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Reposted by Jake Vogel

biofinder.bsky.social @biofinder.bsky.social · Sep 5

🚨New paper alert! Our study led by @teanijarv.bsky.social
investigated why some individuals with Alzheimer’s disease (AD) develop hemispheric asymmetry in tau pathology and what drives this phenomenon.
Out now in Nature Communications! 🔗Full article: doi.org/10.1038/s414...
A thread🧵👇

Hemispheric asymmetry of tau pathology is related to asymmetric amyloid deposition in Alzheimer’s Disease - Nature Communications

Asymmetrical distribution of tau pathology in Alzheimer’s disease is linked to asymmetrical amyloid-beta deposition, not reduced brain connectivity, suggesting regional vulnerability plays a key role ...

doi.org

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Jake Vogel @jwvogel.bsky.social · 15h

Really compelling evidence in humans for network propagation hypothesis of tau spread: individualized connectivity helps resolve individualized tau patterns.

#MedSky #neuroskyence #neurosky #alzsky #compneuro #ai #datascience #bioinformatics #neurology

Harry H Behjat @aitchbi.bsky.social · 1d

does brain connectivity drive spread of pathological proteins in Alzheimer’s disease?

✨ preprint: www.biorxiv.org/content/10.1...

if the question intrigues you, please read on 🧵⤵️

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Reposted by Jake Vogel

Pavan Chaggar @pavanchaggar.bsky.social · Aug 11

I'm thrilled that our paper "Personalised regional modelling predicts tau progression in the human brain" is finally published in PLoS Biology!

Here's a short thread about the main findings of the paper...

PLOS Biology @plosbiology.org · Jul 22

Accumulation of aggregated tau shows a complex spatio-temporal pattern during #AlzheimersDisease, but why? @pavanchaggar.bsky.social @alaingoriely.bsky.social &co describes #TauProtein dynamics in AD, showing stage-specific shifts in production & transport @plosbiology.org 🧪 plos.io/4kNA6vX

Simulated transport and production dynamics in the local FKPP model. Left: Simulation from the local FKPP model using carrying capacities derived from Gaussian mixture models (shown top right). Each line in the middle panel represents the SUVR trajectory of one DK atlas brain region. Values at time points years are projected onto a cortical rendering in the top panel. Each line in the bottom panel represents concentration averaged over Braak regions. Top right: Two component Gaussian mixture model fit to a multi-cohort tau PET dataset [24] and data from ADNI for right inferior temporal lobe. Bottom right: Right hemisphere cortical rendering of the SUVR carrying capacities as determined through Gaussian mixture modelling.

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Reposted by Jake Vogel

Adrian Liston @labliston.bsky.social · Sep 3

🧵How to write and manage your first research budgets

The point of funding is to convert it into quality research. A well-spent research budget should fund the idea it was raised on, plus revision experiments, plus preliminary data for the next grant. So you need to spend, while avoiding waste.

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Jake Vogel @jwvogel.bsky.social · Jul 25

Sure -- i guess the idea/hope here is that the information itself might actually be in the 3T image, but in such a manner that is not perceptible by humans, or quantifiable using current approaches. We've already seen some evidence of that, but we def need more clinical data to figure it out

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Jake Vogel @jwvogel.bsky.social · Jul 25

Many included participants had fairly extensive brain atrophy due to old age and/or neurodegenerative disease. Or did you mean something else?

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Reposted by Jake Vogel

Colleen Steckel @colleensteckel.bsky.social · Jul 23

We need higher resolution brain scans for people with #MyalgicEncephalomyelitis. This is an exciting development that could lead to better clinical understanding for many of us. #Neuroskyence #medsky

Jake Vogel @jwvogel.bsky.social · Jul 22

‼️NEW PREPRINT‼️

What if you could take a normal 3T T1w MRI and make it look like it was acquired from a 7T scanner?

That's exactly what we do using AI in our new preprint!

Link: arxiv.org/abs/2507.13782

#neuroskyence #neurosky #compneuro #AI #datascience #neurology #mrisky #neuroimaging

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Reposted by Jake Vogel

David H Friedel Jr @davidhfriedeljr.bsky.social · Jul 22

If clinically validated, it could democratize access to advanced imaging, improve neuro-diagnostic precision, and streamline both research and patient care without requiring costly hardware upgrades.

A win for everyone

Jake Vogel @jwvogel.bsky.social · Jul 22

‼️NEW PREPRINT‼️

What if you could take a normal 3T T1w MRI and make it look like it was acquired from a 7T scanner?

That's exactly what we do using AI in our new preprint!

Link: arxiv.org/abs/2507.13782

#neuroskyence #neurosky #compneuro #AI #datascience #neurology #mrisky #neuroimaging

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Jake Vogel @jwvogel.bsky.social · Jul 22

Led by brilliant MSc student Malo Gicquel and co-supervised by equally brilliant Gabrielle Flood. We also got great contributions from @anikawuestefeld.bsky.social @xiaoyucaly.bsky.social @rikossenkoppele.bsky.social @lemwisse.bsky.social @biofinder.bsky.social @davidberron.bsky.social
and others!

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Jake Vogel @jwvogel.bsky.social · Jul 22

We are working on assessing utility of this 3T->7T model in clinical situations, improving it, making it more generalizable, and extending it to other sequences. Please get in contact if you have some paired 3T-7T data, even if its a small dataset!

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Jake Vogel @jwvogel.bsky.social · Jul 22

This is super important — it means increasing the quality of the image is not just eye candy. It might actually improve some of the downstream tasks we use the MRI for, like segmentation and visual reads.

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Jake Vogel @jwvogel.bsky.social · Jul 22

Most impressively, when we ran automated amygdala segmentation on the real 3T and synthetic 7T, the segmentations from the synthetic 7T better matched manual segmentations of the amygdala!!

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Jake Vogel @jwvogel.bsky.social · Jul 22

Our models outperform existing models on this task in terms of traditional metrics. However, a set of four blinded radiologists and MRI professionals also subjectively rated the synthetic images to be of higher visual quality than the images they were synthesized from.

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Jake Vogel @jwvogel.bsky.social · Jul 22

Shockingly, when applied to unseen 3T scans, our models produce synthetic scans that resemble the original images, but sharper and with better contrast, while avoiding common artifacts seen on 7T scans.

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Jake Vogel @jwvogel.bsky.social · Jul 22

We exploited a valuable dataset of 172 cognitively impaired and unimpaired older people from
@biofinder.bsky.social with paired 3T and a 7T T1-weighted scans. To this dataset, we apply our own specialized U-Net and GAN U-Net model, as well as some previously described models.

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Jake Vogel @jwvogel.bsky.social · Jul 22

To improve accessibility of these high quality scans, we look to synthetic AI “super-resolution”, which has already been successful in brining lower field (0.5T - 1.5T) to 3T resolution.

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Jake Vogel @jwvogel.bsky.social · Jul 22

7 Tesla (7T) MRI is important for studying fine anatomical morphology, and has found important applications in clinical research centers focusing on epilepsy and MS. But, its ceiling is underexplored; <150 7T scanners exist worldwide!

7T world map: google.com/maps/d/u/0/v...

Ultra-High Field MRI scanners - Google My Maps

All human MRI scanners with field >= 7T, corrections welcome ([email protected]). Thanks to Allen Waggoner for many edits and updates.

google.com

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Jake Vogel @jwvogel.bsky.social · Jul 22

‼️NEW PREPRINT‼️

What if you could take a normal 3T T1w MRI and make it look like it was acquired from a 7T scanner?

That's exactly what we do using AI in our new preprint!

Link: arxiv.org/abs/2507.13782

#neuroskyence #neurosky #compneuro #AI #datascience #neurology #mrisky #neuroimaging

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Jake Vogel @jwvogel.bsky.social · Jul 17

Incredibly excited for this new work from our lab. We test the potential of AI-based neurodegenerative disease diagnostics using plasma proteomics data from n>17,000 people, led by the brilliant and indefatigable @anlijuncn.bsky.social Check it out!👇

Lijun An @anlijuncn.bsky.social · Jul 15

Can AI reveal risk & co-pathology of multiple neurodegenerative diseases from a single blood sample? We explored AI-based diagnostic power on high rank plasma proteomics (N=17,170). www.medrxiv.org/content/10.1... #neuroskyence #neurosky #Alzheimer #compneuro #AI #datascience #neurology

Benchmarking the AI-based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,170 people

Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathologi...

www.medrxiv.org

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Reposted by Jake Vogel

Alex Fornito @alexfornito.bsky.social · May 27

Have recent changes led to uncertainty in your future scientific career?

Wonder it's like in Australia?

Good news!

Monash's is seeking to hire talented EMCRs from other countries.

Come join a wonderful community of brain mappers & modellers!

www.monash.edu/research/eme...

EMERGE

www.monash.edu

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Jake Vogel @jwvogel.bsky.social · May 27

‼️Preprint alert‼️

Star PhD student @jorittmo.bsky.social uses functional gradients as a framework to study longitudinal brain functional reorganization in aging and AD.

Check out the thread
👇🏼

#MedSky #neuroskyence #neurosky #alzsky #compneuro #MRI #neuroimaging
#neurology

Jonathan Rittmo @jorittmo.bsky.social · May 27

How does the brain reorganize in the context of age and AD?

Are functional changes in age and AD similar?

Are these changes dynamic across the age/AD spectrum?

We unpack these questions in a sample of N=973 with AD biomarkers

Preprint: tinyurl.com/ymv8s7h8

⬇️🧵

1/

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Reposted by Jake Vogel

Benjamin Kay @benjaminkay.bsky.social · May 22

My med school textbook says stimulants like Ritalin treat hyperactivity by “stimulating” the brain’s attention and cognitive control systems. We studied children taking stimulants in the ABCD Study, and the largest differences were actually in arousal and reward networks! Check out our preprint!

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Reposted by Jake Vogel

Étienne Vachon-Presseau @evp82.bsky.social · May 9

Our new @NatureComms paper: We used UK Biobank data (n≈193K) to build ML models predicting tinnitus presence (driven by hearing health) and severity (influenced by mood, neuroticism & sleep). A simple 6-item POST questionnaire forecasts 9-yr outcomes. shorturl.at/4AF4P

Tinnitus risk factors and its evolution over time - Nature Communications

Improving tinnitus prevention and clinical management by identifying key associated risk factors is crucial. Here, the authors use machine learning in a large cohort to identify key predictors of tinn...

shorturl.at

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Reposted by Jake Vogel

Linden Parkes @lindenmp.bsky.social · Apr 28

Excited to share the first major piece of work and preprint from my lab! Led by Jason Kim! 🥳🎉🤘

www.biorxiv.org/content/10.1...

a man applauds with the words so proud of my team above him

ALT: a man applauds with the words so proud of my team above him

media.tenor.com

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Reposted by Jake Vogel

biofinder.bsky.social @biofinder.bsky.social · Apr 25

‼️New preprint!
We are happy to share our latest work led by @teanijarv.bsky.social investigating why tau pathology in AD often accumulates more in one hemisphere of the brain than the other.

Check out 🔗https://biorxiv.org/content/10.1101/2025.04.15.648728v1 or dive into the details below👇

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