Multiple brain networks contribute to the acquisition of bias in perceptual decision-making

Frontiers in Neuroscience
Mei-Yen ChenRussell A Poldrack

Abstract

Bias occurs in perceptual decisions when the reward associated with a particular response dominates the sensory evidence in support of a choice. However, it remains unclear how this bias is acquired and once acquired, how it influences perceptual decision processes in the brain. We addressed these questions using model-based neuroimaging in a motion discrimination paradigm where contextual cues suggested which one of two options would receive higher rewards on each trial. We found that participants gradually learned to choose the higher-rewarded option in each context when making a perceptual decision. The amount of bias on each trial was fit well by a reinforcement-learning model that estimated the subjective value of each option within the current context. The brain mechanisms underlying this bias acquisition process were similar to those observed in reward-based decision tasks: prediction errors correlated with the fMRI signals in ventral striatum, dlPFC, and parietal cortex, whereas the amount of acquired bias correlated with activity in ventromedial prefrontal (vmPFC), dorsolateral frontal (dlPFC), and parietal cortices. Moreover, psychophysiological interaction analysis revealed that as bias increased, functional connecti...Continue Reading

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Citations

Mar 24, 2016·Human Brain Mapping·Ping YuChuansheng Chen
Jan 6, 2017·Neuron·Timothy D Hanks, Christopher Summerfield
Mar 7, 2017·The European Journal of Neuroscience·Annalisa TosoniGaspare Galati
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Nov 18, 2020·Proceedings of the National Academy of Sciences of the United States of America·Zhongqiao LinTianming Yang
Jan 1, 2019·Current Behavioral Neuroscience Reports·Adam Bryant Miller, Tory A Eisenlohr-Moul
Feb 23, 2020·Drug and Alcohol Dependence·Ranjita PoudelMatthew T Sutherland

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Software Mentioned

Matlab
FSL FEAT ( FMRI Expert Analysis Tool )
FSL
FLIRT
FreeSurfer
R
Scipy
lme4
BET
MCFLIRT

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