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GMJ News > Research Digest > New Studies > Muscle Mass Linked to Younger Brain Age in New MRI Study of 1,164 Adults
New StudiesResearch Digest

Muscle Mass Linked to Younger Brain Age in New MRI Study of 1,164 Adults

GMJ
Last updated: 25/05/2026 16:08
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GMJ Research Desk
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MRI brain scan showing relationship between body composition and brain aging patterns
New MRI study of 1,164 adults reveals that higher muscle mass is linked to younger brain age, while visceral fat accelerates brain aging. Body composition may matter more than weight for cognitive health. — Photo: Kampus Production / Pexels
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Updated 25/05/2026

Contents
      • Body composition’s impact on brain aging
  • Visceral fat emerges as key factor in brain aging
  • Muscle mass shows protective association
  • Limitations and future research directions
    • Key takeaways
  • Frequently asked questions
    • What type of fat is most harmful for brain aging?
    • How was brain age measured in this study?
    • Can changing body composition actually slow brain aging?
3 min read|594 words

A new magnetic resonance imaging study of 1,164 healthy adults has revealed a striking connection between body composition and brain aging. According to research presented by Dr. Somayeh Meysami and colleagues at the Radiological Society of North America 2025 meeting, people with greater skeletal muscle mass showed biologically younger-looking brains, while those with more visceral fat displayed accelerated brain aging patterns.

1,164
healthy adults studied using whole-body and brain MRI to assess aging patterns

Body composition’s impact on brain aging

Association strength between tissue types and estimated brain age, study of 1,164 adults

Higher muscle mass
Younger brain age
More visceral fat
Accelerated aging
Subcutaneous fat

No association

Source: Meysami et al., RSNA 2025 | Georgian Medical Journal News

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Visceral fat emerges as key factor in brain aging

The study, which examined participants with an average age of 55 years, used advanced MRI techniques to estimate “brain age” and compared these measurements to detailed body composition analysis. The results showed clear patterns linking metabolically active visceral fat to older-appearing brain structure.

Visceral fat, the deep abdominal fat surrounding internal organs, is known to be metabolically active and associated with inflammation and insulin resistance. This contrasts sharply with subcutaneous fat under the skin, which showed no meaningful association with brain aging in the study.

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Muscle mass shows protective association

Perhaps more striking was the protective association observed with skeletal muscle mass. Participants with greater muscle mass consistently showed younger brain age estimates, according to the findings presented by Meysami and colleagues at RSNA 2025.

The clinical implications suggest that preserving muscle mass while reducing visceral fat may be more important for long-term brain health than weight loss alone, according to the RSNA 2025 presentation.

Limitations and future research directions

The researchers emphasized that this was an observational imaging study that demonstrates associations rather than cause-and-effect relationships. The cross-sectional design means that while patterns are clear, the study cannot prove that changing body composition will directly impact brain aging.

Future longitudinal studies will be needed to determine whether interventions targeting muscle preservation and visceral fat reduction can slow brain aging. The research team noted that specific exercise protocols or nutritional interventions were not tested in this analysis.

People with greater skeletal muscle mass showed biologically younger-looking brains, while those with more visceral fat displayed accelerated brain aging patterns in MRI analysis.

— Dr. Somayeh Meysami, Radiological Society of North America (RSNA, 2025)

Key takeaways

  • Higher muscle mass was associated with younger brain age in 1,164 adults studied with MRI
  • Visceral fat showed strong links to accelerated brain aging, while subcutaneous fat had no association
  • Body composition may be more predictive of brain health than overall weight measurements

Frequently asked questions

What type of fat is most harmful for brain aging?

Visceral fat, the deep abdominal fat surrounding internal organs, showed the strongest association with accelerated brain aging in the RSNA 2025 study. This type of fat is metabolically active and linked to inflammation and insulin resistance.

How was brain age measured in this study?

Researchers used advanced MRI imaging techniques to analyze brain structure and estimate biological brain age, comparing it to chronological age, according to the Meysami et al. RSNA 2025 presentation.

Can changing body composition actually slow brain aging?

This study shows associations but cannot prove causation. Future longitudinal research will need to test whether interventions that build muscle and reduce visceral fat can directly impact brain aging patterns.

The findings underscore the complex relationship between metabolic health and cognitive aging, suggesting that maintaining muscle mass and reducing visceral adiposity may represent key targets for promoting brain health throughout the lifespan.

Source: Your brain may be aging faster than your body, and muscle appears to matter more than the scale

Was this article helpful?

Disclaimer. This article is health journalism intended for general information and education. It is not medical advice and is not a substitute for professional diagnosis or treatment. Always consult a qualified healthcare provider about your individual circumstances. Full disclaimer →

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Written by
Prof. Giorgi Pkhakadze, MD, MPH, PhD
Editor-in-Chief, GMJ News
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Medical disclaimer. This article is health journalism intended for general information. It is not medical advice and is not a substitute for consultation with a qualified healthcare professional. Always seek your physician's advice regarding any medical condition.
Medically reviewed by Prof. Giorgi Pkhakadze, MD, MPH, PhD. Spotted an error? Contact the editorial team.
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