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J Neurosci. 2015 Aug 12;35(32):11209-20. doi: 10.1523/JNEUROSCI.0560-15.2015.

Temporally Dissociable Contributions of Human Medial Prefrontal Subregions to Reward-Guided Learning.

Author information

1
Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom, University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, 8032 Zürich, Switzerland, t.hauser@ucl.ac.uk laurence.hunt@ucl.ac.uk.
2
Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom, t.hauser@ucl.ac.uk laurence.hunt@ucl.ac.uk.
3
University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, 8032 Zürich, Switzerland.
4
University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, 8032 Zürich, Switzerland, Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland, Zurich Center for Integrative Human Physiology, University of Zurich, 8057 Zurich, Switzerland.
5
University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, 8032 Zürich, Switzerland, Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland, Zurich Center for Integrative Human Physiology, University of Zurich, 8057 Zurich, Switzerland, Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, 68159 Mannheim, Germany, and.
6
University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, 8032 Zürich, Switzerland, Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland.
7
Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom, Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, United Kingdom.

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.

SIGNIFICANCE STATEMENT:

Multiple subregions of the medial prefrontal cortex are known to be involved in decision making and learning, and expose similar response patterns in fMRI. Here, we used a novel approach to analyzing simultaneous EEG-fMRI that allows to dissociate the individual time courses of brain regions. We find that vmPFC and dmPFC have distinguishable time courses and time-frequency patterns.

KEYWORDS:

activation time-courses; medial prefrontal cortex; reward prediction error; simultaneous EEG-fMRI

PMID:
26269631
PMCID:
PMC4532755
DOI:
10.1523/JNEUROSCI.0560-15.2015
[Indexed for MEDLINE]
Free PMC Article

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