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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction

Youjin Kim¹, Joon Yul Choi², Evgeny Petrovskiy³

¹Department of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.

Frontiers in Aging Neuroscience

|September 15, 2025

Summary

Shift work appears to accelerate brain aging, indicated by a higher brain age gap (BAG) in shift workers. Longer shift work duration may suggest neuroadaptive changes, requiring further longitudinal investigation.

Keywords:

MRI brain brain age gap brain aging neuroimaging shift work

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Area of Science:

Neuroimaging
Occupational Health
Gerontology

Background:

Shift work is prevalent and linked to adverse health outcomes.
Existing research suggests impacts on brain structure and neurological stress.
The direct effect of shift work on brain aging is not well understood.

Purpose of the Study:

To investigate the association between shift work and brain aging.
Utilize the brain age gap (BAG) as a neuroimaging biomarker.
Compare predicted brain age from MRI scans with chronological age.

Main Methods:

Collected structural MRI data from 113 healthcare workers (33 shift, 80 daytime).
Estimated brain age using seven machine learning models.
Calculated BAG and performed statistical analyses adjusting for covariates.

Main Results:

Shift workers showed significantly higher BAG values after covariate adjustments, indicating accelerated brain aging.
Two models remained significant after controlling for confounders.
Longer shift work duration correlated with a decreasing BAG trend.

Conclusions:

Shift work is associated with accelerated apparent brain aging.
The BAG reduction with extended exposure may indicate adaptive or selective effects.
Highlights the need to consider occupational exposures in brain health research.