Pattern classification based on the amygdala does not predict an individual's response to emotional stimuli.

ABSTRACT: Functional magnetic resonance imaging (fMRI) studies have often recorded robust univariate group effects in the amygdala of subjects exposed to emotional stimuli. Yet it is unclear to what extent this effect also holds true when multi-voxel pattern analysis (MVPA) is applied at the level of the individual participant. Here we sought to answer this question. To this end, we combined fMRI data from two prior studies (N = 112). For each participant, a linear support vector machine was trained to decode the valence of emotional pictures (negative, neutral, positive) based on brain activity patterns in either the amygdala (primary region-of-interest analysis) or the whole-brain (secondary exploratory analysis). The accuracy score of the amygdala-based pattern classifications was statistically s

SUBMITTER: Varkevisser T 

PROVIDER: S-EPMC10365232 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature