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Cindy C. Hagan

Researcher at California Institute of Technology

Publications -  31
Citations -  2546

Cindy C. Hagan is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Orbitofrontal cortex & Facial expression. The author has an hindex of 20, co-authored 30 publications receiving 1949 citations. Previous affiliations of Cindy C. Hagan include University of York & Columbia University.

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Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States

TL;DR: In this article, the authors investigated risk perception and self-reported engagement in protective behaviours in 1591 United States-based individuals cross-sectionally and longitudinally over the first week of the pandemic.
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The ecology of human fear: survival optimization and the nervous system.

TL;DR: The SOS attempts to merge ecological models that define a repertoire of contextually relevant threat induced survival behaviors with contemporary approaches to human affective science, proposing a highly integrated nervous system that has evolved to increase the organism's chances of survival.
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Brain structure abnormalities in early-onset and adolescent-onset conduct disorder

TL;DR: It is demonstrated that gray matter volume reductions in brain regions involved in processing socioemotional stimuli are associated with conduct disorder, regardless of age of onset.
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Neural abnormalities in early-onset and adolescence-onset conduct disorder.

TL;DR: Neurophysiological abnormalities are observed in both CD subtypes, contrary to the developmental taxonomic theory of CD, and additional amygdala hypofunction in relation to sad expressions might indicate why EO- CD is more severe and persistent than AO-CD.
Posted ContentDOI

Changes in risk perception and protective behavior during the first week of the COVID-19 pandemic in the United States

TL;DR: In this article, the authors examined the extent to which protective behaviors are predicted by individuals' perception of risk, and found that engagement in social distancing and handwashing was most strongly predicted by the perceived likelihood of personally being infected, rather than likelihood of transmission or severity of potential transmitted infections.