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Mapping the Neural Basis of Neuroeconomics with Functional Magnetic Resonance Imaging: A Narrative Literature Review.
Mallio, Carlo A; Buoso, Andrea; Stiffi, Massimo; Cea, Laura; Vertulli, Daniele; Bernetti, Caterina; Di Gennaro, Gianfranco; van den Heuvel, Martijn P; Beomonte Zobel, Bruno.
Afiliación
  • Mallio CA; Fondazione Policlinico Universitario Campus Bio-Medico, 00100 Rome, Italy.
  • Buoso A; Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00100 Rome, Italy.
  • Stiffi M; Fondazione Policlinico Universitario Campus Bio-Medico, 00100 Rome, Italy.
  • Cea L; Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00100 Rome, Italy.
  • Vertulli D; Fondazione Policlinico Universitario Campus Bio-Medico, 00100 Rome, Italy.
  • Bernetti C; Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00100 Rome, Italy.
  • Di Gennaro G; Fondazione Policlinico Universitario Campus Bio-Medico, 00100 Rome, Italy.
  • van den Heuvel MP; Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00100 Rome, Italy.
  • Beomonte Zobel B; Fondazione Policlinico Universitario Campus Bio-Medico, 00100 Rome, Italy.
Brain Sci ; 14(5)2024 May 18.
Article en En | MEDLINE | ID: mdl-38790489
ABSTRACT
Neuroeconomics merges neuroscience, economics, and psychology to investigate the neural basis of decision making. Decision making involves assessing outcomes with subjective value, shaped by emotions and experiences, which are crucial in economic decisions. Functional MRI (fMRI) reveals key areas of the brain, including the ventro-medial prefrontal cortex, that are involved in subjective value representation. Collaborative interdisciplinary efforts are essential for advancing the field of neuroeconomics, with implications for clinical interventions and policy design. This review explores subjective value in neuroeconomics, highlighting brain regions identified through fMRI studies.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2024 Tipo del documento: Article País de afiliación: Italia