» Articles » PMID: 25100234

Different Aspects of Performance Feedback Engage Different Brain Areas: Disentangling Valence and Expectancy in Feedback Processing

Overview
Journal Sci Rep
Specialty Science
Date 2014 Aug 8
PMID 25100234
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.

Citing Articles

Get out of my head: social evaluative brain states carry over into post-feedback rest and influence remembering how others view us.

Brietzke S, Barbarossa K, Meyer M Cereb Cortex. 2024; 34(7.

PMID: 39010819 PMC: 11250231. DOI: 10.1093/cercor/bhae280.


The Role of the Human Cerebellum for Learning from and Processing of External Feedback in Non-Motor Learning: A Systematic Review.

Berlijn A, Huvermann D, Schneider S, Bellebaum C, Timmann D, Minnerop M Cerebellum. 2024; 23(4):1532-1551.

PMID: 38379034 PMC: 11269477. DOI: 10.1007/s12311-024-01669-y.


The contribution of theta and delta to feedback processing in children with developmental language disorder.

Gul A, Baron L, Arbel Y J Neurodev Disord. 2023; 15(1):13.

PMID: 37069567 PMC: 10108548. DOI: 10.1186/s11689-023-09481-1.


Learning With and Without Feedback in Children With Developmental Language Disorder.

Arbel Y, Fitzpatrick I, He X J Speech Lang Hear Res. 2021; 64(5):1696-1711.

PMID: 33877883 PMC: 8608225. DOI: 10.1044/2021_JSLHR-20-00499.


Electrophysiological Examination of Feedback-Based Learning in 8-11-Year-Old Children.

Arbel Y, Fox A Front Psychol. 2021; 12:640270.

PMID: 33716909 PMC: 7947233. DOI: 10.3389/fpsyg.2021.640270.


References
1.
Mies G, van der Molen M, Smits M, Hengeveld M, van der Veen F . The anterior cingulate cortex responds differently to the validity and valence of feedback in a time-estimation task. Neuroimage. 2011; 56(4):2321-8. DOI: 10.1016/j.neuroimage.2011.04.015. View

2.
van Veen V, Holroyd C, Cohen J, Stenger V, Carter C . Errors without conflict: implications for performance monitoring theories of anterior cingulate cortex. Brain Cogn. 2004; 56(2):267-76. DOI: 10.1016/j.bandc.2004.06.007. View

3.
Kahnt T, Park S, Cohen M, Beck A, Heinz A, Wrase J . Dorsal striatal-midbrain connectivity in humans predicts how reinforcements are used to guide decisions. J Cogn Neurosci. 2008; 21(7):1332-45. DOI: 10.1162/jocn.2009.21092. View

4.
Koch K, Schachtzabel C, Wagner G, Reichenbach J, Sauer H, Schlosser R . The neural correlates of reward-related trial-and-error learning: an fMRI study with a probabilistic learning task. Learn Mem. 2008; 15(10):728-32. DOI: 10.1101/lm.1106408. View

5.
Alexander W, Brown J . Computational models of performance monitoring and cognitive control. Top Cogn Sci. 2011; 2(4):658-77. PMC: 3044326. DOI: 10.1111/j.1756-8765.2010.01085.x. View