- Tuesday, March 13th 2018 at 16:00 - 17:00 UK (Other timezones)
- General participation info | Participate online | + Phone in United States (Toll Free): 1 877 309 2073 United States: +1 (571) 317-3129 Australia (Toll Free): 1 800 193 385 Australia: +61 2 8355 1020 Austria (Toll Free): 0 800 202148 Belgium (Toll Free): 0 800 78884 Canada (Toll Free): 1 888 455 1389 Denmark (Toll Free): 8090 1924 France (Toll Free): 0 805 541 047 Germany (Toll Free): 0 800 184 4222 Greece (Toll Free): 00 800 4414 3838 Hungary (Toll Free): (06) 80 986 255 Iceland (Toll Free): 800 9869 Ireland (Toll Free): 1 800 946 538 Israel (Toll Free): 1 809 454 830 Italy (Toll Free): 800 793887 Japan (Toll Free): 0 120 663 800 Luxembourg (Toll Free): 800 22104 Netherlands (Toll Free): 0 800 020 0182 New Zealand (Toll Free): 0 800 47 0011 Norway (Toll Free): 800 69 046 Poland (Toll Free): 00 800 1213979 Portugal (Toll Free): 800 819 575 Spain (Toll Free): 800 900 582 Sweden (Toll Free): 0 200 330 905 Switzerland (Toll Free): 0 800 740 393 United Kingdom (Toll Free): 0 800 169 0432 Access Code: 731-636-357
Motivation deficits such as apathy are pervasive in both neurological and psychiatric diseases. They are currently assessed with psychometric scales that do not give any mechanistic insight susceptible to guide therapeutic intervention. Another approach has emerged lately that consists in phenotyping the behavior of patients in motivation tests, using computational models. Motivation can be defined as the function that orients and activates the behavior according to two attributes: a content (the goal) and a quantity (the goal value). Decision theory offers a way to quantify motivation, as the cost that patients would accept to endure in order to get the benefit of achieving their goal.
In recent studies, cost has been typically measured as the amount of effort that patients would exert to obtain a particular reward. The trade-off between effort and reward was found to involve specific cortical, subcortical and neuromodulatory systems. Ideally, there would be a one-to-one mapping between specific neural components and distinct computational variables of the decision model. Thus, fitting computational models to patients’ behavior would allow inferring the dysfunctional mechanism in both cognitive terms (e.g., hyposensitivity to reward) and neural terms (e.g., lack of dopamine).
In this talk, I will present pharmacological and patient studies that provide proofs of concepts for such computational approach of motivation disorders. I will start with the case of dopamine and sensitivity to reward, and then establish further links between computational variables and the brain systems that are targets of diseases and treatments.
Principal investigator (Insert Researcher Director) at the Institut du Cerveau et de la Moelle épinière (ICM)
Scientific Head of the Prism platform for the exploration of human behavior.
Motivation, Brain & Behavior (MBB) lab
Institut du Cerveau et de la Moelle (ICM)
Hôpital de la Pitié-Salpêtrière
Paris, France