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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.
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Imaging Studies IV: Magnetic Resonance Imaging01:27

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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Obesity01:24

Obesity

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
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Obesity accelerates brain ageing: a multimodal imaging study.

Federico Vanni1, Sebastiano Cinetto2, Michele De Filippo De Grazia1

  • 1Laboratory of Neuroimaging and Neurodegeneration, IRCCS San Camillo Hospital, Venezia 30126, Italy.

Brain Communications
|November 12, 2025
PubMed
Summary
This summary is machine-generated.

Obesity accelerates brain aging, increasing brain age delta in grey matter and functional connectivity. This effect is most pronounced in mid-life, suggesting early obesity intervention may support brain health.

Keywords:
BMIbrain agemachine learningneuroimagingobesity

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Area of Science:

  • Neuroscience
  • Gerontology
  • Public Health

Background:

  • Obesity is a global health issue linked to accelerated aging and neurodegeneration.
  • Accelerated brain aging is a potential mechanism underlying obesity's impact on cognitive function.

Purpose of the Study:

  • To investigate the relationship between obesity and brain age discrepancy using neuroimaging and machine learning.
  • To assess if obesity accelerates brain aging across the adult lifespan.

Main Methods:

  • Cross-sectional study using multimodal neuroimaging data from the Cam-CAN dataset.
  • Machine learning applied to estimate brain age delta (predicted vs. chronological age).
  • Comparison of brain age delta between obese and normal-weighted individuals matched for age, gender, and education.

Main Results:

  • Obese individuals exhibited a greater brain age delta in grey matter and functional connectivity.
  • The difference in brain age delta peaked in mid-adulthood (40-60 years) for grey matter.
  • Intra-network connectivity showed a more pronounced age-related difference in late-life (60-90 years).

Conclusions:

  • Obesity accelerates the brain aging process, with effects detectable from mid-adulthood.
  • These findings support the hypothesis that obesity contributes to accelerated brain aging.
  • Early obesity interventions may be crucial for maintaining brain health and reducing risks of late-life brain pathologies.