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Decoding Spontaneous Emotional States in the Human Brain.

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Date
2016-09
Authors
Kragel, PA
Knodt, AR
Hariri, AR
LaBar, KS
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Abstract
Pattern classification of human brain activity provides unique insight into the neural underpinnings of diverse mental states. These multivariate tools have recently been used within the field of affective neuroscience to classify distributed patterns of brain activation evoked during emotion induction procedures. Here we assess whether neural models developed to discriminate among distinct emotion categories exhibit predictive validity in the absence of exteroceptive emotional stimulation. In two experiments, we show that spontaneous fluctuations in human resting-state brain activity can be decoded into categories of experience delineating unique emotional states that exhibit spatiotemporal coherence, covary with individual differences in mood and personality traits, and predict on-line, self-reported feelings. These findings validate objective, brain-based models of emotion and show how emotional states dynamically emerge from the activity of separable neural systems.
Type
Journal article
Permalink
https://hdl.handle.net/10161/12775
Published Version (Please cite this version)
10.1371/journal.pbio.2000106
Publication Info
Kragel, PA; Knodt, AR; Hariri, AR; & LaBar, KS (2016). Decoding Spontaneous Emotional States in the Human Brain. PLoS Biol, 14(9). pp. e2000106. 10.1371/journal.pbio.2000106. Retrieved from https://hdl.handle.net/10161/12775.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Hariri

Ahmad Hariri

Professor of Psychology and Neuroscience
Integrating psychology, neuroimaging, pharmacology and molecular genetics in the search for biological pathways mediating individual differences in behavior and related risk for psychopathology.
LaBar

Kevin S. LaBar

Professor of Psychology and Neuroscience
My research focuses on understanding how emotional events modulate cognitive processes in the human brain. We aim to identify brain regions that encode the emotional properties of sensory stimuli, and to show how these regions interact with neural systems supporting social cognition, executive control, and learning and memory. To achieve this goal, we use a variety of cognitive neuroscience techniques in human subject populations. These include psychophysiological monitoring, functional magnetic
Alphabetical list of authors with Scholars@Duke profiles.
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