Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action.

Autor: Jennifer C Swart, Michael J Frank, Jessica I Määttä, Ole Jensen, Roshan Cools, Hanneke E M den Ouden
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: PLoS Biology, Vol 16, Iss 10, p e2005979 (2018)
Druh dokumentu: article
ISSN: 1544-9173
1545-7885
DOI: 10.1371/journal.pbio.2005979
Popis: Motivation exerts control over behavior by eliciting Pavlovian responses, which can either match or conflict with instrumental action. We can overcome maladaptive motivational influences putatively through frontal cognitive control. However, the neurocomputational mechanisms subserving this control are unclear; does control entail up-regulating instrumental systems, down-regulating Pavlovian systems, or both? We combined electroencephalography (EEG) recordings with a motivational Go/NoGo learning task (N = 34), in which multiple Go options enabled us to disentangle selective action learning from nonselective Pavlovian responses. Midfrontal theta-band (4 Hz-8 Hz) activity covaried with the level of Pavlovian conflict and was associated with reduced Pavlovian biases rather than reduced instrumental learning biases. Motor and lateral prefrontal regions synchronized to the midfrontal cortex, and these network dynamics predicted the reduction of Pavlovian biases over and above local, midfrontal theta activity. This work links midfrontal processing to detecting Pavlovian conflict and highlights the importance of network processing in reducing the impact of maladaptive, Pavlovian biases.
Databáze: Directory of Open Access Journals
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