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Npj Mental Health Research Jun 2024Repetitive transcranial magnetic stimulation (rTMS) is an established non-invasive brain stimulation treatment for major depressive disorder, but there is marked...
Repetitive transcranial magnetic stimulation (rTMS) is an established non-invasive brain stimulation treatment for major depressive disorder, but there is marked inter-individual variability in response. Using latent class growth analysis with session-by-session patient global impression ratings from the recently completed BRIGhTMIND trial, we identified five distinct classes of improvement trajectory during a 20-session treatment course. This included a substantial class of patients noticing delayed onset of improvement. Contrary to prior expectations, members of a class characterised by early and continued improvement showed greatest inter-session variability in stimulated location. By relating target locations and inter-session variability to a well-studied atlas, we estimated an average of 3.0 brain networks were stimulated across the treatment course in this group, compared to 1.1 in a group that reported symptom worsening (p < 0.001, d = 0.893). If confirmed, this would suggest that deliberate targeting of multiple brain networks could be beneficial to rTMS outcomes.
PubMed: 38937580
DOI: 10.1038/s44184-024-00077-8 -
Behavior Therapy Jul 2024Prior research suggests that the effects of specific cognitive-behavioral therapy (CBT) modules on symptom outcomes can be estimated. We conducted a study utilizing...
Prior research suggests that the effects of specific cognitive-behavioral therapy (CBT) modules on symptom outcomes can be estimated. We conducted a study utilizing idiographic and nomothetic methods to clarify which CBT modules are most effective for youth depression, and for whom they are most effective. Thirty-five youths received modular CBT for depression. Interrupted time series models estimated whether the introduction of each module was associated with changes in internalizing symptoms, whereby significant symptom reduction would suggest a therapeutic response to the module. Regression models were used to explore whether participant characteristics predicted subgroups of youths based on their estimated response to certain types (e.g., cognitive) of modules, and whether group membership was associated with posttreatment outcomes. Thirty youths (86%) had at least one module associated with a significant change in internalizing symptoms from premodule delivery to postmodule delivery. The specific modules associated with these changes varied across youths. Behavioral activation was most frequently associated with symptom decreases (34% of youths). No participant characteristics predicted estimated response to module type, and group membership was not significantly associated with posttreatment outcomes. Youths display highly heterogeneous responses to treatment modules, indicating multiple pathways to symptom improvement for depressed youths.
Topics: Humans; Cognitive Behavioral Therapy; Female; Male; Adolescent; Treatment Outcome; Child; Depression; Depressive Disorder
PubMed: 38937058
DOI: 10.1016/j.beth.2024.01.004 -
Behavior Therapy Jul 2024Understanding within-person variation between theorized mechanisms of disorder and depressive symptoms can help identify targets for interventions. Cognitive models of...
Understanding within-person variation between theorized mechanisms of disorder and depressive symptoms can help identify targets for interventions. Cognitive models of depression hypothesize dysfunctional attitudes as underlying vulnerability factors, while the metacognitive model places emphasis on dysfunctional metacognitive beliefs. However, no previous study has tested the relative importance of change in dysfunctional attitudes and metacognitive beliefs as predictors of change in depressive symptoms within individuals. In a sample of 1,418 individuals measured at four time-points separated by 5-week intervals, a multilevel model approach was used to test the relative importance of change in dysfunctional attitudes and metacognitive beliefs as predictors of change in depressive symptoms. Change in dysfunctional attitudes and metacognitive beliefs predicted change in depressive symptoms over time. However, change in metacognitive beliefs and in particular negative metacognitive beliefs and judgements of cognitive confidence were significantly stronger predictors of change in depressive symptoms compared to dysfunctional attitudes. Furthermore, change in metacognitive beliefs predicted change in dysfunctional attitudes beyond change in depressive symptoms. These results suggest that metacognitive beliefs rather than dysfunctional attitudes might be more important for depressive symptoms over time within persons and that metacognitive change may also influence dysfunctional attitudes over time. Metacognitive beliefs are therefore a promising target for treatment and prevention aiming to reduce depressive symptoms, but replication of our results in clinical samples is warranted before more clear conclusions can be drawn.
Topics: Humans; Female; Male; Metacognition; Depression; Adult; Attitude; Middle Aged; Young Adult; Adolescent
PubMed: 38937051
DOI: 10.1016/j.beth.2023.12.004 -
Behavior Therapy Jul 2024This study explored clinical and sociodemographic moderators of treatment response to "Be a Mom", an internet-based cognitive behavioral therapy (iCBT) intervention,... (Randomized Controlled Trial)
Randomized Controlled Trial
For Whom and for How Long Does the "Be a Mom" Intervention Work? A Secondary Analysis of Data From a Randomized Controlled Trial Exploring the Mid-Term Efficacy and Moderators of Treatment Response.
This study explored clinical and sociodemographic moderators of treatment response to "Be a Mom", an internet-based cognitive behavioral therapy (iCBT) intervention, from baseline to postintervention, in women at high risk for postpartum depression (PPD). The study also assessed the stability of women's treatment gains from baseline to 4-months postintervention (follow-up). This open-label randomized controlled trial (RCT) involved a sample of 1,053 postpartum Portuguese women identified as being at high risk for PPD (i.e., having a score of 5.5 or higher on the Postpartum Depression Predictors Inventory-Revised); participants were allocated to "Be a Mom" intervention group or a waiting-list control group, and completed self-report measures at baseline, postintervention, and a 4-month follow-up (554 women completed follow-up assessments). Depressive and anxiety symptoms were measured using the Edinburgh Postnatal Depression Scale and the anxiety subscale of the Hospital Anxiety and Depression Scale, and flourishing/positive mental health was assessed with the Mental Health Continuum. Regression models and linear mixed models were used to examine moderators of treatment and the mid-term efficacy of the "Be a Mom" intervention, respectively. The results revealed that treatment completion, higher depression scores at baseline, and higher income levels were linked to greater symptom reduction and positive mental health enhancement. Moreover, the efficacy of the "Be a Mom" intervention was supported at the 4-month follow-up. The "Be a Mom" intervention appears to be an effective iCBT tool for reducing psychological distress and enhancing positive mental health in women at risk for PPD, with therapeutic improvements maintained over a 4-month period.
Topics: Humans; Female; Adult; Cognitive Behavioral Therapy; Depression, Postpartum; Treatment Outcome; Anxiety; Mothers; Internet-Based Intervention; Portugal
PubMed: 38937049
DOI: 10.1016/j.beth.2023.11.001 -
The British Journal of General Practice... Jul 2024
Topics: Humans; Primary Health Care; Prognosis; Severity of Illness Index; Depression; Antidepressive Agents; Depressive Disorder
PubMed: 38936876
DOI: 10.3399/bjgp24X738537 -
Journal of Affective Disorders Jun 2024While theta burst stimulation (TBS) shows promise in Major Depressive Disorder (MDD), its effectiveness in bipolar depression (BD-D) remains uncertain. Optimizing...
Continuous theta burst stimulation for bipolar depression: A multicenter, double-blind randomized controlled study exploring treatment efficacy and predictive potential of kynurenine metabolites.
BACKGROUND
While theta burst stimulation (TBS) shows promise in Major Depressive Disorder (MDD), its effectiveness in bipolar depression (BD-D) remains uncertain. Optimizing treatment parameters is crucial in the pursuit of rapid symptom relief. Moreover, aligning with personalized treatment strategies and increased interest in immunopsychiatry, biomarker-based stratification of patients most likely to benefit from TBS might improve remission rates. We investigated treatment effectiveness of continuous TBS (cTBS) compared to sham in BD-D, and assessed the capacity of plasma kynurenine pathway metabolites to predict treatment outcome.
METHODS
Thirty-seven patients with BD-D underwent accelerated active or sham cTBS treatment in a multicenter, double-blind, randomized controlled trial. Depressive symptoms were measured with the 17-item Hamilton Depression Rating Scale (HDRS-17) before treatment (T0), 3-4 days posttreatment (T1) and 10-11 days posttreatment (T2). Plasma tryptophan, kynurenine, kynurenic acid and quinolinic acid concentrations were quantified with ELISA. Linear mixed models were used for statistical analyses.
RESULTS
Although the total sample showed depressive symptom improvement, active cTBS did not demonstrate greater symptom alleviation compared to sham. However, higher baseline quinolinic acid significantly predicted symptom improvement in the active treatment group, not in sham-stimulated patients.
LIMITATIONS
The modest sample size limited the power to detect significant differences with regard to treatment effect. Also, the follow-up period was 10-11 days, whereas similar studies usually follow up for at least one month.
CONCLUSION
More research is required to optimize cTBS for BD-D and explore the involvement of quinolinic acid in treatment outcome.
PubMed: 38936704
DOI: 10.1016/j.jad.2024.06.078 -
Journal of Affective Disorders Jun 2024Internet-Based Cognitive Behavioral Therapy (iCBT) is an innovative modality of cognitive-behavioral intervention that presents a promising therapeutic strategy for... (Review)
Review
OBJECTIVE
Internet-Based Cognitive Behavioral Therapy (iCBT) is an innovative modality of cognitive-behavioral intervention that presents a promising therapeutic strategy for individuals diagnosed with binge spectrum eating disorders. This study employed a meta-analysis methodology to assess the clinical effectiveness and acceptability of iCBT.
METHODS
We conducted searches in databases such as PubMed, Embase, Web of Science, Cochrane Library, and PsycINFO, collecting literature that met the inclusion criteria until August 5, 2023.
RESULTS
A comprehensive analysis was conducted, encompassing a total of 11 randomized controlled studies that satisfied the predetermined criteria for inclusion. The summary results demonstrated that iCBT could significantly improve the pathological features related to eating in patients with binge spectrum eating disorders and also significantly reduce the frequency of binge episodes. Additionally, iCBT could ameliorate the depressive and anxious emotions of patients with binge spectrum eating disorders and boost their self-esteem. Furthermore, a notable disparity in dropout rates was seen in comparison to the control group.
LIMITATION
Heterogeneity across studies,limitations of self-assessment scales and potential publication bias.
CONCLUSION
iCBT can effectively assist patients with binge spectrum eating disorders in improving clinical symptoms. However, it is important to use caution when interpreting the findings of this study, as there are limitations pertaining to the quantity and quality of the included studies.
PubMed: 38936703
DOI: 10.1016/j.jad.2024.06.084 -
European Neuropsychopharmacology : the... Jun 2024An estimated 30 % of Major Depressive Disorder (MDD) patients exhibit resistance to conventional antidepressant treatments. Identifying reliable biomarkers of...
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance.
An estimated 30 % of Major Depressive Disorder (MDD) patients exhibit resistance to conventional antidepressant treatments. Identifying reliable biomarkers of treatment-resistant depression (TRD) represents a major goal of precision psychiatry, which is hampered by the clinical and biological heterogeneity. To uncover biologically-driven subtypes of MDD, we applied an unsupervised data-driven framework to stratify 102 MDD patients on their neuroimaging signature, including extracted measures of cortical thickness, grey matter volumes, and white matter fractional anisotropy. Our novel analytical pipeline integrated different machine learning algorithms to harmonize data, perform data dimensionality reduction, and provide a stability-based relative clustering validation. The obtained clusters were characterized for immune-inflammatory peripheral biomarkers, TRD, history of childhood trauma and depressive symptoms. Our results indicated two different clusters of patients, differentiable with 67 % of accuracy: one cluster (n = 59) was associated with a higher proportion of TRD, and higher scores of energy-related depressive symptoms, history of childhood abuse and emotional neglect; this cluster showed a widespread reduction in cortical thickness (d = 0.43-1.80) and volumes (d = 0.45-1.05), along with fractional anisotropy in the fronto-occipital fasciculus, stria terminalis, and corpus callosum (d = 0.46-0.52); the second cluster (n = 43) was associated with cognitive and affective depressive symptoms, thicker cortices and wider volumes. Multivariate analyses revealed distinct brain-inflammation relationships between the two clusters, with increase in pro-inflammatory markers being associated with decreased cortical thickness and volumes. Our stratification of MDD patients based on structural neuroimaging identified clinically-relevant subgroups of MDD with specific symptomatic and immune-inflammatory profiles, which can contribute to the development of tailored personalized interventions for MDD.
PubMed: 38936143
DOI: 10.1016/j.euroneuro.2024.05.015 -
JMIR MHealth and UHealth Jun 2024Rising rates of psychological distress (symptoms of depression, anxiety, and stress) among adults in the United States necessitate effective mental wellness...
BACKGROUND
Rising rates of psychological distress (symptoms of depression, anxiety, and stress) among adults in the United States necessitate effective mental wellness interventions. Despite the prevalence of smartphone app-based programs, research on their efficacy is limited, with only 14% showing clinically validated evidence. Our study evaluates Noom Mood, a commercially available smartphone-based app that uses cognitive behavioral therapy and mindfulness-based programming. In this study, we address gaps in the existing literature by examining postintervention outcomes and the broader impact on mental wellness.
OBJECTIVE
Noom Mood is a smartphone-based mental wellness program designed to be used by the general population. This prospective study evaluates the efficacy and postintervention outcomes of Noom Mood. We aim to address the rising psychological distress among adults in the United States.
METHODS
A 1-arm study design was used, with participants having access to the Noom Mood program for 16 weeks (N=273). Surveys were conducted at baseline, week 4, week 8, week 12, week 16, and week 32 (16 weeks' postprogram follow-up). This study assessed a range of mental health outcomes, including anxiety symptoms, depressive symptoms, perceived stress, well-being, quality of life, coping, emotion regulation, sleep, and workplace productivity (absenteeism or presenteeism).
RESULTS
The mean age of participants was 40.5 (SD 11.7) years. Statistically significant improvements in anxiety symptoms, depressive symptoms, and perceived stress were observed by week 4 and maintained through the 16-week intervention and the 32-week follow-up. The largest changes were observed in the first 4 weeks (29% lower, 25% lower, and 15% lower for anxiety symptoms, depressive symptoms, and perceived stress, respectively), and only small improvements were observed afterward. Reductions in clinically relevant anxiety (7-item generalized anxiety disorder scale) and depression (8-item Patient Health Questionnaire depression scale) criteria were also maintained from program initiation through the 16-week intervention and the 32-week follow-up. Work productivity also showed statistically significant results, with participants gaining 2.57 productive work days from baseline at 16 weeks, and remaining relatively stable (2.23 productive work days gained) at follow-up (32 weeks). Additionally, effects across all coping, sleep disturbance (23% lower at 32 weeks), and emotion dysregulation variables exhibited positive and significant trends at all time points (15% higher, 23% lower, and 25% higher respectively at 32 weeks).
CONCLUSIONS
This study contributes insights into the promising positive impact of Noom Mood on mental health and well-being outcomes, extending beyond the intervention phase. Though more rigorous studies are necessary to understand the mechanism of action at play, this exploratory study addresses critical gaps in the literature, highlighting the potential of smartphone-based mental wellness programs to lessen barriers to mental health support and improve diverse dimensions of well-being. Future research should explore the scalability, feasibility, and long-term adherence of such interventions across diverse populations.
Topics: Humans; Prospective Studies; Male; Female; Adult; Middle Aged; Surveys and Questionnaires; Mobile Applications; Health Promotion; Cognitive Behavioral Therapy; Program Evaluation; United States; Mindfulness; Quality of Life
PubMed: 38935946
DOI: 10.2196/54634 -
Psychiatria Polska Jan 2024The study aimed to provide information on the psychometric properties of the MCQ-A for Polish adolescents; confirm the factor structure of the instrument relative to the...
OBJECTIVES
The study aimed to provide information on the psychometric properties of the MCQ-A for Polish adolescents; confirm the factor structure of the instrument relative to the original scale; and present the intensity of dysfunctional metacognitive beliefs of adolescents during the pandemic.
METHODS
A total of 375 adolescents aged 1218 (M = 15.38; SD = 1.63) completed a questionnaire on their well-being during the COVID-19 pandemic, the CDI-2 questionnaire for the diagnosis of depression in children and adolescents; the State and Trait Anxiety Inventory (STAI), and the Polish version of the MCQ-A.
RESULTS
Structural validity was tested using confirmatory factor analyzes. The best results were obtained using a model that had a five-factor scale structure without a higher-order factor. The obtained psychometric properties are comparable to the results presented by the authors of the English version of MCQ-A30.
CONCLUSIONS
This research has shown that the Polish adaptation of MCQ-A is a reliable tool for studying metacognitive beliefs in adolescents.
PubMed: 38935852
DOI: 10.12740/PP/OnlineFirst/168298