TY  - JOUR
PY  - 2012//
TI  - Predicting suicide or predicting the unpredictable in an uncertain world: Reinforcement Learning Model-Based analysis
JO  - Santé mentale au Québec
A1  - Desseilles, Martin
SP  - 107
EP  - 127
VL  - 37
IS  - 2
N2  - In general, it appears that the suicidal act is highly unpredictable with the current scientific means available. In this article, the author submits the hypothesis that predicting suicide is complex because it results in predicting a choice, in itself unpredictable. The article proposes a Reinforcement learning model-based analysis. In this model, we integrate on the one hand, four ascending modulatory neurotransmitter systems (acetylcholine, noradrenalin, serotonin, and dopamine) with their regions of respective projections and afferences, and on the other hand, various observations of brain imaging identified until now in the suicidal process.<p />  <p>Language: fr</p>
LA  - fr
SN  - 0383-6320
UR  - http://dx.doi.org/
ID  - ref1
ER  -