TY - CHAP A1 - Schad, Daniel A1 - Juenger, Elisabeth A1 - Sebold, Miriam Hannah A1 - Garbusow, Maria A1 - Bernhart, Nadine A1 - Javadi, Amir Homayoun A1 - Zimmermann, Ulrich S. A1 - Smolka, Michael N. A1 - Heinz, Andreas A1 - Rapp, Michael Armin A1 - Huys, Quentin J. M. T1 - Smart goals, slow habits? Individual differences in processing speed and working memory capacity moderate the balance between habitual and goal-directed choice behavior T2 - Cognitive processing : international quarterly of cognitive science Y1 - 2014 SN - 1612-4782 SN - 1612-4790 VL - 15 IS - 1 SP - S62 EP - S62 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Schad, Daniel A1 - Juenger, Elisabeth A1 - Sebold, Miriam Hannah A1 - Garbusow, Maria A1 - Bernhardt, Nadine A1 - Javadi, Amir-Homayoun A1 - Zimmermann, Ulrich S. A1 - Smolka, Michael N. A1 - Heinz, Andreas A1 - Rapp, Michael Armin A1 - Huys, Quentin J. M. T1 - Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning JF - Frontiers in psychology N2 - Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based choice control in the presence of above-average working memory function. This suggests shared cognitive and neural processes; provides a bridge between literatures on intelligence and valuation; and may guide the development of process models of different valuation components. Furthermore, it provides a rationale for individual differences in the tendency to deploy valuation systems, which may be important for understanding the manifold neuropsychiatric diseases associated with malfunctions of valuation. KW - decision-making KW - reward KW - cognitive abilities KW - model-based and model-free learning KW - fluid intelligence KW - habitual and goal-directed system Y1 - 2014 U6 - https://doi.org/10.3389/fpsyg.2014.01450 SN - 1664-1078 VL - 5 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Sebold, Miriam Hannah A1 - Deserno, Lorenz A1 - Nebe, Stefan A1 - Schad, Daniel A1 - Garbusow, Maria A1 - Haegele, Claudia A1 - Keller, Juergen A1 - Juenger, Elisabeth A1 - Kathmann, Norbert A1 - Smolka, Michael N. A1 - Rapp, Michael Armin A1 - Schlagenhauf, Florian A1 - Heinz, Andreas A1 - Huys, Quentin J. M. T1 - Model-based and model-free decisions in alcohol dependence JF - Neuropsychobiology : international journal of experimental and clinical research in biological psychiatry, pharmacopsychiatry, Biological Psychology/Pharmacopsychology and Pharmacoelectroencephalography N2 - Background: Human and animal work suggests a shift from goal-directed to habitual decision-making in addiction. However, the evidence for this in human alcohol dependence is as yet inconclusive. Methods: Twenty-six healthy controls and 26 recently detoxified alcohol-dependent patients underwent behavioral testing with a 2-step task designed to disentangle goal-directed and habitual response patterns. Results: Alcohol-dependent patients showed less evidence of goal-directed choices than healthy controls, particularly after losses. There was no difference in the strength of the habitual component. The group differences did not survive controlling for performance on the Digit Symbol Substitution Task. Conclusion: Chronic alcohol use appears to selectively impair goal-directed function, rather than promoting habitual responding. It appears to do so particularly after nonrewards, and this may be mediated by the effects of alcohol on more general cognitive functions subserved by the prefrontal cortex. KW - Alcohol dependence KW - Decision-making KW - Reinforcement learning KW - Dopamine KW - Computational psychiatry Y1 - 2014 U6 - https://doi.org/10.1159/000362840 SN - 0302-282X SN - 1423-0224 VL - 70 IS - 2 SP - 122 EP - 131 PB - Karger CY - Basel ER -