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Discover how neuroscientist Dr. Helen Weng uses machine learning to decode brain activity during meditation. Learn what happens in your mind when you practice mindfulness.
Neuroscience is finally revealing what happens inside our brains during meditation. Dr. Helen Weng, a leading researcher at UCSF, has pioneered groundbreaking studies using machine learning to decode meditation's effects on brain networks.
Dr. Weng's team developed the EMBODY framework (Evaluating Multivariate Maps of Body Awareness) to study how brain activity fluctuates during meditation. Their 2020 study was the first to:
Using fMRI scans and machine learning, researchers identified these neural patterns:
The study analyzed 2,160 brain patterns per participant across both novice and experienced meditators.
These discoveries help:
Dr. Weng's work represents a major shift in contemplative neuroscience. Rather than viewing meditation as a static practice, her team studies its dynamic, ever-changing nature - just as experienced meditators know it to be.
As research continues, we'll gain deeper insights into how mindfulness:
This pioneering work opens new doors for understanding meditation's effects on mental health and wellbeing.
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