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Brain Imaging01:14

Brain Imaging

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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...
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Related Experiment Video

Updated: Jan 7, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Association between 24-h time-use composition and brain age: The IGNITE study.

Audrey M Collins1, Maddison L Mellow2, Lu Wan1

  • 1AdventHealth Research Institute Department of Neuroscience AdventHealth Orlando Florida USA.

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|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Older adults

Keywords:
brain agecompositional data analysisphysical activitysedentary behaviorsleep

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Area of Science:

  • Neuroscience and aging research.
  • Gerontology and brain health studies.

Background:

  • Understanding the link between daily activities and brain structure in older adults is limited.
  • 24-hour time-use composition (sleep, sedentary, light, and moderate-to-vigorous physical activity [MVPA]) is a key area for investigation.

Purpose of the Study:

  • To examine the associations between 24-hour time-use composition and brain age in older adults.
  • To determine if MVPA influences brain age and explore time reallocation effects.

Main Methods:

  • Utilized baseline data from the IGNITE study (n=648).
  • Estimated brain age using MRI scans and time-use composition via accelerometers.
  • Employed compositional data analysis and regression models, adjusting for covariates.

Main Results:

  • 24-hour time-use composition was significantly associated with brain age (p=0.004).
  • Time spent in MVPA was the primary driver, with less MVPA linked to greater brain age.
  • These associations held regardless of time reallocation from sleep, sedentary behavior, or light activity.

Conclusions:

  • Daily time use, particularly MVPA, is associated with structural brain age in late adulthood.
  • Increasing MVPA may help maintain a younger brain age.
  • Future studies should investigate if shifting time towards MVPA impacts brain aging trajectories.