Literature DB >> 17712267

Learning by doing: an fMRI study of feedback-related brain activations.

Josep Marco-Pallarés1, Sandra Verena Müller, Thomas F Münte.   

Abstract

Extracting meaningful information from the positive and negative outcomes of actions is a key requirement for learning. To define the neural correlates of feedback processing, rapid event-related functional magnetic resonance imaging was used in an associative learning paradigm in normal human volunteers. Positive (compared with negative) feedback was associated with activations in the ventral striatum, midbrain and anterior and posterior cingulate cortex. No activations were seen for the comparison negative >positive feedback. Blood oxygenation level-dependent responses from the midbrain and the anterior cingulate cortex showed a phasic increase in response to positive feedback, whereas a decrease in response was seen for negative feedback. These results underscore the role of the reward system in feedback learning.

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Year:  2007        PMID: 17712267     DOI: 10.1097/WNR.0b013e3282e9a58c

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  19 in total

1.  Theta oscillations during the processing of monetary loss and gain: a perspective on gender and impulsivity.

Authors:  Chella Kamarajan; Madhavi Rangaswamy; David B Chorlian; Niklas Manz; Yongqiang Tang; Ashwini K Pandey; Bangalore N Roopesh; Arthur T Stimus; Bernice Porjesz
Journal:  Brain Res       Date:  2008-06-24       Impact factor: 3.252

2.  Temporal dynamics of reward processing revealed by magnetoencephalography.

Authors:  Nuria Doñamayor; Josep Marco-Pallarés; Marcus Heldmann; M Ariel Schoenfeld; Thomas F Münte
Journal:  Hum Brain Mapp       Date:  2011-02-08       Impact factor: 5.038

Review 3.  The centre of the brain: topographical model of motor, cognitive, affective, and somatosensory functions of the basal ganglia.

Authors:  Marie Arsalidou; Emma G Duerden; Margot J Taylor
Journal:  Hum Brain Mapp       Date:  2012-06-19       Impact factor: 5.038

4.  Topography, power, and current source density of θ oscillations during reward processing as markers for alcohol dependence.

Authors:  Chella Kamarajan; Madhavi Rangaswamy; Niklas Manz; David B Chorlian; Ashwini K Pandey; Bangalore N Roopesh; Bernice Porjesz
Journal:  Hum Brain Mapp       Date:  2011-04-21       Impact factor: 5.038

5.  Reward networks in the brain as captured by connectivity measures.

Authors:  Estela Camara; Antoni Rodriguez-Fornells; Zheng Ye; Thomas F Münte
Journal:  Front Neurosci       Date:  2009-12-15       Impact factor: 4.677

6.  Neural Correlates of Success and Failure Signals During Neurofeedback Learning.

Authors:  Joaquim Radua; Teodora Stoica; Dustin Scheinost; Christopher Pittenger; Michelle Hampson
Journal:  Neuroscience       Date:  2016-04-05       Impact factor: 3.590

7.  Individual differences in reinforcement learning: behavioral, electrophysiological, and neuroimaging correlates.

Authors:  Diane L Santesso; Daniel G Dillon; Jeffrey L Birk; Avram J Holmes; Elena Goetz; Ryan Bogdan; Diego A Pizzagalli
Journal:  Neuroimage       Date:  2008-07-02       Impact factor: 6.556

8.  Beyond Reward Prediction Errors: Human Striatum Updates Rule Values During Learning.

Authors:  Ian Ballard; Eric M Miller; Steven T Piantadosi; Noah D Goodman; Samuel M McClure
Journal:  Cereb Cortex       Date:  2018-11-01       Impact factor: 5.357

9.  Functional connectivity of reward processing in the brain.

Authors:  Estela Camara; Antoni Rodriguez-Fornells; Thomas F Münte
Journal:  Front Hum Neurosci       Date:  2009-01-16       Impact factor: 3.169

10.  Human striatum is differentially activated by delayed, omitted, and immediate registering feedback.

Authors:  Christin Kohrs; Nicole Angenstein; Henning Scheich; André Brechmann
Journal:  Front Hum Neurosci       Date:  2012-08-30       Impact factor: 3.169

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