Pinned Tweet
Honoured to announce I have been awarded an @MND_RIA Postdoctoral Fellowship to continue my work understanding #MND through #MRI of #brain & spine! I look forward to working alongside @MarkusBarth2 @Fred_Steyn & @mndaustralia as we improve understanding of MND subtypes #ALS #PLS
Replying to @MND_RIA
The Bill Gole MND Postdoctoral Fellowship was awarded to Dr Thomas Shaw at UQ. His project is titled “Ultra-High Field MRI of Spinal Cord Tissue in Motor Neurone Diseases”.
3/7
Thomas Shaw retweeted
Thomas Shaw reveals how to use geometric deep learning of MRI scans to predict MND @pactals #PACTALS2025
Thomas Shaw retweeted
Jeryn highlighting divergent gene expression in glia from people with MND compared to bvFTD @pactals #PACTALS2025
Thomas Shaw retweeted
New template and segmentation for objective quantification of tongue musculature wasting. Clinical MND paper on the way!
@nervecentrals @thomcat992 @FightMND @MND_RIA
nature.com/articles/s41597-0…
Thomas Shaw retweeted
🧠⚡️ New results from our n=178 brain stim dataset using 7T MRS and fMRI! ⚡️🧠
1. Baseline glutamate levels predict the gains from stimulation.
2. Brain stimulation modifies learning-related changes in patterns of activity.
1/9
academic.oup.com/cercor/arti…
jneurosci.org/content/44/21/…
Thomas Shaw retweeted
🧠🤖Are you interested in deciphering disease heterogeneity using AI? We performed a systematic review and made the literature Table and open-source software publicly available: docs.google.com/spreadsheets… Pls help to update this table! @chrisdav66 @ZhijianYang97 @rongguangw
Thomas Shaw retweeted
The "Behind the Paper" blog post describing why and how we built Neurodesk is out now. Delve into the story behind Neurodesk.org - the challenges, the breakthroughs, and the solutions we developed for reproducible Neuroimaging. 👉communities.springernature.c….
Thomas Shaw retweeted
.@Neuro_Desk is a platform for analyzing human neuroimaging data. Its numerous containerized tools ensure reproducibility and portability.
nature.com/articles/s41592-0…
Great to see this is finally out :D well done @sbollmann_MRI et al
Our neurodesk.org paper was featured in Nature Methods today: nature.com/articles/s41592-0…
Neurodesk is a game-changer for accessible, flexible, and reproducible neuroimaging analysis across computing environments! 🧠💻
Thomas Shaw retweeted
Introducing NiChart v1: a multi-modal MRI brain chart built from over 50,000 individuals that provides imaging signatures of aging, neurodegenerative diseases, and neuropsychiatric disorders. neuroimagingchart.com/
A 🧵 [1/4]
Thomas Shaw retweeted
Congratulations @Sicong_T @BrainMind_Usyd @NerveCentralSYD | Global leadership in imaging research & treatment, to improve quality of life for patients & families. Partnerships with industry, government, community, healthcare providers @magxcite
Thomas Shaw retweeted
Non-motor symptoms in MND - Great data
"It's crucial to integrate non-motor symptom management into standard ALS care. Further research is needed for tailored interventions."
More awesome work @AhmadAlKhleifat @AmmarAlChalabi
🙌 Grateful for all contributors to our #ALS #MND survey, now in its second report!
📊 Key non-motor symptoms: cold limbs (60.4%), appetite loss (29.7%). Evening coldness in weak limbs and shock-like pain reported.
👥 Cold limbs in weaker limbs suggest immobility or autonomic neuropathy. Research is crucial. Interventions may include physiotherapy, passive movements, and gabapentin.
🩹 Pain, often electric or cold, affects 58% of pwALS, mostly moderate. Itching is unique. Nuanced strategies are needed for pain management.
🍽️ Loss of appetite links to mood and extended eating time; medication shows no significant impact. Strategies should prioritize mood improvement and support in eating. Nursing care is crucial.
✨ It's crucial to integrate non-motor symptom management into standard ALS care. Further research is needed for tailored interventions.
open access link : tandfonline.com/doi/full/10.…
Huge thanks to our funders
@mndassoc @alsassociation @DarbyRimmerMND
@AliShojaie_KCL @AmmarAlChalabi
Thomas Shaw retweeted
You computed #spinalcord cross-sectional area from #MRI using @SpinalToolbox. What next?
You can now compare this value with a database of 203 adult subjects. Check out this new interactive @NeuroLibre preprint by @ValosekJan @SandBedard :👇
neurolibre.org/papers/10.554…
Congrats Sicong! :D
Many thanks @pactals for the award. Excellent conference program and diverse talks highlighting pathways to therapies for ALS.
Looking forward to #PACTALS2025 in Melbourne!
Thomas Shaw retweeted
Bank: We're going to need a wet signature on this form. Please print, sign, scan, and send back to us.
Me:
% brew install ImageMagick
% convert -density 90 bank_form.pdf -rotate 0.5 -attenuate 0.2 +noise Multiplicative -colorspace Gray scanned_form.pdf
More great news!!
This week the NeuroDesk.org team was awarded the inaugural University of Queensland Conduct of Research, Reproducibility & Open Research Practices Award: uq.edu.au/research/node/1420… Thank you =)
Thomas Shaw retweeted
📰Individual differences in decision strategy relate to neurochemical excitability and cortical thickness by @HannahFilmer1 @timothyjballard @lab_cog @LiAnnLeow @shaneehrhardt @YohanWards @ReubenRideaux @thomcat992
@PaulEDux jneurosci.org/content/early/…
Thomas Shaw retweeted
Very happy to have been awarded this Excellence in Industry Engagement in Graduate Research Award award with @MarkusBarth2: uq.edu.au/research/uq-resear… . Thank you to @CibitIttc , @SiemensHealth, @Lizzie_Shaw11, @thomcat992 , @stewart_au
Congratulations to the 2023 winners of the #UQ Research Partnerships and Translation Awards 🙌
These awards recognise outstanding models of high-impact collaborative research partnerships.
Read more about the winners here: bit.ly/461aVit
#UQResearchAndInnovation
Happy we could have contributed in a small way to this. :)
This Post is from an account that no longer exists. Learn more
Thomas Shaw retweeted
🧠 Exciting News! Introducing deepbet: a neural network tool for fast brain extraction of T1w MR images. Achieves top-tier results in just ~1 second per image. 🚀
🔗 Preprint: arxiv.org/abs/2308.07003
🔗 GitHub: github.com/wwu-mmll/deepbet
Install via 'pip install deepbet'

































