Refine
Year of publication
- 2017 (23) (remove)
Language
- English (23)
Is part of the Bibliography
- yes (23)
Keywords
- aging (5)
- working memory (5)
- dementia (4)
- Germany (3)
- cognitive-postural dual task (3)
- modality compatibility (3)
- postural stability (3)
- risk factors (3)
- Alcohol dependence (2)
- Reinforcement learning (2)
Background/Aims: Even though cognitive behavioral therapy has become a relatively effective treatment for major depressive disorder and cognitive behavioral therapy-related changes of dysfunctional neural activations were shown in recent studies, remission rates still remain at an insufficient level. Therefore, the implementation of effective augmentation strategies is needed. In recent meta-analyses, exercise therapy (especially endurance exercise) was reported to be an effective intervention in major depressive disorder. Despite these findings, underlying mechanisms of the antidepressant effect of exercise especially in combination with cognitive behavioral therapy have rarely been studied to date and an investigation of its neural underpinnings is lacking. A better understanding of the psychological and neural mechanisms of exercise and cognitive behavioral therapy would be important for developing optimal treatment strategies in depression. The SPeED study (Sport/Exercise Therapy and Psychotherapyevaluating treatment Effects in Depressive patients) is a randomized controlled trial to investigate underlying physiological, neurobiological, and psychological mechanisms of the augmentation of cognitive behavioral therapy with endurance exercise. It is investigated if a preceding endurance exercise program will enhance the effect of a subsequent cognitive behavioral therapy. Methods: This study will include 105 patients diagnosed with a mild or moderate depressive episode according to the Diagnostic and Statistical Manual of Mental Disorders (4th ed.). The participants are randomized into one of three groups: a high-intensive or a low-intensive endurance exercise group or a waiting list control group. After the exercise program/waiting period, all patients receive an outpatient cognitive behavioral therapy treatment according to a standardized therapy manual. At four measurement points, major depressive disorder symptoms (Beck Depression Inventory, Hamilton Rating Scale for Depression), (neuro)biological measures (neural activations during working memory, monetary incentive delay task, and emotion regulation, as well as cortisol levels and brain-derived neurotrophic factor), neuropsychological test performance, and questionnaires (psychological needs, self-efficacy, and quality of life) are assessed. Results: In this article, we report the design of the SPeED study and refer to important methodological issues such as including both high- and low-intensity endurance exercise groups to allow the investigation of dose-response effects and physiological components of the therapy effects. Conclusion: The main aims of this research project are to study effects of endurance exercise and cognitive behavioral therapy on depressive symptoms and to investigate underlying physiological and neurobiological mechanisms of these effects. Results may provide important implications for the development of effective treatment strategies in major depressive disorder, specifically concerning the augmentation of cognitive behavioral therapy by endurance exercise.
BACKGROUND: Addiction is supposedly characterized by a shift from goal-directed to habitual decision making, thus facilitating automatic drug intake. The two-step task allows distinguishing between these mechanisms by computationally modeling goal-directed and habitual behavior as model-based and model-free control. In addicted patients, decision making may also strongly depend upon drug-associated expectations. Therefore, we investigated model-based versus model-free decision making and its neural correlates as well as alcohol expectancies in alcohol-dependent patients and healthy controls and assessed treatment outcome in patients. METHODS: Ninety detoxified, medication-free, alcohol-dependent patients and 96 age-and gender-matched control subjects underwent functional magnetic resonance imaging during the two-step task. Alcohol expectancies were measured with the Alcohol Expectancy Questionnaire. Over a follow-up period of 48 weeks, 37 patients remained abstinent and 53 patients relapsed as indicated by the Alcohol Timeline Followback method. RESULTS: Patients who relapsed displayed reduced medial prefrontal cortex activation during model-based decision making. Furthermore, high alcohol expectancies were associated with low model-based control in relapsers, while the opposite was observed in abstainers and healthy control subjects. However, reduced model-based control per se was not associated with subsequent relapse. CONCLUSIONS: These findings suggest that poor treatment outcome in alcohol dependence does not simply result from a shift from model-based to model-free control but is instead dependent on the interaction between high drug expectancies and low model-based decision making. Reduced model-based medial prefrontal cortex signatures in those who relapse point to a neural correlate of relapse risk. These observations suggest that therapeutic interventions should target subjective alcohol expectancies.
The goal of this study was to determine the prevalence of depression and its risk factors in patients with late-onset rheumatoid arthritis (RA) treated in German primary care practices. Longitudinal data from general practices (n=1072) throughout Germany were analyzed. Individuals initially diagnosed with RA (2009-2013) were identified, and 7301 patients were included and matched (1:1) to 7301 controls. The primary outcome measure was the initial diagnosis of depression within 5 years after the index date in patients with and without RA. Cox proportional hazards models were used to adjust for confounders. The mean age was 72.2 years (SD: 7.6 years). A total of 34.9 % of patients were men. Depression diagnoses were present in 22.0 % of the RA group and 14.3 % of the control group after a 5-year follow-up period (p < 0.001). In the multivariate regression model, RA was a strong risk factor for the development of depression (HR: 1.55, p < 0.001). There was significant interaction of RA and diagnosed inflammatory polyarthropathies (IP) (RA*IP interaction: p < 0.001). Furthermore, dementia, cancer, osteoporosis, hypertension, and diabetes were associated with a higher risk of developing depression (p values < 0.001). The risk of depression is significantly higher in patients with late-onset RA than in patients without RA for subjects treated in primary care practices in Germany. RA patients should be screened routinely for depression in order to ensure improved treatment and management.