4.7 Article

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

Journal

HUMAN BRAIN MAPPING
Volume 44, Issue 12, Pages 4452-4466

Publisher

WILEY
DOI: 10.1002/hbm.26391

Keywords

amygdala; emotion; fMRI; machine learning; multi-voxel pattern analysis (MVPA); pattern classification; task reactivity

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Functional magnetic resonance imaging (fMRI) studies have shown robust univariate group effects in the amygdala for subjects exposed to emotional stimuli, but it is unclear if this effect holds true for individual participants using multi-voxel pattern analysis (MVPA). By combining fMRI data from two prior studies (N = 112), this study found that the valence of emotional pictures was encoded by spatially distributed parts of the brain rather than the amygdala alone, suggesting implications for studies targeting the amygdala in emotion regulation treatment.
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 significant for only a handful of participants (4.5%) with a mean and standard deviation of 37% & PLUSMN; 5% across all subjects (range: 28-58%; chance-level: 33%). In contrast, the accuracy score of the whole-brain pattern classifications was statistically significant in roughly half of the participants (50.9%), and had an across-subjects mean and standard deviation of 49% & PLUSMN; 6% (range: 33-62%). The current results suggest that the information conveyed by the emotional pictures was encoded by spatially distributed parts of the brain, rather than by the amygdala alone, and may be of particular relevance to studies that seek to target the amygdala in the treatment of emotion regulation problems, for example via real-time fMRI neurofeedback training.

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