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Distinct neural activations correlate with maximization of reward magnitude versus frequency.
Balasubramani, Pragathi Priyadharsini; Diaz-Delgado, Juan; Grennan, Gillian; Alim, Fahad; Zafar-Khan, Mariam; Maric, Vojislav; Ramanathan, Dhakshin; Mishra, Jyoti.
Affiliation
  • Balasubramani PP; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
  • Diaz-Delgado J; Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur 208016, India.
  • Grennan G; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
  • Alim F; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
  • Zafar-Khan M; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
  • Maric V; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
  • Ramanathan D; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
  • Mishra J; Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Cereb Cortex ; 33(10): 6038-6050, 2023 05 09.
Article in En | MEDLINE | ID: mdl-36573422
Choice selection strategies and decision-making are typically investigated using multiple-choice gambling paradigms that require participants to maximize expected value of rewards. However, research shows that performance in such paradigms suffers from individual biases towards the frequency of gains such that users often choose smaller frequent gains over larger rarely occurring gains, also referred to as melioration. To understand the basis of this subjective tradeoff, we used a simple 2-choice reward task paradigm in 186 healthy human adult subjects sampled across the adult lifespan. Cortical source reconstruction of simultaneously recorded electroencephalography suggested distinct neural correlates for maximizing reward magnitude versus frequency. We found that activations in the parahippocampal and entorhinal areas, which are typically linked to memory function, specifically correlated with maximization of reward magnitude. In contrast, maximization of reward frequency was correlated with activations in the lateral orbitofrontal cortices and operculum, typical areas involved in reward processing. These findings reveal distinct neural processes serving reward frequency versus magnitude maximization that can have clinical translational utility to optimize decision-making.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prefrontal Cortex / Gambling Type of study: Prognostic_studies Limits: Adult / Humans Language: En Journal: Cereb Cortex Journal subject: CEREBRO Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prefrontal Cortex / Gambling Type of study: Prognostic_studies Limits: Adult / Humans Language: En Journal: Cereb Cortex Journal subject: CEREBRO Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States