Feeling how old i am: Subjective age is associated with estimated brain age

Seyul Kwak, Hairin Kim, Jeanyung Chey, Yoosik Youm

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


While the aging process is a universal phenomenon, people perceive and experience one's aging considerably differently. Subjective age (SA), referring to how individuals experience themselves as younger or older than their actual age, has been highlighted as an important predictor of late-life health outcomes. However, it is unclear whether and how SA is associated with the neurobiological process of aging. In this study, 68 healthy older adults underwent a SA survey and magnetic resonance imaging (MRI) scans. T1-weighted brain images of open-access datasets were utilized to construct a model for age prediction. We utilized both voxel-based morphometry (VBM) and age-prediction modeling techniques to explore whether the three groups of SA (i.e., feels younger, same, or older than actual age) differed in their regional gray matter (GM) volumes, and predicted brain age. The results showed that elderly individuals who perceived themselves as younger than their real age showed not only larger GM volume in the inferior frontal gyrus and the superior temporal gyrus, but also younger predicted brain age. Our findings suggest that subjective experience of aging is closely related to the process of brain aging and underscores the neurobiological mechanisms of SA as an important marker of late-life neurocognitive health.

Original languageEnglish
Article number168
JournalFrontiers in Aging Neuroscience
Issue numberJUN
Publication statusPublished - 2018 Jun 7

Bibliographical note

Funding Information:
We thank S. Cho for constructive feedback on the manuscript. This research was supported by the National Research Foundation of Korea (NRF-2017S1A3A2067165), funded by the Ministry of Education, Science and Technology. This research has been supported by the AMOREPACIFIC Foundation.

Publisher Copyright:
© 2018 Kwak, Kim, Chey and Youm.

All Science Journal Classification (ASJC) codes

  • Ageing
  • Cognitive Neuroscience


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