YongHe_lab

Check our latest preprint! biorxiv.org/content/10.110… We present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using high-quality MRI data from 43,037 participants (aged 0-100 years,384 sites). (1/6)

(6/6) Finally, by comparing FOCA and conventional functional connectivity matrices, we found that FOCA showed lower susceptibility to global signal regression, retained richer inter-individual variability, and was more sensitive to the development of negative couplings.

(5/6) Moreover, neonatal FOCA encodes brain development at birth period and neurodevelopmental outcomes at 18 months.

🚨New research out! We introduce Functional Topography Covariance Analysis (FOCA), a framework to quantify the spatial coordination of individualized brain networks and further delineate its developmental origins. doi.org/10.1093/psyrad…

Check out our latest work exploring the convergent and divergent spatial topographies of individualized brain functional networks and their developmental origins! by @jianlong6 @Tengdazhao

💐Thrilled to share our latest work: Dissecting human cortical similarity networks across the lifespan. 🧠0–80 years 👏Grateful to all my amazing collaborators!

Many thanks to all collaborators and data contributors!! (8/8)

These data provide a blueprint for elucidating the principle of cortical network reconfiguration and a benchmark for quantifying interindividual network variations. (7/8)

Happy to share that our article “Dissecting human cortical similarity networks across the lifespan” is now published online at Neuron @NeuroCellPress. led by @XinyuanLiang1 and @longong4 cell.com/neuron/abstrac…

1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...

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)

Check our latest preprint! biorxiv.org/content/10.110… We present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using high-quality MRI data from 43,037 participants (aged 0-100 years,384 sites). (1/6)