Annie G. Bryant
@anniegbryant.bsky.social
190 followers 110 following 21 posts
PhD candidate in the Dynamics and Neural Systems Lab at The University of Sydney 🧠 I'm probs either biking, hammocking, and/or caffeinating rn ☀️🌻
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anniegbryant.bsky.social
🎊Ain’t no party like a thesis submission party🎊

Honored to have submitted my PhD as a recipient of the Paulette Isabel Jones Career Development Award from The University of Sydney!

Thank you x1000000 to MVP supervisor @bendfulcher.bsky.social & co-supervisor @macshine.bsky.social 😊
anniegbryant.bsky.social
Thank you all for the great chats about this work and the inspiring ideas for where to go next with this project!

And a big thank you to @bendfulcher.bsky.social and @macshine.bsky.social for your guidance and support throughout this project, as with all others of my PhD 😊
anniegbryant.bsky.social
#OHBM2025 was a blast -- the perfect way to celebrate submitting my PhD thesis with y'all 🎉
It was an honor (and so fun!) to represent the Aussie imaging community alongside a fab panel in the LOC Symposium, sharing my final thesis work on homotopic connectivity:

www.biorxiv.org/content/10.1...
Reposted by Annie G. Bryant
bendfulcher.bsky.social
New preprint!

Why are long-range connectomic interactions in the cortex dominant in shaping dynamics in some experiments but apparently negligible in others?

We (w/ R Maran, @elimuller.bsky.social) address this question by studying a new hybrid model of cortical dynamics.

arxiv.org/abs/2506.19800
Reposted by Annie G. Bryant
ohbmtrainees.bsky.social
‼️ATTENTION‼️

Social night is tonight 8pm at Paddo Tavern!!

Come for a relaxing night and unwind after a brain stimulating day! 🫠

All are welcome!! #OHBM2025
ohbmtrainees.bsky.social
🚨Wednesday evening is Social Night! 🚨

Come join us at the Paddo Tavern 25th June for the Open Science Gala & SP Social Night. Kickoff at 8pm! See you all there! #OHBM2025

Thanks to our sponsors @qimrb.bsky.social, @childmindinstitute.bsky.social, @theneuro.bsky.social, @wutsaiyale.bsky.social
anniegbryant.bsky.social
Big shout-out to @jlizier.bsky.social, whose patience, dedication, and guidance in supervising me through this project have been invaluable 🙏 Thank you also to our other fab co-authors for their insightful input as always: Oliver Cliff, @macshine.bsky.social, and @bendfulcher.bsky.social!
anniegbryant.bsky.social
I learned so much through working on this piece! My goal with this is to share a beginner-friendly and intuitive guide for all my fellow visual learners out there, that also doesn’t shy away from the maths and important nitty-gritty details 😊
anniegbryant.bsky.social
Unbiased opinion, but I’m really interested in how we can get the most bang for our info theory buck in computational neuroscience 🧠 So, we demo the implementation and interpretation of all 11 measures with an illustrative BOLD fMRI case study:
anniegbryant.bsky.social
We organized 11 measures into 6 categories according to temporal dependency and the type(s) of dynamical properties each measure captures. These measures are summarized in one large ‘pocket reference’ schematic, and we then zoom in to discuss the ‘what/how/why’ of each measure individually 🔎
anniegbryant.bsky.social
Info theory offers powerful measures for capturing complexity & interaction among elements of a complex system, like the brain! 🧠 Here's our new unified reference for key info-theoretic time series measures ft. 📊 visuals, ➗equations, & 💬descriptions:

arxiv.org/abs/2505.13080
Reposted by Annie G. Bryant
bendfulcher.bsky.social
New preprint!: "Using matrix-product states for time-series machine learning".
arxiv.org/abs/2412.15826
Quick summary below 👇
anniegbryant.bsky.social
🎨🧑‍🎨 Looking for a tool to visualize subcortical/thalamic data in 2D? Check out this python-based package I put together (subcortex-visualization on PyPI), plus a guide for creating your own custom atlas meshes and vector graphics! All feedback/tips welcome 😊

anniegbryant.github.io/subcortex_vi...
Reposted by Annie G. Bryant
jwvogel.bsky.social
I am so very proud announce my lab's first preprint!!

@xiaoyucaly.bsky.social delves into the mechanisms driving tau distribution:
* Tau sequence driven by connectivity dynamics
* Tau load driven by local factors

Check out her thread below
xiaoyucaly.bsky.social
🧠New preprint! What drives tau, the pathological protein in AD, to spread?
We found that WHERE tau appears and HOW MUCH accumulates are governed by different mechanisms. Check it out:
www.biorxiv.org/content/10.1...

#MedSky #neuroskyence #neurosky #alzsky #compneuro #MRI #neuroimaging #neurology
www.biorxiv.org
Reposted by Annie G. Bryant
jchrispang.bsky.social
We are hiring!

@aurinaarn.bsky.social and I are jointly looking for a talented Postdoc in Systems and Comp Neuro at Monash (AUS).

If you like neuroimaging 🧠, comp models 💻, genetics 🧬, brain disorders 🤕, and/or evolution 🐵🐭, this could be the job for you!!

careers.pageuppeople.com/513/cw/en/jo...
Job Search
careers.pageuppeople.com
Reposted by Annie G. Bryant
loiclabache.bsky.social
🚨 New #preprint: The molecular and cellular underpinnings of human brain lateralization

🔗 doi.org/10.1101/2025...

🧠 We identify an acetylcholine-norepinephrine axis underlying functional lateralization, along with mitochondrial and cellular correlates. 🧵1/9👇

#neuroskyence
The molecular and cellular underpinnings of human brain lateralization
Hemispheric specialization is a fundamental characteristic of human brain organization, where most individuals exhibit left-hemisphere dominance for language and right-hemisphere dominance for visuosp...
doi.org
anniegbryant.bsky.social
Thank you very much to the COGITATE Consortium for openly sharing the MEG data we used in our analyses, and to our supervisors @bendfulcher.bsky.social and @macshine.bsky.social for supporting our first fully independent PhD project. Hope you enjoy, and we’re very open to feedback! 😊
anniegbryant.bsky.social
@christopherjwhyte.bsky.social and I introduce a novel data-driven framework to evaluate >200 connectivity-based neural correlates of consciousness! Results are used to quantitatively compare predictions from neurodynamical models tailored to theoretic predictions.

www.biorxiv.org/content/10.1...
Reposted by Annie G. Bryant
brendanjohnharris.bsky.social
Going to #cosyne2025? Wondering whether higher cortical regions are closer to a critical point? Stop by poster [1-117] on the 27th March to chat about detecting #criticality in noisy systems like the #brain!

Poster and related links are up now at: github.com/brendanjohnh...
GitHub - brendanjohnharris/Cosyne_2025: Poster file for Cosyne 2025
Poster file for Cosyne 2025. Contribute to brendanjohnharris/Cosyne_2025 development by creating an account on GitHub.
github.com
anniegbryant.bsky.social
All the data viz code is in our repo (though it's currently still a bit of spaghetti code while I finish organizing my bits 🍝): github.com/DynamicsAndN...

And lastly I combine all my figures in Inkscape!
github.com
anniegbryant.bsky.social
Thank you, Tara! I swear by the R package "ggseg" (led by @drmowinckels.io) for brain map visualization and the python package @networkx.bsky.social for the circular network connectivity plots 😊
anniegbryant.bsky.social
Thank you to @aditijh.bsky.social for welcoming me to join her in this project this last year, to our supervisors @bendfulcher.bsky.social, @alexfornito.bsky.social, @lawraga.bsky.social & fantastic co-authors Patrick Cahill, Brandon Lam, @stuartoldham.bsky.social, and @aurinaarn.bsky.social!
anniegbryant.bsky.social
Together with new biological insights into the brain’s overlapping structural architecture, this work introduces a generalizable method for systematically comparing overlapping community detection algorithms to an ensemble of simulated networks tailored to your particular dataset at hand:
anniegbryant.bsky.social
In contrast to Louvain clustering, which doesn’t allow overlapping assignments, OSLOM can disentangle communities bridged by two key regions, with the flexibility to capture the brain as a complex system characterized by fluid distributed interactions:
anniegbryant.bsky.social
These 15 nodes generally (though not always!) sit at the apex of the topographical hierarchy of the cortex quantified by the first principal gradient (PG) of functional connectivity (shoutout to Dan Margulies for sharing the data via neuromaps from Ross and Justine in @misicbata.bsky.social lab):