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Chemosensory Cues to Conspecific Emotional Stress Activate Amygdala in Humans

Overview of attention for article published in PLOS ONE, July 2009
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Title
Chemosensory Cues to Conspecific Emotional Stress Activate Amygdala in Humans
Published in
PLOS ONE, July 2009
DOI 10.1371/journal.pone.0006415
Pubmed ID
Authors

Lilianne R. Mujica-Parodi, Helmut H. Strey, Blaise Frederick, Robert Savoy, David Cox, Yevgeny Botanov, Denis Tolkunov, Denis Rubin, Jochen Weber

Abstract

Alarm substances are airborne chemical signals, released by an individual into the environment, which communicate emotional stress between conspecifics. Here we tested whether humans, like other mammals, are able to detect emotional stress in others by chemosensory cues. Sweat samples collected from individuals undergoing an acute emotional stressor, with exercise as a control, were pooled and presented to a separate group of participants (blind to condition) during four experiments. In an fMRI experiment and its replication, we showed that scanned participants showed amygdala activation in response to samples obtained from donors undergoing an emotional, but not physical, stressor. An odor-discrimination experiment suggested the effect was primarily due to emotional, and not odor, differences between the two stimuli. A fourth experiment investigated behavioral effects, demonstrating that stress samples sharpened emotion-perception of ambiguous facial stimuli. Together, our findings suggest human chemosensory signaling of emotional stress, with neurobiological and behavioral effects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 1%
United States 3 1%
France 2 <1%
Germany 2 <1%
United Kingdom 2 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Czechia 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 225 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 17%
Student > Bachelor 33 14%
Researcher 31 13%
Student > Master 29 12%
Professor > Associate Professor 20 8%
Other 55 23%
Unknown 32 13%
Readers by discipline Count As %
Psychology 75 31%
Agricultural and Biological Sciences 39 16%
Neuroscience 23 10%
Medicine and Dentistry 17 7%
Engineering 7 3%
Other 39 16%
Unknown 42 17%