundMenarche age has been associated inconsistently with the occurrence, timing or severity of major depressive disorder (MDD), but rarely studied in women with bipolar (BDs) or anxiety disorders.MethodsWe investigated women patients at a Sardinian mood disorder center for associations of age at menarche with age at illness onset for major affective or anxiety disorders, year of birth, and other selected factors, using bivariate comparisons and multivariate regression modeling.ResultsAmong women (n = 1139) with DSM-IV MDD (n = 557), BD-I (n = 223), BD-II (n = 178), or anxiety disorders (n = 181), born in 1904–1998, of mean age 42.9 years, menarche age averaged 12.8 [CI: 12.7–12.9] years. Illness onset age averaged 30.9 [30.1–31.8] years, ranking: BD-I, 25.8; anxiety disorders, 28.0; BD-II, 30.3; MDD, 34.1 years. Menarche age declined secularly over birth years, and was associated with younger illness-onset, having no or fewer siblings, more psychiatrically ill first-degree relatives, living in rural environments, being suicidal, substance abuse, and being unemployed. Earlier menarche and earlier illness-onset were significantly associated for onset age groups of ≤ 20, 20–39, and > 40 years. Menarche age versus diagnosis ranked: BD-II < BD-I < anxiety disorders < MDD.ConclusionsAge at menarche in Sardinia, as elsewhere, has declined over the past decades. It was strongly associated with age at onset of bipolar and anxiety, as well as major depressive disorders across the age range, suggesting sustained effects of biological maturational factors.

scholarly journals Microstructural deficits in the thalamus of major depressive disorder

2021 ◽  
Author(s):  
Pengfei Xu ◽  
Gangqiang Hou ◽  
Yuxuan Zhang ◽  
Yingli Zhang ◽  
Hui Ai ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Large Scale ◽  
Gray Matter Volume ◽  
Structural Connectivity ◽  
Brain Network ◽  
Microstructural Properties ◽  
Major Depressive ◽  
T1 Relaxation ◽  
Structural Abnormalities

Macroscopic structural abnormalities in the thalamus and thalamic circuits have been shown to contribute to the neuropathology of major depressive disorder (MDD). However, cytoarchitectonic properties underlying these macroscopic abnormalities remain unknown. The purpose of this study was to identify systematic deficits of brain architecture in depression, from structural brain network organization to microstructural properties. A multi-modal neuroimaging approach including diffusion, anatomical and quantitative magnetic resonance imaging (MRI) was used to examine structural-related alternations in 56 MDD patients compared with 35 age- and sex-matched controls. Structural networks were constructed and analyzed using seed-based probabilistic tractography. Morphometric measurements, including cortical thickness and voxel-based morphometry (VBM), were evaluated across the whole brain. A conjunction analysis was then conducted to identify key regions showing common structural alternations across modalities. The microstructural properties, macromolecular tissue volume (MTV) and T1 relaxation times of identified key regions were then calculated. Results showed multiple alterations of structural connectivity within a set of subcortical areas and their connections to cortical regions in MDD patients. These subcortical regions included the putamen, thalamus and caudate, which are predominately involved in the limbic-cortical-striatal-pallidal-thalamic network (LCSPT). Structural connectivity was disrupted within and between large-scale networks, mainly including subcortical networks, default mode networks and salience/ventral attention networks. Consistently, these regions also exhibited widespread volume reductions in MDD patients, specifically the bilateral thalamus, left putamen and right caudate. Importantly, the microstructural properties, T1 relaxation time of left thalamus were increased and negatively correlated with its gray matter volume in MDD patients. The present work to date sheds light on the neuropathological disruptions of LCSPT circuit in MDD, providing the first multi-modal neuroimaging evidence for the macro-micro structural abnormalities of the thalamus in patients with MDD. These findings have implications in understanding the abnormal changes of brain structures across development of MDD.

The Comorbidity of Anxiety Disorders with Depression and the Associated Risk Factors in Geriatric Psychiatry Outpatients

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
F. Beskardes ◽  
T. Ertan ◽  
E. Eker
Keyword(s):  
Risk Factors ◽  
Depressive Disorder ◽  
Anxiety Disorders ◽  
Depressive Disorders ◽  
Depression Scale ◽  
Geriatric Psychiatry ◽  
Major Depressive ◽  
Outpatient Unit ◽  
Prevalence Of Depression ◽  
Associated Risk Factors

Aims:We aimed to study the prevalence of anxiety disorders with the comorbidity of depressive disorders and the effects of risk factors among the patients attending the general Geriatric Psychiatry Outpatient Unit.Methods:Subjects were evaluated in terms of Anxiety Disorders on the basis of DSM criteria, SCID. Each patient was asked to fill out Spielberger State-Trait Anxiety Scale, Beck Anxiety and Depression Scale. Sociodemographic features and risk factors were assesed the prepared questionnaire.Results:In a number of total 1209 applicants in 12 months, we found the prevalance of anxiety disorders was %9,48 with a number of 115 patients in outpatient department applications and the prevalence of Generalized Anxiety Disorder was found out to be %4,63(n:56), Panic Disorder with Agoraphobia %1,98(n:24), without Agoraphobia %0,90(n:11), the prevalence of OCD was %0,82(n:10), PTSD %0,49(n:6) and other anxiety disorders (SAD, SP, NOS) was %0,66(n:8).In the patients with anxiety disorders, the prevalence of depression comorbidity was found out to be %73,05(n:84), with the prevalence of the comorbid major depressive disorder %26,1(n:31), and the dysthymic/minor depressive disorder was %46,95(n:53). As a result of statistical analysis,we found that the risk factors associated with STAI-I and II scores were total years spent on education, but in reverse manners, as the education level increased, the STAI-I and II scores decreased.Conclusions:Anxiety disorders with comorbid depression might be frequent disorders among Turkish secondary care attenders. There is a need for further studies on the epidemiology of anxiety disorders and their comorbidity with depression among elderly in Turkey.

Systematic Review and Meta-Analysis of Anxiety and Depression in Youth With Epilepsy

2020 ◽  
Vol 45 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Amelia J Scott ◽  
Louise Sharpe ◽  
Max Loomes ◽  
Milena Gandy
Keyword(s):  
Systematic Review ◽  
Anxiety Disorder ◽  
Anxiety Disorders ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Control Sample ◽  
Separation Anxiety Disorder ◽  
Anxiety And Depression ◽  
Healthy Controls ◽  
Pooled Prevalence

Abstract Objective The aim of this systematic review and meta-analysis was to provide an estimate of the prevalence of anxiety and depressive disorders in youth with epilepsy (YWE). It also aimed to calculate the overall magnitude of observed differences in anxiety and depressive symptoms reported by YWE compared with healthy controls and investigate whether any factors moderated anxiety and depression outcomes in YWE. Methods Following prospective registration, electronic databases were searched up until October 2018. Studies were included if they reported on the rate of anxiety or depression in samples of YWE, and/or if they used valid measures of anxious or depressive symptomatology in YWE compared with a healthy control sample. Results Twenty-three studies met inclusion criteria. The overall pooled prevalence of anxiety disorders in YWE was 18.9% (95% confidence interval [CI] 12.0%–28.5%), and for depression the pooled prevalence was 13.5% (95% CI 8.8%–20.2%). In samples of YWE compared with healthy controls, significantly higher anxiety (d = 0.57, 95% CI 0.32–0.83, p &lt; .000) and depressive (d = 0.42, 95% CI 0.16–0.68, p &lt; .000) symptomatology was reported. Conclusions YWE report anxiety and depressive disorders and symptoms to a significantly higher degree than youth without epilepsy. There is also evidence that certain anxiety disorders (e.g. generalized anxiety disorder, separation anxiety disorder) are particularly elevated, perhaps reflecting the unique impact of epilepsy on youth psychopathology. Research is needed to understand the risk factors associated with anxiety and depressive disorders in epilepsy, and better understand how these symptoms change across development.

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