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      The neuronal basis of fear generalization in humans

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      Nature Neuroscience
      Springer Science and Business Media LLC

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          Abstract

          Organisms tend to respond similarly to stimuli that are perceptually close to an event that predicts adversity, a phenomenon known as fear generalization. Greater dissimilarity yields weaker behavioral responses, forming a fear-tuning profile. The perceptual model of fear generalization assumes that behavioral fear tuning results from perceptual similarities, suggesting that brain responses should also exhibit the same fear-tuning profile. Using fMRI and a circular fear-generalization procedure, we tested this prediction. In contrast with the perceptual model, insula responses showed less generalization than behavioral responses and encoded the aversive quality of the conditioned stimulus, as shown by high pattern similarity between the conditioned stimulus and the shock. Also inconsistent with the perceptual model, object-sensitive visual areas responded to ambiguity-related outcome uncertainty. Together these results indicate that fear generalization is not passively driven by perception, but is an active process integrating threat identification and ambiguity-based uncertainty to orchestrate a flexible, adaptive fear response.

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          Most cited references50

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            Distributed and overlapping representations of faces and objects in ventral temporal cortex.

            The functional architecture of the object vision pathway in the human brain was investigated using functional magnetic resonance imaging to measure patterns of response in ventral temporal cortex while subjects viewed faces, cats, five categories of man-made objects, and nonsense pictures. A distinct pattern of response was found for each stimulus category. The distinctiveness of the response to a given category was not due simply to the regions that responded maximally to that category, because the category being viewed also could be identified on the basis of the pattern of response when those regions were excluded from the analysis. Patterns of response that discriminated among all categories were found even within cortical regions that responded maximally to only one category. These results indicate that the representations of faces and objects in ventral temporal cortex are widely distributed and overlapping.
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              The VideoToolbox software for visual psychophysics: transforming numbers into movies

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                Author and article information

                Journal
                Nature Neuroscience
                Nat Neurosci
                Springer Science and Business Media LLC
                1097-6256
                1546-1726
                December 2015
                November 16 2015
                December 2015
                : 18
                : 12
                : 1811-1818
                Article
                10.1038/nn.4166
                26571459
                39efaa4f-1354-4b8f-8895-593248104970
                © 2015

                http://www.springer.com/tdm

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