@ZShaoshi

neuroscience, computational psychiatry | Computational Brain Imaging Group | Center for Brain Circuit Therapeutics | Huge fan of Edward Hopper

 Singapore
Joined May 2020
  • Tweets186
  • Following176
  • Followers220
13Media
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
1
9
28
1,638
10/11 ... Gustavo Deco, Narayanaswamy Venketasubramanian, @HelenJuanZhou, Chris Chen. A real team effort 🧠!
1
1
49
11/11 Code: github.com/ThomasYeoLab/CBIG… And if E/I estimation is too slow for you, check out @tianchuzeng and @t___fang 's amazing work using deep neural networks to speed up biophysical model fitting: biorxiv.org/content/10.1101/…
1
50
Shaoshi Zhang retweeted
Andrea Luppi@loopyluppiOct 2
8/ Microscale to macroscale mechanism A biophysical model simulating the prolonged inhibitory postsynaptic currents of GABAergic anaesthetics at the microscale, reproduces 461/485 (95%) of macroscale empirical features 🤯 Shortening excitation (à la ketamine) also gets >90% ✅
1
2
5
305
Shaoshi Zhang retweeted
Jonathan Rittmo@jorittmoOct 1
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… 🧵⬇️
3
12
4
33
5,552
Just discovered this review and best practice guidelines for AI/ML for Neural Engineering. Some of the best illustrations I've seen of all the different ways cross validiation can (and should not) be done with time series data. Carlson et al (2025). doi.org/10.1088/1741-2552/ad….
3
13
37
3,369
Shaoshi Zhang retweeted
Lijun AN | 安丽军@anlijuncnSep 10
🧵 Struggling to replicate a proteomics biomarker study? Our new preprint quantifies one common cause: data leakage. With NO true signal, some runs with data leakage still reached AUCs near 0.8. w/ @_JakeVogel_, Caitlin Finney, Artur Shvetcov & @_neuroproteome
1
9
1
20
2,933
Shaoshi Zhang retweeted
Mervyn Lim@MervynLimJRSep 2
The code for our paper has been released: github.com/ThomasYeoLab/CBIG…! We showed that MS-HBM can reliably estimate individual-specific rs-fMRI networks in drug-resistant epilepsy and that individual-specific language network topography can predict task-fMRI language dominance.
1
10
32
1,560
Shaoshi Zhang retweeted
Mervyn Lim@MervynLimJRSep 2
Many thanks again to @ZShaoshi @shreyapande15 @rubykong92 @xueaihuiping @bttyeo Sara and Kareem for all their advice and support on this journey! Link to paper: onlinelibrary.wiley.com/doi/…

Individual‐specific resting‐state networks predict language dominance in drug‐resistant epilepsy

Objective This study was undertaken to reliably estimate individual-specific resting-state cortical networks and determine whether language network topography can predict task-based language domina...

onlinelibrary.wiley.com
2
3
365
Shaoshi Zhang retweeted
Jingnan Du
@jingnandu049Aug 8
📣 New preprint: Multiple Nested Distributed Language Networks in the Human Brain. 📣 Brain regions specialized for language have been extensively described. But are they organized into one network, or multiple? Our new preprint provides evidence for the latter: biorxiv.org/content/10.64898…

Multiple Nested Distributed Language Networks in the Human Brain

Brain regions specialized for language have been extensively described, yet their arrangement into one or multiple networks remains debated. Using precision functional mapping across three independ...

biorxiv.org
5
27
2
94
9,359
New in @AmJPsychiatry — personally I think this is my best paper so far. Highest statistical rigor, strongest causal inference (via a series of natural experiments), and multiple clinical applications. Thanks @KJBinSTL and team tagged below. psychiatryonline.org/doi/10.…
3
27
1
78
9,589
Shaoshi Zhang retweeted
Alex Fornito
@AFornitoJul 4
Very cool new work from Nenad Satan @AshleaSegal and team!
nature
@NatureJul 2
Nature research paper: Competing programs shape cortical sensorimotor–association axis development go.nature.com/4v57OBW

Competing programs shape cortical sensorimotor–association axis development

Nature - Multispecies evidence supports the multinodal induction–exclusion in network development model, in which sensorimotor-to-association patterning is governed by competing processes of...

nature.com
3
19
4,095
Load more