PI: Yong He @ IDG/McGovern Institute for Brain Research, and State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University.
People's Republic of China
Joined June 2019
- Tweets196
- Following125
- Followers677
- Likes70
Pinned Tweet
Check our latest preprint!
biorxiv.org/content/10.1101/…
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)
🚨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/kkag0…
(5/6) Moreover, neonatal FOCA encodes brain development at birth period and neurodevelopmental outcomes at 18 months.
Check out our latest work exploring the convergent and divergent spatial topographies of individualized brain functional networks and their developmental origins!
by @jianlong6 @Tengdazhao
🚨 New preprint out!
biorxiv.org/content/10.1101/…
We introduce a framework that maps convergent (positive) and divergent (negative) spatial topographies of individualized brain networks—and shows how these interactions reverse in newborns and change across development.
Thread⬇️
YongHe_lab retweeted
💐Thrilled to share our latest work:
Dissecting human cortical similarity networks across the lifespan.
🧠0–80 years
👏Grateful to all my amazing collaborators!
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/abstract/S08…
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/abstract/S08…
These data provide a blueprint for elucidating the principle of cortical network reconfiguration and a benchmark for quantifying interindividual network variations. (7/8)
YongHe_lab retweeted
1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi
doi.org/10.1038/s41586-025-0…
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 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)
