Literature DB >> 31424075

Preparing for the Worst: Evidence that Older Adults Proactively Downregulate Negative Affect.

Brittany Corbett1, M Natasha Rajah2,3, Audrey Duarte1.   

Abstract

Previous studies have only investigated age-related differences in emotional processing and encoding in response to, not in anticipation of, emotional stimuli. In the current study, we investigated age-related differences in the impact of emotional anticipation on affective responses and episodic memory for emotional images. Young and older adults were scanned while encoding negative and neutral images preceded by cues that were either valid or invalid predictors of image valence. Participants were asked to rate the emotional intensity of the images and to complete a recognition task. Using multivariate behavioral partial least squares (PLS) analysis, we found that greater anticipatory recruitment of the amygdala, ventromedial prefrontal cortex (vmPFC), and hippocampus in older adults predicted reduced memory for negative than neutral images and the opposite for young adults. Seed PLS analysis further showed that following negative cues older adults, but not young adults, exhibited greater activation of vmPFC, reduced activation of amygdala, and worse memory for negative compared with neutral images. To the best of our knowledge, this is the first study to provide evidence that the "positivity effect" seen in older adults' memory performance may be related to the spontaneous emotional suppression of negative affect in anticipation of, not just in response to, negative stimuli.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  aging; fMRI; memory; spontaneous emotional regulation; uncertainty

Mesh:

Year:  2020        PMID: 31424075      PMCID: PMC8205626          DOI: 10.1093/cercor/bhz166

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  84 in total

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3.  Evidence for separate perceptual reactivation and search processes during remembering.

Authors:  Mark E Wheeler; Gordon L Shulman; Randy L Buckner; Francis M Miezin; Katerina Velanova; Steven E Petersen
Journal:  Cereb Cortex       Date:  2005-09-14       Impact factor: 5.357

4.  Selective preference in visual fixation away from negative images in old age? An eye-tracking study.

Authors:  Derek M Isaacowitz; Heather A Wadlinger; Deborah Goren; Hugh R Wilson
Journal:  Psychol Aging       Date:  2006-03

5.  Cognitive control, goal maintenance, and prefrontal function in healthy aging.

Authors:  Jessica L Paxton; Deanna M Barch; Caroline A Racine; Todd S Braver
Journal:  Cereb Cortex       Date:  2007-09-05       Impact factor: 5.357

Review 6.  Age differences in brain activity during emotion processing: reflections of age-related decline or increased emotion regulation?

Authors:  Kaoru Nashiro; Michiko Sakaki; Mara Mather
Journal:  Gerontology       Date:  2011-06-21       Impact factor: 5.140

Review 7.  Explicit and implicit emotion regulation: a dual-process framework.

Authors:  Anett Gyurak; James J Gross; Amit Etkin
Journal:  Cogn Emot       Date:  2011-04

8.  Affect dynamics, affective forecasting, and aging.

Authors:  Lisbeth Nielsen; Brian Knutson; Laura L Carstensen
Journal:  Emotion       Date:  2008-06

9.  A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe.

Authors:  Michael A Yassa; Craig E L Stark
Journal:  Neuroimage       Date:  2008-09-27       Impact factor: 6.556

10.  Prestimulus brain activity predicts primacy in list learning.

Authors:  Giulia Galli; Tsee Leng Choy; Leun J Otten
Journal:  Cogn Neurosci       Date:  2012-03-26       Impact factor: 3.065

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  1 in total

1.  Age-related changes in repetition suppression of neural activity during emotional future simulation.

Authors:  Aleea L Devitt; Preston P Thakral; Karl Szpunar; Donna Rose Addis; Daniel L Schacter
Journal:  Neurobiol Aging       Date:  2020-06-29       Impact factor: 4.673

  1 in total

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