4.6 Article

Error-likelihood prediction in the medial frontal cortex: A critical evaluation

Journal

CEREBRAL CORTEX
Volume 17, Issue 7, Pages 1570-1581

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhl068

Keywords

ACC; dopamine; error processing; fMRI; reinforcement learning; stop signal

Categories

Funding

  1. NIMH NIH HHS [K01 MH065241, MH062196, MH069047, K01 MH065241-05, F31 MH069047, P50 MH062196] Funding Source: Medline

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A recent study has proposed that posterior regions of the medial frontal cortex (pMFC) learn to predict the likelihood of errors ccurring in a given task context. A key prediction of the errorlZelihood (EL) hypothesis is that the pMFC should exhibit enhanced activity to cues that are predictive of high compared with low error rates. We conducted 3 experiments, 2 using functional neuroimaging and 1 using event-related potentials, to test this prediction in human volunteers. The 3 experiments replicated previous research in showing clear evidence of increased pMFC activity associated with errors, conflict, negative feedback, and other aspects of task performance. However, none of the experiments yielded evidence for n effect of cue-signaled EL on pMFC activity or any indication that uch an effect developed with learning. We conclude that although the EL hypothesis presents an elegant integrative account of pMFC function, it requires additional empirical support to remain tenable.

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