Oct 21, 2026 · 1h 26m
Brain scans link aging to metabolism, lifestyle and mental health
The New Science of Brain Aging: What 200,000 scans reveal | Paul Thompson, PhD
The episode presents brain aging as a measurable, potentially modifiable process shaped by systemic health, genetics, environment and early detection.
- 1Large-scale imaging reveals shared biological patterns across neurological and psychiatric conditions.
- 2Brain age can reflect influences including metabolism, hormones, sleep, nutrition and exercise rather than fixed decline alone.
- 3Combining scans, blood biomarkers, genetics and AI could move care toward earlier, more personalized prevention.
Don't miss
Thompson describes how combining brain scans, genetics, blood biomarkers and AI could turn brain-age measurement into earlier, more personalized prevention.
The brief
Neuroscientist Paul Thompson uses large-scale brain imaging to examine why some brains age faster, linking brain function to obesity, hormones, nutrition and broader metabolic health.
The Enigma consortium’s vast imaging collaborations reveal overlapping patterns across Alzheimer’s, schizophrenia, autism and other conditions, challenging rigid symptom-based categories.
Brain-age estimates connect structural changes such as hippocampal shrinkage with blood markers, thyroid function, homocysteine, nutrients and other potentially modifiable influences.
Sleep, exercise and diet may support repair through systems such as the glymphatic network, while inflammation and metabolic dysfunction can accelerate decline.
The standout idea is a shift from diagnosis to prevention: combine imaging, genetics, blood biomarkers and AI to identify risk and tailor intervention earlier.
Books & mentions
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