Subtype Of Depressive Disorder Research Articles

Notable dysthymia: evolving trends of major depressive disorders and dysthymia in China from 1990 to 2019, and projections until 2030

BackgroundDepressive disorders have been identified as a significant contributor to non-fatal health loss in China. Among the various subtypes of depressive disorders, dysthymia is gaining attention due to its similarity in clinical severity and disability to major depressive disorders (MDD). However, national epidemiological data on the burden of disease and risk factors of MDD and dysthymia in China are scarce.MethodsThis study aimed to evaluate and compare the incidence, prevalence, and disability-adjusted life-years (DALYs) caused by MDD and dysthymia in China between 1990 and 2019. The temporal trends of the depressive disorder burden were evaluated using the average annual percentage change. The comparative risk assessment framework was used to estimate the proportion of DALYs attributed to risk factors, and a Bayesian age-period-cohort model was applied to project the burden of depressive disorders.ResultsFrom 1990 to 2019, the overall age-standardized estimates of dysthymia in China remained stable, while MDD showed a decreasing trend. Since 2006, the raw prevalence of dysthymia exceeded that of MDD for the first time, and increased alternately with MDD in recent years. Moreover, while the prevalence and burden of MDD decreased in younger age groups, it increased in the aged population. In contrast, the prevalence and burden of dysthymia remained stable across different ages. In females, 11.34% of the DALYs attributable to depressive disorders in 2019 in China were caused by intimate partner violence, which has increasingly become prominent among older women. From 2020 to 2030, the age-standardized incidence, prevalence, and DALYs of dysthymia in China are projected to remain stable, while MDD is expected to continue declining.ConclusionsTo reduce the burden of depressive disorders in China, more attention and targeted strategies are needed for dysthymia. It’s also urgent to control potential risk factors like intimate partner violence and develop intervention strategies for older women. These efforts are crucial for improving mental health outcomes in China.

An Effect of Chronic Negative Stress on Hippocampal Structures and Functional Connectivity in Patients with Depressive Disorder.

Depressive disorder is a mental health disorder with complicated etiopathogenesis. Environmental stress and neurodevelopment combined with other factors contribute to the occurrence of depression. Especially for the depressive disorder with chronic negative stress, it has characteristics of recurrence and poor curative effect because of unclear mechanism. Here, we investigated the hippocampal structures and functional connectivity (FC) according to resting-state functional magnetic resonance imaging in patients with depression who underwent chronic negative stress. A total of 65 patients with depression (34 underwent chronic negative stress and 31 non-underwent chronic negative stress) and 30 healthy controls who did not undergo chronic negative stress were included in the study. The volumes of hippocampal subfields, seed-based FCs between hippocampus and the whole brain voxels, and ROI-wise-based FC between hippocampal subfields were compared among the three groups. In the patients with depression who underwent chronic negative stress, the volumes of right_GC-ML-DG-head, right_CA4-head and right_CA3-head increased, FCs between Temporal_Mid_R, Precuneus_R, Frontal_Sup_R, Temporal_Sup_R, Angular_L, Frontal_Inf_Tri_R, Supp_Motor_Area_R, Precentral_L and hippocampus increased, and FCs between parasubiculum and CA3, and presubiculum and CA1 decreased. When compared to the patients who did not undergo chronic negative stress, the patients who underwent chronic negative stress had larger volumes of right_GC-ML-DG-head and right_CA3-head, higher FCs between Frontal_Sup_R, Frontal_Inf_Tri_R and hippocampus, and lower FCs between presubiculum and CA1. The depression underwent chronic negative stress may experience disrupted hippocampal structures and functional connectivity. It may be one of potential depressive disorder subtypes.

Tissue-specific gene expression of genome-wide significant loci associated with major depressive disorder subtypes

Major depressive disorder (MDD) is a clinically and genetically heterogeneous disorder. To reduce heterogeneity, large-scale genome-wide association studies have recently identified genome-wide significant loci associated with seven MDD subtypes. However, it was unclear in which tissues the genes near those loci are specifically expressed. We investigated whether genes related to specific MDD subtypes would be preferably expressed in a specific tissue. At 14 novel subtype-specific loci related to seven MDD subtypes—(1) non-atypical-like features MDD, (2) early-onset MDD, (3) recurrent MDD, (4) MDD with suicidal thoughts, (5) MDD without suicidal thoughts, (6) MDD with moderate impairment, and (7) postpartum depression, we investigated whether 22 genome-wide significant genetic variant-mapped genes were tissue-specifically expressed in brain, female reproductive, male specific, cardiovascular, gastrointestinal, or urinary tissues in the Genotype-Tissue Expression (GTEx) subjects (n ≤ 948). To confirm the tissue-specific expression in the GTEx, we used independent Human Protein Atlas (HPA) RNA-seq subjects (n ≤ 95). Of 22 genes, nine and five genes were tissue-specifically expressed in brain and female reproductive tissues, respectively (p < 2.27 × 10−3). RTN1, ERBB4, and AMIGO1 related to early-onset MDD, recurrent MDD, or MDD with suicidal thoughts were highly expressed in brain tissues (d = 1.19–2.71), while OAS1, LRRC9, DHRS7, PSMA5, SYPL2, and GULP1 related to non-atypical-like features MDD, early-onset MDD, MDD with suicidal thoughts, or postpartum depression were expressed at low levels in brain tissues (d = −0.17−−1.48). DFNA5, CTBP2, PCNX4, SDCCAG8, and GULP1, which are related to early-onset MDD, MDD with moderate impairment, or postpartum depression, were highly expressed in female reproductive tissues (d = 0.80–2.08). Brain and female reproductive tissue-specific expression was confirmed in the HPA RNA-seq subjects. Our findings suggest that brain and female reproductive tissue-specific expression might contribute to the pathogenesis of MDD subtypes.

Correlation of event-related potentials N170 with dysfunctional attitudes in patients with major depressive disorder

BackgroundCognitive impairment frequently accompanies first-episode major depressive disorder (MDD) in patients. Early detection and intervention for cognitive impairment can enhance the quality of life for individuals with depressive disorders. Impaired emotion recognition may serve as an initial manifestation of cognitive impairment in these patients. This study examines the characteristics of event-related potentials N170 and dysfunctional attitudinal questionnaire total scores, as well as each factor and their correlation, revealing characteristic electroencephalogram (EEG) changes associated with cognitive impairment in first-episode MDD patients. MethodA total of 88 patients experiencing first-episode MDD and 29 healthy volunteers from the same period participated in the study. They underwent event-related potential N170 measures to assess mood recognition function, the 17-item Hamilton depression scale (HAMD-17) to evaluate the severity of depressive disorder, and the Dysfunctional Attitudes Scales(DAS) to appraise cognitive function. ResultThe dysfunctional attitude questionnaire's total score and each factor score were higher in the MDD group compared to the healthy control (HC) group. The MDD group exhibited lower amplitudes than the HC group at CZ, PZ, POZ, P7, PO7, P8, and PO8 electrode points. A correlation was identified between the P7 and PO7 electrode points of the event-related potential N170 and cognitive function. LimitationThis study solely considered neutral face emotional stimuli and did not account for depressive disorder subtypes. ConclusionDifferences were observed between the MDD and HC groups in cognitive function and N170 amplitude in the central brain region (CZ, PZ, POZ), left posterior temporal region (P7), left occipitotemporal region (PO7), right posterior temporal region (P8), and right occipitotemporal region (PO8). Additionally, a correlation was found between N170 latency in the left posterior temporal region of the brain (P7) and the left occipitotemporal region (PO7) with cognitive function.

Objective polysomnography-based sleep features and major depressive disorder subtypes in the general population

Insomnia and its opposite hypersomnia are part of the diagnostic criteria for major depressive disorder (MDD). However, no study has investigated whether the postulated sleep alterations in clinical subtypes of MDD are reflected in polysomnography (PSG)-derived objective sleep measures. The objective of this study was to establish associations between the melancholic, atypical and unspecified subtypes of MDD and objective PSG-based sleep features. This cross-sectional analysis included 1820 community-dwelling individuals who underwent PSG and a semi-structured psychiatric interview to elicit diagnostic criteria for MDD and its subtypes. Adjusted robust linear regression was used to assess associations between MDD subtypes and PSG-derived objective sleep measures. Current melancholic MDD was significantly associated with decreased absolute delta power and sleep efficiency and with increased wake after sleep onset. Remitted unspecified MDD was significantly associated with increased rapid eye movements density. No other significant associations were identified. Our findings reflect that some PSG-based sleep features differed in MDD subtypes compared with no MDD. The largest number of significant differences were observed for current melancholic MDD, whereas only rapid eye movements density could represent a risk factor for MDD as it was the only sleep measure that was also associated with MDD in remitted participants.

P300 event-related potentials in patients with different subtypes of depressive disorders.

To explore the differences in event-related potentials (ERPs) of the subclinical types of major depressive disorders (MDD): melancholic (MEL), atypical (ATY), and anxious (ANX). Patients with MDD treated in the Clinical Department of Shanghai Mental Health Center between September 2017 and December 2020 were prospectively included. This study was approved by the Ethics Committee of the Shanghai Mental Health Center. They were evaluated using the Mini-International Neuropsychiatric Interview (MINI), 17-item Hamilton Depression Scale (HAMD-17), 30-item Self-rated Inventory of Depressive Symptomatology (IDS-30SR), 16-item Quick Inventory of Negative Symptom Scale (QIDS-16SR), and auditory and visual P300 ERPs. Finally, 27, 14, and 20 patients with MEL, ATY, and ANX MDD were included in this study, respectively. There were no significant differences in demographic characteristics and HAMD-17, IDS-30SR, and QIDS-16SR total scores among the three groups (all P > 0.05). On the C3 lead, the latency for patients with MEL MDD was the longest, and the latency for patients with ATY MDD was the shortest (MEL vs. ATY vs. ANX: 373.89 ± 6.60 vs. 344.79 ± 9.78 vs. 359.33 ± 7.62, P = 0.039). On the Pz lead, the latency for patients with MEL MDD was the longest, and the latency for patients with ATY MDD was the shortest (MEL vs. ATY vs. ANX: 376.14 ± 6.51 vs. 347.21 ± 9.42 vs. 362.22 ± 8.63, P = 0.047). There were no differences in visual P300 ERPs among the three groups. There are significant differences in auditory C3 and Pz latency among MEL, ATY, and ANX MDD. These differences could help diagnose the subtype of MDD.

Neutrophil/lymphocyte, platelet/lymphocyte, monocyte/lymphocyte ratios and systemic immune-inflammation index in patients with depression.

Evidence suggest immunity abnormalities and inflammation might play an important role in the pathophysiology of depression. This study explored the relationship between inflammation and depression using neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) as inflammatory markers. We collected the full blood count results of 239 patients with depression and 241 healthy controls. Patients were divided into three diagnostic subtype groups: severe depressive disorder with psychotic symptoms, severe depressive disorder without psychotic symptoms, and moderate depressive disorder. We analyzed the Participants' neutrophil (NEU), lymphocyte (LYM), monocyte (MON), and platelet (PLT) counts, compared the differences in NLR, MLR, PLR and SII, and explored the relationships between depression and these indicators. There were significant differences in PLT, MON, NEU, MLR, and SII among the four groups. MON and MLR were significantly higher in three groups of depressive disorders. SII was significantly increased in two severe depressive disorder groups, while the SII in the moderate depressive disorder group showed an increasing trend. Increased MON, MLR and SII, as signs of inflammatory response, were not different among three subtypes of depressive disorders, and may be biological indictors of depressive disorders (Tab. 1, Ref. 17). Text in PDF www.elis.sk Keywords: depression, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII).

Personality subtypes of depressive disorders and their functional connectivity basis

Personality subtypes of depressive disorders and their functional connectivity basis

Perspectives on the success rate of current antidepressant pharmacotherapy

ABSTRACT Introduction There has been growing debate about the effectiveness of traditional antidepressants for the treatment of depression, and whether the clinical trials literature overstates the value of existing agents. Antidepressant efficacy is limited by suboptimal remission rates, lack of robust efficacy across diverse depressed subgroups, slow onset, and challenges managing tolerability. Clinicians can better navigate uncertainties in this area by recognizing patient-specific clinical and prognostic factors that influence the likelihood of antidepressant drug response. Areas covered The author summarizes pertinent literature regarding drug-placebo differences in antidepressant outcome as well as patient-specific factors that influence antidepressant drug responsivity across subtypes of depressive disorders. Expert opinion Standardized effect sizes for most monoaminergic antidepressants are relatively modest. At least one-third of treatment response derives from nonspecific (yet substantial) placebo effects, limiting the ability to compare antidepressant medication effects to that of ‘no treatment.’ Patients with high baseline depressive symptom severity are less likely to respond to placebo but may be more responsive to antidepressant pharmacotherapy than is the case in mild forms of depression. Patient satisfaction with antidepressant response must take into consideration not only efficacy for reducing symptoms but also drug tolerability/acceptability and tangible improvement in functional outcome and quality of life.

Risk factors for suicidal attempt in patients with the melancholic subtype of depressive disorder: Implication for nursing care.

The incidence of suicide in patients with depressive order is much higher than other population. We aimed to evaluate the current status and risk of suicidal attempt in patients with the melancholic subtype of depressive disorder, to provide evidence for the clinical management and nursing care of depressive disorder.Patients diagnosed as the melancholic subtype of depressive disorder and treated in our hospital from June 1, 2018 to August 31, 2021 were included. The characteristics of included patients were collected and analyzed. Pearson correlation analysis and logistic regression analysis with odd ratio and 95% confidence interval were conducted to analyze the influencing factors of suicidal attempt in patients with the melancholic subtype of depressive disorder.A total of 446 patients with melancholic subtype of depressive disorder were included, the incidence of suicidal attempt was 18.83%. Pearson correlation analysis indicated that gender (R = 0.611), alcohol drinking (R = 0.719), living situation (R = 0.812), number of previous admission to hospital (R = 0.547), sleep disorder (R = 0.612) and frequent depressive episodes (R = 0.559) were all correlated with the suicidal attempt in patients with melancholic subtype of depressive disorder (all P < 0.05). Logistic regression analysis showed that female (OR 3.115, 95%CI 2.493–3.906), alcohol drinking(OR 1.946, 95%CI 1.684–2.763), living alone (OR 2.401, 95%CI 1.915–3.008), number of previous admission to hospital ≥ 3 (OR 2.342, 95%CI 1.601–2.742), sleep disorder (OR 1.821, 95%CI 1.328–2.215) and frequent depressive episodes (OR 3.128, 95%CI 2.421–3.779) were the independent risk factors of suicidal attempt (all P < 0.05).Suicidal attempt is common in the patients with melancholic subtype of depressive disorder, and there are many related risk factors for suicidal attempt in patients with the melancholic subtype of depressive disorder.

The Relationship Between Prescription Patterns and Symptom-Based Subtypes of Depression Using Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF) Specific Problems Scales in Korean Clinical Sample

We derived five heterogeneous subtypes for 473 Korean depressive disorder patients through a latent profile analysis using the specific problems scale of the Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF), which we used in a previous study (Choi, 2019). In this study, we attempted to confirm the clinical usefulness of specific problem scales by comparing the drug prescription patterns of the five derived subtypes: mild, helpless, somatic, avoidant with anxiety, and irritable with anxiety. Through retrospective medical records of 473 patients with depressive disorder, we investigated their demographic variables, hospitalizations, and prescriptions during the initial, third, and sixth months of treatment. There was a significant difference among the groups in the number of antidepressants prescribed initially and in the third months of treatment. Additionally, we noted differences in antipsychotics prescription in months three and six and sedative/hypnotics prescription in month six. The study results confirmed that the subtypes of depressive disorder based on specific problem scales of the MMPI-2-RF were associated with prescription patterns and clinical course. This finding suggests that subtyping based on multidimensional symptoms, not just the main symptoms of depression, may be useful in establishing a focused treatment plan tailored to the individual characteristics of patients in the initial phase of treatment.

Anxiety-depressive disorders in obese patients

The likelihood of developing major depressive disorder (MDD) and anxiety (T) increases with the number of comorbid metabolic disorders, such as dyslipidemia, insulin resistance, hypertension (AH), and obesity. Research indicates that long-term inflammation caused by reduced physical activity, sedentary behavior, and poor eating habits is necessary for this connection to occur, which in turn can lead to metabolic disorders. The aim of our study was to identify possible anxiety-depressive disorders in obese patients and to investigate the prevalence of such disorders in patients of the Odesa region. According to the research design, 67 obese patients who were treated at the Department of Family Medicine and Polyclinic Therapy of Odesa National Medical University were examined. Patients included in our study were asked to undergo an examination according to a generally accepted algorithm, an anthropometric examination to calculate BMI and determine the content of visceral fat. In addition, patients were asked to complete a series of questionnaires, namely: the physical activity level questionnaire, the HADS Hospital Anxiety and Depression Scale, the Beck Depression Scale, the Generalized Anxiety Disorder Questionnaire (GAD-7), the PHQ-9 questionnaire, and the M.I.N.I. (International Neuropsychiatric Questionnaire). As a result of taking anamnesis, it was established that the vast majority had comorbid diseases in the form of: hypertension - 36 patients (56.72%), type 2 diabetes - 29 patients (43.28%), prediabetes - 15 (22.39%), dyslipidemia was diagnosed in 39 patients (58.21%). Questionnaire M.I.N.I. was used by us to determine the subtype of depressive disorder in our patients. Thus, we found that the most common subtypes were: ADHD (26.87%), depressive disorder with melancholia (16.42%) and dysthymia (17.91%). In our opinion, it is appropriate to use psychological questionnaires in the practice of doctors of various specialties who interact with patients living with obesity. When patients with TDD are identified using diagnostic screening, namely questionnaires, they should be referred for further consultation with a psychotherapist.

Korean Medication Algorithm for Depressive Disorder 2021, Fourth Revision: An Executive Summary.

ObjectiveIn the 19 years since the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders developed the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) in 2002, four revisions have been conducted.MethodsTo increase survey efficiency in this revision, to cover the general clinical practice, and to compare the results with previous KMAP-DD series, the overall structure of the questionnaire was maintained. The six sections of the questionnaire were as follows 1) pharmacological treatment strategies for major depressive disorder (MDD) with/without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus for treatment-resistant depression; 4) the choice of an antidepressant in the context of safety, adverse effects, and comorbid physical illnesses; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-pharmacological biological therapies. Recommended first-, second-, and third-line strategies were derived statistically.ResultsThere has been little change in the four years since KMAP-DD 2017 due to the lack of newly introduced drug or treatment strategies. However, shortened waiting time between the initial and subsequent treatments, increased preference for atypical antipsychotics (AAPs), especially aripiprazole, and combination strategies with AAPs yield an active and somewhat aggressive treatment trend in Korea.ConclusionWe expect KMAP-DD to provide clinicians with useful information about the specific strategies and medications appropriate for treating patients with MDD by bridging the gap between clinical real practice and the evidence-based world.

Short-term and long-term effects of major depressive disorder subtypes on obesity markers and impact of sex on these associations

BackgroundOnly a few studies with conflicting results have examined the effects of sex on the prospective association between depression and subsequent obesity. Objective(1) To simultaneously assess the associations of the subtypes (atypical, melancholic, unspecified) of major depressive disorder (MDD) measured at baseline and subtypes of major depressive episodes (MDE) that emerged during a 5.5-year follow-up with changes in obesity markers (body mass index, waist circumference, fat mass) during this follow-up, and (2) to test the effect of sex on these associations. MethodsData from CoLaus|PsyCoLaus, a population-based cohort study including 2702 participants (50.1% women, mean age 49.6 years). Criteria for mental disorders were elicited using semi-structured interviews. ResultsHistory of atypical MDD at baseline was associated with a steeper increase in BMI and waist circumference, whereas atypical MDE during follow-up was associated with a steeper increase in the three studied obesity markers. Melancholic MDD at baseline was associated with a steeper increase in BMI. Several significant interactions with sex were found indicating higher increase in fat mass in men than in women following melancholic MDD reported at baseline, higher decrease in BMI and fat mass in women than in men related to melancholic MDE emerging during follow-up and higher increase in waist circumference in men than in women following unspecified MDD reported at baseline. LimitationsUrban sample which may not be representative for the whole population. ConclusionsOur results further advocate for the specific need of a thorough monitoring of obesity markers in patients with atypical MDD and suggest less favorable obesity marker changes mainly related to melancholic MDE in men.

Major depressive disorder: a possible typisation according to serotonin, inflammation, and metabolic syndrome.

Major depressive disorder (MDD) is closely related to obesity, inflammation, and insulin resistance, all together being etiologically linked to metabolic syndrome (MetS) development. The depressive disorder has a neuroendocrinological component, co-influencing the MetS, while MetS is characterised by increased cytokine levels, which are known to cause a depressed mood. This study aimed to establish biological subtypes of the depressive disorder based on researched clinical, laboratory, and anthropometric variables. We performed a cross-sectional study on a sample of 293 subjects (145 suffering from a depressive disorder and 148 healthy controls). Results were analysed with multivariate statistical methods as well as with cluster and discriminant analysis. In order to classify depressive disorder on the grounds of laboratory, anthropometric, and clinical parameters, we performed cluster analysis, which resulted in three clusters. The first cluster is characterised by low platelet serotonin, high cortisol levels, high blood glucose levels, high triglycerides levels, high Hamilton Depression Rating Scale score, high waist circumference, high C-Reactive Protein values, and a high number of previous depressive episodes, was named Combined (Metabolic) depression. The inflammatory depression cluster is defined with average platelet serotonin values, normal cortisol, and all other parameter levels, except for increased IL-6 levels. The serotoninergic depression cluster is characterised by markedly low platelet serotonin, and all other parameters are within the normal range. From a biological point of view, depressive disorder is not uniform, and as such, these findings suggest potential clinically useful and generalisable biological subtypes of depressive disorder.

Neurophysiological Subtypes of Depressive Disorders

Background: the clinical polymorphism of depressive disorders, together with the available data on the different responses of patients to treatment, motivate modern neuroscience to search for models that can explain such heterogeneity.Objective: to identify neurophysiological subtypes of depressive disorders.Patients and methods: 189 patients with moderate depression in the structure of a depressive episode (n = 42), recurrent depressive (n = 102) and bipolar affective disorders (n = 45); 56 healthy subjects. Clinical-psychopathological, psychometric, neurophysiological and statistical research methods were used in the work.The results: with the help of coherent EEG analysis, it is possible to identify at least 6 subtypes of the disorder, which characterize various branches of the pathogenesis of affective pathology, which go beyond the currently accepted nomenclature. The selected subtypes were determined by the profi les of dysfunctional interaction of various cortical zones in the alpha, beta and gamma ranges of the EEG. Subtype 1 was characterized by a decrease relative to the norm of imaginary alpha-coherence between the right parietal and left central, right parietal and left anterior temporal, as well as the right parietal and right anterior temporal EEG leads (P4-C3, P4-F7, P4-F8) and explained part of depressions, in the pathogenesis of which the leading role was played by violations of the promotion of positive and suppression of negative affect. Subtype 2 — an increase in beta-2-imaginary-coherence between the frontal leads of the left and right hemispheres, between the left frontal and right central cortex (F3-F4; F3-C4) and its decrease between the central cortical zones (C4-C3), in clinical terms this subtype was characterized by a persistent hedonic response and was associated with the clinical picture of atypical depression. Subtype 3 — an increase in imaginary alpha-coherence between the frontal (F4-F3) and its decrease between the central leads of the left and right hemisphere (C4-C3), correlated with the severity of depressive rumination. Subtype 4 — a decrease in imaginary alpha-coherence between the anterior temporal and frontal, as well as the anterior temporal and central cortex of the right hemisphere (F8-F4 and F8-C4), explained part of the depressions that developed against the background of avoidance personality disorder. Subtype 5 — a decrease in imaginary gamma coherence between the frontal and parietal, as well as the central and occipital cortical zones of the left hemisphere (F3-P3 and C3-O1), was associated with an outwardly oriented utilitarian style of thinking (alexithymia). Subtype 6 — a decrease in imaginary beta-1 coherence between the left central and right anterior temporal cortex (C3-F8), explained part of the depression with phobic and hypochondriacal disorders in the structure of recurrent depressive disorder. Such a clinical and biological typology seems new and promising in terms of searching for specifi c neurophysiological disorders in different types of depression and, accordingly, reaching differentiated therapeutic recommendations.

Major depressive disorder subtypes and depression symptoms in multiple sclerosis: What is different compared to the general population?

ObjectiveTo compare and characterize major depressive disorder (MDD) subtypes (i.e., pure atypical, pure melancholic and mixed atypical-melancholic) and depression symptoms in persons with multiple sclerosis (PwMS) with persons without MS (Pw/oMS) fulfilling the DSM-5 criteria for a past 12-month MDD. MethodsMDD in PwMS (n = 92) from the Swiss Multiple Sclerosis Registry was compared with Pw/oMS (n = 277) from a Swiss community-based study. Epidemiological MDD diagnoses were based on the Mini-SPIKE (shortened form of the Structured Psychopathological Interview and Rating of the Social Consequences for Epidemiology). Logistic and multinomial regression analyses (adjusted for sex, age, civil status, depression and severity) were computed for comparisons and characterization. Latent class analysis (LCA) was conducted to empirically identify depression subtypes in PwMS. ResultsPwMS had a higher risk for the mixed atypical-melancholic MDD subtype (OR = 2.22, 95% CI = 1.03–4.80) compared to Pw/oMS. MDD in PwMS was specifically characterized by a higher risk of the two somatic atypical depression symptoms ‘weight gain’ (OR = 6.91, 95% CI = 2.20–21.70) and ‘leaden paralysis’ (OR = 3.03, 95% CI = 1.35–6.82) and the symptom ‘irritable/angry’ (OR = 3.18, 95% CI = 1.08–9.39). ConclusionsMDD in PwMS was characterized by a higher risk for specific somatic atypical depression symptoms and the mixed atypical-melancholic MDD subtype. The pure atypical MDD subtype, however, did not differentiate between PwMS and Pw/oMS. Given the high phenomenological overlap with MS symptoms, the mixed atypical-melancholic MDD subtype represents a particular diagnostic challenge.

Features of minor depressive disorder subtypes in conditions of COVID-19 pandemic.

Background:The continuous research on minor depressive disorder is one of the pressing issues in the context of the COVID-19 pandemic. We studied the features of minor depressive disorder subtypes in conditions of the COVID-19 pandemic.Materials and Methods:Sixty-two patients were observed with the administration of clinical follow-up research method.Results:The following major subtypes of minor depressive disorder were identified: Asthenic, hysterical, hypochondriacal, apathetic, and minor depressive disorder with obsessive–compulsive symptoms.Conclusions:The COVID-19 pandemic lead to an increase in the development of the minor depressive disorder with a predominance of asthenic and obsessive-phobic symptoms. Therapy of minor depressive disorder requires the involvement of a wide range of specialists, preferably with the inclusion of community-based treatment.

Major depression subtypes are differentially associated with migraine subtype, prevalence and severity.

Migraine and major depressive disorder show a high rate of comorbidity, but little is known about the associations between the subtypes of major depressive disorder and migraine. In this cross-sectional study we aimed at investigating a) the lifetime associations between the atypical, melancholic, combined and unspecified subtype of major depressive disorder and migraine with and without aura and b) the associations between major depressive disorder and its subtypes and the severity of migraine. A total of 446 subjects with migraine (migraine without aura: n = 294; migraine with aura: n = 152) and 2511 controls from the population-based CoLaus/PsyCoLaus study, Switzerland, were included. Associations between major depressive disorder subtypes and migraine characteristics were tested using binary logistic or linear regression. Melancholic, combined and unspecified major depressive disorder were associated with increased frequency of migraine with aura, whereas only melancholic major depressive disorder was associated with increased frequency of migraine without aura. Lifetime and unspecified major depressive disorder were associated with severe migraine intensity among subjects with migraine with aura but not migraine without aura, while combined major depressive disorder was associated with higher migraine frequency independently from migraine subtype. This study suggests that melancholic but not atypical major depressive disorder is associated with migraine and migraine subtypes. Future studies exploring pathophysiological mechanisms shared between melancholic depression and migraine are warranted.

Striving for a Fuller Characterization of the Cellular Neuropathology of Depression Subtypes

Background: The diagnosis of depression is not only highly prevalent but also remarkable heterogeneous symptomatically. Only a few symptoms are considered common to most presentations of depression, while others form various combinations to define subtypes of depressive disorder. Most antemortem neuroimaging studies and postmortem neurochemical and cellular research have demonstrated significant structural, functional and cellular alterations shared by a majority of subjects with depression. However, it seems very likely that identifying relevant etiological factors and cellular mechanisms associated with the specific neuropathology of depression subtypes may help to focus or individualize depression treatments. Objective: The main aim of this review article is to point to the need of studying those differential cellular mechanisms characterizing different subtypes of depression as they relate to relevant neural circuits. Method: The review is based on a literature search using mainly PubMed and Google Scholar databases. Articles were considered relevant if they contained studies relating depression subtypes (or distinct symptom clusters) to neuroimaging or neuropathological parameters. Results and Conclusions: Antemortem quantification in psychiatric diagnostic scales and neuroimaging studies, with their larger number of subjects, have started to identify functional differences that discriminate depression subtypes. However, characterization of cellular and neurochemical pathology in neurons and glial cells has yet to be directed to uncover molecular and cellular mechanisms in relevant brain centers and circuits differentially affected in depression subtypes. Identifying these mechanisms will depend on our ability to first sort out cellular alterations by combining postmortem and animal model studies of depression subtypes. Keywords: Depression, pathology, neuroimaging, neuroanatomy, subtypes, glia.