Literature DB >> 23658191

Frontal theta overrides pavlovian learning biases.

James F Cavanagh1, Ian Eisenberg, Marc Guitart-Masip, Quentin Huys, Michael J Frank.   

Abstract

Pavlovian biases influence learning and decision making by intricately coupling reward seeking with action invigoration and punishment avoidance with action suppression. This bias is not always adaptive-it can often interfere with instrumental requirements. The prefrontal cortex is thought to help resolve such conflict between motivational systems, but the nature of this control process remains unknown. EEG recordings of midfrontal theta band power are sensitive to conflict and predictive of adaptive control over behavior, but it is not clear whether this signal reflects control over conflict between motivational systems. Here we used a task that orthogonalized action requirements and outcome valence while recording concurrent EEG in human participants. By applying a computational model of task performance, we derived parameters reflective of the latent influence of Pavlovian bias and how it was modulated by midfrontal theta power during motivational conflict. Between subjects, those who performed better under Pavlovian conflict exhibited higher midfrontal theta power. Within subjects, trial-to-trial variance in theta power was predictive of ability to overcome the influence of the Pavlovian bias, and this effect was most pronounced in subjects with higher midfrontal theta to conflict. These findings demonstrate that midfrontal theta is not only a sensitive index of prefrontal control, but it can also reflect the application of top-down control over instrumental processes.

Entities:  

Mesh:

Year:  2013        PMID: 23658191      PMCID: PMC3707146          DOI: 10.1523/JNEUROSCI.5754-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  35 in total

1.  Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold.

Authors:  James F Cavanagh; Thomas V Wiecki; Michael X Cohen; Christina M Figueroa; Johan Samanta; Scott J Sherman; Michael J Frank
Journal:  Nat Neurosci       Date:  2011-09-25       Impact factor: 24.884

2.  Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks.

Authors:  Jürgen Kayser; Craig E Tenke
Journal:  Clin Neurophysiol       Date:  2005-12-13       Impact factor: 3.708

3.  The electrophysiological dynamics of interference during the Stroop task.

Authors:  Simon Hanslmayr; Bernhard Pastötter; Karl-Heinz Bäuml; Sieglinde Gruber; Maria Wimber; Wolfgang Klimesch
Journal:  J Cogn Neurosci       Date:  2008-02       Impact factor: 3.225

4.  A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's disease.

Authors:  Jeff A Beeler; Michael J Frank; John McDaid; Erin Alexander; Susie Turkson; Maria Sol Bernardez Sarria; Maria Sol Bernandez; Daniel S McGehee; Xiaoxi Zhuang
Journal:  Cell Rep       Date:  2012-12-13       Impact factor: 9.423

5.  The role of the ventromedial prefrontal cortex in abstract state-based inference during decision making in humans.

Authors:  Alan N Hampton; Peter Bossaerts; John P O'Doherty
Journal:  J Neurosci       Date:  2006-08-09       Impact factor: 6.167

6.  Feedback-related negativity codes prediction error but not behavioral adjustment during probabilistic reversal learning.

Authors:  Henry W Chase; Rachel Swainson; Lucy Durham; Laura Benham; Roshan Cools
Journal:  J Cogn Neurosci       Date:  2010-02-10       Impact factor: 3.225

Review 7.  Reward, motivation, and reinforcement learning.

Authors:  Peter Dayan; Bernard W Balleine
Journal:  Neuron       Date:  2002-10-10       Impact factor: 17.173

Review 8.  Modulation of striatal projection systems by dopamine.

Authors:  Charles R Gerfen; D James Surmeier
Journal:  Annu Rev Neurosci       Date:  2011       Impact factor: 12.449

9.  Frontal midline theta and N200 amplitude reflect complementary information about expectancy and outcome evaluation.

Authors:  Azadeh Hajihosseini; Clay B Holroyd
Journal:  Psychophysiology       Date:  2013-03-22       Impact factor: 4.016

Review 10.  Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex.

Authors:  Rudolf N Cardinal; John A Parkinson; Jeremy Hall; Barry J Everitt
Journal:  Neurosci Biobehav Rev       Date:  2002-05       Impact factor: 8.989

View more
  62 in total

Review 1.  The expected value of control: an integrative theory of anterior cingulate cortex function.

Authors:  Amitai Shenhav; Matthew M Botvinick; Jonathan D Cohen
Journal:  Neuron       Date:  2013-07-24       Impact factor: 17.173

2.  Cortical Oscillatory Mechanisms Supporting the Control of Human Social-Emotional Actions.

Authors:  Bob Bramson; Ole Jensen; Ivan Toni; Karin Roelofs
Journal:  J Neurosci       Date:  2018-05-23       Impact factor: 6.167

3.  fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning.

Authors:  Michael J Frank; Chris Gagne; Erika Nyhus; Sean Masters; Thomas V Wiecki; James F Cavanagh; David Badre
Journal:  J Neurosci       Date:  2015-01-14       Impact factor: 6.167

4.  Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action.

Authors:  Jennifer C Swart; Monja I Froböse; Jennifer L Cook; Dirk Em Geurts; Michael J Frank; Roshan Cools; Hanneke Em den Ouden
Journal:  Elife       Date:  2017-05-15       Impact factor: 8.140

5.  Top-down response suppression mitigates action tendencies triggered by a motivating stimulus.

Authors:  Scott M Freeman; Ieva Razhas; Adam R Aron
Journal:  Curr Biol       Date:  2014-01-09       Impact factor: 10.834

6.  Modulatory effects of positive mood and approach motivation on reward processing: Two sides of the same coin?

Authors:  Katharina Paul; Gilles Pourtois; Eddie Harmon-Jones
Journal:  Cogn Affect Behav Neurosci       Date:  2020-04       Impact factor: 3.282

7.  Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning.

Authors:  Anne Gabrielle Eva Collins; Michael Joshua Frank
Journal:  Cognition       Date:  2016-04-12

8.  Suppressing a motivationally-triggered action tendency engages a response control mechanism that prevents future provocation.

Authors:  Scott M Freeman; Dominic Alvernaz; Alexandra Tonnesen; David Linderman; Adam R Aron
Journal:  Neuropsychologia       Date:  2015-01-13       Impact factor: 3.139

Review 9.  Interpersonal dysfunction in borderline personality: a decision neuroscience perspective.

Authors:  Michael N Hallquist; Nathan T Hall; Alison M Schreiber; Alexandre Y Dombrovski
Journal:  Curr Opin Psychol       Date:  2017-09-23

10.  Reward feedback processing in children and adolescents: medial frontal theta oscillations.

Authors:  Michael J Crowley; Stefon J R van Noordt; Jia Wu; Rebecca E Hommer; Mikle South; R M P Fearon; Linda C Mayes
Journal:  Brain Cogn       Date:  2013-12-18       Impact factor: 2.310

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.