Journal of affective disorders最新文献

Background: Misophonia is a complex disorder characterized by a strong aversion to specific sounds, leading to significant distress and impairment. While the Duke Misophonia Questionnaire (DMQ) is one of the most comprehensive and validated measures for assessing misophonia, the relative importance of specific subscales and items within the DMQ remains unclear. Network analysis enables an understanding of the interconnections among subscales, providing insights into which parts of the measure are most central to the others. This study employed network analysis to examine the interconnections among DMQ subscales and identify the most central components of misophonia symptomatology.

Methods: Network analysis was conducted on DMQ data from 144 adults with varying levels of misophonia symptoms. Four network models were examined: overall misophonia, symptoms, beliefs, and impairment. Sex differences were also explored.

Results: The Impairment subscale emerged as the most central in the overall network for both males and females. Key items included cognitive reactions ("I need to get away from the sound," "I thought about physically hurting the person making the sound") as well as affective reactions (panic, anger) in the symptom sub-network, non-acceptance of misophonia beliefs ("I hate being like this") in the belief sub-network, and deterioration of self-esteem due to misophonia in the impairment sub-network. Females reported more severe cognitive and physiological symptoms than males.

Conclusions: The DMQ Impairment subscale and specific items identified as most central in each network may represent key aspects of misophonia symptomatology. Prioritizing these components in assessment and intervention efforts may be beneficial when appropriate.

Pediatric autoimmune neuropsychiatric disorder (PANDAS) is characterized by sudden, dramatic onset obsessive-compulsive disorder (OCD) following a Group A Streptococcus infection. Pediatric acute neuropsychiatric syndrome (PANS) refers to sudden, dramatic onset OCD and/or restricted eating triggered by infections and other inflammatory reactions. A variety of treatments have been utilized for PANS/PANDAS; however, there is no "gold standard" intervention protocol. Parental expectations of a given treatment have been found to improve a child's overall treatment experience; however, parent attitudes towards PANS/PANDAS treatments are unknown, which was the purpose of this study. An online survey was distributed to 208 parents of children with self-reported PANS/PANDAS. Treatments were grouped together within overarching categories (i.e., psychotherapy, psychiatric/psychotropic, inflammation/infection mitigation, supplements, lifestyle changes, and surgery). Categorically, parents rated inflammation/infection mitigation interventions and lifestyle changes as most appropriate, and psychiatric/psychotropic interventions as least appropriate. At the individual level, treatments including antibiotics, non-steroidal anti-inflammatory drugs, intravenous immunoglobulin, and family counseling received ratings between "appropriate" and "extremely appropriate" Alternatively, treatments including deep brain stimulation, transcranial magnetic stimulation, antidepressant medications, and exposure and response prevention received ratings between "inappropriate" and "extremely inappropriate." Study limitations include a lack of gender and race representation in our sample. Findings indicate a need for dissemination of current, relevant research to the parent population as well as further examination of the parent experience throughout onset, diagnosis, and treatment.

Background: Adverse childhood experiences (ACEs) are traumatic events that occur early in life and can have lasting effects on health and well-being. Previous research has linked ACEs to substance use in adulthood, but there is limited research on the underlying mechanisms or pathways of this relationship. This study explores whether depression mediates the relationship between ACEs and current substance use among U.S. adults.

Methods: Data were obtained from the 2021 Behavioral Risk Factor Surveillance System (n = 30,978). Generalized Structural Equation Modeling was used to examine the links between ACEs, cigarette, e-cigarette, and marijuana use while adjusting for sociodemographic characteristics.

Results: Approximately 71 % of respondents reported experiencing at least one ACE. The findings show that depressive disorders mediate the relationship between ACEs and current substance use among U.S. adults. There was a significant indirect effect of ACEs on current cigarette use (OR = 1.13, 95 % CI [1.10, 1.16]), e-cigarette use (OR = 1.17, 95 % CI [1.12-1.22]), and marijuana use (OR = 1.22, 95 % CI [1.13, 1.33]) through the mediator of depressive disorders. Additionally, the most pronounced effects were found among those aged 18-24 years for cigarette use (OR = 1.32, 95 % CI [1.11, 1.56]), e-cigarette use (OR = 1.22 [1.09, 1.36]), and especially marijuana use (OR = 1.52 [1.18, 1.96]).

Conclusion: These findings suggest that depression may be a key pathway from negative experiences during childhood to certain types of substance use in adulthood, particularly among young adults.

Background: Human body odors (BOs) serve as an effective means of social communication, with individuals exposed to emotional BOs experiencing a partial replication of the sender's affective state. This phenomenon may be particularly relevant in conditions where social interactions are impaired, such as social anxiety. Our study aimed to investigate if emotional human BOs could augment the benefits of mindfulness-based interventions.

Methods: We enrolled 48 women with social anxiety symptoms and assigned them to groups exposed to happiness BO, fear BO, or clean air. Participants engaged in mindfulness practice over two consecutive days, which included breathing, meditation, and relaxation exercises. During these interventions, the odor specific to each group was presented. Affective symptoms were assessed at the beginning and end of each day, with heart rate variability (HRV) and skin conductance level (SCL) recorded during the intervention.

Results: Self-reported anxiety level revealed a significant reduction in anxiety on the second day for both happiness and fear conditions, but not for the clean air group. However, on a physiological level, fear BO exposure compared to clean air led to decreased HRV, indicating that fear BO may induce a less physiological relaxed state. No significant differences were observed in SCL between odor conditions.

Conclusions: These findings suggest that exposure to BOs triggers the perception of a "social presence", improving the ecological validity of a psychological treatment. If replicated and expanded, these findings could pave the way for using BOs as catalysts in existing therapies.

Background: Recently, we showed that Metacognitive Interpersonal Therapy (MIT) is effective in improving clinical symptoms in borderline personality disorder (BPD). Here, we investigated whether the effect of MIT on clinical features is associated to microstructural changes in brain circuits supporting core BPD symptoms.

Methods: Forty-seven BPD were randomized to MIT or structured clinical management, and underwent a clinical assessment and diffusion-weighted imaging before and after the intervention. Fractional anisotropy (FA), mean, radial, and axial diffusivities maps were computed using FSL toolbox. Microstructural changes were assessed (i) voxel-wise, with tract based spatial statistics (TBSS) and (ii) ROI-wise, in the triple network system (default mode, salience, and executive control networks). The effect of MIT on brain microstructure was assessed with paired tests using FSL PALM (voxel-wise), Linear Mixed-Effect Models or Generalized Linear Mixed Models (ROI-wise). Associations between microstructural and clinical changes were explored with linear regression (voxel-wise) and correlations (ROI-wise).

Results: The voxel-wise analysis showed that MIT was associated with increased FA in the bilateral thalamic radiation and left associative tracts (p < .050, family-wise error rate corrected). At network system level, MIT increased FA and both interventions reduced AD in the executive control network (p = .05, uncorrected).

Limitations: The DTI metrics can't clarify the nature of axonal changes.

Conclusions: Our results indicate that MIT modulates brain structural connectivity in circuits related to associative and executive control functions. These microstructural changes may denote activity-dependent plasticity, possibly representing a neurobiological mechanism underlying MIT effects.

Trial registration: ClinicalTrials.govNCT02370316 (https://clinicaltrials.gov/study/NCT02370316).

Background: Mixed depression (MXD), defined as (hypo)manic symptoms occurring within major depressive episodes, is common in both bipolar and unipolar disorders, but its prognostic and treatment implications remain unclear. This study aimed to examine the relationship between hypomanic symptoms, treatment response and remission of suicidal thoughts.

Methods: We analyzed 1243 adults with major depressive disorder (MDD), recruited for a naturalistic study on treatment-resistant depression. Data were gathered cross-sectionally and retrospectively through structured interviews and clinical rating scales including the Young Mania Rating Scale (YMRS) and Montgomery-Asberg Depression Rating Scale (MADRS); statistical analyses were performed using univariate and multivariate methods.

Results: Hypomanic symptoms were present in 651 patients (45 %), while 307 patients (25 %) responded to treatment. Both treatment responders (p < 0.0001) and those who achieved remission from suicide ideation (p = 0.0085) showed lower hypomanic (YMRS) scores. Multivariate analysis showed that hypomanic symptoms were negatively linked to treatment response (O.R. 0.71-0.87), while bipolar spectrum markers such as age at illness onset (O.R. 1.00-1.03) and MDD recurrence (O.R. 0.47-0.89) predicted remission from suicidal thoughts. Medications commonly used to treat bipolar disorder showed some benefits, with dopamine/serotonin antagonists improving suicide ideation (p < 0.0001) and mood stabilizers being associated with reduced hypomanic symptoms (p = 0.0003).

Limitations: The study lacked prospective clinical assessments and treatment randomization.

Conclusion: Hypomanic symptoms are common in unipolar depression; their assessment is essential to identify challenging-to-treat cases and select the best pharmacological options.

Background: Compared to functional magnetic resonance imaging (fMRI), source localization of a scalp-recorded electroencephalogram (EEG) provides higher temporal resolution and frequency synchronization to better understand the potential neurophysiological origins of disrupted functional connectivity (FC) in major depressive disorder (MDD). The present study aimed to investigate EEG-sourced measures to examine the FC in drug-free patients with MDD.

Method: Resting-state 32-channel EEG were recorded in 84 drug-free patients with MDD and 143 healthy controls, and the cortical source signals were estimated. Exact low-resolution brain electromagnetic tomography (eLORETA) was used to compute the intracortical activity from regions within the default mode network (DMN) and frontoparietal network (PFN). Lagged phase synchronization was used as a measure of functional connectivity.

Results: Compared with control subjects, the MDD group showed greater within-DMN alpha 1 and 2 bands and within-FPN alpha 1, 2, and beta 3 bands. Furthermore, the MDD group showed hyperconnectivity between the DMN and the FPN in the alpha 1 and 2 bands. Finally, higher levels of anhedonia were associated with higher between-network DMN and FPN connectivity in the alpha-1 band.

Limitations: Due to the inherent limitations of eLORETA with predefined seeds, we could not exclude connectivity between regions of interest (ROIs), which may be related to the activity from regions adjacent to the ROIs.

Conclusions: The present findings support the importance of phase-lagged functional dysconnectivity in the neurophysiological mechanisms underlying MDD. Exploring the potential of these patterns as surrogates for treatment responses may advance targeted interventions for depression.