Lianglong Sun

Thanks for the figure @bttyeo.bsky.social 🙂🧠🙏🏽!

Just delighted to see this out in the world !! This is the first installment of SYPRES -- our living meta-analysis + open data resource focused on psychedelics. Led by the incomparable @parkersingleton.bsky.social and @bsevchik.bsky.social. Check it out + and give us your feedback!!!

The history and future of resting-state functional magnetic resonance imaging - Nature This Review provides an overview of the history of resting-state functional MRI research, which has helped to reveal the spatiotemporal organization of the brain, and discusses how it can contribute f...

When I first started working with resting state fMRI as a postdoc, there was a lot of skepticism about what we could learn from it. 20 years later, it's hard to imagine where the field of neuroscience would be without it. Here's a summary 🧠 www.nature.com/articles/s41...

Very interesting paper!!! Huge Congrats!!!👏👏

These population-specific brain charts not only reveal biologically significant East-West divergences in maturation timelines, but also establish a scalable framework for developing ethnically-specific standards worldwide - an essential step toward truly precision medicine. (6/6)

These Chinese-specific brain charts outperform Western-derived models in predicting Chinese healthy brain phenotypes and detecting pathological deviations in Chinese clinical cohorts (Alzheimer’s, schizophrenia, and depression). (5/6)

Cross-population comparisons with Western brain charts (56,339 participants aged 0-100 years) reveal distinct growth patterns in Chinese population, including prolonged subcortical maturation, accelerated cerebellar growth, and prolonged development of association cortices. (4/6)

Using the Chinese-specific neuroimaging data, we present the lifespan normative growth trajectories for 296 structural brain phenotypes, encompassing global, subcortical, and cortical measures. (3/6)

Human brain charts provide unprecedented opportunities for decoding developmental milestones and establishing clinical benchmarks. However, current brain charts are primarily derived from European and North American cohorts, with Asian populations severely underrepresented. (2/6)

Check our latest preprint!

www.biorxiv.org/cgi/content/...

We present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using high-quality neuroimaging data from 43,037 participants (aged 0-100 years, 384 sites). (1/6)

Thanks, Prof. Boeckx! 😄

Our cover is now live at Nature Neuroscience @natureneuro.bsky.social !

Thanks!😄

Our findings elucidate the lifespan evolution of the functional connectome and can serve as a normative reference for quantifying individual variation in development, aging and neuropsychiatric disorders. (5/5)

We showed that lifespan growth of regional connectivity is organized along a spatiotemporal cortical axis, transitioning from primary sensorimotor regions to higher-order association regions. (4/5)

After constructing a fine-grained, lifespan-wide suite of system-level brain atlases, we generate person-specific parcellation maps and further elucidate distinct maturation timelines for functional segregation within different subsystems. (3/5)

We report critical inflection points in the nonlinear growth curves of the global mean and variance of the connectome, peaking in the late fourth and late third decades of life, respectively. (2/5)

Using task-free functional from 33,250 individuals at 32 weeks of postmenstrual age to 80 years from 132 global sites, we delineated the nonlinear growth patterns of the functional connectome across multiple scales. (1/5)

Human lifespan changes in the brain’s functional connectome - Nature Neuroscience Sun et al. report human lifespan changes in the brain’s functional connectome in 33,250 individuals, which highlights critical growth milestones and distinct maturation patterns and offers a normative...

Happy to share that our article “Human lifespan changes in the brain’s functional connectome” is now published online at Nature Neuroscience @natureneuro.bsky.social !

Many thanks to all collaborators & data contributors, and the editor team & reviewers!

www.nature.com/articles/s41...