Behavioural and computational methods reveal differential effects for how delayed and rapid onset antidepressants effect decision making in rats.
Behavioural and computational methods reveal differential effects for how delayed and rapid onset antidepressants effect decision making in rats.
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DOI：
10.1016/j.euroneuro.2017.09.008
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发表时间：
2017-12
期刊：
影响因子：
--
通讯作者：
Robinson ESJ
中科院分区：
文献类型：
--
作者：
Hales CA;Houghton CJ;Robinson ESJ
重度抑郁症（MDD）是最常见的精神疾病之一。在最近发现氯胺酮的快速起效抗抑郁作用之前，MDD的药物治疗仅限于传统的抗抑郁药物，临床疗效延迟。通过判断偏差任务，本研究调查了在患者中观察到的时间差异是否会反映在啮齿动物的情感偏差和决策行为中。扩散模型还用于研究潜在的决策过程。在这项任务中，在反映药物在临床人群中快速与延迟抗抑郁疗效的时间框架中诱导了积极偏差。扩散模型显示，测试的抗抑郁药对决策过程也有不同的影响，这表明它们可能通过不同的神经生物学基质起作用。这种行为和计算模型的结合可能为进一步研究快速抗抑郁作用的机制和评估潜在的新治疗方法提供有用的方法。
Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders. Until the recent discovery of the rapid onset antidepressant action of ketamine, pharmacological treatments for MDD were limited to conventional antidepressant drugs with delayed clinical efficacy. Using a judgement bias task, this study has investigated whether the temporal differences observed in patients would be reflected in affective biases and decision making behaviour in rodents. The diffusion model was also used to investigate the underlying decision making processes. Positive biases were induced in this task over timeframes that mirror the rapid versus delayed antidepressant efficacy of the drugs in clinical populations. Diffusion modelling revealed that the antidepressants tested also have different effects on decision making processes, suggesting they may act through different neurobiological substrates. This combination of behaviour and computational modelling may provide a useful approach to further investigate the mechanisms underlying rapid antidepressant effect and assess potential new treatments.
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DOI：
10.1186/2045-5380-1-9
发表时间：
2011-11-07
期刊：
Biology of mood & anxiety disorders
影响因子：
--
作者：
Belzung C;Lemoine M
通讯作者：
Lemoine M
影响因子：
17.7
作者：
Harmer, Catherine J.;O'Sullivan, Ursula;Cowen, Philip J.
通讯作者：
Cowen, Philip J.
影响因子：
7.3
作者：
Hales CA;Stuart SA;Anderson MH;Robinson ES
通讯作者：
Robinson ES
影响因子：
10.5
作者：
Harmer, Catherine J.;Goodwin, Guy M.;Cowen, Philip J.
通讯作者：
Cowen, Philip J.
影响因子：
5.6
作者：
Browne CA;Lucki I
通讯作者：
Lucki I