Functional localization and categorization of intentional decisions in humans: A meta-analysis of brain imaging studies

Neuroimage. 2021 Nov 15:242:118468. doi: 10.1016/j.neuroimage.2021.118468. Epub 2021 Aug 11.

Abstract

Brain-imaging research on intentional decision-making often employs a "free-choice" paradigm, in which participants choose among options with identical values or outcomes. Although the medial prefrontal cortex has commonly been associated with choices, there is no consensus on the wider network that underlies diverse intentional decisions and behaviours. Our systematic literature search identified 35 fMRI/PET experiments using various free-choice paradigms, with appropriate control conditions using external instructions. An Activation Likelihood Estimate (ALE) meta-analysis showed that, compared with external instructions, intentional decisions consistently activate the medial and dorsolateral prefrontal cortex, the left insula and the inferior parietal lobule. We then categorized the studies into four different types according to their experimental designs: reactive motor intention, perceptual intention, inhibitory intention, and cognitive intention. We conducted conjunction and contrast meta-analyses to identify consistent and selective spatial convergence of brain activation within each specific category of intentional decision. Finally, we used meta-analytic decoding to probe cognitive processes underlying free choices. Our findings suggest that the neurocognitive process underlying intentional decision incorporates anatomically separated components subserving distinct cognitive and computational roles.

Keywords: ALE; Free choice; Intentional decision; Meta-analysis; PET; fMRI.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Brain / diagnostic imaging*
  • Brain Mapping
  • Decision Making / physiology*
  • Dorsolateral Prefrontal Cortex / diagnostic imaging
  • Executive Function / physiology
  • Humans
  • Likelihood Functions
  • Magnetic Resonance Imaging / methods*
  • Neuroimaging / methods*
  • Parietal Lobe / diagnostic imaging
  • Positron Emission Tomography Computed Tomography / methods*