Now at Princeton, @clairebedbrook.bsky.social and @ravi-nath.bsky.social led a study during their time as postdocs at Stanford that mapped the full arc of aging in individual vertebrates for the first time, finding that activity levels in young adults may serve as an early predictor of longevity.

ICYMI 🧪

Youthful antics predict lifespan? Using machine learning & continuous recordings of #killifish behavior from adolescence until death, @brunetlab.bsky.social & @deisseroth.bsky.social find early-life behavior predicted future lifespan! Now published @science.org: www.science.org/doi/10.1126/... 🧪 1/2

Great work from Claire, Ravi, and the whole team– the initial lifelong continuous screen of behaving vertebrates provided a wealth of ideas on progression/staging of brain function across lifespan. Behavior is unmatched as a noninvasive quantitative readout of brain function (and, one that matters).

Lifelong behavioral screen reveals an architecture of vertebrate aging | Science Was a wonderful collaboration with @clairebedbrook.bsky.social, Libby Zhang, Scott Linderman, @brunetlab.bsky.social & @deisseroth.bsky.social www.science.org/doi/10.1126/...