Journal of Psychiatric Research

BackgroundSuicidal ideation (SI) is a major global concern, yet its dynamic interplay with other symptoms remains poorly understood. ObjectiveTo identify symptoms that co-fluctuate with or temporally precede SI to improve warning signal detection and intervention. MethodsLongitudinal data from three Dutch psychiatric cohorts with lifetime internalizing disorders (16 waves from April 2020 until February 2022) were collected during the COVID-19 pandemic. We analyzed depressive, happiness, anxiety, loneliness, worry symptoms, and COVID-19-specific items only in those participants with SI fluctuations. Dynamic Time Warping (DTW) quantified within-person similarity between symptom trajectories and SI, and results were aggregated at group level. FindingsThe 307 participants (mean age 44.8 years; 61.6% female) showed increasing SI over time (p < .001). SI aligned with four depressive symptoms (i.e., sad mood, low self-esteem, low interest, and reduced happiness), two anxiety-related symptoms (i.e., fear of losing control, faintness), feeling abandoned, and overwhelming worrying. In directed DTW analysis, sad mood, hypersomnia, worrying about projects, and numbness/tingling showed significant temporal precedence before SI. ConclusionSI is embedded in a broad symptom network beyond depression. These results underscore the value of time-sensitive, idiographic monitoring using tools like DTW to capture the person-specific temporal pathways through which SI emerges and intensifies. Clinical implicationsThis study suggests a core group of affective, cognitive, and interpersonal symptoms that could serve as informative signals for evaluating changes in SI and may represent actionable targets for intervention. Summary BoxO_ST_ABSWhat is already known on this topic?C_ST_ABSO_LISuicidal ideation (SI) is a dynamic phenomenon, yet traditional research often relies on static, group-level averages that do not capture individual fluctuations. C_LIO_LIWhile SI is linked to depression, it can emerge independently through complex interactions with other affective and interpersonal states C_LI What this study adds?O_LIThis study identifies a set of affective, cognitive, and interpersonal symptoms, sad mood, overwhelming worry, and feelings of abandonment, that significantly co-fluctuate with SI over weeks and months. Additionally four specific "leading" symptoms, sad mood, hypersomnia, worrying about projects, and somatic numbness, were found that precede increases in SI. C_LI How this study might affect research, practice or policy?O_LIThe identified co-fluctuations and precursors serve as informative "(early) warning signals" that can improve individual risk stratification and clinical monitoring and may represent targets for intervention. C_LIO_LIThe results support a shift toward network-based models in suicidology, emphasizing the need for time-sensitive monitoring to capture the complex and dynamic nature of suicidality. C_LI

Major depressive disorder (MDD) is a highly prevalent psychiatric disorder with changes in motivation to work for rewards being a core symptom. Transcutaneous vagus nerve stimulation (tVNS) has emerged as a promising therapy but its effects on the core features of MDD, such as changes in motivation, remained relatively unexplored. In this randomised, single-blind, cross-over, controlled trial, we used a grip strength effort task to investigate how tVNS impacted choices to exert different levels of physical effort for varying monetary rewards in MDD patients (n=53) and a non-depressed control group (n=45). Compared to sham stimulation, tVNS enhanced the efficiency with which participants with severe depressive symptoms allocated physical effort for rewards (reward-effort efficiency). These effects were not seen in participants with less severe symptoms. Specifically, we found that the effect of tVNS on reward-effort efficiency was driven by reduced unnecessary effort, i.e., a reduction in choices to exert additional effort when this was not required to gain a larger reward. These findings suggest a potential motivational mechanism by which tVNS exerts its therapeutic effects in MDD. Determining whether the effects of tVNS are linked to broader changes in executive functioning, such as improvements in cognitive flexibility in MDD, should be a key aim for future work.

BackgroundThe Michigan Freshman Study on Stress and Resilience aims to identify factors that predict the emergence of depression and/or anxiety symptoms in college freshmen. We previously showed that a combination of psychiatric instruments (Affect Score) strongly predicts who will develop such symptoms during the freshman year. Here, we ask: a) Can we replicate the predictive power of the Affect Score in an independent cohort? and b) Can the neuroendocrine profile during the Trier Social Stress Test (TSST) serve as an additional predictor? MethodsA new cohort of subjects (N= 357) was used for Affect Score replication. The TSST study involved 337 subjects (Females 184, Males 153). Self-report questionnaires at the start of the year were used to derive the Affect Score. GAD-7 and PHQ-9 were used to monitor anxiety and depression, respectively. TSST measures involved plasma ACTH and Cortisol and heart rate monitoring. ResultsThe Affect Score proved to be a highly replicable predictor of future depression and anxiety. In the TSST, subjects not currently depressed but who developed depression at another timepoint during the year showed a higher and delayed peak of the CORT response. Female subjects not currently anxious but who developed anxiety at another timepoint had an elevated CORT response throughout the TSST. This hyperresponsiveness was not correlated with Affect Score and was an independent predictor of anxiety. Present addressMichigan Neuroscience Institute, University of Michigan, A. Alfred Taubman Biomedical Science Research Building, Rm 2009, Ann Arbor, MI, 48109-9901, USA Author ContributionsHK performed research, analyzed data, wrote the paper; CAT designed research, performed research, wrote the paper; VM-W designed research, performed research; LG, FL, AO, KA and LW performed research; CS coded and analyzed data; JFL designed research; SJW Jr designed research; HA designed research, wrote the paper. FundingThis work was supported by the Office of Naval Research (ONR) Grant N00014-09-1-0598, N00014-12-1-0366 and N00014-19-1-2149, the Pritzker Neuropsychiatric Disorders Research Consortium Fund, LLC and the Hope for Depression Research Foundation. This project was also supported by Grant Number P30DK020572 (MDRC) from the National Institute of Diabetes and Digestive and Kidney Diseases. Competing interestsThe authors declare no competing interests. ConclusionsThe Affect Score is a powerful predictor of depression and anxiety in college freshmen. The combination of Affect Score and TSST is strongly predictive of anxiety in females.

BackgroundIntermittent theta burst stimulation (iTBS) and H-coil repetitive transcranial magnetic stimulation (rTMS) are FDA-cleared treatments for major depression; yet their comparative effectiveness in treatment-resistant depression (TRD) has not been evaluated in randomized trials. This pilot randomized trial was designed to obtain preliminary comparative estimates and to explore whether baseline cognitive functioning relates to early remission. MethodsTwenty-eight adults with TRD were randomized to six weeks of iTBS delivered to the dorsolateral prefrontal cortex (DLPFC) using a figure-8 coil (n=15) or H-coil rTMS delivered to the dorsomedial prefrontal cortex (DMPFC) using a H7-coil (n=13). The primary outcome was change in 17-item Hamilton Depression Rating Scale (HRSD-17) score from baseline to week 6, analyzed with ANCOVA. Additional outcomes included response, remission, and symptom trajectories through week 18. Exploratory analyses examined the association between baseline cognitive functioning, such as executive functions and memory, and remission. ResultsTwenty-five participants completed all 30 sessions. Adjusted week-6 HRSD-17 scores did not differ between groups (mean difference -0.40, 95% CI -5.23 to 4.43; p=.865). Response rates were 40.0% for iTBS and 50.0% for H-coil (p>.60), and remission rates were identical across groups (20.0%). Remitters showed higher baseline executive functioning than non-remitters in exploratory analyses, although these associations were not confirmed in adjusted models. ConclusionIn this pilot trial, iTBS and H7-coil rTMS showed symptom improvement, with no clear between-group pattern. Exploratory findings suggest a potential signal involving executive functioning that warrants further investigation. These results inform the feasibility and design of larger comparative trials. Trial registrationClinicalTrials.gov (NCT05902312)

ImportancePain is inherently aversive but provides emotional relief for individuals engaging in non-suicidal self-injury (NSSI). Despite the high prevalence and severity of NSSI, the neural mechanisms underlying pain processing in individuals with NSSI remain poorly understood. ObjectiveTo compare brain structure and functional connectivity between individuals with NSSI and controls and to relate brain function to pain inhibition. DesignCross-sectional, experimental. SettingMR Center at the Karolinska University Hospital in Stockholm, Sweden. ParticipantsWomen aged 18-35 years with NSSI (n=41) or matched healthy controls (n=40). ExposuresEngagment in self-injury [&ge;] 5 days during the last year. Main outcomes and measuresMagnetic Resonance Imaging (MRI) was used to examine brain structure and function related to pain regulation in individuals with NSSI (n=41) and healthy controls (n=40). The experimental pain test Conditioned Pain Modulation (CPM) was used to determine descending pain inhibition. ResultsWe found higher connectivity between the brains somatomotor networks and subcortical areas during resting-state functional MRI in NSSI compared to controls (P=.009; Bonferroni corrected), particularly involving the thalamus and caudate nucleus. The connectivity was linked to the level of descending pain inhibition during CPM. There was no difference between NSSI and controls regarding brain morphometry. Conclusions and relevanceOur findings suggest that individuals with NSSI may rely more on sensory-motor activations to regulate emotions. This study provides the first evidence linking specific brain circuits to pain regulation and self-injury behavior, highlighting potential pathways for more effective treatments for NSSI and related mental health conditions.

Esketamine is a fast-acting antidepressant drug which induces acute psychoactive effects. The most frequent is a dissociative state which seems unrelated to therapeutic efficacy. Other esketamine-induced effects, including psychedelic-like mystical experiences, have been poorly studied in terms of phenomenology and frequency, and may carry specific therapeutic relevance. In this study, we characterised esketamine-induced mystical experiences in relation with clinical outcomes. We conducted a longitudinal observational study and systematically measured acute subjective effects in patients receiving esketamine for treatment-resistant depression after each administration across the induction phase. A total of 45 patients were included, from two independent centres, totalling 352 esketamine administrations. Principal Component Analysis (PCA) supported the validity of the Mystical Experience Questionnaire (MEQ-30) for assessing esketamine-induced subjective effects, with components recovering dimensions previously validated with classic psychedelics. Mystical experiences (MEQ-30 score above 60) occurred in 58% of patients, with high inter- and intra-individual variability in frequency, intensity, and phenomenology across sessions. Higher mean and peak MEQ scores were associated with greater improvement in Montgomery-Asberg Depression Rating Scale scores from pre- to post-treatment, whereas the intensity of dissociative or other non-mystical effects was not. Positive mood and mystical MEQ dimensions in particular predicted therapeutic outcomes. Baseline spirituality also significantly predicted treatment outcomes and peak MEQ scores in the first week of treatment. These findings add to the growing body of evidence suggesting that psychedelic-like mystical experiences may be associated to therapeutic efficacy, not only in classic psychedelic-assisted therapy, but also in esketamine treatment.

BackgroundSuicidal ideation (SI) fluctuates over time, yet traditional static risk factors poorly align with its dynamics over time. Understanding dynamic symptom patterns may advance knowledge of the temporal interplay between SI and co-occurring symptoms in adults with depressive and anxiety disorders. Materials and methodsWe analyzed six waves (at baseline, and after 2, 4, 6, 9, and 13 years of follow-up) of the Netherlands Study of Depression and Anxiety (NESDA; n = 305, mean age 40.8 years, 62% female) in participants with any SI fluctuation over time. Variables included depressive, anxiety, mastery, and worry symptoms. Dynamic Time Warping (DTW) quantified within-person temporal alignment between SI and other symptoms, and an undirected network and forestplot visualized co-fluctuations. Analyses were stratified by age-groups and sex. ResultsOver the years, SI co-fluctuated most strongly with affective and anhedonic depressive symptoms, including sad mood, low capacity for pleasure, low general interest, pessimism, quality of mood, and decreased appetite. Select anxiety (terrified/afraid) and worry (overwhelming worries) items also aligned with SI, whereas mastery items did not. Patterns were broadly consistent across age and gender subgroups. Networks indicated that SI is part of a cluster of depressogenic symptoms but bridges to acute fear and persistent worry. ConclusionsSI is a dynamic phenomenon closely linked to specific depressive, anxiety, and worry symptoms. Interventions targeting mood instability, anhedonia, and uncontrollable worry, combined with real-time monitoring, may improve personalized suicide prevention. DTW provides a framework to identify long-term temporally proximal symptom patterns.

BackgroundWhile commonly accepted depressive subtypes reflect phenotypic differences, there has been minimal progress in identifying discrete pathophysiological pathways, biomarkers or differential therapeutic approaches which effectively guide clinical management. AimsTo test the biological validity and clinical utility of a circadian subtype of depression on the basis of clinical course, differential medication response (self-reported) and genetic risk profile. MethodsCross-sectional data were drawn from the nationwide, genetically-informative Australian Genetics of Depression Study. Participants were classified as having a "circadian" versus "non-circadian" subtype of depression on the basis of meeting criteria for at least three binary circadian features: social jetlag, seasonality, delayed sleep midpoint, evening chronotype, sleep inertia, and hypersomnia. Clinical course characteristics were compared. Associations with response to commonly prescribed antidepressants and polygenic risk scores (PGS) for mental disorders and sleep, circadian, metabolic and inflammatory traits, were investigated using logistic regression models. Results2,604 participants (23%; 80% females; mean age=37.87{+/-}13.62) had a circadian subtype. These cases reported an earlier age of onset (p<0.001), more severe clinical features including hypo/manic-like and psychotic-like experiences, suicidality, psychological distress and somatic complaints (ps<0.001), weight gain during depressive episodes (p<0.001), poorer response to SSRIs (OR=0.88 [0.82, 0.94]) and SNRIs (OR=0.89 [0.83, 0.97]) and more side-effects, compared to those with a non-circadian subtype. Having a circadian subtype was associated with higher PGS for attention-deficit/hyperactivity disorder (OR=1.11 [1.06, 1.17]), major depression (OR=1.11 [1.06, 1.16]), bipolar disorder (OR=1.09 [1.04, 1.14]), body mass index (OR=1.09 [1.05, 1.14]), triglycerides (OR=1.10 [1.06, 1.16]), interleukin-6 (OR=1.08 [1.03, 1.13]), higher insulin resistance (OR=1.08 [1.04, 1.13]), later sleep midpoint (OR=1.15 [1.10, 1.21]), insomnia (OR=1.08 [1.03, 1.13]), and later chronotype (OR=0.68 [0.65, 0.71]). ConclusionThese findings support the face validity and potential clinical utility of circadian subtype of depression as a clinical profile. Pending independent replication, investigation of its biology and predictive utility are warranted.

Introduction Experiential acceptance refers to the capacity to be open to internal experiences without attempting to change or avoid them. Although acceptance is a core emotion regulation strategy within mindfulness- and acceptance-based interventions (MABIs) and a protective factor for mental health, its conceptualization and implementation remain unclear and ambiguous. The aim of this study was to clarify and develop a comprehensive model of accepting anxiety. Method Twenty-six participants from a non-clinical sample with prior experience in MABIs took part in semi-structured interviews exploring their experience of accepting anxiety. Data collection and analysis followed the principles of Grounded Theory to generate a data-driven model of the acceptance process. Results We identified a five-stage dynamic model involving distinct processes: (Stage 1) observing through the body with attentional focus on interoceptive experience; (Stage 2) identifying and acknowledging anxiety; (Stage 3) validating and normalizing the experience through validation and self-compassion; (Stage 4) not reacting characterized by decentering and nonreactivity; and (Stage 5) staying with the experience via exposure. We also identified facilitating factors that support engagement in the acceptance process. Conclusion These findings refine the understanding of acceptance as a multidimensional emotion regulation process by highlighting an active dynamic involving multiple mechanisms underlying the acceptance of anxiety. This model provides a framework for developing more targeted clinical interventions and for investigating individual and contextual variability in these subprocesses.

Numerous studies have shown that adults with depression have distinct oculomotor alterations during saccade tasks, but whether similar alterations occur in adolescents is largely unknown. The purpose of this study was to test if eye-tracking during a structured saccade task could distinguish a group of adolescents with depression from healthy controls. We hypothesized that, due to overlapping circuitry between depression pathology and the oculomotor system, adolescents with depression would show alterations in fixation, saccade, and pupil behaviour. 51 adolescents with depression and 66 age-matched healthy controls completed the Interleaved Pro- and Anti-Saccade Task (IPAST) and several self-reported questionnaires for psychiatric symptoms. Oculomotor outcomes included fixation acquisition, fixation breaks, correct rate, saccadic reaction time, rate of correct express-latency pro-saccades, rate of express- and regular-latency anti-saccade errors, baseline pupil size, as well as pupil constriction and dilation sizes following task instruction. In comparison to healthy controls, adolescents with depression displayed impairments acquiring fixation (p<.001), made more fixation breaks in pro- (p=.023) and anti-saccade trials (p=.005), more anti-saccade errors (p=.013), more express-latency saccades overall (ps=.016), had a smaller pupil constriction in pro-saccade trials (p=.047) and had a smaller pupil dilation in pro- (p=.011) and anti-saccade trials (p=.041). No differences were found for saccadic reaction time, rate of correct pro-saccades, rate of regular-latency anti-saccade errors, pupil constriction size during anti-saccade trials, or baseline pupil size. Patients had psychiatric comorbidities and were using psychotropic medication. While this reflected clinical reality, these factors may have influenced oculomotor behaviour. Adolescents with depression had altered fixation, saccade, and pupil behaviour during IPAST. Given that many cases of adolescent depression remain undetected, accessible and objective screening approaches are highly needed. This oculomotor phenotype may be used in the development of such a screening tool to detect those at risk.

Background. Adolescence and young adulthood represent critical developmental stages during which mental disorders often emerge, with the potential to impede perceived quality of life. Spirituality (i.e., the search for the sacred) and self-regulation (i.e., intrinsic processes regulating emotions, thoughts, and behaviors) are recognized as protective factors for mental health. However, their dynamic interplay remains largely unexplored, particularly in real-life and in real-time among youths. This study, developed with the help of young partners, addresses this gap by investigating the longitudinal associations between spirituality, self-regulation, and mental health using an ecological momentary assessment (EMA) approach. Methods and analysis. We plan to recruit 120 adolescents and young adults (aged 16 to 20, expected attrition rate of 20%) from the community to complete a qualitative semi-structured interview assessing their beliefs, spiritual or religious activities, role models, and meaning in life. In addition, participants will take part in a multi-wave intensive longitudinal study. Trait-level assessments will be conducted at two time points, three months apart, to capture between-person differences. Additionally, to assess within-person dynamics, participants will complete EMA surveys four times daily over 10 consecutive days in two waves, also three months apart. Measures will include facets of spirituality (e.g., beliefs, meaning, collective consciousness), self-regulation (e.g., self-control, emotional regulation, impulsivity), as well as mental health indicators (emotional and behavioral symptoms) and quality of life. Qualitative data will be analyzed through a thematic analysis method, whereas quantitative associations will be assessed using Linear Mixed Models (LMM) and network analyses. Ethics and dissemination. Ethical approval has been obtained, and data collection begun in May 2025. Findings will be disseminated through open access peer-reviewed journals, conferences on adolescent mental health, and shared with practitioners, educators, and youth organizations. Results will also be made accessible to the general public. This study aims to inform personalized preventive and therapeutic interventions by elucidating real-time mechanisms linking spirituality, self-regulation, and mental health in youths.

BackgroundTranscranial alternating current stimulation (tACS) is a promising non-pharmacological intervention for major depressive disorder (MDD), but its effects on endogenous alpha oscillatory dynamics and their relationship to clinical improvement remain unclear. MethodsIn this double-blind, sham-controlled randomized clinical trial, 20 adults with MDD received five consecutive days of prefrontal 10 Hz tACS or sham. Resting 128-channel EEG was acquired before stimulation on Day 1 (D1), Day 5 (D5), and two-week follow-up. Changes in alpha power spectral density were quantified at the stimulation frequency (10 Hz) and at each participants individual alpha frequency (IAF), using prefrontal regions of interest and whole-head topographical analyses. Depression severity was assessed using the Hamilton Depression Rating Scale (HDRS-17). ResultsBetween-group comparisons revealed no significant differences in prefrontal alpha power changes at either 10 Hz or IAF during the intervention week or at follow-up, although right prefrontal 10 Hz power showed a trend-level reduction with tACS. In contrast, within the tACS group, greater reductions in prefrontal IAF power were associated with greater HDRS-17 improvement from D1 to follow-up, and early IAF power suppression during the intervention week predicted later symptom improvement. Whole-head analyses identified a posterior cluster of reduced 10 Hz power at follow-up in the tACS group relative to sham, whereas clinically relevant correlations were specific to IAF power and distributed across frontal-central and parietal electrodes. Depression scores improved over time in both groups, with greater reductions in HDRS-17 scores observed in the tACS group. ConclusionsFindings suggest that five days of 10 Hz tACS engages depression-relevant alpha mechanisms, with symptom improvement linked specifically to modulation of alpha power at IAF. Results support personalization of tACS in future trials.

Major depressive disorder (MDD) involves dysregulated neuroimmune, metabolic, and oxidative stress (NIMETOX) pathways. Recently, it was shown that NIMETOX pathways should be evaluated in MDD patients stratified for metabolic syndrome (MetS). The current study aims to characterize the metabolic hormone and adipokine profiles of Chinese MDD patients stratified for MetS and to delineate their associations with overall severity of depression (OSOD), suicidal ideation (SI), recurrence of illness (ROI), and physiosomatic symptoms. We enrolled 125 MDD inpatients and 40 healthy controls and measured fasting serum insulin, glucose, glucagon, Glucose-dependent Insulinotropic Polypeptide (GIP), Glucagon-Like Peptide-1 (GLP-1), leptin, secretin, Plasminogen Activator Inhibitor-1 (PAI-1), resistin, ghrelin, and adiponectin, as well as the acute-phase inflammatory (API) response using albumin, transferrin (Tf), and monomeric CRP (mCRP). The results revealed a distinct metabolic hormone and adipokine signature in MDD with significantly lower insulin, glucagon, and PAI-1 levels, alongside an elevated API index (after adjusting for age, MetS, and body mass index). A composite GAP index (ghrelin, adiponectin, PAI-1) correlated negatively with OSOD, SI, ROI, physiosomatic symptoms, and adverse childhood experiences (ACEs). Integrative modeling combining the GAP index, API index, and ACEs achieved an area under the receiver operating characteristic (ROC) curve of 0.864 with an accuracy of 80% for discriminating MDD from controls. In conclusion, the findings delineated that many inpatients with severe MDD suffer from suppressed anabolic hormones and lower adipokine levels coupled with a mild, chronic inflammatory response. The deviations in this "hormonal-immune-metabolic" axis are components of the NIMETOX pathways in MDD and are not associated with MetS.

Background Somatic and psychological symptoms like depression, anxiety, and trauma-related stress often co-occur, especially in young adults, a group facing major life transitions and increased vulnerability. These overlapping symptoms pose diagnostic challenges that traditional disorder-specific models capture poorly. Transdiagnostic and dimensional approaches may offer a more meaningful framework. However, population-based data on symptom patterns in young adults remains sparse. This study investigated the patterns of psychological and somatic symptoms among young adults from Switzerland and compares these results to findings from populations with different stress exposure histories: Ukrainians who fled to Switzerland, and Ukrainians living in different regions in Ukraine during the war. Methods We analyzed cross-sectional baseline data collected in spring 2024 as part of the Mental Health Assessment of the Population (MAP) studies, where we enrolled randomly selected young adults aged 18-24 from Switzerland, Ukrainian refugees in Switzerland, and Ukrainians residing in regions with different degrees of proximity to active war zones. We assessed somatic (PHQ-15) and psychological symptoms (PHQ-9, GAD-7, PCL-5) and explored symptom patterns using descriptive statistics, correlations, and k-means clustering. Results Psychological symptom severity showed highly consistent moderate-to-strong correlations with somatic symptoms (range: 0.53-0.69), across all young adult subgroups and disorders. Rather than identifying disorder-specific patterns, symptoms clustered by overall symptom severity, emerging in three clusters: (1) high symptom burden, (2) moderate symptom burden, and (3) low symptom burden clusters with elevated somatic, depressive, anxiety, and PTSD symptoms. The cluster structure was remarkably stable across Swiss, Ukrainian, and refugee subsamples, despite markedly different stress exposure histories. Conclusion Our results support a symptom-based, dimensional approach to understanding mental health in young adults and to better capture the complexity and co-occurrence of psychological and somatic symptoms in this age group. These findings further suggest that prevention and early detection strategies should more systematically integrate both psychological and somatic symptomatology.

ObjectiveCognitive behavioral therapy (CBT) is an effective first-line treatment for obsessive-compulsive disorder (OCD), yet it remains difficult to predict who will respond to this intervention. This study investigates associations between neural activity during inhibitory control tasks and CBT outcomes, and whether task-based fMRI data could serve as a predictive marker of individual CBT response. MethodsUsing fMRI data from individuals performing an inhibitory control task across five samples (n=130, age range=8-57, 54% female) of the ENIGMA-OCD consortium, univariate associations were analyzed between activity during response inhibition and error processing and three CBT outcomes: response, remission, and pre-post treatment change in symptom severity. Random forest and support vector machine models using leave-one-sample-out cross-validation were used for prediction of CBT response and remission from fMRI activity and clinical data. ResultsRemission after CBT was associated with weaker activity in default mode regions during response inhibition and in the right supramarginal gyrus during error processing. Greater symptom reduction was linked to weaker pre-treatment activity across frontoparietal, dorsal attention, visual, and subcortical regions during response inhibition, but to stronger default mode activity during error processing. Despite these robust group-level effects, machine learning models failed to predict individual outcomes above chance level with either neuroimaging or clinical data. ConclusionWeaker activity during response inhibition in a widespread network, as well as stronger activity in default mode regions during error processing before treatment, appear beneficial to CBT response. However, these findings cannot yet be translated into individually predictive markers of CBT outcome.

BackgroundAntidepressants exert their therapeutic effects through ameliorating negative emotional biases that underpin depression. However, therapeutic gains may depend upon restructuring how emotional information is processed. This can be achieved through Cognitive Bias Modification (CBM), a technique for positively shifting recognition of emotional facial expressions. Here, we examined how CBM modifies emotional processing circuits in individuals with depression who were taking Selective Serotonin Reuptake Inhibitors (SSRIs). MethodsA double-blind Randomised Controlled Trial was conducted in 84 participants with depression who had recently started SSRI medication. Participants received five sessions of active or sham CBM over one week before fMRI scanning where they viewed emotional faces (happy, fearful, sad). ResultsAcross all emotional expressions, greater Blood Oxygen Level Dependent (BOLD) signal was observed in the inferior occipital gyrus for the active compared to sham CBM. Emotional-specific effects were observed in the medial Prefrontal Cortex (mPFC), with reduced BOLD signal in the active (compared to sham) group for viewing happy vs. fearful faces. Changes in BOLD signal were also associated with individual differences in response to CBM. Enhanced functional connectivity between mPFC and right Dorsolateral Prefrontal Cortex (rDLPFC) predicted improvement in depressive symptoms four weeks later. ConclusionsThese results indicate that CBM modifies the neural circuits involved in emotion processing in people with depression currently taking antidepressants. Converting these changes in emotional perception to improved depressive symptoms was related to changing mPFC-rDLPFC connectivity. Future trials are needed to test CBMs clinical utility as a simple, affordable and accessible adjunct therapy for depression.

Task-sharing approaches have shown promise in low-resource settings, yet few culturally adapted interventions have been systematically evaluated for forcibly displaced populations. Since 2016, over 1.7 million Venezuelans have migrated to Peru, facing significant barriers to healthcare and elevated risks of anxiety, depression, and post-traumatic stress disorder (PTSD). This protocol describes COMPASS (Cognitive-behavioral Open-source Mental-health Program Adapted for migrants, Sustainably delivered by lay providers and Supported by evidence). COMPASS is a transdiagnostic, open-source cognitive behavioral therapy program co-designed with forcibly displaced populations. This protocol describes the procedures for an ongoing randomized pilot trial with n = 90 forcibly displaced Venezuelan people (Clinicaltrials.gov: NCT06635486). COMPASS guides, or lay providers, trained through an intensive apprenticeship model, will deliver 6-12 weekly remote sessions. Primary outcomes include changes in anxiety, depression, and PTSD symptoms, assessed with validated Spanish-language measures. Secondary outcomes include feasibility (recruitment, retention, fidelity) and acceptability (therapist and participant ratings). Exploratory outcomes will examine integration, migration experiences, and demographic moderators of intervention effectiveness. Analyses will follow the intention-to-treat principle, using descriptive statistics and regression models to evaluate symptom trajectories across baseline, post-intervention, and 3- and 6-month follow-ups. This study represents the first effectiveness evaluation of an open-source, lay-delivered CBT program tailored for forcibly displaced people in Peru. Findings will inform feasibility, acceptability, and preliminary effectiveness of COMPASS, with potential to expand scalable, culturally relevant mental health services for forcibly displaced populations in resource-constrained settings worldwide.

AimsDue to the multifaceted nature of "impulsivity", its measurement remains fragmented. Here, we developed the Risky Social Choices task to provide evidence for its validity and reliability, while testing the hypothesis that impaired access to implicit knowledge of negative long-term consequences is of distinct importance for "impulsive" decision-making in a general population sample. MethodsForty participants chose whether to engage in risk-taking behaviors, which combined web-based AI-generated videos with narrated hypothetical scenarios and measured worries related to negative long-term consequences, approach-related motivation for short-term rewards, response time to and accuracy of recognizing degraded auditory prime words denoting negative long-term consequences. ResultsA pre-registered multi-step regression model was constructed with worry, motivation, response time and accuracy as predictors and percentage of risky choices as the outcome. Among all predictors, only prime word recognition accuracy was significantly negatively associated with risky choices, confirming our hypothesis of the role of reduced implicit access to negative long-term consequences in risk-taking decisions. In contrast, approach-related motivation for rewards was the only predictor significantly positively related to percentage of risky choices. DiscussionAs predicted, the negative association between risky choices and implicit access to negative long-term consequences supports its role as a distinct aspect of "impulsivity". The novel task successfully captured this aspect, paving the way for a more precise neurocognitive characterization of clinical conditions where "impulsivity" plays a key role. The findings unveil the importance of implicit social sequential knowledge for impulsivity in neurotypical populations, so far only investigated in patients with brain lesions.

BackgroundExercise therapy reduces depressive and anxiety symptoms, but its neural mechanisms are not fully understood. We examined whether and how running therapy reorganizes dynamic brain functional connectivity in affective disorders. MethodsAt baseline, resting-state fMRI was collected from 66 healthy controls and 50 individuals with affective disorders. Co-activation patterns analyses (CAPs) identified recurring whole-brain network states characterized by spatial patterns of regional co-activation/codeactivation patterns and their temporal occurrence rates. We compared CAPs between groups at baseline. Participants with affective disorders then received 16 weeks of running therapy or antidepressant treatment. We examined: (1) treatment-induced changes in brain CAPs and clinical symptoms, (2) brain-symptom associations at baseline versus post-treatment, and (3) associations between network reorganization and symptom improvement. ResultsAt baseline, individuals with affective disorders showed fewer occurrences of the visual-somatomotor-subcortical network state (VS-SCCAP) than controls (F=5.4, P=0.02, {superscript 2}=0.04). Running therapy significantly altered the temporal dynamics of two brain systems: the default mode (DMCAP: {beta} = -0.88, P = 0.006, d =- 0.88) and VS-SCCAP ({beta} = 0.87, P = 0.006, d = 0.85). These reorganizations were accompanied by significant improvements in depressive and anxiety symptoms (IDS: {beta} = -1.23, P < 0.001, d = -1.15; BAI: {beta} = - 0.98, P = 0.008, d = -0.93). DMCAP-symptom coupling changed significantly from baseline to post-treatment ({Delta}RHO=-0.48, Z{approx}-2.0, P<0.05). ConclusionsRunning therapy altered dynamic brain networks in association with clinical symptom improvement. These findings provide neurobiological evidence for exercise-induced therapeutic effects through transient brain-state reorganization, demonstrating the utility of dynamic connectivity approaches for characterizing neural mechanisms in affective disorders.

ObjectivesElectroconvulsive Therapy (ECT) is an effective treatment for bipolar disorder, particularly in severe acute cases or for illness resistant to pharmacotherapy. However, the risk of relapse following ECT is high, necessitating intervention to reduce this risk. Based on findings from ECT studies in unipolar depression and its well-known mood-stabilizing properties, it is likely that lithium treatment may reduce the risk of relapse of bipolar disorder following ECT. Therefore, we conducted a target trial emulation using data from Danish nationwide registers to investigate whether lithium protects against relapse following ECT treatment of bipolar disorder. MethodsPatients discharged from their first psychiatric admission with a primary diagnosis of bipolar disorder between January 1, 2006, and June 1, 2024, who received at least six ECT treatments, were included. Follow-up began two weeks after discharge and continued until relapse, death, one year, or January 1, 2025. Patients were considered allocated to lithium treatment if they redeemed a prescription for lithium within the first two weeks after discharge from the index admission (ECT treatment). The outcome was time to relapse, defined by either psychiatric hospital admission or suicide. Cox proportional hazards regression, adjusted for potential confounders, was used to compare the outcome between patients allocated and not allocated to lithium treatment. ResultsAmong the 574 eligible patients (mean age 41.5 years, 61.3% women), 214 (37.3%) were allocated to lithium treatment and 360 (62.7%) were not allocated to lithium treatment. During follow-up, 56 patients (26.2%) in the lithium group and 135 patients (37.5%) in the non-lithium group experienced a relapse. Lithium treatment was associated with a substantially reduced risk of relapse (adjusted hazard rate ratio, 0.60, 95% CI=0.43-0.84). ConclusionLithium treatment after ECT may reduce the risk of relapse in patients with bipolar disorder. These findings should be followed up by a randomized controlled trial.