Andrew S. Kayser

Frontal monitoring and parietal evidence: mechanisms of error correction

ABSTRACT

When we respond to a stimulus, our decisions are based not only on external stimuli but also on our ongoing performance. If the response deviates from our goals, monitoring and decision-making brain areas interact so that future behavior may change. By taking advantage of natural variation in error salience, as measured by the RT taken to correct an error (RTEC), here we argue that an evidence accumulation framework provides a potential underlying mechanism for this variable process of error identification and correction, as evidenced by covariation of frontal monitoring and parietal decision-making processes. We study two early EEG signals linked to monitoring within medial PFC—the error-related negativity (ERN) and frontocentral theta activity—and a third EEG signal, the error positivity (Pe), that is thought to share the same parietal substrates as a signal (the P3b) proposed to reflect evidence accumulation. As predicted, our data show that on slow RTEC trials, frontal monitoring resources are less strongly employed, and the latency of the Pe is longer. Critically, the speed of the RTEC also covaries with the magnitude of subsequent neural (intertrial alpha power) and behavioral (post-error slowing) adjustments following the correction. These results are synthesized to describe a timing diagram for adaptive decision-making after errors and support a potential evidence accumulation mechanism in which error signaling is followed by rapid behavioral adjustments.




AUTHORS

  • Ana Navarro-Cebrian

  • Robert T. Knight

  • Andrew S. Kayser

Date: 2016

DOI: 10.1162/jocn_a_00962

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Oscillatory dynamics coordinating human frontal networks in support of goal maintenance

Abstract:

Humans have a capacity for hierarchical cognitive control—the ability to simultaneously control immediate actions while holding more abstract goals in mind. Neuropsychological and neuroimaging evidence suggests that hierarchical cognitive control emerges from a frontal architecture whereby prefrontal cortex coordinates neural activity in the motor cortices when abstract rules are needed to govern motor outcomes. We utilized the improved temporal resolution of human intracranial electrocorticography to investigate the mechanisms by which frontal cortical oscillatory networks communicate in support of hierarchical cognitive control. Responding according to progressively more abstract rules resulted in greater frontal network theta phase encoding (4–8 Hz) and increased prefrontal local neuronal population activity (high gamma amplitude, 80–150 Hz), which predicts trial-by-trial response times. Theta phase encoding coupled with high gamma amplitude during inter-regional information encoding, suggesting that inter-regional phase encoding is a mechanism for the dynamic instantiation of complex cognitive functions by frontal cortical subnetworks.

Authors:

  • Bradley Voytek

  • Andrew S. Kayser

  • David Badre

  • David Fegen

  • Edward F. Chang

  • Nathan E. Crone

  • Josef Parvizi

  • Robert T. Knight

  • Mark D'Esposito

Date: 2015

DOI: 10.1038/nn.4071

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Error-monitoring and post-error compensations: dissociation between perceptual failures and motor errors with and without awareness

Authors:

  • Robert T. Knight

  • Ana Navarro-Cebrian

  • Andrew S. Kayser

Date: 2013

DOI: 10.1523/JNEUROSCI.0447-13.2013

PubMed: 23884943

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Abstract:

Whether humans adjust their behavior in response to unaware errors remains a controversial issue relevant to insight in neuropsychiatric conditions. Initial error awareness studies found that the error-related negativity (ERN), an event-related potential (ERP) originating in the medial prefrontal cortex after errors, activated equally for aware and unaware errors, suggesting a candidate preconscious mechanism. However, recent studies demonstrate that the ERN decreases after unaware errors. We hypothesized that the ERN is dependent upon awareness, and predicted that previous discrepancies might be due to unaware errors not being differentiated from perceptually uncertain, low-confidence responses that might increase the ERN amplitude. Here we addressed this hypothesis by distinguishing between aware errors, unaware errors, and uncertain responses, and using stimuli (faces) associated with well established sensory ERPs to evaluate the degree of stimulus processing for each trial type. We found that while aware and unaware errors were related to failures at the time of response, uncertain responses were due to failures at the time of stimulus processing indexed by lower amplitude sensory ERPs. Moreover, uncertain responses showed similar ERN activity as aware errors, in comparison with decreased activity for unaware errors. Finally, compared with aware errors, uncertain responses and unaware errors showed reduced neural compensations, such as alpha suppression. Together these findings suggest that the ERN is activated by aware motor errors as well as sensory failures, and that both awareness and certainty are necessary for neural adaptations after errors.