Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action.
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-10-01
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| Series: | PLoS Biology |
| Online Access: | http://europepmc.org/articles/PMC6207318?pdf=render |
| _version_ | 1819149796352458752 |
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| author | Jennifer C Swart Michael J Frank Jessica I Määttä Ole Jensen Roshan Cools Hanneke E M den Ouden |
| author_facet | Jennifer C Swart Michael J Frank Jessica I Määttä Ole Jensen Roshan Cools Hanneke E M den Ouden |
| author_sort | Jennifer C Swart |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T14:07:18Z |
| format | Article |
| id | doaj.art-3da67e1c99b142f79b20856c89cf7dd9 |
| institution | Directory Open Access Journal |
| issn | 1544-9173 1545-7885 |
| language | English |
| last_indexed | 2024-12-22T14:07:18Z |
| publishDate | 2018-10-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Biology |
| spelling | doaj.art-3da67e1c99b142f79b20856c89cf7dd92022-12-21T18:23:16ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852018-10-011610e200597910.1371/journal.pbio.2005979Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action.Jennifer C SwartMichael J FrankJessica I MäättäOle JensenRoshan CoolsHanneke E M den OudenMotivation 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.http://europepmc.org/articles/PMC6207318?pdf=render |
| spellingShingle | Jennifer C Swart Michael J Frank Jessica I Määttä Ole Jensen Roshan Cools Hanneke E M den Ouden Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. PLoS Biology |
| title | Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. |
| title_full | Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. |
| title_fullStr | Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. |
| title_full_unstemmed | Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. |
| title_short | Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. |
| title_sort | frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action |
| url | http://europepmc.org/articles/PMC6207318?pdf=render |
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