In people w/ Alzheimer's, blood vessels are tortuous and irregular just like what we reported in tau models in 2018. In our new work, we show that there's a lot more perivascular tau than previously thought. Read about clear brains + vascular tau here: link.springer.com/article/10.100…

Congratulations Valerie 🎉👏 It was great to meet you and hear about this project at Noosa earlier this year!

We (and our alumni and colleagues) have a slew of exciting work to share in #OHBM2024!! Have a look at the posters looking at new developments of brain eigenmodes in neuroimaging, modelling in clinical populations, and network control theory.

#OHBM very excited to share this (v2.0) at the 'Transdiagnostic Perspectives on Neurodevelopmental and Psychiatric Disorders - Part 1' 12pm oral session on Tuesday, and poster #1740 on Wed/Thurs afternoon! Come say hi 😊

Check out our latest transdiagnostic open data release. MRI (rest, task, anatomicals) and 50+ behavioral measures in ~240 people, many with a psychiatric Dx). 👇🏾👇🏾👇🏾👇🏾👇🏾👇🏾👇🏾 If you are at #OHBM2024, come chat about the TCP dataset at poster 2221 (session 3/4)🧠

At #OHBM2024 I'll be presenting my work where I used generative network models to explore the constraints on connectome formation. Come see my poster (#1530, Wednesday/Thursday) to learn what I wish I had known 4 years ago when doing my PhD :)

#OHBM Come see me at poster #2415 tomorrow and Thursday! My current rabbit hole: unpacking fMRI BOLD signal variability from a signal processing perspective + using multivariate tools to place BOLD variability back in the body (ft some cool thalamus findings).😊

Looking for a little reading on your way home from #ohbm2024? Our (Jeg Tiego Linden Parkes Avram Holmes Andre Marquand Alex Fornito) latest preprint argues that embracing variability is essential to uncover the biological mechanisms of psychiatric illness 🧵/1 osf.io/preprints/osf/…

Huge, well done Lachie!! 👏🎉

Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP) We're really interested in the problem of inferring sources of non-stationary variation directly from measured time-series data. arxiv.org/abs/2407.08987… Quick summary 👇

Do you use surface fMRI? We found spurious correlations in surface fMRI, with potentially serious implications for test-retest reliability, fingerprinting, functional parcellations and brain-behaviour associations (1/n) biorxiv.org/cgi/content/sh…

New preprint by Rishi Maran Eli Muller "Analyzing the Brain's Dynamic Response to Targeted Stimulation using Generative Modeling" A review/perspective on why new mechanisms may be found by modeling brain stimulation dynamics 🧠⚡️ arxiv.org/abs/2407.19737 Quick summary 👇

I’m excited to introduce Integrated Alignment! A new method for inter-subject MRI alignment that fuses standard diffeomorphic alignment (MSMSulc/MSMAll) and functional alignment (hyperalignment). Read on! (1/6) doi.org/10.1162/imag_a…

New paper in Imaging Neuroscience by Jayson Jeganathan, Michael Breakspear, et al: Integrating anatomical and functional landmarks for interparticipant alignment of imaging data doi.org/10.1162/imag_a…

Our work by Brendan Harris (w Leo Gollo) on tracking the distance to criticality in noisy systems is now out in Physical Review X 🙂 (includes an application tracking criticality across the mouse visual hierarchy) doi.org/10.1103/PhysRe… Code details: time-series-features.gitbook.io/time-series-an…

I'm really thrilled to be part of this collaboration. Minkyu Jeon and co put in a huge amount of sorely needed work for the cryo-EM field.

Thank you Oscar Ferrante and the whole ARC-COGITATE team for the opportunity to participate in this data challenge and meet others in the MEG community, Christopher Whyte and I had a fantastic time!