Features Of Depression Research Articles

AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model.

The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance for the diagnosis of mental disorders. In recent years, with the development of deep learning, several methods have been proposed to assist in the diagnosis of depression and promote its automatic identification. However, these methods still have some limitations. The current approaches overlook the importance of subgraphs in brain graphs, resulting in low accuracy. Using these methods with low accuracy for FC analysis may lead to unreliable results. To address these issues, we have designed a graph neural network-based model called AFMDD, specifically for analyzing FC features of depression and depression identification. Through experimental validation, our model has demonstrated excellent performance in depression diagnosis, achieving an accuracy of 73.15%, surpassing many state-of-the-art methods. In our study, we conducted visual analysis of nodes and edges in the FC networks of depression and identified several novel FC features. Those findings may provide valuable clues for the development of biomarkers for the clinical diagnosis of depression.

Early neuroimaging features of subthreshold depression: abnormalities in frontoparietal white matter microstructure and functional activity

Early neuroimaging features of subthreshold depression: abnormalities in frontoparietal white matter microstructure and functional activity

Effects of Chronic Exercise on Different Central Features of Depression in Adults with Depression: A Systematic Review and Meta-Analysis of Random Controlled Trials

Effects of Chronic Exercise on Different Central Features of Depression in Adults with Depression: A Systematic Review and Meta-Analysis of Random Controlled Trials

Trends in hypnotic drug use in depression 2007-2017: A Swedish population-based study.

Insomnia is a common feature of depression; however, depression treatment guidelines provide limited recommendations regarding hypnotic drugs. Few studies have thoroughly investigated the use of hypnotic drugs in depression. In this cohort study using national Swedish registers, we included all patients ≥18 years with incident unipolar depression during 2007-2017. Patients were followed for 3 years, noting the annual and quarterly prevalence of hypnotic drug use from prescription fills. Prevalence ratios (PR) comparing 2017 to 2007 were calculated with 95% confidence intervals (CI). A total of 222,077 patients with depression were included (mean age 41 years, 59% women). In the year following diagnosis, 44.1% used any hypnotic drug in 2017, compared with 46.7% in 2007 (PR 0.94, 95% CI 0.92-0.97). The most commonly used drugs were Z-drugs (zopiclone, zolpidem, and zaleplon) with a prevalence of 27.6% in 2017 and 35.6% in 2007 (PR 0.78, 95% CI 0.75-0.80). Melatonin use increased sharply to 12.0% in 2017 from 0.4% in 2007 (PR 28.9, 95% CI 23.5-35.7). Hypnotic drug use was most prevalent in the first two quarters after diagnosis; however, after 3 years, the quarterly prevalence was still 19.2%. Hypnotics were more common among women, older patients, those with somatic comorbidities, more severe depression, or a history of suicide attempt. Evidence from this large register-based study demonstrates that hypnotics were used to a large extent in depression in Sweden 2007-2017. Z-drugs use declined and melatonin use increased dramatically. Hypnotic drug use remained high even 3 years after diagnosis.

Bilişsel Davranışçı Terapinin Depresyonda Ele Alınması: Vaka Sunumu

There is a strong similarity between the symptoms of anxiety disorder and depression. And the two problems can very often coexist. Anxiety; It refers to situations that affect individuals and disrupt their functionality to the extent that they disrupt daily life, which may be real or only felt in a fictional way. It is a kind of anxiety and fear. Depression is a deeper mental health issue than sadness; It is painful and can be debilitating. Like heart disease or diabetes, depression is a legitimate medical illness with genetic and biological causes. Features of depression include emotional, thought and behavioral disorders; and ranges from moderate to severe. It can affect not only the patient but also the person's family. The consequences of this disorder can be serious and cause emotional, behavioral and financial problems. Perinatal depression is a type of major depression. Perinatal depression affects not only the mother but also the baby. Can focus on the mother-baby relationship. The mother may not want to care for the baby. In our case, after giving birth to her second baby at the age of 32, situations such as constant anxiety, desire not to care for the baby, inability to complete routine tasks, loss of a loved one in her past life, and loneliness were defined as the problems that brought about the present. Key Words: Depression, Anxiety, Loneliness

Identifying Depression Using Machine Learning

Depression is the leading cause of disability worldwide. However, accurately estimating the epidemiological factors that contribute to depression remains challenging. Deep learning algorithms can be used to assess the factors that contribute to the prevalence and clinical manifestations of depression. In this paper, five machine learning models, logistic regression, decision tree, random forest, SVM, and CatBoost, were used to assess depression in 5533 adult participants from the 2018 NHANES database. The results show that random forest is the best model for identifying depression, with the highest area under the working characteristic curve (AUC), followed by CatBoost and decision tree models. This suggests that using machine learning can accurately predict depression risk.

Medication use is associated with distinct microbial features in anxiety and depression.

This study investigated the relationship between gut microbiota and neuropsychiatric disorders (NPDs), specifically anxiety disorder (ANXD) and/or major depressive disorder (MDD), as defined by Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV or V criteria. The study also examined the influence of medication use, particularly antidepressants and/or anxiolytics, classified through the Anatomical Therapeutic Chemical (ATC) Classification System, on the gut microbiota. Both 16S rRNA gene amplicon sequencing (16S) and shallow shotgun sequencing (WGS) were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and Neurocomputational Mechanisms of Affiliation and Personality Study Center for Biomedical Research Excellence (NeuroMAP CoBRE) cohorts. The results highlight the significant influence of medication use; antidepressant use is associated with significant differences in gut microbiota beta diversity and has a larger effect size than NPD diagnosis. Next, specific microbes were associated with ANXD and MDD, highlighting their potential for non-pharmacological intervention. Finally, the study demonstrated the capability of Random Forest classifiers to predict diagnoses of NPD and medication use from microbial profiles, suggesting a promising direction for the use of gut microbiota as biomarkers for NPD. Though the effect sizes were larger in females than males, similar trends emerged for both sexes. These findings encourage future research on the gut microbiota's role in NPD and its interactions with pharmacological treatments.

Diagnostic approach for the rare anterior variant of mandibular bone depression often misdiagnosed as tumorous lesions

This study analyzed the clinical and imaging features of lingual mandibular bone depression (LMBD) in the anterior mandible, aiming to prevent misdiagnosis and unnecessary surgical procedures. The patients who visited a university dental hospital for painless radiolucency in the anterior mandible from January 2010 to December 2022 were retrospectively reviewed. Twelve cases of LMBD in the anterior mandible that are confirmed by biopsy or long-term follow-up were identified. Two oral and maxillofacial radiologists evaluated the imaging features. Additionally, 12 cases were manually collected from case reports published between 2001 and 2022. Clinical and histopathologic data were obtained from both groups and clinical information were compared using Fisher's exact test. The clinical information of the patients and that from the case reports showed no statistically significant differences, except for the clinical impression (P=0.005). The imaging features of anterior LMBD included the absence of lingual cortical expansion and soft tissue bulging, a mostly round cortical border, and muscle-level attenuation, as observed on multidetector computed tomography (MDCT). Occasionally, the progression of LMBD led to thinning of the labial cortex. If non-specific clinical features are present, MDCT is recommended to distinguish anterior LMBD from tumorous lesions that require surgical intervention.

Depression and cardiovascular reactions to acute psychological stress: Is anhedonia the driver?

Blunted cardiovascular reactions in response to acute psychological stress are predictive of future health risk. A large body of research has identified depression as an influential factor associated with blunted cardiovascular reactivity. Separately, there has been a resurgence in focus on anhedonia as a key feature of depression, responsible for poor treatment responses to non-improvement in cardiac event-free survival. In a re-analysis of a previously published study that found depression to be associated with blunted systolic blood pressure (SBP) and heart rate responses (HR), we used cross-sectional network models to examine if anhedonia symptoms were key drivers of this observation. Healthy young adults (N=180) completed measures of depression symptoms (Hospital Anxiety and Depression Scale (HADS)) and had their blood pressure and heart rate monitored throughout a standardized stress testing protocol. Using network analysis, a Walktrap algorithm identified two clusters of depressive symptoms: anhedonia and non-anhedonia. These anhedonia symptoms of depression, but not the non-anhedonia symptoms, were associated with blunted SBP and HR reactivity, such that those scoring higher on HADS-D items capturing anhedonia displayed more blunted cardiovascular response profiles. Moreover, these findings were robust to adjustment for several covariates. This study adds greater clarity on the depression-cardiovascular reactivity to stress association, by demonstrating that anhedonia is a key driver of this observation.

Мужская депрессия: вымысел или клиническая реальность? Анализ феномена с позиции суицидологической практики

The existence of a connection between suicidal behavior and depressive experiences has long been established and no one is in doubt now: depressive affect mediates the action of most other predictors and factors of high suicidal risk that are known today. The existence of the male depressive syndrome is still controversial. This work is an attempt to revise existing ideas about male depression, the search of possible strong points of its early detection. Materials and methods. The article uses the results of previous studies concerning the detection of depressive experiences in young people of both sexes, students of the medical university. Statistical data of the "Ryazan Regional Clinical Psychiatric Hospital named after N.N. Bazhenov" (Ryazan) for 2023 were used to assess the gender cross-section of psychiatric treatment. The analysis of interviews with practicing psychiatrists, narcologists and psychotherapists concerning the specifics of depressive syndrome in men was carried out. Results. According to student’s self-reports, 38% of boys and 49% of girls had previously noted depressive states. The results of M.I.N.I. (an interview aimed at identifying clinically occurring depressive episodes) are also equal (24.5% and 24.65% in the anamnesis and 1.96% and 2.33% currently, respectively). The HADS data also do not reveal significant gender differences (2.45% and 1.62%, respectively). However, a subjective assessment of the depressive episodes presence in the anamnesis (two weeks or more) in a personal interview before filling out HADS and M.I.N.I. reveals twice the lower results of self-diagnosis of depression in males (which is practically not observed in the female subgroup: 10.78% and 21.40%). That is, continuous studies rather demonstrate the uniformity of the affective pathology representation in men and women with a really lower incidence of men seeking medical help, with a tendency to ignore or minimize depressive symptoms. In turn, educational and cultural factors form in men a mindset to ignore depressive experiences that create the phenomenon of male silent suffering. There are probably psychological and age-related features of male depressions that are directly related to the type of aging and value crisis periods (middle age, acceptance of non-fulfillment and fading prospects). The clinical peculiarity of depression in men is primarily due to the blurring of the "typical" clinical picture, which specialists usually focus on, the predominance of complaints of hypochondriacal, depersonalization derealization, hedonistic, amotivation and philosophical value levels, the frequency of somatic, neurological, therapeutic and other masks of "depression without depression", a noticeable tendency to rationalize symptoms and search for exogenously reactive causes of it. The selfish track of the development of depressive symptoms, the use of ineffective coping methods, the connection with alcohol abuse or formed alcohol dependence, insufficient awareness of the essence of depressive states, the frequency of primary external diagnostics (relatives, colleagues) and powerful displacing / devaluing mechanisms are not uncommon. Conclusions. Depression in men has a number of features that create significant difficulties in its timely detection and provision of adequate assistance. The observed blurring of the typical clinical picture leads to diagnostic errors and lengthening of the qualification period of the condition. The detectable affective-gender paradox of identifying depressive states is very likely related only to the peculiarities of the diagnostic approach. Keywords: depression, depression in men, hypothymia, suicide, suicide attempt, autoaggression, suicidology

A computational approach to understanding effort-based decision-making in depression.

Motivational dysfunction is a core feature of depression, and can have debilitating effects on everyday function. However, it is unclear which disrupted cognitive processes underlie impaired motivation, and whether impairments persist following remission. Decision-making concerning exerting effort to obtain rewards offers a promising framework for understanding motivation, especially when examined with computational tools which can offer precise quantification of latent processes. To understand the computational mechanisms driving motivational dysfunction in depression. We conducted two studies: a Pilot study in healthy volunteers (N=67, 66% female, mean[SD] age=28.45[9.88]) to validate our computational model, before applying it in a Case-control study including current (N=41, 71% female, mean[SD] age=30.24[11.57]) and remitted (N=46, 63% female, mean[SD] age=26.91[7.06]) unmedicated depressed individuals, and healthy volunteers with (N=36, 64% female, mean[SD] age=26.06[8.19]) and without (N=57, 68% female, mean[SD] age=26.70[8.14]) a family history of depression. The Pilot study data was collected during 2015 and the Case-control study data was collected between 2015 and 2019. Effort-based decision-making was assessed using the Apple Gathering Task, in which participants decide whether to exert effort via a grip-force device to obtain varying levels of reward; effort levels were individually calibrated and varied parametrically. The probability to accept offers as a function of reward and effort levels was examined. A comprehensive Bayesian computational analysis was implemented to examine the precise computational mechanisms influencing decision-making. Four fundamental computational mechanisms that drive patterns of effort-based decisions, which replicated across samples, were identified: overall bias to accept effort challenges; reward sensitivity; and linear and quadratic effort sensitivity. Traditional model-agnostic analyses showed that both depressed groups had a lower willingness to exert effort than control participants. In contrast with previous findings, computational analysis revealed that this difference was primarily driven by lower effort acceptance bias, but not altered effort or reward sensitivity. This work provides insight into the computational mechanisms underlying motivational dysfunction in depression. Lower willingness to exert effort could represent a trait-like factor contributing to both symptoms and risk of relapse, and might represent a fruitful target for treatment and prevention.

Heterogeneous appetite patterns in depression: computational modeling of nutritional interoception, reward processing, and decision-making.

Accurate interoceptive processing in decision-making is essential to maintain homeostasis and overall health. Disruptions in this process have been associated with various psychiatric conditions, including depression. Recent studies have focused on nutrient homeostatic dysregulation in depression for effective subtype classification and treatment. Neurophysiological studies have associated changes in appetite in depression with altered activation of the mesolimbic dopamine system and interoceptive regions, such as the insular cortex, suggesting that disruptions in reward processing and interoception drive changes in nutrient homeostasis and appetite. This study aimed to explore the potential of computational psychiatry in addressing these issues. Using a homeostatic reinforcement learning model formalizing the link between internal states and behavioral control, we investigated the mechanisms by which altered interoception affects homeostatic behavior and reward system activity via simulation experiments. Simulations of altered interoception demonstrated behaviors similar to those of depression subtypes, such as appetite dysregulation. Specifically, reduced interoception led to decreased reward system activity and increased punishment, mirroring the neuroimaging study findings of decreased appetite in depression. Conversely, increased interoception was associated with heightened reward activity and impaired goal-directed behavior, reflecting an increased appetite. Furthermore, effects of interoception manipulation were compared with traditional reinforcement learning parameters (e.g., inverse temperature β and delay discount γ), which represent cognitive-behavioral features of depression. The results suggest that disruptions in these parameters contribute to depressive symptoms by affecting the underlying homeostatic regulation. Overall, this study findings emphasize the importance of integrating interoception and homeostasis into decision-making frameworks to enhance subtype classification and facilitate the development of effective therapeutic strategies.

Associations between attentional biases for emotional images and rumination in depression

ABSTRACT Rumination is a key feature of depression and contributes to its onset, maintenance, and recurrence. Researchers have proposed that biases in the attentional processing of emotional information may underlie rumination, and particularly, the brooding component. This investigation evaluated associations between attentional biases for emotional images and rumination, including both brooding and reflection, in currently and never depressed participants. In two separate studies, participants viewed sets of four emotional images (happy, sad, threatening, and neutral) for 8 s in a free-viewing eye-tracking paradigm. In both studies, currently depressed individuals attended to happy face images and happy naturalistic images significantly less than never depressed individuals. In Study 2, currently depressed individuals attended to sad naturalistic images significantly more than never depressed individuals. There were no statistically significant associations between attentional biases and any of the forms of rumination, independent of their shared relationship with depression symptoms. These findings call into question the robustness of the link between attentional biases and rumination.

Gender differences in the prevalence, correlated factors and comorbidity of depression in adolescents: a cross-sectional study in Shanghai, China.

Prior studies have reported gender differences in the prevalence, comorbidity rates and related factors of depression during adolescence. But the gender differences in depression vary across studies. Besides, the evidence from Chinese adolescent samples is limited. This study aimed to explore gender differences in the depression-related factors, the potential interactions of the associated factors and clinical features of comorbid depression and anxiety among Chinese adolescents. A cross-sectional study involving 3,510 participants aged 11 to 16 years from schools (private and public) in Shanghai was conducted with an anonymous paper-and-pencil questionnaire. Children's Depression Inventory (CDI), Child Anxiety Related Emotional Disorders (SCARED), Strengths and Difficulties Questionnaire (SDQ) were used to evaluate depression, anxiety and behavioral and emotional difficulties, respectively. Logistic regression model was used to explore the possible correlated factors of adolescent depression and analyze the interactions of the risk factors. Our results showed that there was no gender difference in the prevalence rates of depression (χ 2 = 0.047, p = 0.83), but the prevalence of depression in females began to exceed that of males at the ages of 15 and 16. The factors associated with depression varied by gender. Private school was a risk factor for depression only in boys (adjusted OR = 1.842 [95% CI, 1.286-2.636]), whereas girls from nuclear families (adjusted OR = 1.631 [95% CI, 1.156-2.300]) and other family structures (adjusted OR = 2.682 [95% CI, 1.502-4.788]) were more likely to experience depression compared to their peers in extended family structures. Interaction analyses showed there was a negative interaction between abnormal peer problems and 7th grade among boys (adjusted OR = 0.288 [95% CI, 0.086-0.951]). Furthermore, comorbidity rates of depression and anxiety were higher in girls than that in boys (χ 2 = 14.457, p < 0.001). And girls with comorbidity showed increased SDQ peer problems scores (Z = -3.151, p = 0.002). The findings indicate it is important to develop gender-specific interventions for adolescent depression. And for boys, evaluating peer relationships may be particularly crucial in lower grades. Moreover, recognizing the gender-specific clinical features of comorbid depression and anxiety is important for appropriate clinical diagnosis and targeted treatment.

Affect dynamics and depressive symptomatology: Revisiting the inertia-instability paradox.

The inertia-instability paradox poses an intriguing question in depression research: How can the affective experiences of depressed individuals demonstrate both resistance to change and fluctuation? Prior studies examining this paradox have faced limitations, including small sample sizes, analytic approaches prone to biased parameter estimates, and inconsistent results. Using data from 842 adults (Mage = 54.31, SD = 13.25, age range: 18-88; 58.2% female) collected over 56 consecutive days, we applied dynamic structural equation modeling to quantify individualized indices of mean levels, variability, instability, and inertia of negative affect. When adjusting for shared variances among affect dynamic measures, depressive symptoms were uniquely associated with both higher mean levels and inertia of negative affect. However, neither variability nor instability demonstrated unique links to depressive symptoms after accounting for the mean and inertia. Findings indicate that greater predictability in day-to-day negative affect is an important dynamic feature of depression. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Anxiety and Depression Features in Laryngopharyngeal Reflux Disease: A Systematic Review.

To investigate the anxiety and depression features in laryngopharyngeal reflux disease (LPRD). A laryngologist and librarian conducted a PubMed, Scopus, and Cochrane Library systematic review related to anxiety, depression, and mental health in LPRD through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statements. Of the 96 identified studies, 22 publications met the inclusion criteria, accounting for 2162 patients with suspected LPRD (n=1607), gastroesophageal reflux disease (GERD; n=423), both LPRD and GERD (n=132), and 926 healthy/asymptomatic individuals. The LPRD diagnosis was mainly based on symptoms and findings. Twenty-six different mental health instruments were used across the studies. Anxiety was found in 28.8%-39.3% of patients with suspected LPRD. Depression was documented in 6.3%-45.6% of suspected LPRD. Most studies reported a significantly higher prevalence/incidence of anxiety and depression in suspected LPRD compared to controls. The LPRD symptom severity was associated with the severity of anxiety and depression in all studies exploring association findings. The anxiety and depression symptoms were reported as higher in LPRD compared to GERD populations. The bias analysis highlighted an important heterogeneity between studies, especially for the LPRD diagnosis and the mental health instruments used. The prevalence of depression and anxiety is commonly higher in suspected LPRD compared to asymptomatic individuals. Future studies are needed to understand the association between the development of LPRD and mental health disorders.

Alzheimer’s Disease (AD): Depression is associated with lower Mini‐Mental State Exam (MMSE) Scores

AbstractBackgroundNeuropsychiatric symptoms (NPS) are core features of AD and depression is a common co‐morbidity in people with AD, affecting overall outcomes and decreasing quality of life.Method205 outpatients with the diagnosis of AD conforming criteria proposed by NINCDS‐ADRDA (2011), followed‐up at a public university hospital, had their Geriatrics Depression Scale – 15 (GDS ‐15) and MMSE scores evaluated.Results125 patients (60,97%) were diagnosed with depression and 80 patients (39,03%) were not diagnosed with depression. From the depression group, 20 patients (16%) presented severe cognitive impairment (MMSE &lt; 10), 50 patients (40%) presented moderate cognitive impairment (MMSE = 10 – 20) and 55 patients (44%) presented mild cognitive impairment (MMSE &gt; 20). From the non‐depression group, 10 patients (12,5%) presented severe cognitive impairment, 30 patients (37,5%) presented moderate cognitive impairment and 40 patients (50%) presented mild cognitive impairment. Both groups, depression and non‐depression, had on average the same educational level: 3,02 and 3,42 years, respectively.ConclusionIn this sample of patients with AD, depression is associated with lower MMSE scores when compared to non‐depression group.

Understanding mental health in breast cancer from screening to Survivorship: an integrative phasic Model and tool

ABSTRACT Integrative models of mental illness and health in psycho-oncology are aimed at all types of cancer, although the patients’ experiences and issues may vary. This review summarizes the different theories and models of mental illness and health pertaining to the breast cancer experience and proposes an integrative phasic model applicable to the breast cancer trajectory. Five databases were searched for studies related to breast cancer mental health and illness theories and models. The PRISMA checklist form was used to extract the essential information from the included studies. Eleven theories and models on the experience of breast cancer were found. The integrative model based on these theories and models illustrates that the breast cancer experience is conceptualized as a trajectory with seven landmark ‘events’, each associated with a pathogenic ‘challenge’ leading to six possible ‘symptoms’, 1) psychological distress with anxious features, 2) psychological distress with depressive features, 3) non-specific distress 4) psychological distress with trauma-related features 5) low health-related quality of life, and 6) fear of recurrence. The Breast Cancer Psychological Integrative Phasic Model is supported by a simple clinical tool (BreastCancerPsych – Integrative Clinical Tool) that serves as a valuable resource throughout the care trajectory. These integrative phasic model and clinical tool are designed to help mental health clinicians formulate treatments that are tailored to the needs of their patients, especially for trajectories that are not marked by resilience.

Sleep related injury and its correlates in isolated rapid eye movement sleep behavior disorder

To evaluate factors associated with sleep related injury (SRI) and persistent SRI (pSRI) in patients with isolated rapid eye movement sleep behavior disorder (iRBD). This is a retrospective cohort study. A total of 388 patients with iRBD were involved for a comprehensive review of sleep related injuries. SRI is defined as a lifetime history of injurious behaviors to self and/or bed partner, and pSRI is considered if injurious symptoms continued to occur frequently (≥1/month). Correlations of SRI/pSRI with clinical, lifestyle and polysomnographic characteristics were analyzed. Lifetime SRI was reported in 322 (83%) patients (66.3±8.5 years old, male 77.0%), with 19.3% having severe injuries, including fractures (2.5%) and subdural hemorrhage (1.2%), while 7.5% required medical attendance. SRI was related to more severe depressive features (Padj=0.017), current alcohol drinking (Padj=0.014) and higher mentalis phasic and tonic EMG activity (Padj=0.042 and 0.048). After a mean follow-up of 5.1 years, 18.2% of SRI patients (38/209) had pSRI despite intense treatment. Frequent nightmare at baseline (OR [95% CI]=1.43 [1.01, 2.03]), restless leg syndrome (OR [95% CI]=5.68 [1.42, 22.64]) and adult-onset sleepwalking (OR [95% CI]=2.52 [1.10, 5.76]) were associated with an increased risk of pSRI. SRI is common in patients with iRBD and 18% had pSRI despite intensive treatment, emphasizing the importance of bedside safety. The identification of risk factors for SRI and pSRI underscores the need for systematic clinical screening and targeted interventions for at-risk patients.

Translational assessment of anhedonia components: Significant associations between reward anticipation measured via behavioural task performance, daily smartphone reports, and general anhedonia questionnaires

Anhedonia, a reduction in pleasure in previously enjoyed activities, is a hallmark feature of depression and is also of transdiagnostic relevance to many psychiatric disorders. Treatment and measurement of anhedonia are significant challenges. We examine anhedonia components, combining experimental training, with multimodal anhedonia assessment, comprising standard questionnaire instruments, a widely-used behavioural task, and daily reports of reward experience. Seventy-eight adults (74.4% female) completed both positive and negative cognitive bias modification training, a laboratory-based behavioural measure of reward anticipation and motivation, the Effort-Expenditure for Reward Task (EEfRT), and seven days of experience sampling via their smartphones. We found no evidence that cognitive bias modification training affected choices to engage in the high-effort trials on the EEfRT task, theorised to reflect reward anticipation. We also did not find the expected associations between baseline measures of anhedonia and reward sensitivity and response to training. Behavioural performance on the low probability EEfRT trials indicating higher reward anticipation was significantly associated with daily reports of anticipated reward. Daily reported reward anticipation and consumption were also associated with the questionnaire measure of anhedonia. Our findings demonstrate that traditional anhedonia questionnaire measures, and a laboratory-based measure of an anhedonia component, can translate to reported experiences of reward in real-world contexts. We demonstrate the specificity of associations between the laboratory measure, designed to measure reward anticipation and not consumption, and real-world reports.