Depressive Disorders: Recent submissions
Now showing items 61-80 of 111
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Using Computational Psychiatry to Rule Out the Hidden Causes of Depression
(2017-08)In an ideal world, our understanding of the causes of psychiatric disorders would progress by testing mechanistic hypotheses in experimental studies, using the results of these studies to identify situations in which the ... -
Predicting Treatment Response to Antidepressant Medication Using Early Changes in Emotional Processing.
(2019-01)Antidepressants must be taken for weeks before response can be assessed with many patients not responding to the first medication prescribed. This often results in long delays before effective treatment is started. ... -
Glucocorticoid ultradian rhythmicity differentially regulates mood and resting state networks in the human brain: A randomised controlled clinical trial
(2021-02)Adrenal glucocorticoid secretion into the systematic circulation is characterised by a complex rhythm, composed of the diurnal variation, formed by changes in pulse amplitude of an underlying ultradian rhythm of short ... -
Effect of acute citalopram on self-referential emotional processing and social cognition in healthy volunteers
(2020-10)Background Depression is characterised by negative views of the self. Antidepressant treatment may remediate negative self-schema through increasing processing of positive information about the self. Changes in affective ... -
Associations between statin use and suicidality, depression, anxiety, and seizures: a Swedish total-population cohort study
(2020-11)Background Statins have shown both protective and adverse associations with neuropsychiatric outcomes. We aimed to examine the possible associations between statins and suicidality, depression, anxiety, and seizures. M ... -
Inducing Affective Learning Biases with Cognitive Training and Prefrontal tDCS: A Proof-of-Concept Study
(2020-10)Cognitive models of mood disorders emphasize a causal role of negative affective biases in depression. Computational work suggests that these biases may stem from a belief that negative events have a higher information ... -
Precision biomarkers for mood disorders based on brain imaging
(2020-10)Mood disorders are a global public health problem because of their high prevalence, chronicity, and recurrence throughout the lifespan as well as increased risk of mortality.123 They also impose a heavy economic burden on ... -
Postnatal depression in fathers: a quiet struggle?
(2020-11)The mental health of fathers is now receiving more attention as a part of a national policy designed to address mens' mental health. Fatherhood can be a challenging period in a man's life and some men are at risk of ... -
Neural effects of a single dose of fluoxetine on resting-state functional connectivity in adolescent depression
(2020-11)Fluoxetine is commonly prescribed in adolescent depression, but the neural mechanisms underlying its action remain poorly understood. Here, we used resting-state functional magnetic resonance imaging to investigate the ... -
Insomnia as a mediating therapeutic target for depressive symptoms: A sub-analysis of participant data from two large randomized controlled trials of a digital sleep intervention
(2020-06)Insomnia predicts the onset of depression, commonly co-presents with depression and often persists following depression remission. However, these conditions can be challenging to treat concurrently using depression-specific ... -
Identifying outcomes for depression that matter to patients, informal caregivers, and health-care professionals: qualitative content analysis of a large international online survey
(2020-07)Many clinical trials have assessed treatments for depressive disorders and bipolar depression. However, whether, and which, assessed outcome domains really matter to patients, informal caregivers, and health-care professionals ... -
Addressing concerns about smoking cessation and mental health: theoretical review and practical guide for healthcare professionals
(2020-07)Smoking rates in people with depression and anxiety are twice as high as in the general population, even though people with depression and anxiety are motivated to stop smoking. Most healthcare professionals are aware that ... -
Predicting treatment effects in unipolar depression: A meta-review
(2020-08)There is increasing interest in clinical prediction models in psychiatry, which focus on developing multivariate algorithms to guide personalized diagnostic or management decisions. The main target of these models is the ... -
Comparative efficacy and acceptability of antidepressants, psychotherapies, and their combination for acute treatment of children and adolescents with depressive disorder: a systematic review and network meta-analysis
(2020-07)Depressive disorders are common in children and adolescents. Antidepressants, psychotherapies, and their combination are often used in routine clinical practice; however, available evidence on the comparative efficacy and ... -
Real-world effect of antidepressants for depressive disorder in primary care: protocol of a population-based cohort study
(2020-06)Introduction Clinical guidelines recommend antidepressants as the first line of treatment for adults with moderate-to-severe depression. Randomised trials provide the best evidence on the comparative effectiveness of ... -
Pharmacological Augmentation in Unipolar Depression: A Guide to the Guidelines
(2020-05)Background: Pharmacological augmentation is a recommended strategy for patients with treatment-resistant depression. A range of guidelines provide advice on treatment selection, prescription, monitoring and discontinuation, ... -
Deriving information from missing data: implications for mood prediction
(2020-06)The availability of mobile technologies has enabled the efficient collection prospective longitudinal, ecologically valid self-reported mood data from psychiatric patients. These data streams have potential for improving ... -
Cognition in Mood Disorders
(2020-01)Mood disorders are common, complex, and one of the main causes of morbidity worldwide (1). There has been an increasing recognition that cognitive dysfunction is a central aspect of most mood disorders, as well as being ... -
Natural language processing for structuring clinical text data on depression using UK-CRIS
(2020-02)Background Utilisation of routinely collected electronic health records from secondary care offers unprecedented possibilities for medical science research but can also present difficulties. One key issue is that medical ... -
A single administration of ‘microbial’ D-alanine to healthy volunteers augments reaction to negative emotions: a comparison with D-serine
(2020-03)Background Activation of the glutamate N-methyl-D-Aspartate receptor (NMDAR) with its co-agonist D-serine has been shown to improve subjective mood in healthy volunteers. D-alanine is another potent NMDAR co-agonist which ...