Neural basis of corruption in power-holders
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
- Laboratory of Neuroeconomics, Institut des Sciences Cognitives Marc Jeannerod, CNRS, France
- Motivation, Brain & Behavior (MBB) Team, Institut du Cerveau et Moelle Epiniere, Hôpital de la Pitié-Salpêtrière, France
- Sorbonne Université, France
- Université Claude Bernard Lyon 1, France
- EmLyon, France
Figures
Figure 1
Task and design.
(A) Schematic illustration of the behavioral paradigm. Here, we show the bribe case in the Dyad scenario (i.e., the Dyad Bribe condition [DB]). This condition consists of three roles: a proposer, a …
Figure 2 with 5 supplements
Results of behaviors and computational modeling.
(A) Acceptance rate (%) as a function of context (Solo/Dyad) and the proposer’s conduct (Control/Bribe). The significance was not marked because we did not perform statistical tests directly on …
Figure 2—figure supplement 1
Results of acceptance rate and subjective ratings.
(A) Acceptance rate as a function of offer proportion (%) in all experimental conditions. Shaded areas represent SEM. (B) Post-task subjective rating. After completing the main task, participants …
Figure 2—figure supplement 2
Results of parameter recovery analysis for each parameter in the winning model.
The individual-level posterior mean was used to refer to the parameter estimate with the hierarchical Bayesian approach. Each dot represents the data of a single participant. P: proposer; PH: …
Figure 2—figure supplement 3
Posterior predictive check of the winning model.
The model prediction (i.e., mean predicted proportion of acceptance) was calculated based on the posterior distribution of the parameters estimated based on the winning model in each experimental …
Figure 2—figure supplement 4
Cross-validated posterior predictive check of the winning model.
The model prediction (i.e., mean predicted proportion of acceptance) in Run 2 was calculated based on the posterior distribution of the parameters estimated based on the winning model using the data …
Figure 2—figure supplement 5
Results of reaction time (in ms).
(A) Reaction time (ms; the right panel) as a function of the scenario (Solo/Dyad), and the proposer’s conduct (Bribe/Control) depending on specific choice (accept or reject). (B) Reaction time as a …
Figure 3 with 3 supplements
Parametric modulation of expected personal gains and potential loss for the third-party during bribery-related decision-making.
(A) Enhanced ventral part of anterior insula (vAI) signal by the modulation of the expected personal gain during bribery-related decision-making (Bribe vs. Control; GLM1a). The contrast values of …
Figure 3—figure supplement 1
Enhanced dorsal part of anterior cingulate cortex (dACC) activity during bribery-related decision-making (Bribe vs. Control; GLM1c).
The contrast values of the activated cluster were extracted for the visualization; error bars refer to SEM. Display threshold: voxel-level p (corrected) <0.001. L: left; R: right.
Figure 3—figure supplement 2
Parametric modulation of the expected loss to the third party in the temporoparietal junction/posterior superior temporal sulcus (TPJ/pSTS) after controlling for the effect of expected gains either for the proposer or the participant (GLM1b-s).
Notably, this parametric modulation only exists in the Dyad Bribe condition due to the experimental design. Display threshold: voxel-level p (corrected) <0.005. To visualize the effect of parametric …
Figure 3—figure supplement 3
Results of decoding analyses using decision-related multivoxel neural patterns of (A) the left and (B) the right temporoparietal junction/posterior superior temporal sulcus (TPJ/pSTS).
The regions of interest of TPJ was defined based on a whole-brain parcellation map from the Neurosynth database. The receiver operating characteristic curve showed a trend that the decision-related …
Figure 4 with 1 supplement
Value computation in the ventromedial prefrontal cortex (vmPFC) during bribery-related decision-making.
(A) Ventromedial prefrontal cortex (vmPFC) encodes relative subjective value (SV) in the Bribe and the Control conditions, respectively. Relative SV was defined as the SV difference between the …
Figure 4—figure supplement 1
Brain regions positively correlate relative subjective value (SV) during decision period regardless of experimental conditions (GLM2b).
Relative SV was defined as the SV difference between the chosen and the non-chosen option. Display threshold: voxel-level p (corrected) <0.001. L: left; R: right; DB: Dyad Bribe; dACC: dorsal …
Figure 5 with 1 supplement
Context-dependent anti-corruption signal and the functional connectivity results.
(A) Anti-corruption signal in dorsolateral prefrontal cortex (dlPFC) was specifically enhanced in the Dyad scenario. We defined the anti-corruption signal as the activities (i.e., contrast value) of …
Figure 5—figure supplement 1
Modulation of scenario on the dorsolateral prefrontal cortex (dlPFC) activity during bribery-related decision-making regarding specific choice.
For each participant, we extracted the contrast value within the activated clusters of dlPFC (see Figure 5A) in four experimental conditions in terms of two choices. Two-way repeated analysis of vari…
Figure 6
Illustration of the inter-subject representational similarity analysis.
We created a parameter representational dissimilarity matrix (RDM), which measures the dissimilarity across participants in the bribery-specific preference that is calculated by the Euclidean …
Tables
Author response table 1
Relationship between decision-related NAcc activity specific to corrupt decision-making with acceptance rate of bribes across individuals.
| Brain Contrast (Y) | Predictor (X) | Results |
|---|---|---|
| SB – SC | Acceptance rate of offers in the SB condition | Positive: No activated voxels Negative: No activated voxels |
| DB – DC | Acceptance rate of offers in the DB condition | Positive: Peak MNI: 12/2/2 t(37) = 3.28, p(SVC-FWE) = 0.157 Negative: No activated voxels |
| bribe – control | Mean acceptance rate of offers across SB and DB conditions | Positive: Peak MNI: 6/10/0, t(37) = 2.72, p(SVC-FWE) = 0.243 Negative: No activated voxels |
Additional files
-
Supplementary file 1
Supplementary tables.
- https://cdn.elifesciences.org/articles/63922/elife-63922-supp1-v1.docx
-
Transparent reporting form
- https://cdn.elifesciences.org/articles/63922/elife-63922-transrepform-v1.docx
