A decade of decoding reward-related fMRI signals and where we go from here

Thorsten Kahnt*

*Corresponding author for this work

Research output: Contribution to journalReview article

6 Citations (Scopus)

Abstract

Information about potential rewards in the environment is essential for guiding adaptive behavior, and understanding neural reward processes may provide insights into neuropsychiatric dysfunctions. Over the past 10 years, multivoxel pattern analysis (MVPA) techniques have been used to study brain areas encoding information about expected and experienced outcomes. These studies have identified reward signals throughout the brain, including the striatum, medial prefrontal cortex, orbitofrontal cortex, dorsolateral prefrontal cortex, and parietal cortex. This review article discusses some of the assumptions and models that are used to interpret results from these studies, and how they relate to findings from animal electrophysiology. The article reviews and summarizes some of the key findings from MVPA studies on reward. In particular, it first focuses on studies that, in addition to mapping out the brain areas that process rewards, have provided novel insights into the coding mechanisms of value and reward. Then, it discusses examples of how multivariate imaging approaches are being used more recently to decode features of expected rewards that go beyond value, such as the identity of an expected outcome or the action required to obtain it. The study of such complex and multifaceted reward representations highlights the key advantage of using representational methods, which are uniquely able to reveal these signals and may narrow the gap between animal and human research. Applied in a clinical context, MVPA may advance our understanding of neuropsychiatric disorders and the development of novel treatment strategies.

Original languageEnglish (US)
Pages (from-to)324-333
Number of pages10
JournalNeuroimage
Volume180
DOIs
StatePublished - Oct 15 2018

Fingerprint

Reward
Magnetic Resonance Imaging
Prefrontal Cortex
Brain Mapping
Parietal Lobe
Electrophysiology
Psychological Adaptation
Brain

Keywords

  • Decision-making
  • Decoding
  • Multivoxel pattern analysis
  • Orbitofrontal cortex
  • Reward
  • fMRI

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Cite this

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abstract = "Information about potential rewards in the environment is essential for guiding adaptive behavior, and understanding neural reward processes may provide insights into neuropsychiatric dysfunctions. Over the past 10 years, multivoxel pattern analysis (MVPA) techniques have been used to study brain areas encoding information about expected and experienced outcomes. These studies have identified reward signals throughout the brain, including the striatum, medial prefrontal cortex, orbitofrontal cortex, dorsolateral prefrontal cortex, and parietal cortex. This review article discusses some of the assumptions and models that are used to interpret results from these studies, and how they relate to findings from animal electrophysiology. The article reviews and summarizes some of the key findings from MVPA studies on reward. In particular, it first focuses on studies that, in addition to mapping out the brain areas that process rewards, have provided novel insights into the coding mechanisms of value and reward. Then, it discusses examples of how multivariate imaging approaches are being used more recently to decode features of expected rewards that go beyond value, such as the identity of an expected outcome or the action required to obtain it. The study of such complex and multifaceted reward representations highlights the key advantage of using representational methods, which are uniquely able to reveal these signals and may narrow the gap between animal and human research. Applied in a clinical context, MVPA may advance our understanding of neuropsychiatric disorders and the development of novel treatment strategies.",
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A decade of decoding reward-related fMRI signals and where we go from here. / Kahnt, Thorsten.

In: Neuroimage, Vol. 180, 15.10.2018, p. 324-333.

Research output: Contribution to journalReview article

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