Had a fantastic time presenting our novel eigenmode-driven normative models at the ISMRM Diffusion Workshop! 🧠📊

Check out our preprint here: www.medrxiv.org/content/10.1...

Great talk by Simona Schiavi at the ISMRM workshop on 40 years of diffusion! Interesting to see the DK atlas as the top choice for mapping connectomes—though, as expected, a diverse range of opinions. No single right answer!

@ismrm.bsky.social

⚠️ Note: This is an early **prototype**, built from HCP lifespan data. We’d love to hear your thoughts—try it out and let us know what you think!

🧠 What can you do?

✨ Get real-time reference thickness charts across the lifespan
✨ Query any location on the cerebral cortex
✨ See how cortical thickness varies over time at different loci

Here’s a sneak peek: 🎥👇

9/ 🚨 But there’s more!

SNM reveals the heterogeneity in cortical atrophy among AD patients. AD patients are not only different from healthy individuals but also highly diverse among themselves, beyond the conventional findings of group/subtype-level studies.

8/ 🧩 To demonstrate the transformative potential of high-resolution normative assessments, we applied SNM to an Alzheimer’s Disease (AD) cohort.

🧠 The deviation signatures distinguish AD from healthy controls and yield an extreme value atrophy predictor of cognitive ability.

7/ Why does this matter?

🔍 These charts allow us to evaluate an individual’s localized deviation from healthy reference norms—unlocking valuable biomarkers for personalized assessments.

6/ 🎯 This enables high-resolution normative brain charting:

For the first time, we map lifespan trajectories of cortical thickness at vertex resolution. See how norms shift in mean and standard deviation across ages.

5/ SNMs aren’t just flexible—they’re fast. 🚀
Compared to traditional (direct) methods, SNM with 1000 brain modes achieves equivalent accuracy for a wide range of spatial phenotypes, all while reducing compute time by 98%.

4/ Spectral Normative Modeling (SNM) uses information reconstruction capabilities of brain eigenmodes to map brain charts that are:

✅ Atlas-free
✅ Resolution-agnostic
✅ Computationally efficient
One SNM = normative ranges for infinitely many phenotypic delineations! 🎯

2/ 🧠 Brain charts are like growth charts in pediatrics—they establish reference norms for brain structure, helping the detection of abnormal alterations in individuals, with implications for neurological & psychiatric disorders.

Yet, current methods have limitations… ⚠️