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Why do some parts of the cortex expand faster than others in during gestation? We set out to answer this question in our new preprint: biorxiv.org/content/10.110… Some details below –

New preprint, on 'sequence filtering'. Led by Ciana Deveau, Z Zhou. We see this as a key step forw on how cortex works. All cortical areas have dense exc-exc recurrent connectivity. What do these connections do, esp in sensory ctx? Our data say: they do dynamics/time. 1/4

conn2res: a toolbox for connectome-based reservoir computing | doi.org/10.1038/s41467… Computational phenotyping of neural wiring: convert biological networks to artificial networks. by Laura Suarez ⤵️

1/7 Our latest preprint, "Eigenmodes of the brain: revisiting connectomics and geometry", offers new insights into brain eigenmodes constructed from geometry and connectivity. Read on for a brief overview! biorxiv.org/content/10.110…

2 years into making, the last chapter of my PhD thesis, and a set of wonderful collaborators: @m00rcheh, @ShreyDixitAI, Bratislav Misic, @caioseguin, @GZamora_Lopez, Claus C Hilgetag. 🧵 What can we learn about communication in brain networks from 7000 million virtual lesions:

I'm so excited to share the culmination of this thrilling adventure with Amy Janes and Blaise Frederick, out now in Nature Human Behaviour 📜 includes tools to detect and remove this pernicious 🎈artifact that hides in plain sight in our #fMRI datasets rdcu.be/dLgVM 🧵..

New banger from Brandon Munn and co. TL/DR: coarse-graining multi-species calcium data allows us to link across scales and make some inferences about how information processing might work in the brain. Super fun collab with Eli Muller Michael Breakspear & Ethan Scott

Arnaud, Mark and Claus C Hilgetag found that you can threshold most of the connectome, binarize the rest, and still get the same rough dynamics. It gets even more interesting because you can do the same with ANNs and get the same performance with a lot less compute time 🤌

🧠This research by Jingnan Du et al. aims to unravel the mysteries of cerebral networks through intensive #fMRI data sampling revealed a fascinating hierarchical organization within individuals. 🔓ow.ly/zwUS50SuwOB #OpenAccess Lauren DiNicola #AssociationCortex

Our cortical surface template, onavg (short for OpenNeuro Average), is published in Nature Methods. Onavg evenly samples different parts of the cerebral cortex, leading to improved performance of various analysis and reduced computational time. Guo Jiahui Ida Gobbini Haxby Lab

🚨Preprint alert!🚨"The Genetic Architecture of the Human Corpus Callosum and its Subregions" Meta-analysis of 46,685 European and replicated in 7,040 non-European ancestry individuals from the UK Biobank and ABCD studies. biorxiv.org/content/10.110…

Very elegant perspective article with important implications for the interpretation of fMRI *dysconnectivity* (plus it explains a lot of data we have generated in the lab...) 👇 nature.com/articles/s4146…

very excited about this new line of research!! 🧠🪰

We have updated NextBrain with: - new atlas with improved brainstem. - updated segmentation code. - new labeled ex vivo dataset. - new preprint. Please see the project website for links and resources: github-pages.ucl.ac.uk/NextBrain

Our recommendations for assessing SC-based predictions of an individual's FC Individual predictions can be clouded by group-average effects Ye Ella Tian Thomas Yeo T Sarwar & Y Liu Out in Network Neuroscience: direct.mit.edu/netn/article/d…

started running

Science is about uncovering how causes create effects. Covariate selection may seem like a small step in model building—but it can spark big chaos if mishandled. Glad to share the lesson we learned: don’t let your model wag the science; let science lead the way in model building.

🗣️Language is widely distributed throughout the brain🧠 In a recent correspondence in Nature Rev Neurosci, we suggest that there is no 'language network' in the brain. What appears as such is an inevitable illusion created in part by the methods we use. nature.com/articles/s4158…

First tweet on an exciting new manuscript online Nature Neuroscience - in collab with Lucina Uddin and Catie Chang. We take a fresh look at the physiological dynamics associated with the global signal 🧠... #neuroscience #neuroimaging #fMRI Read here: rdcu.be/ek01F

📰Our new research on how and when the infant human brain becomes synergistic is out now in Communications Biology! In this work, we used information theory to analyse dense EEG from preterm infants recorded during 33-45 weeks. nature.com/articles/s4200… Key findings are in the thread⬇️