TY - JOUR
T1 - Feeling how old i am
T2 - Subjective age is associated with estimated brain age
AU - Kwak, Seyul
AU - Kim, Hairin
AU - Chey, Jeanyung
AU - Youm, Yoosik
N1 - Publisher Copyright:
© 2018 Kwak, Kim, Chey and Youm.
PY - 2018/6/7
Y1 - 2018/6/7
N2 - 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.
AB - 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.
KW - Brain age
KW - Gray matter atrophy
KW - Self-perceptions of aging
KW - Subjective age
KW - VBM
UR - http://www.scopus.com/inward/record.url?scp=85048252749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048252749&partnerID=8YFLogxK
U2 - 10.3389/fnagi.2018.00168
DO - 10.3389/fnagi.2018.00168
M3 - Article
AN - SCOPUS:85048252749
SN - 1663-4365
VL - 10
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
IS - JUN
M1 - 168
ER -