Appraisal of a stressful situation and the possibility to control or avoid it is thought to involve frontal-cortical mechanisms. The precise mechanism underlying this appraisal and its translation into effective stress coping (the regulation of physiological and behavioural responses) are poorly understood. Here, we propose a computational model which involves tuning motivational arousal to the appraised stressing condition. The model provides a causal explanation of the shift from active to passive coping strategies, i.e. from a condition characterised by high motivational arousal, required to deal with a situation appraised as stressful, to a condition characterised by emotional and motivational withdrawal, required when the stressful situation is appraised as uncontrollable/unavoidable. The model is motivated by results acquired via microdialysis recordings in rats and highlights the presence of two competing circuits dominated by different areas of the ventromedial prefrontal cortex: these are shown having opposite effects on several subcortical areas, affecting dopamine outflow in the striatum, and therefore controlling motivation. We start by reviewing published data supporting structure and functioning of the neural model and present the computational model itself with its essential neural mechanisms. Finally, we show the results of a new experiment, involving the condition of repeated inescapable stress, which validate most of the model's predictions

Corticolimbic catecholamines in stress: A computational model of the appraisal of controllability / Vincenzo G., Fiore; Francesco, Mannella; Marco, Mirolli; Emanuele Claudio, Latagliata; Alessandro, Valzania; Cabib, Simona; Raymond J., Dolan; PUGLISI ALLEGRA, Stefano; Gianluca, Baldassarre. - In: BRAIN STRUCTURE AND FUNCTION. - ISSN 1863-2653. - ELETTRONICO. - 220(2015), pp. 1339-1353. [10.1007/s00429-014-0727-7]

Corticolimbic catecholamines in stress: A computational model of the appraisal of controllability

CABIB, Simona;PUGLISI ALLEGRA, Stefano;
2015

Abstract

Appraisal of a stressful situation and the possibility to control or avoid it is thought to involve frontal-cortical mechanisms. The precise mechanism underlying this appraisal and its translation into effective stress coping (the regulation of physiological and behavioural responses) are poorly understood. Here, we propose a computational model which involves tuning motivational arousal to the appraised stressing condition. The model provides a causal explanation of the shift from active to passive coping strategies, i.e. from a condition characterised by high motivational arousal, required to deal with a situation appraised as stressful, to a condition characterised by emotional and motivational withdrawal, required when the stressful situation is appraised as uncontrollable/unavoidable. The model is motivated by results acquired via microdialysis recordings in rats and highlights the presence of two competing circuits dominated by different areas of the ventromedial prefrontal cortex: these are shown having opposite effects on several subcortical areas, affecting dopamine outflow in the striatum, and therefore controlling motivation. We start by reviewing published data supporting structure and functioning of the neural model and present the computational model itself with its essential neural mechanisms. Finally, we show the results of a new experiment, involving the condition of repeated inescapable stress, which validate most of the model's predictions
2015
chronic stress; dopamine; cortical control; noradrenaline; animal model; appraisal
01 Pubblicazione su rivista::01a Articolo in rivista
Corticolimbic catecholamines in stress: A computational model of the appraisal of controllability / Vincenzo G., Fiore; Francesco, Mannella; Marco, Mirolli; Emanuele Claudio, Latagliata; Alessandro, Valzania; Cabib, Simona; Raymond J., Dolan; PUGLISI ALLEGRA, Stefano; Gianluca, Baldassarre. - In: BRAIN STRUCTURE AND FUNCTION. - ISSN 1863-2653. - ELETTRONICO. - 220(2015), pp. 1339-1353. [10.1007/s00429-014-0727-7]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/549417
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