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Bin Wan

@wanb.bsky.social

Computational Neurogenetics PostDoc @ Geneva Psychiatry PhD @mpicbs.bsky.social Personal web: https://wanb-psych.netlify.app/

23 Posts155 Follower303 Folgt
@gradientsworkshop.bsky.social · last yr.

It's a wrap! BIG thanks to all speakers, chairs, attendees, and our organizing committee - particularly our superstar local organizers Johan and Saurabh - for making our gradient dreams come true for the sixth year in a row ⭐ 🌈 🧠 🚀

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Bin Wan@wanb.bsky.social · last yr.

I finally defended my thesis! Thanks all! I started my PhD during covid! I am really grateful that my supervisor @sofievalk.bsky.social picked me to be her first PhD student when I was naive to neuroimage. I have been so lucky to stay in this happy and respectful academic environment so far!

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Nature Methods@natmethods.nature.com · last yr.

An Analysis of 200 pairwise statistics for functional brain connectivity in tasks such as hub mapping, distance relationships, structure-function coupling and behavior prediction highlights their effectiveness for neurophysiological applications. www.nature.com/articles/s41...

Benchmarking methods for mapping functional connectivity in the brain - Nature Methods

In this Analysis, Liu et al. benchmark more than 200 pairwise statistics for functional brain connectivity in tasks such as hub mapping, distance relationships, structure–function coupling and behavio...

nature.com

Amin Saberi@amnsbr.bsky.social · last yr.

🧠⚖️📉 How does the cortical excitation-inhibition ratio mature during adolescence? We asked this in our new paper just out in #ScienceAdvances ✨ “Adolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modeling” 📄 www.science.org/doi/full/10.... 🧵⤵️

Adolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modeling

Individualized simulations reveal a decrease in excitation-inhibition ratio in association areas throughout adolescence.

science.org

Maciek Szul@maciekszul.bsky.social · last yr.

🚨🚨🚨PREPRINT ALERT🚨🚨🚨 Neural dynamics across cortical layers are key to brain computations - but non-invasively, we’ve been limited to rough "deep vs. superficial" distinctions. What if we told you that it is possible to achieve full (TRUE!) laminar (I, II, III, IV, V, VI) precision with MEG!

Overview of the simulation strategy and analysis. a) Pial and white matter boundaries surfaces are extracted from anatomical MRI volumes. b) Intermediate equidistant surfaces are generated between the pial and white matter surfaces (labeled as superficial (S) and deep (D) respectively). c) Surfaces are downsampled together, maintaining vertex correspondence across layers. Dipole orientations are constrained using vectors linking corresponding vertices (link vectors). d) The thickness of cortical laminae varies across the cortical depth (70–72), which is evenly sampled by the equidistant source surface layers. e) Each colored line represents the model evidence (relative to the worst model, ΔF) over source layer models, for a signal simulated at a particular layer (the simulated layer is indicated by the line color). The source layer model with the maximal ΔF is indicated by “˄”. f) Result matrix summarizing ΔF across simulated source locations, with peak relative model evidence marked with “˄”. g) Error is calculated from the result matrix as the absolute distance in mm or layers from the simulated source (*) to the peak ΔF (˄). h) Bias is calculated as the relative position of a peak ΔF(˄) to a simulated source (*) in layers or mm.
Bin Wan@wanb.bsky.social · last yr.

Happy to share my last PhD work "Genetic, transcriptomic, metabolic, and neuropsychiatric underpinnings of cortical functional gradients". We used UKB, HCP, and QTAB to analyze the genetics of functional gradients. The results are so good, consistent, and inspiring! (1/3)

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Communications Biology@commsbio.nature.com · last yr.

🧠 The GINNA brain atlas offers a comprehensive framework for exploring the functional significance of 33 resting-state networks & their relationship to human cognition. @imn-bordeaux.bsky.social @achetyl.bsky.social www.nature.com/articles/s42...

GINNA, a 33 resting-state networks atlas with meta-analytic decoding-based cognitive characterization - Communications Biology

The GINNA brain atlas offers a comprehensive framework for exploring the functional significance of 33 resting-state networks and their relationship to human cognition, using task-based meta-analytic ...

nature.com

Alexandra John@johnalexandra.bsky.social · last yr.

For all the thalamus lovers❤️‍🔥 : Excited to share that our Paper is out now✨Huge thanks to @sofievalk.bsky.social and all collaborators @meikehettwer.bsky.social, @wanb.bsky.social, @amnsbr.bsky.social, @jroyer.bsky.social, @borismontreal.bsky.social, @linaschaare.bsky.social, Seyma Bayrak

Communications Biology@commsbio.nature.com · last yr.

Low-dimensional axes derived from thalamocortical connectivity align with intrathalamic microstructure, functional connectivity, and structural covariance, shedding light on the multimodal organization of the human thalamus. www.nature.com/articles/s42...

James Pang@jchrispang.bsky.social · 2y ago

For my first-ever bluesky post, I'm really excited to share our new preprint "Geometric influences on the regional organization of the mammalian brain" with @alexfornito.bsky.social and a superstar 17-person team! (1/n) www.biorxiv.org/content/10.1...

Geometric influences on the regional organization of the mammalian brain

The mammalian brain is comprised of anatomically and functionally distinct regions. Substantial work over the past century has pursued the generation of ever-more accurate maps of regional boundaries,...

biorxiv.org

Boris Bernhardt@borismontreal.bsky.social · 2y ago

Out in @natureneuro.bsky.social today 🥂 Cytoarchitecture, wiring and signal flow of the human default mode network Combining 3D histology, 7T MRI, and connectomics to explore DMN structure-function associations Led by Casey Paquola, @themindwanders.bsky.social & a terrific team of colleagues 🙏

The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow - Nature Neuroscience

The default mode network (DMN) is implicated in cognition and behavior. Here, the authors show that the DMN is cytoarchitecturally heterogeneous, it contains regions receptive to input from the sensory cortex and a core relatively insulated from environmental input, and it uniquely balances its output across sensory hierarchies.

nature.com

Bin Wan@wanb.bsky.social · 2y ago

Thrilled to share my latest work "Microstructural asymmetry in the human cortex" now out in NatComms. www.nature.com/articles/s41... This work used cytoarchitecture (BigBrain), T1w/T2w, qT1, and MT measures to bring the cortical asymmetry from macrostructure to microstructure.

Microstructural asymmetry in the human cortex - Nature Communications

The human cortex displays an anterior-to-posterior asymmetry, identified via both post-mortem and in vivo microstructural measurements. Microstructural asymmetry is heritable, varies across cortical l...

nature.com