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Stress, inflammation and hippocampal subfields in depression: A 7 Tesla MRI Study
(2020-02)
Experiencing stressful events throughout one’s life, particularly childhood trauma, increases the likelihood of being diagnosed with Major Depressive Disorder (MDD). Raised levels of cortisol, and markers of inflammation ...
Development of the Ketamine Side Effect Tool
(2020-04)
Background: Currently, no specific, systematic assessment tool for the monitoring and reporting of ketamine-related side effects exists. Our aim was to develop a comprehensive Ketamine Side Effect Tool (KSET) to capture ...
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 ...
Cognitive neuropsychological theory of antidepressant action: a modern-day approach to depression and its treatment
(2020-01)
Depression is a leading cause of disability worldwide and improving its treatment is a core research priority for future programmes. A change in the view of psychological and biological processes, from seeing them as ...
Subjective cognitive complaints given in questionnaire: relationship with brain structure, cognitive performance and self-reported depressive symptoms in a 25-year retrospective cohort study
(2020-07)
Subjective cognitive complaints are common but it is unclear whether they indicate an underlying pathological process or reflect affective symptoms.
Method:800 community-dwelling older adults were drawn from the Whitehall ...
Effect of the NMDA receptor partial agonist, d-cycloserine, on emotional processing and autobiographical memory
(2020-04)
Background: Studies suggest that d-cycloserine (DCS) may have antidepressant potential through its interaction with the glycine site of the N-Methyl-D-aspartate receptor (NMDAR); however clinical evidence of DCS’s efficacy ...
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 ...
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 ...
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 ...