Separate Neural Networks for Gains and Losses in Intertemporal Choice / 神经科学通报·英文版
Neuroscience Bulletin
;
(6): 725-735, 2018.
Article
Dans Anglais
| WPRIM
| ID: wpr-775493
ABSTRACT
An important and unresolved question is how human brain regions process information and interact with each other in intertemporal choice related to gains and losses. Using psychophysiological interaction and dynamic causal modeling analyses, we investigated the functional interactions between regions involved in the decision-making process while participants performed temporal discounting tasks in both the gains and losses domains. We found two distinct intrinsic valuation systems underlying temporal discounting in the gains and losses domains gains were specifically evaluated in the medial regions, including the medial prefrontal and orbitofrontal cortices, and losses were evaluated in the lateral dorsolateral prefrontal cortex. In addition, immediate reward or punishment was found to modulate the functional interactions between the dorsolateral prefrontal cortex and distinct regions in both the gains and losses domains in the gains domain, the mesolimbic regions; in the losses domain, the medial prefrontal cortex, anterior cingulate cortex, and insula. These findings suggest that intertemporal choice of gains and losses might involve distinct valuation systems, and more importantly, separate neural interactions may implement the intertemporal choices of gains and losses. These findings may provide a new biological perspective for understanding the neural mechanisms underlying intertemporal choice of gains and losses.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Physiologie
/
Psychophysique
/
Récompense
/
Encéphale
/
Cartographie cérébrale
/
Imagerie diagnostique
/
Imagerie par résonance magnétique
/
Dévalorisation de la gratification différée
/
Voies nerveuses
/
Tests neuropsychologiques
Type d'étude:
Etude diagnostique
/
Étude pronostique
Limites du sujet:
Adulte
/
Femelle
/
Humains
/
Mâle
langue:
Anglais
Texte intégral:
Neuroscience Bulletin
Année:
2018
Type:
Article
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