Neural correlates of effort-based behavioral inconsistency. (April 2019)
- Record Type:
- Journal Article
- Title:
- Neural correlates of effort-based behavioral inconsistency. (April 2019)
- Main Title:
- Neural correlates of effort-based behavioral inconsistency
- Authors:
- Bernacer, Javier
Martinez-Valbuena, Ivan
Martinez, Martin
Pujol, Nuria
Luis, Elkin
Ramirez-Castillo, David
Pastor, Maria A. - Abstract:
- Abstract: According to the theory of value-based decision making, subjects tend to choose the most valuable among a set of options. However, agents may not be consistent when facing the same decision several times. In this paper, Shannon's entropy (H) is employed as a measure of behavioral inconsistency: it is a central measure of information theory that, applied to decision making, allows the estimation of behavioral preferences among a set of options. We scanned (functional magnetic resonance imaging, fMRI) 24 young (18–25 year) subjects (14 female) while performing a decision-making task, where monetary rewards were devalued by physical effort (minutes running in the treadmill) and risk. Twenty different pairs of options were presented nine times each, and H was calculated for each pair and subject. Behavioral analyses showed that subjective value (SV) significantly explained agents' preferences only in pairs with a low inconsistent response. Averaged response time positively correlated with H, confirming entropy as an indicator of choice difficulty. Group analyses on fMRI data revealed a cluster in the paracingulate cortex as the neural correlate of H. Besides, BOLD signal in the posterior cingulate correlated with the SV of the pair only in consistent decisions, confirming that SV loses its explanatory power on highly inconsistent decisions. Finally, the anterior and central cingulate were especially recruited when predicting a secured effortless reward, compared with aAbstract: According to the theory of value-based decision making, subjects tend to choose the most valuable among a set of options. However, agents may not be consistent when facing the same decision several times. In this paper, Shannon's entropy (H) is employed as a measure of behavioral inconsistency: it is a central measure of information theory that, applied to decision making, allows the estimation of behavioral preferences among a set of options. We scanned (functional magnetic resonance imaging, fMRI) 24 young (18–25 year) subjects (14 female) while performing a decision-making task, where monetary rewards were devalued by physical effort (minutes running in the treadmill) and risk. Twenty different pairs of options were presented nine times each, and H was calculated for each pair and subject. Behavioral analyses showed that subjective value (SV) significantly explained agents' preferences only in pairs with a low inconsistent response. Averaged response time positively correlated with H, confirming entropy as an indicator of choice difficulty. Group analyses on fMRI data revealed a cluster in the paracingulate cortex as the neural correlate of H. Besides, BOLD signal in the posterior cingulate correlated with the SV of the pair only in consistent decisions, confirming that SV loses its explanatory power on highly inconsistent decisions. Finally, the anterior and central cingulate were especially recruited when predicting a secured effortless reward, compared with a secured reward that involved a maximum effort. Our study shows that different regions of the cingulate cortex are involved in choice inconsistency, SV and processing effort costs. … (more)
- Is Part Of:
- Cortex. Volume 113(2019)
- Journal:
- Cortex
- Issue:
- Volume 113(2019)
- Issue Display:
- Volume 113, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 113
- Issue:
- 2019
- Issue Sort Value:
- 2019-0113-2019-0000
- Page Start:
- 96
- Page End:
- 110
- Publication Date:
- 2019-04
- Subjects:
- Choice difficulty -- Cingulate cortex -- Discounting -- Physical effort -- Shannon's entropy
Neuropsychology -- Periodicals
Nervous system -- Periodicals
Neurology -- Periodicals
Psychophysiology -- Periodicals
Behavior -- Periodicals
Neurology -- Periodicals
612.825 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00109452 ↗
http://www.sciencedirect.com/science/journal/00109452 ↗
http://www.cortex-online.org ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cortex.2018.12.005 ↗
- Languages:
- English
- ISSNs:
- 0010-9452
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3477.150000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9733.xml