ArticleNeuroImage2017
Decoding negative affect personality trait from patterns of brain activation to threat stimuli.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Personality Heterogeneity Shapes the Neural Organization of Conditioned Threat Learning.Research square · 2026Article
- Significant Structural Alterations and Functional Connectivity Alterations of Cerebellar Gray Matter in Patients With Somatic Symptom Disorder.Frontiers in neuroscience · 2022Article
- Vulnerability and Protective Factors for PTSD and Depression Symptoms Among Healthcare Workers During COVID-19: A Machine Learning Approach.Frontiers in psychiatry · 2021Article
- How do you perceive threat? It's all in your pattern of brain activity.Brain imaging and behavior · 2020Article
- Interactions between emotion and action in the brain.NeuroImage · 2020Article
- Psychiatric neuroimaging research in Brazil: historical overview, current challenges, and future opportunities.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2020Article
- Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2019Article
- Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.NeuroImage · 2019Article
- Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach.NeuroImage. Clinical · 2019Article
- Network Representations of Facial and Bodily Expressions: Evidence From Multivariate Connectivity Pattern Classification.Frontiers in neuroscience · 2019Article
- Multivariate Pattern Classification of Facial Expressions Based on Large-Scale Functional Connectivity.Frontiers in human neuroscience · 2018Article
- Neural substrates of context- and person-dependent altruistic punishment.Human brain mapping · 2017Article
- Mortality salience reduces the discrimination between in-group and out-group interactions: A functional MRI investigation using multi-voxel pattern analysis.Human brain mapping · 2017Article
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9 authors.
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Abstract
introductionPattern recognition analysis (PRA) applied to functional magnetic resonance imaging (fMRI) has been used to decode cognitive processes and identify possible biomarkers for mental illness. In the present study, we investigated whether the positive affect (PA) or negative affect (NA) personality traits could be decoded from patterns of brain activation in response to a human threat using a healthy sample.
methodsfMRI data from 34 volunteers (15 women) were acquired during a simple motor task while the volunteers viewed a set of threat stimuli that were directed either toward them or away from them and matched neutral pictures. For each participant, contrast images from a General Linear Model (GLM) between the threat versus neutral stimuli defined the spatial patterns used as input to the regression model. We applied a multiple kernel learning (MKL) regression combining information from different brain regions hierarchically in a whole brain model to decode the NA and PA from patterns of brain activation in response to threat stimuli.
resultsThe MKL model was able to decode NA but not PA from the contrast images between threat stimuli directed away versus neutral with a significance above chance. The correlation and the mean squared error (MSE) between predicted and actual NA were 0.52 (p-value=0.01) and 24.43 (p-value=0.01), respectively. The MKL pattern regression model identified a network with 37 regions that contributed to the predictions. Some of the regions were related to perception (e.g., occipital and temporal regions) while others were related to emotional evaluation (e.g., caudate and prefrontal regions).
conclusionThese results suggest that there was an interaction between the individuals' NA and the brain response to the threat stimuli directed away, which enabled the MKL model to decode NA from the brain patterns. To our knowledge, this is the first evidence that PRA can be used to decode a personality trait from patterns of brain activation during emotional contexts.
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