Ph.D. @HeLabBNU 🧠🏃🏼♂️🏀🏸⛷🏊🏼♂️
Beijing,China
Joined August 2018
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Check our latest work on population-specific brain charts 😀
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)
Lianglong Sun retweeted
1/11 Our new paper is out in Alzheimer’s & Dementia! 🚨
Does cortical excitation–inhibition (E/I) imbalance link amyloid pathophysiology to memory? We tested this in non-demented older adults (cognitively normal + MCI) across two independent cohorts. 🧵👇
doi.org/10.1002/alz.71891
Lianglong Sun retweeted
Excited to share our new work now out in Nature Neuroscience!! We use a whole-brain framework to show that aging and Alzhiemer's disease affect the brain's functional organization along completely separate axes. Paper and thread below 👇
The first paper from my PhD is out in @NatureNeuro!
Aging and Alzheimer's disease both reshape how the brain communicates. But not in the same way: aging vs AD related alterations follow two distinct axes of brain organization
Paper → nature.com/articles/s41593-0…
🧵⬇️
Lianglong Sun retweeted
netneurotools: a trainee-oriented approach to network neuroscience | doi.org/10.1038/s41596-026-0…
Our lab’s internal toolkit for accomplishing everyday tasks in brain imaging @NatureProtocols ⤵️
Lianglong Sun retweeted
For those at @OHBM @OHBM_Trainees come check out our poster on using deep learning to accelerate biophysical model fitting & resulting insights into lifespan changes in E/I ratio!
Poster number 2304
Wed, June 17 | 13:45-14:45
Thurs, June 18 | 14:45-15:45
Updated preprint: doi.org/10.1101/2025.04.07.6…
We have improved DELSSOME and showed that we can accelerate the estimation of two new biophysical models. By collating 12,005 individuals, we derive normative trajectories of cortical E/I ratio across the lifespan ...
Lianglong Sun retweeted
Many thanks to all co-authors, collaborators, and reviewers for helping improve this work. Looking forward to discussing these findings at OHBM!
Paper is now out in @NatureComms
doi.org/10.1038/s41467-026-7…
If you are at @OHBM @OHBM_Trainees , come check out our poster about Simpson’s paradox in neurodevelopment.
Poster number 998
Monday, June 15 | 14:45-15:45
Tuesday, June 16 | 13:30-14:30
Lianglong Sun retweeted
1/ Excited to share our latest preprint! 🚀 We introduce Spectral Normative Modeling (SNM)—a novel approach leveraging graph spectral methods to advance brain charting towards personalized precision medicine.
🔗medrxiv.org/content/10.1101/….
Lianglong Sun retweeted
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: science.org/doi/10.1126/scie…
Congrats, Julio! I still remember being impressed by this work at ISMRM2024.
We present the LARGEST normative model of the brain’s white matter microstructure: 54,583 subjects, 4-91 yrs, 19 datasets. We derived lifespan centile curves for DTI FA, MD, RD, AD, detecting anomalies for dementia, and Mild Cognitive Impairment: doi.org/10.1038/s41467-026-7… ⤵️
Lianglong Sun retweeted
🔥MASSIVE CONGRATS to Julio Villalón + an incredible international team on their 7+ years of work that led to today's monumental Nature Communications paper 🔥
🔥"Lifespan normative modeling of brain microstructure" charting white matter development and decline throughout life
🔥54,583 individuals; age: 4–91 years
🔥19 international diffusion MRI datasets
🧠🧠Detects profiles of microstructural deviations in mild cognitive impairment, Alzheimer’s disease, and 22q11.2 deletion syndrome 🧠🧠
🧠🧠Try it out ! Github: github.com/villalonreina/ENI…
🎇@JulioVillaln1 @njahanshad @NirTalia
@ClaraMoreau9 @smkia83 @USCLONI
@KECKSchool_USC @USC @enigmabrains
We present the LARGEST normative model of the brain’s white matter microstructure: 54,583 subjects, 4-91 yrs, 19 datasets. We derived lifespan centile curves for DTI FA, MD, RD, AD, detecting anomalies for dementia, and Mild Cognitive Impairment: doi.org/10.1038/s41467-026-7… ⤵️
Lianglong Sun retweeted
🧠 I'm so happy to share our personalized circuit-guided neuromodulation targeting platform UNITE, led by @iamzhangvv, is out in @NatureProtocols!
📄 Protocol: nature.com/articles/s41596-0…
🔬 Nature: nature.com/articles/s41586-0…
Lianglong Sun retweeted
Excited to share our latest work, "Mapping the spatiotemporal continuum of structural connectivity development across the human connectome in youth," now out in @NatureComms! Congrats to @chocoxu0925 on this beautiful work: nature.com/articles/s41467-0….
White matter tracts form the structural foundation of brain networks, yet how structural connectivity develops across the whole connectome remains unclear. In our recent @NatureComms article, we report a continuous, robust developmental pattern along the S-A connectional axis.😁
Lianglong Sun retweeted
MULTIORGAN networks across the human body over the course of aging & disease
A rapidly developing field shaped by @yetianmed & @JunhaoWen
Check out our Perspective in @NatureAging
rdcu.be/fjMAz
Concepts, priorities & recommendations to get started in the field
Lianglong Sun retweeted
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 doi.org/10.64898/2026.05.17.… led by @tianchuzeng @kkli20111 @ZShaoshi @ten_photos 1/N
Lianglong Sun retweeted
Cognitive #neuroimaging once made a leap: task-vs-rest → task-vs-task. Specific functions isolated.
rLNM makes the same leap, contrasting related conditions (e.g., PD vs. dystonia), to isolate symptom-specific networks.
Coming soon: another intriguing application. Stay tuned.
Lesion network mapping (LNM) has been powerful in linking symptoms and brain functional circuits, but ongoing debates highlight that it is still hard to isolate symptom-specific effects. We came up with a new method, robust LNM (rLNM) — a unified framework combining null models and selective specificity to reveal reliable, symptom-specific networks from background structure. biorxiv.org/content/10.64898…
@bttyeo @foxmdphd @ndosenbach @club_scan
Lianglong Sun retweeted
Lesion network mapping (LNM) has been powerful in linking symptoms and brain functional circuits, but ongoing debates highlight that it is still hard to isolate symptom-specific effects. We came up with a new method, robust LNM (rLNM) — a unified framework combining null models and selective specificity to reveal reliable, symptom-specific networks from background structure. biorxiv.org/content/10.64898…
@bttyeo @foxmdphd @ndosenbach @club_scan
Lianglong Sun retweeted
Huzzah for @stevenmeisler.com, whose preprint on our new fully-processed ABCD dMRI data resource is now out. The super-clear results from this monumental effort will undoubtably change the way we approach studies of white matter development going forward.
Diffusion MRI (dMRI) is a powerful tool to study white matter maturation. In our new preprint, we process and distribute a new resource of >24,000 ABCD dMRI scans using open source tools! We then evaluate how methods shape inferences about development.
🔗 bit.ly/3QMLG0K
Lianglong Sun retweeted
Polysynaptic routes in the WHITE MATTER CONNECTOME reveal neuroanatomical basis for TMS therapy
Shorter anatomical routes between stimulation site & deep brain target predict superior response
A step fwd for Network Neuroscience!
Out now: @NatureNeuro
rdcu.be/fdl8x
Lianglong Sun retweeted
We develop a new TMS targeting algorithm and test it in an open label trial in a treatment-resistant depression population with high comorbidities. Preprints by @rubykong92 @Torphernchern
1. doi.org/10.1101/2025.05.15.6…
2. doi.org/10.64898/2026.01.11.…
Our new approach ...
Lianglong Sun retweeted
🗳️ OHBM Council Voting is Open!
Vote for Council leadership and help shape OHBM’s future.
📅 Deadline: Apr 28, 11:59 PM CST
🔐 Vote Here: humanbrainmapping.org/26Ball…
Members only — renew to vote!
#OHBM #Neuroimaging
Lianglong Sun retweeted
Beyond delighted to see this paper -- our first from the SYPRES initiative -- now out at Nature Mental Health. Check out Parker's awesome explainer below, w/ links to dashboard + all code + data.
🍄 Our first sypres.io living systematic review and meta-analysis on psilocybin for depression is out now in @NatMentHealth. Here's what we found and the open science infrastructure we built to support it: 🧵
Open-Access Link: rdcu.be/fbU5V