Hierarchy of prediction errors for auditory events in human temporal and frontal cortex

Stefan Dürschmid*, Erik Edwards, Christoph Reichert, Callum Dewar, Hermann Hinrichs, Hans Jochen Heinze, Heidi E. Kirsch, Sarang S. Dalal, Leon Y. Deouell, Robert T. Knight

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

95 Scopus citations

Abstract

Predictive coding theories posit that neural networks learn statistical regularities in the environment for comparison with actual outcomes, signaling a prediction error (PE) when sensory deviation occurs. PE studies in audition have capitalized on low-frequency event-related potentials (LF-ERPs), such as the mismatch negativity. However, local cortical activity is well-indexed by higher-frequency bands [high-γ band (Hγ): 80-150 Hz]. We compared patterns of human Hγ and LF-ERPs in deviance detection using electrocorticographic recordings from subdural electrodes over frontal and temporal cortices. Patients listened to trains of task-irrelevant tones in two conditions differing in the predictability of a deviation from repetitive background stimuli (fully predictable vs. unpredictable deviants). We found deviance-related responses in both frequency bands over lateral temporal and inferior frontal cortex, with an earlier latency for Hγ than for LF-ERPs. Critically, frontal Hγ activity but not LF-ERPs discriminated between fully predictable and unpredictable changes, with frontal cortex sensitive to unpredictable events. The results highlight the role of frontal cortex and Hγ activity in deviance detection and PE generation.

Original languageAmerican English
Pages (from-to)6755-6760
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume113
Issue number24
DOIs
StatePublished - 14 Jun 2016

Bibliographical note

Funding Information:
This work was supported by the Federal Ministry of Education and Research within Forschungscampus Stimulate Grant 13GW0095D (to C.R.), the BMBF Forschungscampus Stimulate (H.H. and H.-J.H.), DFG Grants He 1531/11-1 (to H.-J.H.) and SFB 779 (to H.-J.H.), and the Land Sachsen-Anhalt Exzellenzförderung (H.-J.H.). Support for L.Y.D. was from Israel Science Foundation Grant 832/2008. Support for R.T.K. was from NINDS Grant R3721135 and the Nielsen Corporation.

Keywords

  • Frontal cortex
  • High γ-activity
  • Mismatch negativity
  • Prediction error
  • Predictive coding

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