Ziteng Han

📖PhD candidate, @BIT1940 '26, @USTB1952 '19
🧠connectomics, brain-wide associations, brain stimulation

[Thomas Yeo @bttyeo]

FC for the win!

[Hoyt Patrick Taylor @hptayloriv]

1/ Excited to share our new Nature paper: Functional hierarchy of the human neocortex across the lifespan

We built a continuous normative reference for the brain’s major functional connectivity gradients from 16 days after birth to age 100.

https://t.co/PqeN4tvbde

[Zhiqiang Sha (@zhiqiangsha.bsky.social) @sha_zhiqiang]

Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting | Nature Communications
https://t.co/1OYej9ma7B

[Scott Marek @smarek0502]

What matters most for childhood brain organization?

We analyzed 649 variables.
The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers.

Even brain-IQ associations were better explained by SES confounding.

In Science: https://t.co/7zDtxSlDBn

[Michael Fox @foxmdphd]

Can lesion network mapping predict survival in children with brain tumors? Collaboration with UCL and @Brain_Circuits in @Nature suggests the answer is yes. Cutting the tumor off from this network may confer survival benefit.
https://t.co/CiVAfkLiIv

[Alex Fornito @AFornito]

Our latest, out now in @NatMentHealth led by @IvaIlioska using normative modelling to understand the heterogeneity of atypical FC in autism across different resolution scales:

https://t.co/Tg8mSnXRx5

[Jianxun Ren @DavidRen555]

🧠 I'm so happy to share our personalized circuit-guided neuromodulation targeting platform UNITE, led by @iamzhangvv, is out in @NatureProtocols!
📄 Protocol: https://t.co/P0GzDl02Pg
🔬 Nature: https://t.co/cg366rj3Ow

[Dr. Indrit Bègue @indrit_begue]

Our new preprint is out! "Cerebellum-ventral tegmental connectivity as a mechanism-informed target for apathy in schizophrenia"!! https://t.co/59M1wFuKL0

[Masoud Tahmasian, MD. PhD. @MasoudTahmasian]

The world must urgently address the silent epidemic of poor #sleephealth.
Our new "One Sleep Health" framework calls for systemic action.
#OneSleepHealth #Onehealth #Exposome
📖 https://t.co/Zb1sVtbRQE

[autisme info @AutismeInfo]

Parsing autism spectrum heterogeneity through fMRI

https://t.co/n1aonJUwxO

[Thomas Yeo @bttyeo]

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests.

Here's our new preprint https://t.co/OG58Vkeu49 led by @tianchuzeng @kkli20111 @ZShaoshi @ten_photos 1/N

[Daniel Corp @danieltcorp]

@AndrewZalesky @hesheng3 This looks extremely thorough and great work! But I still don't understand exactly why this method (and others proposed after the van den Heuvel paper) are necessarily superior to existing LNM methods that have always used specificity testing?

[Andrew Zalesky @AndrewZalesky]

ROBUST Lesion Network Mapping

Very beautiful work showcasing the power of permutation to address potential LNM concerns

Testing LNM existence is a critical 1st step, and the findings indicate that migraine lacks an LNM signature

Nice work @hesheng3 and team!

[Sophia @sopharicks]

Some interesting moments from my conversation with neuroscientist @loopyluppi :
- LLMs already proved one thing: language alone isn't magic. Many philosophers thought language required consciousness, but LLMs decoupled the two.

- Scientists can now wake anesthetized monkeys by stimulating a single tiny spot deep in their brain. The same region exists in the human brain, which means coma patients may one day be woken the same way.

- Under high-dose ketamine, a person can undergo surgery (same effect as anesthesia) and have vivid dreams like flying over a city. Interestingly, their brain scans look nothing like anesthesia and everything like an LSD trip.

- Consciousness seems to live in a middle zone: too much coupling in the brain = unconscious (anesthesia, coma); too much decoupling = altered or psychedelic state.

- This raises an interesting idea: using psychedelics to wake coma patients. Early clinical trials are running, but results are mixed, since the brain has more than one dimension governing consciousness.

- Andrea doesn't rule out the emergence of consciousness in AI: flight evolved differently in birds, insects, and helicopters — same phenomenon, very different mechanisms. Consciousness might similarly arise in non-biological systems.

Link to the full interview below.

[Dr. Yin Wang @Bruce_Yin_Wang]

1/ I’m excited to share our new @NatureHumBehav paper “Social Functioning in Autism: A Systematic Review & Meta-analysis” https://t.co/UajbwhSp94

We synthesized 35 yrs autism res. to ask a fundamental Q.:
How is social functioning organized, developed, and altered in autism?🧵

[Andrew Zalesky @AndrewZalesky]

Disease biology is heterogeneous, but most research reduces it to group means

NEW WORK characterizing HETEROGENEITY in BRAIN and BIOCHEMICAL biomarkers across >1/2 million people & >30 disorders:
https://t.co/lNfZH48hTJ

Check out the online resource:
https://t.co/azWezh0mAe

[Junhao (Hao) Wen @JunhaoWen]

💤 🫀 🫁 🧠 👁️ 💪 🫘
Today marks a meaningful milestone for LABS — our SleepChart paper, “Sleep chart of biological ageing clocks in middle and late life,” is now online in @Nature.
In this work, we link sleep patterns with biological aging clocks across the brain and body, highlighting how sleep may reflect broader systemic aging processes.
Key takeaways:
🧠 Sleep and biological aging clocks show a coordinated brain–body U-shaped pattern; this relationship extends beyond the brain alone and involves multiple organ systems and at multiple omics layers.
🧬 Sleep disturbances are linked to disease risks and shared genetic architecture: Short sleep appears to have a broader systemic impact, while long sleep shows a more focal, brain-enriched disease burden.
💤 Late-life depression provides an important example. Brain and adipose aging clocks mediate the relationship between long sleep and late-life depression, while short sleep appears to exert a more direct effect. As always, inverse causation cannot be fully excluded (potentially a sleep-LLD bi-directional relationship).

We are excited to share both the paper and the interactive SleepChart portal with the community (including GWAS summary statistics, etc.).
Paper: https://t.co/94FTh7B8b2
SleepChart portal: https://t.co/iQ2LvMlbpx
Great collaboration from our partners: @chrisdav66 at the University of Pennsylvania, @AndrewZalesky from the University of Melbourne, #PaulAisen and #MichaelRafii from the University of Southern California, #LuigiFerrucci, #KeenanWalker, and others from the @NIHAging, and many other collaborators!

https://t.co/94FTh7B8b2

#SleepResearch #BiologicalAging #AgingClocks #Neuroscience #PrecisionHealth #BrainHealth #AIinMedicine #LABS

[Andrew Zalesky @AndrewZalesky]

Normative reference charts for white matter tract microstructure in the human brain

A powerful complement to Brain Charts

[Nicholas Fabiano, MD @NTFabiano]

Sleep loss is a metabolic disorder.

🧵1/8

[Nicholas Branigan @NKBranigan]

A nice real example of such non-ergodicity in behavior is the speed-accuracy tradeoff. When people go faster they become less accurate. But in many tasks, people who are faster are more accurate. [5/12]