Computational theory-driven studies of reinforcement learning and decision-making in addiction: What have we learned?
Computational theory-driven studies of reinforcement learning and decision-making in addiction: What have we learned?
复制标题
DOI：
10.1016/j.cobeha.2020.08.007
复制
发表时间：
2021-04
影响因子：
5
通讯作者：
Konova AB
中科院分区：
文献类型：
--
作者：
Gueguen MCM;Schweitzer EM;Konova AB
计算精神病学提供了一种强大的新方法，可以将成瘾的行为表现与其精确的认知和神经生物学基础联系起来。然而，这一新兴研究领域在一些重要方面仍然受到限制。虽然研究已经确定了物质使用者的强化学习和决策的特征与健康不同，但较少强调动态捕捉人体内的成瘾周期/状态。此外，一次关注少数行为变量阻碍了对相关过程和异质临床特征的更详细考虑。我们建议对基于价值的过程（一种动态“计算指纹”）进行纵向和多维检查，将提供对成瘾的更全面的理解，并有助于制定更好的定制和定时干预措施。
Computational psychiatry provides a powerful new approach for linking the behavioral manifestations of addiction to their precise cognitive and neurobiological substrates. However, this emerging area of research is still limited in important ways. While research has identified features of reinforcement learning and decision-making in substance users that differ from health, less emphasis has been placed on capturing addiction cycles/states dynamically, within-person. In addition, the focus on few behavioral variables at a time has precluded more detailed consideration of related processes and heterogeneous clinical profiles. We propose that a longitudinal and multidimensional examination of value-based processes, a type of dynamic “computational fingerprint”, will provide a more complete understanding of addiction as well as aid in developing better tailored and timed interventions.
登录
查看更多内容
DOI：
10.1111/add.13535
发表时间：
2017-01
期刊：
Addiction (Abingdon, England)
影响因子：
--
作者：
Amlung M;Vedelago L;Acker J;Balodis I;MacKillop J
通讯作者：
MacKillop J
影响因子：
4.7
作者：
Baker, Travis E.;Zeighami, Yashar;Holroyd, Clay B.
通讯作者：
Holroyd, Clay B.
影响因子：
10.6
作者：
Groman, Stephanie M.;Massi, Bart;Taylor, Jane R.
通讯作者：
Taylor, Jane R.
影响因子：
5.7
作者：
Bartra, Oscar;McGuire, Joseph T.;Kable, Joseph W.
通讯作者：
Kable, Joseph W.
DOI：
10.1016/j.pbb.2017.09.009
发表时间：
2018-01
期刊：
Pharmacology, biochemistry, and behavior
影响因子：
--
作者：
Bickel WK;Mellis AM;Snider SE;Athamneh LN;Stein JS;Pope DA
通讯作者：
Pope DA