Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment.

Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based experiments, new efforts have been underway toward greater ecological validity and participant diversity to capture the full range of individual differences in cognitive abilities and behaviors across the general population. Building on this, we developed Skill Lab, a novel game-based tool that simultaneously assesses a broad suite of cognitive abilities while providing an engaging narrative. Skill Lab consists of six mini-games as well as 14 established cognitive ability tasks. Using a popular citizen science platform (N = 10,725), we conducted a comprehensive validation in the wild of a game-based cognitive assessment suite. Based on the game and validation task data, we constructed reliable models to simultaneously predict eight cognitive abilities based on the users' in-game behavior. Follow-up validation tests revealed that the models can discriminate nuances contained within each separate cognitive ability as well as capture a shared main factor of generalized cognitive ability. Our game-based measures are five times faster to complete than the equivalent task-based measures and replicate previous findings on the decline of certain cognitive abilities with age in our large cross-sectional population sample (N = 6369). Taken together, our results demonstrate the feasibility of rapid in-the-wild systematic assessment of cognitive abilities as a promising first step toward population-scale benchmarking and individualized mental health diagnostics.

Implementing a singing-based intervention for postpartum depression in Denmark and Romania: a brief research report.

Background: There is a burgeoning evidence-base that demonstrates the positive impact of the arts on our health, wellbeing, and health behaviors. However, very few studies have focused on how to optimize the implementation of these activities for different sociocultural contexts. Due to the increasing interest in scaling effective arts interventions as part of public health strategies, and in line with global goals of achieving health equity, this is an essential focus. Aim: Using the case study of a singing for post-partum depression (PPD) intervention with empirically-demonstrated clinical effects, this brief research report explores implementation of an arts and health intervention that has been successful in the United Kingdom ("Music and Motherhood") for the new contexts of Silkeborg (Denmark) and Cluj-Napoca (Romania). Methods: Data was collected from participants at all levels of the implementation structure including at local and management levels. The study draws on qualitative implementation data to explore participant experiences, including one-to-one interviews, written testimonies, meeting minutes, ethnographic researcher reflections and focus groups, including data from 46 participants in total. Results and conclusion: We explore implementation and adaptation across five key themes: (1) acceptability and feasibility; (2) practical and structural barriers and enablers; (3) adoption and sustainability; (4) broader contextual factors affecting implementation and sustainability; and (5) project structure and processes. Taken together, the themes demonstrate that arts interventions need to be adapted in culturally sensitive ways by stakeholders who have local knowledge of their environments. This research serves as an informative foundation for use by other researchers that aim to expand the reach and impact of arts-based interventions.

Scalability of a singing-based intervention for postpartum depression in Denmark and Romania: protocol for a single-arm feasibility study.

INTRODUCTION: Postpartum depression (PPD) affects around one in seven women globally, with these women in need of non-pharmaceutical treatment strategies. There is a long history of the benefits of singing for maternal mental health, and promising research exists showing the clinical effectiveness of group singing. Group singing interventions are being scaled up to support new mothers in the United Kingdom, but we do not know if such an intervention may benefit women in different cultural contexts. This protocol focuses on exploring the feasibility of implementation and perceived impact of a 10-week group singing intervention for new mothers in Romania and Denmark eliciting signs of PPD. METHODS AND ANALYSIS: Data will be collected from up to 48 women with a score ≥10 on the Edinburgh Postnatal Depression Scale (EPDS) participating in a 10-week group singing intervention in Denmark or Romania, as well as a range of project stakeholders. The singing classes will take place in person and be facilitated by professional singing leaders. Feasibility of implementation will be analysed through qualitative data (eg, focus groups, interviews) and quantitative data (eg, the Feasibility of Intervention Measure). Perceived impact will be explored via surveys that include mental health measures (EPDS, Multidimensional Scale of Perceived Social Support, WHO Five Well-Being Index) from singing intervention participants (at weeks 1, 6, 10) and focus groups. Descriptive statistics, repeated measures analysis of variance and analysis of covariance will be used to analyse quantitative data. Framework method and thematic analysis will be used to analyse qualitative data. ETHICS AND DISSEMINATION: The national ethics committees in Romania (IRB-PH Protocol #2021-211217-012) and Denmark (case number 1-10-72-274-21) have approved the study, as has the Ethics Review Committee at the World Health Organization (ERC.0003714). All participants will be required to provide informed consent. Results will be disseminated by reports published by the WHO Regional Office for Europe, peer-reviewed publications and at conferences.

Effect of Sleep Disturbance Symptoms on Treatment Outcome in Blended Cognitive Behavioral Therapy for Depression (E-COMPARED Study): Secondary Analysis.

BACKGROUND: Sleep disturbance symptoms are common in major depressive disorder (MDD) and have been found to hamper the treatment effect of conventional face-to-face psychological treatments such as cognitive behavioral therapy. To increase the dissemination of evidence-based treatment, blended cognitive behavioral therapy (bCBT) consisting of web-based and face-to-face treatment is on the rise for patients with MDD. To date, no study has examined whether sleep disturbance symptoms have an impact on bCBT treatment outcomes and whether it affects bCBT and treatment-as-usual (TAU) equally. OBJECTIVE: The objectives of this study are to investigate whether baseline sleep disturbance symptoms have an impact on treatment outcomes independent of treatment modality and whether sleep disturbance symptoms impact bCBT and TAU in routine care equally. METHODS: The study was based on data from the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment Versus Treatment-as-Usual) study, a 2-arm, multisite, parallel randomized controlled, noninferiority trial. A total of 943 outpatients with MDD were randomized to either bCBT (476/943, 50.5%) or TAU consisting of routine clinical MDD treatment (467/943, 49.5%). The primary outcome of this study was the change in depression symptom severity at the 12-month follow-up. The secondary outcomes were the change in depression symptom severity at the 3- and 6-month follow-up and MDD diagnoses at the 12-month follow-up, assessed using the Patient Health Questionnaire-9 and Mini-International Neuropsychiatric Interview, respectively. Mixed effects models were used to examine the association of sleep disturbance symptoms with treatment outcome and treatment modality over time. RESULTS: Of the 943 patients recruited for the study, 558 (59.2%) completed the 12-month follow-up assessment. In the total sample, baseline sleep disturbance symptoms did not significantly affect change in depressive symptom severity at the 12-month follow-up (ß=.16, 95% CI -0.04 to 0.36). However, baseline sleep disturbance symptoms were negatively associated with treatment outcome for bCBT (ß=.49, 95% CI 0.22-0.76) but not for TAU (ß=-.23, 95% CI -0.50 to 0.05) at the 12-month follow-up, even when adjusting for baseline depression symptom severity. The same result was seen for the effect of sleep disturbance symptoms on the presence of depression measured with Mini-International Neuropsychiatric Interview at the 12-month follow-up. However, for both treatment formats, baseline sleep disturbance symptoms were not associated with depression symptom severity at either the 3- (ß=.06, 95% CI -0.11 to 0.23) or 6-month (ß=.09, 95% CI -0.10 to 0.28) follow-up. CONCLUSIONS: Baseline sleep disturbance symptoms may have a negative impact on long-term treatment outcomes in bCBT for MDD. This effect was not observed for TAU. These findings suggest that special attention to sleep disturbance symptoms might be warranted when MDD is treated with bCBT. Future studies should investigate the effect of implementing modules specifically targeting sleep disturbance symptoms in bCBT for MDD to improve long-term prognosis.

A generalizable speech emotion recognition model reveals depression and remission.

OBJECTIVE: Affective disorders are associated with atypical voice patterns; however, automated voice analyses suffer from small sample sizes and untested generalizability on external data. We investigated a generalizable approach to aid clinical evaluation of depression and remission from voice using transfer learning: We train machine learning models on easily accessible non-clinical datasets and test them on novel clinical data in a different language. METHODS: A Mixture of Experts machine learning model was trained to infer happy/sad emotional state using three publicly available emotional speech corpora in German and US English. We examined the model's predictive ability to classify the presence of depression on Danish speaking healthy controls (N = 42), patients with first-episode major depressive disorder (MDD) (N = 40), and the subset of the same patients who entered remission (N = 25) based on recorded clinical interviews. The model was evaluated on raw, de-noised, and speaker-diarized data. RESULTS: The model showed separation between healthy controls and depressed patients at the first visit, obtaining an AUC of 0.71. Further, speech from patients in remission was indistinguishable from that of the control group. Model predictions were stable throughout the interview, suggesting that 20-30 s of speech might be enough to accurately screen a patient. Background noise (but not speaker diarization) heavily impacted predictions. CONCLUSION: A generalizable speech emotion recognition model can effectively reveal changes in speaker depressive states before and after remission in patients with MDD. Data collection settings and data cleaning are crucial when considering automated voice analysis for clinical purposes.

Treatment of difficult-to-treat depression - clinical guideline for selected interventions.

BACKGROUND: Difficult-to-treat-depression (DTD) is a clinical challenge. The interventions that are well-established for DTD are not suitable or effective for all the patients. Therefore, more treatment options are highly warranted. We formulated an evidence-based guideline concerning six interventions not well-established for DTD in Denmark. METHODS: Selected review questions were formulated according to the PICO principle with specific definitions of the patient population (P), the intervention (I), the comparison (C), and the outcomes of interest (O), and systematic literature searches were performed stepwise for each review question to identify relevant systematic reviews/meta-analyses, and randomized controlled trials. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was used to assess the methodological quality of the included studies. Clinical recommendations were formulated based on the evidence, the risk-benefit ratio, and perceived patient preferences. RESULTS: We found sufficient evidence for a weak recommendation of repetitive transcranial magnetic stimulation (rTMS) and cognitive behavioural analysis system of psychotherapy (CBASP). The use of bright light therapy in DTD was not sufficiently supported by the evidence, but should be considered as good clinical practice. The interventions should be considered in addition to ongoing antidepressant treatment. We did not find sufficient evidence to recommend intravenous ketamine/esketamine, rumination-focused psychotherapy, or cognitive remediation to patients with DTD. CONCLUSION: The evidence supported two of the six reviewed interventions, however it was generally weak which emphasizes the need for more good quality studies. This guideline does not cover all treatment options and should be regarded as a supplement to relevant DTD-guidelines.

Storying the Past and the Future: Agency and Communion Themes Among Individuals With Schizophrenia and Depression.

ABSTRACT: Research has linked disturbances in narrative identity with schizophrenia and other psychiatric disorders. One such disturbance is diminished agency and communion themes in past life stories. However, projecting oneself into the future is also central to identity and potentially impacts recovery. Hence, we examined themes of agency and communion in both past and future life stories and related themes to psychosocial functioning in 20 individuals with schizophrenia, 20 individuals with depressive disorder, and 19 nonpsychiatric controls. Participants were asked to describe up to 10 past and future chapters in their life stories and were assessed on psychosocial functioning and neurocognition. Chapters were coded for agency and communion themes. Both clinical groups displayed diminished agency and communion themes in past but not future life story chapters compared with the nonpsychiatric controls. Furthermore, agency themes in future chapters explained variance in psychosocial functioning after controlling for neurocognition. The results suggest that constructing a narrative identity to foster agency and communion in both past and future chapters may be an important part of recovering from schizophrenia and depression.

Narrative Identity in Psychopathology: A Negative Past and a Bright but Foreshortened Future.

We examined narrative identity as a possible transdiagnostic marker of psychopathology by interviewing individuals with schizophrenia, individuals with depression and a nonclinical control group about past and future chapters in their life stories. Participants were 20 patients with schizophrenia, 20 patients with depression, and 20 nonclinical control participants matched on age, gender, and education. Participants described up to 10 chapters in their past and future life stories and self-rated chapters on emotional tone and self-event connections. In addition, cognitive function and current levels of symptoms was assessed. Both patient groups self-rated their past chapters as more negative and less positive compared to the control group, but did not differ from each other. There were no group differences in positivity of future chapters, but both patient groups identified fewer future chapters with shorter temporal projections. The results are consistent with the notion that negative past aspects of narrative identity are a transdiagnostic marker of psychopathology, while also suggesting that individuals with mental illness construct a positive future, which may support hope.

Psychometric validation of the Childhood Trauma Questionnaire-Short Form (CTQ-SF) in a Danish clinical sample.

BACKGROUND: The Childhood Trauma Questionnaire - Short Form (CTQ-SF) is a widely utilized self-report instrument in the assessment and characterization of childhood trauma. Yet, research on the instrument's psychometric properties in clinical samples is sparse, and the Danish version of the CTQ-SF has not been previously evaluated in clinical samples. OBJECTIVES: To examine the structural validity, internal consistency reliability, and multi-method convergent validity of the CTQ-SF in a heterogenous clinical sample from Denmark. PARTICIPANTS AND SETTING: The study was based on data from four Danish clinical samples (N = 393): 1) Outpatients diagnosed with personality disorders, 2) Patients commencing psychiatric treatment for non-affective first-episode psychosis, 3) Patients diagnosed with first-episode or prolonged depression recruited from general practitioners and an outpatient mood disorder clinic, and 4) detained delinquent boys. METHODS: Confirmatory factor analysis was used to explore structural validity. Also, we calculated internal consistency and multi-method convergent validity with interview-based ratings of adverse parenting. RESULTS: Confirmatory factor analyses indicated that the five-factor structure described in CTQ-SF manual with three error correlated items best fitted the data, as compared to various other models. Coefficients of congruence also supported factorial similarity across countries (i.e. US substance abuser and a mixed Brazilian sample). Internal consistency reliability was acceptable and comparable to estimates previously published. Multi-method convergent validity associations further corroborated the validity of the CTQ-SF. CONCLUSION: These findings provide support for the reliability and validity of the Danish version of the CTQ-SF in clinical samples.

The course of social cognitive and metacognitive ability in depression: Deficit are only partially normalized after full remission of first episode major depression.

OBJECTIVES: Research has suggested that patients suffering from major depressive disorder (MDD) experience deficits in the related domains of social cognition and metacognition. Most research has focused on detecting deficits among persons who are acutely symptomatic. Thus, little is known about whether these deficits persist after symptoms have remitted. As a first, this study investigated social cognitive and metacognitive deficits in patients with MDD in the acute and remitted state. DESIGN: Longitudinal case-control. METHODS: Forty-four drug-naïve depressed patients and an equal number of matched healthy controls were assessed in multiple domains of social cognition including theory of mind, social perception, and metacognition. Additionally, a comprehensive neurocognitive (non-social) test battery was utilized. Following baseline assessment, patients were enrolled in an outpatient treatment programme. Patients reaching remission within 6 months (n = 29) were reassessed 6 months post-remission. Included for analysis were only patients who followed a course of remission (n = 29) and their paired healthy controls (n = 29). RESULTS: Analyses of variance revealed that remitted patients performed significantly better at retest than at baseline on nearly all measures. These effects withstood adjusting for test-retest effects. Moreover, remitted patients performed up to level of healthy controls on some but not all social cognitive tasks and metacognition at retest. CONCLUSIONS: Overall, results suggests that social cognitive and metacognitive ability may improve with symptom remission in major depression although it may not reach a level equal to persons who have never experienced depression. PRACTITIONER POINTS: Many with first-episode depression experience deficits in social cognition. When first-episode depression remits, social cognition may improve. After remission, first-episode depressed patients may still experience deficits in social cognition. We have yet to determine whether social cognitive deficits existed prior to the onset of depression. Longer-term longitudinal studies of social cognition in depression are needed. Treatment was pharmacological and non-manualized psychotherapy, the effects of which were not controlled for. Sample sizes were modest, which must caution against generalization of the results.

A comparison of capacities for social cognition and metacognition in first episode and prolonged depression.

There is a growing awareness that social cognition is a valuable construct for understanding the psycho-social disabilities in depressive illness. Numerous studies have linked affective disorders to impairments in social cognition and specifically the processing of discrete emotional stimuli. Only few studies have investigated the relation between the burden of depressive illness and social cognitive ability. To study these issues, we compared a group of first-episode depressed patients with a group of chronically depressed patients (duration >2 years) on a broad array of higher-order social cognitive measures including the metacognition assessment scale abbreviated. Contrary to prediction, deficits in social cognition were roughly equivalent between the two groups and there was no significant link between symptom severity and social cognitive ability. Having moderate to severe major depressive disorder (MDD) could be sufficient to predict the presence of deficits in social cognitive ability.

Higher-order social cognition in first-episode major depression.

Patients suffering from major depression experience difficulties in multiple cognitive faculties. A growing body of research has linked affective disorders to abnormalities in social cognition and specifically the processing of discrete emotional stimuli. However, little inquiry has gone into possible impairment in higher-order social cognition including theory of mind, social perception and metacognition. Forty-four medication-naïve patients with first-episode unipolar major depressive disorder and an equal number of matched controls were assessed by the Metacognitive Assessment Scale-Abbreviated (MAS-A), The Frith-Happé animations (FHA) and The Awareness of Social Inference Test (TASIT). Additionally, neurocognition was assessed utilyzing the Cambridge Neuropsychological Test Automated Battery (CANTAB). Depressed patients showed impairment in all domains of higher-order social cognitive ability. Importantly, social cognitive variables retained their inter-group significance after controlling for possible covariates including neurocognition. Results indicate that first-episode depressed patients experience difficulties in all domains of higher-order social cognition including theory of mind, social perception and metacognition.