Lianglong Sun

PhD student @HeLabBNU 🧠🏃🏼‍♂️🏀🏸⛷🏊🏼‍♂️

[Lianglong Sun @longong4]

Check our latest work on population-specific brain charts 😀

[YongHe_lab @HeLabBNU]

Check our latest preprint!

https://t.co/8KoPwroSNe

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 @longong4]

Congrats, Julio! I still remember being impressed by this work at ISMRM2024.

[Julio Villalón @JulioVillaln1]

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: https://t.co/1xDgqXN9Ao ⤵️

[Paul Thompson @PTenigma]

🔥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: https://t.co/JzLmfu2EDN
🎇@JulioVillaln1 @njahanshad @NirTalia
@ClaraMoreau9 @smkia83 @USCLONI
@KECKSchool_USC @USC @enigmabrains

[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

[ZaixuCui @zaixucui]

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: https://t.co/5MsidnrELX.

[Andrew Zalesky @AndrewZalesky]

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
https://t.co/mpoOQVaQhX

Concepts, priorities & recommendations to get started in the field

[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

[Jianxun Ren @DavidRen555]

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.

[Hesheng Liu @hesheng3]

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. https://t.co/6WHpBRNuQn
@bttyeo @foxmdphd @ndosenbach @club_scan

[Ted Satterthwaite @sattertt]

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.

[Andrew Zalesky @AndrewZalesky]

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
https://t.co/iAhLrkuJAA

[Thomas Yeo @bttyeo]

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. https://t.co/BEQF3DHyz1
2. https://t.co/JIZVzOoZcm

Our new approach ...

[Lucina Uddin @LucinaUddin]

Don't forget to vote. I'm running for chair! 🧠 @OHBM_DIC @OHBM_Trainees @OhbmEnvironment @OhbmOpen

[Ted Satterthwaite @sattertt]

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.

[Thomas Yeo @bttyeo]

Updated preprint: https://t.co/ijlAcpFtVA

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 @longong4]

@anlijuncn @NatureMedicine Congrats!

[Lianglong Sun @longong4]

Congratulations!!! Valuable study!!👍

[Jake Vogel @_JakeVogel_]

The lab's first published paper is here and I could not be more excited!! If you're interested in proteomics, AI or both, it could be an interesting read. Congrats @anlijuncn for a great piece of work, and big shout out to our collaborators at @_neuroproteome and @biofinder_study

[Thomas Yeo @bttyeo]

Do you censor high motion frames in fMRI? In two preprints by @twktan @mandyfmejia, we find that we may be censoring too much!

https://t.co/kSTADNYy93
https://t.co/TaQtTipAm3

In personalized TMS, strict censoring leads to worse targets than no censoring even with high motion!

[Pew-Thian Yap @pt_yap]

Today we report in @Nature how the human brain evolves functionally from birth to old age—revealing a continuous trajectory of maturation, specialization, and later-life reorganization. 🧠

Paper: https://t.co/6mloH3QdLw
N & V: https://t.co/4rw0rdjg0R

@UNCRadiology @BRIC_UNC

[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

[Andrew Zalesky @AndrewZalesky]

Mapping connectomes in disease?

Check out our article on clinical connectomics in @NeuroCellPress

- Tractography behavior in disease
- How to measure connectivity
- How pathology impacts each stage of connectome mapping
- Multiscale connectomics
https://t.co/u4CcFuPjPL