Temporally dissociable contributions of human medial prefrontal subregions to reward-guided learning

• Verfasst von: Hauser, Tobias U. [VerfasserIn]
• Verfasst von: Brandeis, Daniel [VerfasserIn]
• Titel: Temporally dissociable contributions of human medial prefrontal subregions to reward-guided learning
• Verf.angabe: Tobias U. Hauser, Laurence T. Hunt, Reto Iannaccone, Susanne Walitza, Daniel Brandeis, Silvia Brem, and Raymond J. Dolan
• E-Jahr: 2015
• Jahr: August 12, 2015
• Umfang: 12 S.
• Fussnoten: Gesehen am 14.02.2018
• Titel Quelle: Enthalten in: The journal of neuroscience
• Ort Quelle: Washington, DC : Soc., 1981
• Jahr Quelle: 2015
• Band/Heft Quelle: 35(2015), 32, Seite 11209-11220
• ISSN Quelle: 1529-2401
• DOI: doi:10.1523/JNEUROSCI.0560-15.2015
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: medial prefrontal cortex
• Sach-SW: activation time-courses
• Sach-SW: reward prediction error
• Sach-SW: simultaneous EEG-fMRI
• K10plus-PPN: 1569850402

Abstract

In decision making, dorsal and ventral medial prefrontal cortex show a sensitivity to key decision variables, such as reward prediction errors. It is unclear whether these signals reflect parallel processing of a common synchronous input to both regions, for example from mesocortical dopamine, or separate and consecutive stages in reward processing. These two perspectives make distinct predictions about the relative timing of feedback-related activity in each of these regions, a question we address here. To reconstruct the unique temporal contribution of dorsomedial (dmPFC) and ventromedial prefrontal cortex (vmPFC) to simultaneously measured EEG activity in human subjects, we developed a novel trialwise fMRI-informed EEG analysis that allows dissociating correlated and overlapping sources. We show that vmPFC uniquely contributes a sustained activation profile shortly after outcome presentation, whereas dmPFC contributes a later and more peaked activation pattern. This temporal dissociation is expressed mainly in the alpha band for a vmPFC signal, which contrasts with a theta based dmPFC signal. Thus, our data show reward-related vmPFC and dmPFC responses have distinct time courses and unique spectral profiles, findings that support distinct functional roles in a reward-processing network.