Publication Cover
Aging, Neuropsychology, and Cognition
A Journal on Normal and Dysfunctional Development
Volume 25, 2018 - Issue 6
2,408
Views
3
CrossRef citations to date
0
Altmetric
Review Articles

The relationship between autobiographical memory, cognition, and emotion in older adults: a review

&
Pages 874-892 | Received 17 May 2017, Accepted 04 Sep 2017, Published online: 12 Sep 2017
 

ABSTRACT

Over the past 30 years, the concept of “autobiographical memory” has been highlighted in numerous behavioral and neuroanatomical studies. Importantly, episodic autobiographical memory, an aspect of autobiographical memory, has been shown to decrease with age but can be improved by training. Autobiographical memory is deeply associated with the default mode network (especially posterior cingulate cortex and medial prefrontal cortex), which is particularly interesting in the context of better understanding the relationship between autobiographical memory, cognition, and emotion in older adults. This article provides an overview of the behavioral and neuroanatomical characteristics of autobiographical memory, as well as its relationship with the default mode network, cognition, emotion, and aging. This article also provides an overall review of autobiographical memory training.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was supported by National Research Foundation of Korea Grant [NRF-2016R1C1B1015930] to Kee-Hong Choi.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 528.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.