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Nostalgia enhances detection of death threat: neural and behavioral evidence

Nostalgia enhances detection of death threat: neural and behavioral evidence
Nostalgia enhances detection of death threat: neural and behavioral evidence
An experiment examined the potency of nostalgia—a sentimental longing for one’s past—to facilitate detection of death-related stimuli, using functional magnetic resonance imaging (fMRI) and behavioral techniques (i.e., judgmental accuracy, reaction times). We hypothesized and found that, at the neural level, nostalgic (relative to control) participants evinced more intense activation in right amygdala in response to death-related (vs. neutral) words. We also hypothesized and found that, at the behavioral level, nostalgic (relative to control) participants manifested greater accuracy in judging whether two death-related (vs. neutral) words belonged in the same category. Exploratory analyses indicated that nostalgic (relative to control) participants did not show faster reaction times to death-related (vs. neutral) words. In all, nostalgia appeared to aid in death threat detection. We consider implications for the relevant literatures.
amygdala, death threat, mortality salience, nostalgia, threat detection
2045-2322
Yang, Ziyan
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Sedikides, Constantine
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Izuma, Keise
07f45d8b-a7a6-40ae-8957-009cef2a0683
Wildschut, Tim
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Kashima, Emiko S.
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Luo, Yu L.L.
6713bccd-616d-43e8-bf7d-174e43bc2090
Chen, Jun
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Cai, Huajian
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Yang, Ziyan
0ec1ccc3-6ae4-4a34-822f-73ccc3e455b3
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
Izuma, Keise
07f45d8b-a7a6-40ae-8957-009cef2a0683
Wildschut, Tim
4452a61d-1649-4c4a-bb1d-154ec446ff81
Kashima, Emiko S.
f76c256d-1468-47c0-abf5-112d01a6d681
Luo, Yu L.L.
6713bccd-616d-43e8-bf7d-174e43bc2090
Chen, Jun
1d30b2a7-daf1-47c2-af35-38374586a4f3
Cai, Huajian
09530234-7db9-4831-89a1-6b2edfbcfdaf

Yang, Ziyan, Sedikides, Constantine, Izuma, Keise, Wildschut, Tim, Kashima, Emiko S., Luo, Yu L.L., Chen, Jun and Cai, Huajian (2021) Nostalgia enhances detection of death threat: neural and behavioral evidence. Scientific Reports, 11 (1), [12662]. (doi:10.1038/s41598-021-91322-z).

Record type: Article

Abstract

An experiment examined the potency of nostalgia—a sentimental longing for one’s past—to facilitate detection of death-related stimuli, using functional magnetic resonance imaging (fMRI) and behavioral techniques (i.e., judgmental accuracy, reaction times). We hypothesized and found that, at the neural level, nostalgic (relative to control) participants evinced more intense activation in right amygdala in response to death-related (vs. neutral) words. We also hypothesized and found that, at the behavioral level, nostalgic (relative to control) participants manifested greater accuracy in judging whether two death-related (vs. neutral) words belonged in the same category. Exploratory analyses indicated that nostalgic (relative to control) participants did not show faster reaction times to death-related (vs. neutral) words. In all, nostalgia appeared to aid in death threat detection. We consider implications for the relevant literatures.

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Yang et al., in press, Scientific Reports - Accepted Manuscript
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Accepted/In Press date: 25 May 2021
Published date: 16 June 2021
Additional Information: Funding Information: The research was supported by the National Social Science Fund of China [17ZDA324], the National Natural Science Foundation of China [32000775] and the Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences [Y9CX183005]. Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: amygdala, death threat, mortality salience, nostalgia, threat detection

Identifiers

Local EPrints ID: 450997
URI: http://eprints.soton.ac.uk/id/eprint/450997
ISSN: 2045-2322
PURE UUID: 0d2f647f-7fda-4273-9bd8-a09d8eb2f53e
ORCID for Constantine Sedikides: ORCID iD orcid.org/0000-0003-4036-889X
ORCID for Tim Wildschut: ORCID iD orcid.org/0000-0002-6499-5487

Catalogue record

Date deposited: 01 Sep 2021 16:31
Last modified: 17 Mar 2024 02:53

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Contributors

Author: Ziyan Yang
Author: Keise Izuma
Author: Tim Wildschut ORCID iD
Author: Emiko S. Kashima
Author: Yu L.L. Luo
Author: Jun Chen
Author: Huajian Cai

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