Will Snyder

PhD candidate and Gates Cambridge scholar @NIHOxCam
Curious about cortical folds

[Will Snyder @will_snyder98]

Our paper is now out in Neuron! @NeuroCellPress (details from preprint thread below, now with more results and containerized pipeline!) w/ @bogglerapture @edbullmore @petra_vertes and amazing coauthors

https://t.co/EFoaylbu1f

[Will Snyder @will_snyder98]

(1/11🧵) Echoes of fetal development etched into the adult brain 🧠 - Excited to share our new preprint!
“A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients”
https://t.co/TOo9ArvBgU

[Luke Schaffer (he/him) @Lukas_Schaffe]

So so so happy to share that my first, first-author paper from my time at @NIMHgov is now available online at Journal of Neurodevelopmental Disorders!

https://t.co/Mr9ggo9Uw1

See below for a 🧵of key findings... 1/

[Rebecca Shafee রেবেকা শফি @rebecca_shafee]

Our paper (@bogglerapture @damadam, @dmoracze , Siyuan Liu, @wakeworksleep) on sex differences in the genetic architecture of the human brain anatomy is now out in @NatureComms @SpringerNature !

https://t.co/1x4wjimJ9d

Please see original post below for details…

[Dr. Alex DeCasien (Thunderbolt) @AlexDeCasien]

I’m thrilled & honored to be starting a new lab @ the NIA!! 🤩🥹

The Computational & Evolutionary Neurogenomics Unit focuses on:

• neurodegenerative diseases 🧓🏽
• sex-biased 🧠 aging
• comparative neurobio 🐒🐁

We’re looking for postdocs! 👀

Pls RT! DM me for more info ☺️

[Will Snyder @will_snyder98]

@jsolec Thanks so much Jordi!!

[Will Snyder @will_snyder98]

@schleifer_c @NeuroCellPress @bogglerapture @edbullmore @petra_vertes Thank you Charlie!!

[Will Snyder @will_snyder98]

Our paper is now out in Neuron! @NeuroCellPress (details from preprint thread below, now with more results and containerized pipeline!) w/ @bogglerapture @edbullmore @petra_vertes and amazing coauthors

https://t.co/EFoaylbu1f

[Will Snyder @will_snyder98]

(1/11🧵) Echoes of fetal development etched into the adult brain 🧠 - Excited to share our new preprint!
“A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients”
https://t.co/TOo9ArvBgU

[Will Snyder @will_snyder98]

@LucinaUddin Thanks so much Lucina!

[Will Snyder @will_snyder98]

And with generous support from @Gates_Cambridge @NIHOxCam and the teams at @uk_biobank @DevelopingHCP

[Will Snyder @will_snyder98]

Thank you again to the great team that made these unique analyses possible! @edbullmore @bogglerapture @petra_vertes Vanessa Kyriakopoulou @KonradWagstyl @lzjwilliams @dmoracze @damadam
@KarolisSlava @jakob_seidlitz , Denis Rivière,
@JF_Mangin @emrobSci

[Will Snyder @will_snyder98]

@James_Cobbie If you were to build the roads of a country from scratch, one good idea would be to lay down the highways (long + straight) first and backroads (complex / meandering) thereafter. It looks like the roadmaps (fold creases) of the human brain form in that same pattern before birth!

[Will Snyder @will_snyder98]

(1/11🧵) Echoes of fetal development etched into the adult brain 🧠 - Excited to share our new preprint!
“A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients”
https://t.co/TOo9ArvBgU

[Will Snyder @will_snyder98]

@edbullmore @bogglerapture @petra_vertes @KonradWagstyl @lzjwilliams @dmoracze @damadam @KarolisSlava @jakob_seidlitz @JF_Mangin And @emrobSci !

[Will Snyder @will_snyder98]

(10/11) In sum, we show strong correspondences between adult cortical patterning, fetal sulcation timing, and gene expression gradients. Different sulci may be formed by different processes, such as cytoarchitecture-induced buckling (linear) or “crumpling” constraints (complex)

[Will Snyder @will_snyder98]

(11/11) Very grateful to my supervisors @edbullmore @bogglerapture @petra_vertes
and amazing collaborators for making this work possible! w/ Vanessa Kyriakopoulou, @KonradWagstyl, @lzjwilliams, @dmoracze, @damadam, @KarolisSlava, @jakob_seidlitz, Denis Rivière, @JF_Mangin

[Will Snyder @will_snyder98]

(9/11) Finally, we used dense expression maps of cortical gene expression to identify genes that transition from low to high expression across sulcal borders – GO enrichments found that linear sulci are mechanistically underpinned by cytoarchitecture + developmental genes

[Will Snyder @will_snyder98]

(8/11) Remarkably, adult sulcal complexity showed strong correlation (r>0.73) with milestones of sulcal development in the independent fetal dataset. Variability in sulcal complexity showed unexpected constraints on ~both~ early and late sulcation (inverted-U curve)

[Will Snyder @will_snyder98]

(7/11) To test if these patterns of adult sulcal shape were grounded in fetal development, we generated high temporal resolution growth curves of fetal sulcation (with a nice example animation for linear sulci here thanks to code from @StuartJOldham ! https://t.co/jZ3W48yEBM)

[Will Snyder @will_snyder98]

(5/11) PCA of the mean SPN revealed a linear-to-complex axis of human cortical folding (eigen-fold index [EFI]), with sulci clustered near the poles of the axis, and with the most polar linear and complex sulci having constrained shape (low inter-individual variability)

[Will Snyder @will_snyder98]

(6/11) Linear sulci were more heritable, thinner (in gray matter), and more often found in unimodal cortex than complex sulci found in transmodal cortex that exhibited greater relative surface area expansion with increasing brain volume

[Will Snyder @will_snyder98]

(4/11) We defined sulcal phenotype networks (SPNs) in adult brains from pairwise similarity between sulci, with group mean SPN showing a clear clustering of sulci into two groups: linear (deep / straight) and complex (shallow / fractal)

[Will Snyder @will_snyder98]

(3/11) To assess sulcal shape, we constructed a new suite of sulcal morphometrics derived from BrainVISA, measuring sulci about radial and tangential dimensions of the cortex, generating 5 sulcal phenotypes for each of 40 sulci identifiable in each adult brain