sam michaels

A new brain-imaging study tracking teenagers over seven years reveals that an unstable home life hinders the development of cognitive control. This neurological change makes them less likely to take positive, career-building social risks in young… dlvr.it/TSZNyf

Brain–body-environment interactions must move beyond isolated exposures toward the expotype: the dynamic configuration of physical, social, lifestyle, and internal factors that jointly shape brain–behaviour phenotypes. At @NatRevNeurosci (nature.com/articles/s4158…), we propose a future agenda to assess the exposome as a complex, time-varying system that requires nonlinear models to capture interactions, thresholds, synergistic effects, and cross-domain buffering mechanisms. Although predictive machine learning can support individual risk estimation, the next frontier is to move from prediction to mechanism, from association to dynamic synergetic inference. Multivariate learning, causal machine learning, aging clocks, longitudinal designs, and generative biophysical digital twins are beginning to provide this bridge. Brain–body–environment diversity can reveal how ecology becomes biologically embedded. We call for a future exposomic neuroscience that integrates nonlinear temporal modeling, generative mechanisms, and population diversity to understand, simulate, and modify trajectories of brain aging and disease. Congrats Sarah Genon, @MasoudTahmasian & @INM7_ISN

Forget simple chains from genes to brain to behaviour; neuroscientists are overturning decades of dogma. | iai.tv/articles/neuro… Award-winning neuroscientist Nicole Rust argues that the brain is a dynamic complex system, more like the weather than a machine, whose parts interact through feedback loops that can't be studied in isolation. The revolution is also practical: a bold cohort of experimentalists is uncovering mental health treatments that go beyond traditional drugs like SSRIs—such as psychedelic therapy, which may be able to rewire brains trapped in destructive loops.