After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...

A hitchhiker’s guide to information theoretical measures in psychology by @nielsvs.bsky.social with me and Yves Rosseel authors.elsevier.com/c/1mOwr53na-... osf.io/preprints/ps...

And like, all these posts about how the “story makes so much sense” and “resonates with what patients say”. I’m an ADHD person who takes stims and a neuroscientist and I find all of this totally incredulous.

"drug for disorder which isn't a disorder doesn't act on a brain network (which isn't a network) called as the thing in the name of said not-disorder, according to increased signal detected by a method in which increased signal possibly doesn't indicate increased activation"

...defining voxels by their response (-ve) implies reduced activity but doesn't prove it, and I'd prefer a principled neuroanatomical basis, or EEG, etc., which leaves me assuming a lot of vascular physio artifacts are going to be interpreted. A case for subject-specific HRF, not canonical, perhaps!

Out now in PLOS CB: a wonderful study by @nishantjoshi.bsky.social, together with Tansu Celikel and Sven van der Burg: journals.plos.org/ploscompbiol... Nishant shows here how classifying neurons based on electrophysiological properties depends critically on the input you give these neurons.

Thank you for the great work @willenjoy.bsky.social ! An important step towards understanding and correcting bias in source localizations and functional connectivity due to source leakage.

Can we stop our #EEG experiments after 5 trials? Thought provoking paper: www.arxiv.org/abs/2511.23162 tldr: n=5 trials gave better cvR² than n=100% on average Kudos to the authors who went far beyond many other EEG papers in terms of additional tests & baselines (openreview.net/forum?id=c6L...)

I wrote a blog post about the often stated but never explained assumption that communities in graphs should always be connected. This is inconsistent with statistical significance and null models that underlie the most widely employed methods. skewed.de/lab/posts/co...

👏

📢Generative Models in Neuroimaging Survey We’re running a short survey on how neuroimaging (aka #OHBM) community defines, uses & evaluates generative models, from biophysical simulations to ML-based approaches 👉 t.co/lRQj4qmknO @ohbmofficial.bsky.social @ohbmtrainees.bsky.social

And the next step? Full voxel-level modeling. Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are. arxiv.org/abs/2511.12825

Combo of two papers on partial information rate decomposition now out! journals.aps.org/prl/abstract... journals.aps.org/pre/abstract... Mini thread below 👇

ok, imagine you have an oscillation that is not symmetric around 0 (small direct current shift) with some amplitude modulation, for instance with 1/f-dynamics. ➡️ then these 1/f-dynamics will show up in low frequency part of spectrum (red); in addition to around oscillation peak (yellow).

I find this paper really confusing. There are several measures (power, coherence, network communication, information based statistical dependencies) which are all measures of the "behavior" of the system, and definitely share similarities. Yet some are considered "mechanisms" underlying the others.

arxiv.org/abs/2509.15278 check that your metadata are 'private' i.e. that they do not leak personal information -- BIDSapp available 😀

A birthday is a good time to reflect! To mark SPM @ 30, this month's issue of Cerebral Cortex features deeply insightful commentaries on neuroimaging analysis from Ed Bullmore, Peter Bandettini, Peter Fox, Pedro Valdes-Sosa, Klaas Enno Stephan, Viktor Jirsa, et al [1/2] academic.oup.com/cercor/issue

BeyondTheEdge at the School of Complexity on "Higher-order interactions: mechanisms, behaviors, and networks" by our own @lordgrilo.bsky.social and @gin-bianconi.bsky.social with @aliceschwarze.bsky.social, @danielemarinazzo.bsky.social. Great perspectives! www.beyondtheedge.network/articles/bey...

I'm specifically sharing this paper because I saw a post recently that said people who think about methodology are "attacking authors"

"Brief segments of neurophysiological activity enable individual differentiation", but also when the neurophysiological activity (MEG data) is identical for all the subjects, we have the same differentiation. Because of the head shape, of course. pubpeer.com/publications...

🚨New preprint from the Dugué Lab! Happy to share our last work on #attention_rhythms, co-led by @cogsenoussi.bsky.social & former Dugué Lab PhD student @lauriegalas.bsky.social, and in collab with Niko Busch 🎉 @upcite.bsky.social | @erc.europa.eu | #neuroskyence www.biorxiv.org/content/10.1...

Finally out on Nat Comms 🚀 We show that an intrinsic motivational learning signal (information gain) is encoded through synergistic and higher-order functional brain interactions and is broadcast to prefrontal reward circuits.

Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa Gene Expression Profile as Case Studies www.mdpi.com/1099-4300/27...

🧠 𝗦𝘁𝗼𝗽 𝘂𝘀𝗶𝗻𝗴 𝗿𝗮𝘄 𝗘𝗘𝗚 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 - 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝘆⁣ ⁣ New research with 1,024 brain electrodes proves EEG channels DON'T reflect local brain activity underneath the electrode.⁣ paper: ⁣https://www.biorxiv.org/content/10.1101/2025.06.24.660870v1 ⁣ #Neuroscience #EEG #BrainResearch

Preprint: Equations/generalizations for TC, DTC, RSI, O-information, and TSE-complexity for multivar real/cmplx data. How “connections” contribute to system inf measures. Helpful comments and reports on errors are appreciated. arXiv: 2025-07-11 doi.org/10.48550/arXiv.2507.08773

There are some corners of the network science literature which adamantly claim that connected components *must* belong to different communities. Yet, ER networks can easily be disconnected, and the same is true for individual groups in SBM networks. There, splitting the components overfits. 1/4

But are they behaviors? physics.aps.org/articles/v18...

"The analysis of the L.L.M. users showed fewer widespread connections between different parts of their brains" This is goddamn embarrassing, man. Instructive for understanding just how bad media is on this. Like there are anatomical changes being measured. www.newyorker.com/culture/infi...

Fantastic collaboration with @teo121270.bsky.social L.Giambagli R.Muolo "Global Topological Dirac Synchronization": Unveiling new dynamical states of higher-order networks with the Topological Dirac operator. iopscience.iop.org/article/10.1... @ioppublishing.bsky.social

happy that our article about mu & alpha rhythm waveform shape in development is now finally out in the open: doi.org/10.1162/jocn... oscillation frequency changes across development (one of the most robust findings in the oscillation world). in this work, we also look at waveform shape changes.

The beta release of SPM-Python is out now! Amazing work by Johan Medrano @johmedr.bsky.social , Yael Balbastre, Yulia Bezsudnova @ybezs.bsky.social and other members of their team. A new era for SPM! #OHBM2025

Sorry this is inaccurate, this is a collider, thus a synergistic case

Episode #29 in #TheoreticalNeurosciencePodcast: On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski theoreticalneuroscience.no/thn29 What are the pitfalls when simplifying? Panel debate at FENS meeting in Oslo. @fens.org

the level of misinformation sparked because of this bananas EEG preprint is just really tragic. By the way if you think that a researcher caused cognitive decline to happen to participants in a study you should probably be freaked out by that

Localizing synergies of hidden factors across complex systems: resting brain networks and HeLa gene expression profile as case studies arxiv.org/abs/2506.09053

Fusing multisensory signals across channels and time. Now published at PLOS Comp Biol! 🎉 With @swathianil.bsky.social and @marcusghosh.bsky.social. journals.plos.org/ploscompbiol... TLDR, when multisensory signals vary over time, neural architecture becomes important. Biggest not always best.

Quick check of the paper mentioned here under and it's rather "opaque". 🤔 Key point IMO is confusing Maxwell's equations time dependence and brain waves time scale. Anisotropy and inhomogeneity in tissue conductivity is important but it lives very well with the "quasi-static approximation".

Frank, Galinsky, Krigolson, Tapert, Bickel, Martinez: Imaging of brain electric field networks with spatially resolved EEG. eLife. 2025 Jun 5 doi.org/10.7554/eLif... They show: for visual stimulation, from 61 EEG electrodes, the electric field networks in the brain at 1mm resolution. REALLY !!??

New from The Strain Team: 🎊 Springer Nature Discovers MDPI 🎊 Springer Nature has spawned a copycat journal series called "Discover" mimicking #MDPI journal titles and citation behaviours. We even made a browser game to prove it (see 🔗). Gross! 😀 1/n #ResearchIntegrity #SciPub #AcademicSky

Connectome brain fingerprinting: terminology, measures, and target properties arxiv.org/abs/2506.05769

The lovely Netplace people and their wonderful energy and ideas created some great opportunities for connections and engagement. It was really nice to work with them!

Best official merchandise for @netsciconf.bsky.social!

People of #netsci2025! Come hear from experts of a field that has had so far little interaction with our community, but holds great potential for us physicists who think we can solve any other field 😂, at our focus session on network psychometrics on Friday! netsci2025.github.io/focus_sessio...

A great opportunity for fresh air and cross fertilization #netsci2025

Periodic reminder that you should not use modularity maximization to find communities in networks. It provides no statistical information, overfits, and signals carelessness. It doesn't matter if it's "popular". Would you jump off a cliff if everyone else did it too? skewed.de/lab/posts/mo...

Looking forward to giving my tutorial at @netsciconf.bsky.social tomorrow on "Inferring network models from multivariate time-series data: Philosophy, approaches and considerations". Slides and python notebook are posted at github.com/jlizier/neti... for those wanting to play along

Have you ever thought of looking at VERY slow brain activity, like 3 events per minute? 🐌 Likely not, but we did! 😅 In a new study on infra-slow EEG rhythms during social recognition, we uncover novel insights into the neural mechanisms of shared understanding and joint coordination. 🧵

In terms of hyped semiprofound bullshit Shannon's bandwagon rivals the dead salmon.

Not long now... @netsciconf.bsky.social

Hear hear! 👇 @ghentccn.bsky.social @frosas.bsky.social @massimost.bsky.social