A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect DOI Creative Commons
Luke J. Chang, Peter J. Gianaros, Stephen B. Manuck

et al.

PLoS Biology, Journal Year: 2015, Volume and Issue: 13(6), P. e1002180 - e1002180

Published: June 22, 2015

Neuroimaging has identified many correlates of emotion but not yet yielded brain representations predictive the intensity emotional experiences in individuals. We used machine learning to identify a sensitive and specific signature responses aversive images. This predicted negative individual participants cross validation (n =121) test = 61) samples (high-low 93.5% accuracy). It was unresponsive physical pain (emotion-pain 92% discriminative accuracy), demonstrating that it is representation generalized arousal or salience. The comprised mesoscale patterns spanning multiple cortical subcortical systems, with no single system necessary sufficient for predicting experience. Furthermore, reducible activity traditional "emotion-related" regions (e.g., amygdala, insula) resting-state networks "salience," "default mode"). Overall, this work identifies differentiable neural components pain, providing basis new, brain-based taxonomies affective processes.

Language: Английский

A functional architecture of the human brain: emerging insights from the science of emotion DOI
Kristen A. Lindquist, Lisa Feldman Barrett

Trends in Cognitive Sciences, Journal Year: 2012, Volume and Issue: 16(11), P. 533 - 540

Published: Oct. 2, 2012

Language: Английский

Citations

383
The Medial Prefrontal Cortex and the Emergence of Self-Conscious Emotion in Adolescence DOI
Leah H. Somerville, Rebecca M. Jones, Erika J. Ruberry

et al.

Psychological Science, Journal Year: 2013, Volume and Issue: 24(8), P. 1554 - 1562

Published: June 26, 2013

In the present study, we examined relationship between developmental modulation of socioaffective brain systems and adolescents’ preoccupation with social evaluation. Child, adolescent, adult participants viewed cues indicating that a camera was alternately off, warming up, or projecting their image to peer during acquisition behavioral-, autonomic-, neural-response (functional MRI) data. Believing actively watching them sufficient induce self-conscious emotion rose in magnitude from childhood adolescence partially subsided into adulthood. Autonomic arousal uniquely heightened adolescents. These behavioral patterns were paralleled by emergent engagement medial prefrontal cortex (MPFC) striatum-MPFC connectivity adolescence, which are thought promote motivated behavior adolescence. findings demonstrate self-consciousness is related age-dependent sensitivity critical processes. Further, unique interactions MPFC striatum may provide mechanism social-evaluation contexts influence adolescent behavior.

Language: Английский

Citations

375
GRAPES—Grounding representations in action, perception, and emotion systems: How object properties and categories are represented in the human brain DOI Open Access
Alex Martin

Psychonomic Bulletin & Review, Journal Year: 2015, Volume and Issue: 23(4), P. 979 - 990

Published: May 13, 2015

Language: Английский

Citations

375
Predictions and the brain: how musical sounds become rewarding DOI

Valorie N. Salimpoor,

David H. Zald, Robert J. Zatorre

et al.

Trends in Cognitive Sciences, Journal Year: 2014, Volume and Issue: 19(2), P. 86 - 91

Published: Dec. 20, 2014

Language: Английский

Citations

357
A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect DOI Creative Commons
Luke J. Chang, Peter J. Gianaros, Stephen B. Manuck

et al.

PLoS Biology, Journal Year: 2015, Volume and Issue: 13(6), P. e1002180 - e1002180

Published: June 22, 2015

Neuroimaging has identified many correlates of emotion but not yet yielded brain representations predictive the intensity emotional experiences in individuals. We used machine learning to identify a sensitive and specific signature responses aversive images. This predicted negative individual participants cross validation (n =121) test = 61) samples (high-low 93.5% accuracy). It was unresponsive physical pain (emotion-pain 92% discriminative accuracy), demonstrating that it is representation generalized arousal or salience. The comprised mesoscale patterns spanning multiple cortical subcortical systems, with no single system necessary sufficient for predicting experience. Furthermore, reducible activity traditional "emotion-related" regions (e.g., amygdala, insula) resting-state networks "salience," "default mode"). Overall, this work identifies differentiable neural components pain, providing basis new, brain-based taxonomies affective processes.

Language: Английский

Citations

356