Cortical electrophysiological network dynamics of feedback learning

Cohen, Michael X; Wilmes, Katharina Anna; Vijver, Irene van de

doi:10.1016/j.tics.2011.10.004

Cited by 134 publications

(128 citation statements)

References 95 publications

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“…Therefore, we cannot infer from our data that an FRN generator is necessarily located within VS. However, coupling of hemodynamic and electrophysiological approaches clearly implies an at least modulating contribution of VS to FRN/ FRP scalp maps, possibly via synchronization of VS and medial frontal, including cingulate regions as suggested by current models (Cohen et al, 2011b). Lesion studies might be helpful to identify the sources of scalp potentials and areas that are interconnected with source areas.…”

Section: Striatal Contributions To Frn/frp Generationmentioning

confidence: 84%

A Single-Trial Estimation of the Feedback-Related Negativity and Its Relation to BOLD Responses in a Time-Estimation Task

et al. 2014

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Section: Striatal Contributions To Frn/frp Generationmentioning

confidence: 84%

A Single-Trial Estimation of the Feedback-Related Negativity and Its Relation to BOLD Responses in a Time-Estimation Task

et al. 2014

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“…Specifically, decreases in phasic dopamine firing are thought to disinhibit while increases inhibit ACC neurons, resulting in a more negative or positive signal, respectively. FRN, the difference wave computed by subtracting positive from negative outcomes, is thought to guide optimal decision making on a trial-by-trial basis (Cohen and Ranganath, 2005) and changes with personality, age, and psychopathology (Cohen et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

The Feedback-Related Negativity Signals Salience Prediction Errors, Not Reward Prediction Errors

2013

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Modulations of the feedback-related negativity (FRN) event-related potential (ERP) have been suggested as a potential biomarker in psychopathology.A dominant theory about this signal contends that it reflects the operation of the neural system underlying reinforcement learning in humans. The theory suggests that this frontocentral negative deflection in the ERP 230 -270 ms after the delivery of a probabilistic reward expresses a prediction error signal derived from midbrain dopaminergic projections to the anterior cingulate cortex. We tested this theory by investigating whether FRN will also be observed for an inherently aversive outcome: physical pain. In another session, the outcome was monetary reward instead of pain. As predicted, unexpected reward omissions (a negative reward prediction error) yielded a more negative deflection relative to unexpected reward delivery. Surprisingly, unexpected pain omission (a positive reward prediction error) also yielded a negative deflection relative to unexpected pain delivery. Our data challenge the theory by showing that the FRN expresses aversive prediction errors with the same sign as reward prediction errors. Both FRNs were spatiotemporally and functionally equivalent. We suggest that FRN expresses salience prediction errors rather than reward prediction errors.

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“…We targeted the phase coupling or synchronization of electroencephalographic (EEG) rhythms in the theta frequency band (∼6 Hz) between medial frontal cortex (MFC) and lateral prefrontal cortex (lPFC) because correlative studies have suggested that functional cortical circuits for adaptive control may emerge by theta phase coupling between these regions, specifically following control-related prompts such as motor errors, conflict, or negative performance feedback (15,16). We sought to isolate and alter the spectral and spatial properties of connectivity, using nine-channel high-definition transcranial alternating current stimulation (or HD-tACS), which promises an unprecedented degree of anatomical precision and the capability to conduct multifocal modifications of neural activity in a frequency-specific and bidirectional manner.…”

mentioning

confidence: 99%

Disruption and rescue of interareal theta phase coupling and adaptive behavior

Reinhart

2017

Proc. Natl. Acad. Sci. U.S.A.

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Rescuing executive functions in people with neurological and neuropsychiatric disorders has been a major goal of psychology and neuroscience for decades. Innovative computer-training regimes for executive functions have made tremendous inroads, yet the positive effects of training have not always translated into improved cognitive functioning and often take many days to emerge. In the present study, we asked whether it was possible to immediately change components of executive function by directly manipulating neural activity using a stimulation technology called high-definition transcranial alternating current stimulation (HDtACS). Twenty minutes of inphase stimulation over medial frontal cortex (MFC) and right lateral prefrontal cortex (lPFC) synchronized theta (∼6 Hz) rhythms between these regions in a frequency and spatially specific manner and rapidly improved adaptive behavior with effects lasting longer than 40 min. In contrast, antiphase stimulation in the same individuals desynchronized MFC-lPFC theta phase coupling and impaired adaptive behavior. Surprisingly, the exogenously driven impairments in performance could be instantly rescued by reversing the phase angle of alternating current. The results suggest executive functions can be rapidly upor down-regulated by modulating theta phase coupling of distant frontal cortical areas and can contribute to the development of tools for potentially normalizing executive dysfunction in patient populations.high-definition transcranial alternating current stimulation | adaptive control | phase synchronization | medial frontal cortex | lateral prefrontal cortex A daptive control refers to the dynamic processing that coordinates goal pursuit, allowing us to adjust our actions to changing situations and improve performance after events such as negative feedback from the environment (1, 2). Impaired adaptive control is observed in many neurological and neuropsychiatric disorders such as schizophrenia, autism, Alzheimer's disease, attention-deficit/hyperactivity disorder, obsessivecompulsive disorder, Parkinson's disease, and epilepsy (3-9). Thus, it is not surprising that efforts to improve adaptive control have long characterized the fields of psychology and neuroscience.Computerized training has proven to be effective in the domains of language, motor function, and vision (10, 11). However, in other cognitive domains such as attention, working memory, and adaptive control, the effects of computer training interventions have been contradictory and less clear (12)(13)(14). One significant drawback to cognitive training is the duration of task practice required, often on the order of days and weeks, before desired results are achieved. Here, we asked whether it was possible to use brain stimulation technology to induce immediate and lasting neuroplastic changes in the functional connectivity hypothesized to underlie the adaptive control of behavior and learning in humans.We targeted the phase coupling or synchronization of electroencephalographic (EEG) rhythms in the ...

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Cortical electrophysiological network dynamics of feedback learning

Cited by 134 publications

References 95 publications

A Single-Trial Estimation of the Feedback-Related Negativity and Its Relation to BOLD Responses in a Time-Estimation Task

A Single-Trial Estimation of the Feedback-Related Negativity and Its Relation to BOLD Responses in a Time-Estimation Task

The Feedback-Related Negativity Signals Salience Prediction Errors, Not Reward Prediction Errors

Disruption and rescue of interareal theta phase coupling and adaptive behavior

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