Signals of anticipation of reward and of mean reward rates in the human brain.
Sci Rep
; 10(1): 4287, 2020 03 09.
Article
em En
| MEDLINE
| ID: mdl-32152378
ABSTRACT
Theoretical models of dopamine function stemming from reinforcement learning theory have emphasized the importance of prediction errors, which signal changes in the expectation of impending rewards. Much less is known about the effects of mean reward rates, which may be of motivational significance due to their role in computing the optimal effort put into exploiting reward opportunities. Here, we used a reinforcement learning model to design three functional neuroimaging studies and disentangle the effects of changes in reward expectations and mean reward rates, showing recruitment of specific regions in the brainstem regardless of prediction errors. While changes in reward expectations activated ventral striatal areas as in previous studies, mean reward rates preferentially modulated the substantia nigra/ventral tegmental area, deep layers of the superior colliculi, and a posterior pontomesencephalic region. These brainstem structures may work together to set motivation and attentional efforts levels according to perceived reward opportunities.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Reforço Psicológico
/
Recompensa
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Encéfalo
/
Dopamina
/
Aprendizagem
/
Modelos Teóricos
Tipo de estudo:
Prognostic_studies
Limite:
Adult
/
Female
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Humans
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Male
Idioma:
En
Revista:
Sci Rep
Ano de publicação:
2020
Tipo de documento:
Article