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oai:repisalud.isciii.es:20.500.12105/200042024-11-29T01:20:09Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967

00925njm 22002777a 4500 dc Emanuel Hess, Leonardo author Haimovici, Ariel author Angel Munoz, Miguel author Montoya, Pedro author 2014-08-01 Risky decision-making seems to be markedly disrupted in patients with chronic pain, probably due to the high cost that impose pain and negative mood on executive control functions. Patients' behavioral performance on decision making tasks such as the Iowa Gambling Task (IGT) is characterized by selecting cards more frequently from disadvantageous than from advantageous decks, and by switching often between competing responses in comparison with healthy controls (HCs). In the present study, we developed a simple heuristic model to simulate individuals' choice behavior by varying the level of decision randomness and the importance given to gains and losses. The findings revealed that the model was able to differentiate the behavioral performance of patients with chronic pain and HCs at the group, as well as at the individual level. The best fit of the model in patients with chronic pain was yielded when decisions were not based on previous choices and when gains were considered more relevant than losses. By contrast, the best account of the available data in HCs was obtained when decisions were based on previous experiences and losses loomed larger than gains. In conclusion, our model seems to provide useful information to measure each individual participant extensively, and to deal with the data on a participant-by-participant basis. Emanuel Hess L, Haimovici A, Muñoz MA, Montoya P. Beyond pain: modeling decision-making deficits in chronic pain. Front Behav Neurosci. 2014 Aug 01;8:263. 10.3389/fnbeh.2014.00263 1662-5153 Frontiers in Behavioral Neuroscience http://hdl.handle.net/20.500.13003/11177 25136301 L373678061 2-s2.0-84905271898 http://hdl.handle.net/20.500.12105/20004 340901600002 Chronic pain Decision-making Modeling Cognition Emotion Beyond pain: modeling decision-making deficits in chronic pain