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Using neurocognitive models to optimise the treatment of depression
Published online by Cambridge University Press: 19 July 2023
Abstract
Conventional antidepressants, such as SSRIs, are an effective treatment for many patients with depression. However, for a significant proportion of patients SSRIs either lack efficacy or are poorly tolerated. Even when SSRIs are effective in treating mood symptoms, there are often residual symptoms that are not well treated, including cognitive impairment and anhedonia. The development of novel treatment for depression is particularly challenging given the limited predictive validity of animal models. Human neurocognitive models of antidepressant action can help to bridge the translational gap and allow rapid investigation of novel compounds in healthy volunteers and people with depression. In this talk, using the 5-HT4 receptor as an example of a novel target of interest, I will outline how these objective neurocognitive models can be used as a translational tool to understand antidepressant treatment mechanisms, guide treatment selection and test novel putative antidepressants early in development.
S. Murphy Grant / Research support from: Zogenix, UCB, Janssen, Consultant of: Zogenix, Sumitomo Danippon, Janssen, UCB, Speakers bureau of: Zogenix
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- Abstract
- Information
- European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S7 - S8
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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