ArticleEpidemiology and psychiatric sciences2016
Neuroscience and the future for mental health?
Article in Epidemiology and psychiatric sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Generational differences in mental health and drivers of youth mental health decline in Australia and the United Kingdom.Frontiers in public health · 2026Article
- Evidence, ethics and the promise of artificial intelligence in psychiatry.Journal of medical ethics · 2023Article
- What kind of science for dual diagnosis? A pragmatic examination of the enactive approach to psychiatry.Frontiers in psychology · 2022Article
- Reporting Grantee Demographics for Diversity, Equity, and Inclusion in Neuroscience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Digitising psychiatry? Sociotechnical expectations, performative nominalism and biomedical virtue in (digital) psychiatric praxis.Sociology of health & illness · 2019Article
- Psychedelic-Assisted Psychotherapy: A Paradigm Shift in Psychiatric Research and Development.Frontiers in pharmacology · 2018Article
- How do antidepressants work? New perspectives for refining future treatment approaches.The lancet. Psychiatry · 2017Review
- Social and environmental adversities, neurobiological processes and mental disorders.Epidemiology and psychiatric sciences · 2016Article
- Mental health meets computational neuroscience: A predictive Bayesian account of the relationship between interoception and multisensory bodily illusions in anorexia nervosa.International journal of clinical and health psychology : IJCHPArticle
- Gender-related dimensions of childhood adversities in the general population.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psychiatry is in one of its regular crises. It is a crisis of its diagnostic systems despite - perhaps because - of the recurrent claims about the extent of diagnosable 'brain disorders'. It is a crisis of its explanatory systems despite - perhaps because - of its current wager on the brain as the ultimate locus for explanations of mental disorders. It is a crisis of its therapeutic capacities despite - perhaps because - more and more people are making use of its primary mode of intervention focussed on the brain - psychiatric drugs. In this editorial, I will suggest that this triple crisis of diagnosis, explanation and therapeutics arises from the dominant reductionist approaches to the role of neurobiology in psychiatry that priorities the analysis of brain mechanisms, at the expense of an understanding of the whole living organism in its milieu, and the processes which social experience shapes neurobiology from the moment of conception if not before. I shall suggest a different approach that starts from the experience of persons coping with adversity in their forms of life. This approach does not require giving up on our search for plausible explanations of mental health problems that engage neurobiological mechanisms, but it begins from a commitment to understanding, and hence intervening in, the ways in which social adversity shapes and blights the lives of so many of our fellow citizens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.