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Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect

The COVID-19 pandemic has been a period of unprecedented uncertainty. Research indicates individuals differ in their response to uncertainty and these differences are mediated by anterior insula (aINS) function. Those most sensitive to uncertainty are likely vulnerable to negative affect in the cont...

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Autores principales: Khorrami, Kia J., Manzler, Charles A., Kreutzer, Kayla A., Gorka, Stephanie M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608787/
https://www.ncbi.nlm.nih.gov/pubmed/34902781
http://dx.doi.org/10.1016/j.pscychresns.2021.111414
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author Khorrami, Kia J.
Manzler, Charles A.
Kreutzer, Kayla A.
Gorka, Stephanie M.
author_facet Khorrami, Kia J.
Manzler, Charles A.
Kreutzer, Kayla A.
Gorka, Stephanie M.
author_sort Khorrami, Kia J.
collection PubMed
description The COVID-19 pandemic has been a period of unprecedented uncertainty. Research indicates individuals differ in their response to uncertainty and these differences are mediated by anterior insula (aINS) function. Those most sensitive to uncertainty are likely vulnerable to negative affect in the context of the pandemic. The current study was designed to directly test this question using both neural and self-reported measures of sensitivity to uncertainty. Fifty-nine volunteers completed a task designed to probe neural response to anticipation of predictable (P-) and unpredictable (U-) threat-of-electric-shock during functional magnetic resonance imaging and a self-report measure of intolerance of uncertainty (IU). Approximately two years later, during the peak of the pandemic, participants reported their emotional reactions to the COVID-19 crisis. Multilevel mixed models revealed that greater aINS activation to U-threat and greater self-reported IU were independent predictors of increased COVID-related negative affect. These findings were significant when adjusting for biological sex and depression and anxiety symptom severity. The results add to a growing literature demonstrating that individual differences in response to uncertainty have a robust impact on mood and functioning. Results also highlight that individuals highly sensitive to uncertainty may be at increased risk for poor mental health during the ongoing pandemic.
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spelling pubmed-86087872021-11-23 Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect Khorrami, Kia J. Manzler, Charles A. Kreutzer, Kayla A. Gorka, Stephanie M. Psychiatry Res Article The COVID-19 pandemic has been a period of unprecedented uncertainty. Research indicates individuals differ in their response to uncertainty and these differences are mediated by anterior insula (aINS) function. Those most sensitive to uncertainty are likely vulnerable to negative affect in the context of the pandemic. The current study was designed to directly test this question using both neural and self-reported measures of sensitivity to uncertainty. Fifty-nine volunteers completed a task designed to probe neural response to anticipation of predictable (P-) and unpredictable (U-) threat-of-electric-shock during functional magnetic resonance imaging and a self-report measure of intolerance of uncertainty (IU). Approximately two years later, during the peak of the pandemic, participants reported their emotional reactions to the COVID-19 crisis. Multilevel mixed models revealed that greater aINS activation to U-threat and greater self-reported IU were independent predictors of increased COVID-related negative affect. These findings were significant when adjusting for biological sex and depression and anxiety symptom severity. The results add to a growing literature demonstrating that individual differences in response to uncertainty have a robust impact on mood and functioning. Results also highlight that individuals highly sensitive to uncertainty may be at increased risk for poor mental health during the ongoing pandemic. Elsevier B.V. 2022-01 2021-11-23 /pmc/articles/PMC8608787/ /pubmed/34902781 http://dx.doi.org/10.1016/j.pscychresns.2021.111414 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Khorrami, Kia J.
Manzler, Charles A.
Kreutzer, Kayla A.
Gorka, Stephanie M.
Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect
title Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect
title_full Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect
title_fullStr Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect
title_full_unstemmed Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect
title_short Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect
title_sort neural and self-report measures of sensitivity to uncertainty as predictors of covid-related negative affect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608787/
https://www.ncbi.nlm.nih.gov/pubmed/34902781
http://dx.doi.org/10.1016/j.pscychresns.2021.111414
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