Canonical Correlation Analysis and Multi-Channel Cardiography Improve Artefact Cleaning in Heartbeat-Locked Analyses https://www.biorxiv.org/content/10.64898/2026.07.14.738519v1
Nikolai Kapralov
@willenjoy.bsky.social
Python Engineer @ Pupil Labs | PhD @mpicbs.bsky.social | M/EEG simulations meegsim.readthedocs.io
1. We—@eduede.bsky.social, @mjcrockett.bsky.social, Kevin Gross, and I—have a new preprint on the arXiv today, based on ideas that emerged during an @sfiscience.bsky.social workshop in November 2024: The unintended consequences of large language models as a labor-augmenting technology in science.
The unintended consequences of large language models as a labor-augmenting technology in science
As a labor-augmenting technology, large language models (LLMs) have the potential to accelerate scientific activity across the research pipeline. But even if LLMs perform on par with human experts at ...
arxiv.org
If you want to explore the data yourself, you can filter and recreate figures in the interactive shiny app! paulsteinfath.shinyapps.io/her-systemat...
paulsteinfath.shinyapps.io
Our review about methods used in Heartbeat Evoked Responses research is out at Psychophysiology ✨! We hope it will be a helpful resource for the community: onlinelibrary.wiley.com/doi/10.1111/...
<em>Psychophysiology</em> | SPR Journal | Wiley Online Library
Heartbeat-evoked responses (HER) are a widely used marker for interoception. However, our systematic review revealed considerable methodological variability and a lack of reporting standards, likely ...
onlinelibrary.wiley.com
Could the diversity of findings in heartbeat-evoked response (HER) research be due to variability in methods? In our new preprint my co-first authors, Maria Azanova and @willenjoy.bsky.social, and me systematically reviewed 132 M/EEG HER studies and found:
How dynamics arise from the structure is my biggest interest. In this study, we started with a small step and asked how structure constrains dynamics. Spoiler: would that it were so simple… (1/6)
Inter- and intra-individual variability in structure-function coupling in human brain https://www.biorxiv.org/content/10.64898/2026.02.25.707886v1
underappreciated concept 🙂 for more dipoles: neighboring dipoles have different orientations & can have different stimulus preferences. so even though topographies look similar, subtle differences remain. maybe that's why it is possible to decode information from relatively few sensors?
The angle of the dipole obviously matters. If active dipoles in two conditions are slightly misaligned, a difference can be observed. However, this difference is not driven by differences in amplitudes, but only by differences in orientations. Here, I simulated such a scenario. #brainmovies
The angle of the dipole obviously matters. If active dipoles in two conditions are slightly misaligned, a difference can be observed. However, this difference is not driven by differences in amplitudes, but only by differences in orientations. Here, I simulated such a scenario. #brainmovies
The extended version of my thesis procrastination project/subcortex visualization package is out now in both Python and R, now that I’ve graduated 🤠 This figure shows the 9 atlases included (and counting)! Preprint: www.biorxiv.org/content/10.6... Website: anniegbryant.github.io/subcortex_vi...
main goal for this year: find a new job! 🙂 looking for a role with fun & complex technical challenges & within a great community. my main expertise is in signal processing/EEG/MEG, but topic-wise I am quite flexible. science/industry both great! starting mid-year. nschawor.github.io/cv
Some ripples result from filtering 1/f noise (because when you filter noise you always get oscillations). Somewhat expected, but nice to have it spelled out and thoroughly investigated.👍
Ripple oscillations are central for memory and sleep. But ripple detection in humans remains challenging. Here we introduce a simulation approach in @natcomms.nature.com as common ripple detectors mainly pick up 1/f noise and not genuine oscillations 👇 www.nature.com/articles/s41... #neuroskyence
The EEGManyPipelines Dataset: Metascientific Data on 168 Independent Analyses of a Single EEG Dataset: https://osf.io/c4xwg
Our new preprint on promises and caveats of the extraction of M/EEG activity from ROIs is out (see more details in the reposted thread): www.biorxiv.org/content/10.6... Huge thanks to @studenova.bsky.social, Ruben Eguinoa, Guido Nolte, @sparsity.bsky.social, Arno Villringer, and Vadim Nikulin!
Non-uniform effects of remaining field spread on the estimation of M/EEG activity and connectivity between regions of interest
In M/EEG analyses, it is often convenient to extract time series of activity originating from the regions of interest (ROIs). However, due to the spread of electric and magnetic fields, M/EEG recordin...
biorxiv.org
I use EEG/MEG. When I meet like-minded researchers at conferences, the discussion always circles back to one thing: admitting that results may be confounded by leakage (also known as remaining field spread—RFS). In our new preprint, we quantify RFS in parcellated data using cross-talk function—CTF.🧵
*13th MindBrainBody Symposium* 📆 Mar 9-11, 2026 🏠 #Berlin & virtual (deadline: Jan 8, 2026) Keynotes: - @ulrikebingel.bsky.social - Karl Friston (online) - @tinalonsdorf.bsky.social - Sonja Kotz - Julian Thayer ...& so much more: prizes, posters, talks, food, drinks, encounters. Let's meet!
Please share! - 🚨⚠️ PhD position alert ⚠️🚨 - Please share! Come work with @ldeserno.bsky.social and yours truly on an exciting DFG-funded project on the neurocognitive mechanisms of (noise in) learning and decision-making in development and ADHD!
I am delighted to share our NeurIPS paper "Correcting misinterpretations of additive models" [1, 2] to be presented by Benny Clark in San Diego. [1] openreview.net/pdf?id=2ClM0... [2] recorder-v3.slideslive.com?share=107448...
openreview.net
Noise as a Signal – Moritz Gerster, Vadim Nikulin & Arno Villringer analysed data from 119 patients & discovered a new electrical signature of #Parkinson’s Disease, now published in @ebiomedicine.bsky.social: www.cbs.mpg.de/2412209/2025... #parkinsontherapy #clinicalstudy
Noise as a Signal – A New Electrical Signature of Parkinson’s Disease
Noise as a Signal – A New Electrical Signature of Parkinson’s Disease
cbs.mpg.de
Now out in @ebiomedicine.bsky.social! 📖 Read the open-access article: authors.elsevier.com/sd/article/S... #Neuroscience #Neurology #Parkinsonsdisease #Parkinsons #DeepBrainStimulation #DBS #Neurotechnology #Neuromodulation #Neurophysiology #BasalGanglia #OpenScience #Reproducibility
ScienceDirect.com | Science, health and medical journals, full text articles and books.
authors.elsevier.com
How does subthalamic activity relate to Parkinson’s disease symptoms? In a truly collaborative effort across #DBS centers, we aggregated a diverse dataset of invasive recordings from 119 patients. Full article: doi.org/10.1101/2025... Main findings 🧵⬇️
learn about advanced electrophysiology-related toolboxes (>20 to choose from) at this online event, in lectures or hands-on tutorials: 📅 Wednesday, October 30th at 2 pm (CET) cuttingeeg.org/practicalmee... very cool concept! 🙂 free but registration required. #PracticalMEEG2025
Bouquet | PracticalMEEG2025
cuttingeeg.org
How well do classifiers trained on visual activity actually transfer to non-visual reactivation? #Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
IMAGINE-decoding-challenge
Predict which words participants were hearing, based upon brain activity recordings of visually seeing these items?
kaggle.com
S-CCS Lab PhD Position 3+2 year 100% TVL-13 position in '26 - open topic on the intersection of combined EEG-EyeTracking, Statistical Methods, Cognitive Modelling, VR/Mobile EEG, Vision ... Apply via Max-Planck IMPRS-IS program until 2025-11-16 imprs.is.mpg.de Read: www.s-ccs.de/philosophy
I always learned a great deal from simulating data (aka mostly how things don't really work the way they are advertised 🙃). so I can definitely recommend playing with this toolbox for simulating EEG/MEG sources with desired properties (location, coupling) for connectivity. ⬇️
We (I and @willenjoy.bsky.social) created a toolbox for simulations of EEG/MEG because we needed to simulate data. Our initial aim was to simulate connectivity. For this short clip, I simulated two sources with phase connectivity using our toolbox. #brainmovie meegsim.readthedocs.io/en/stable/in...
Nick (@willenjoy.bsky.social) is obsessed with signal-to-noise ratio (SNR). And for good reason! It could explain many results. Our simulation toolbox meegsim enables setting up SNR of individual sources as well as SNR of all signal sources with respect to all noise sources. meegsim.readthedocs.io
As part of the Toolbox Bouquet, @studenova.bsky.social and I will host a workshop on simulations of M/EEG activity and connectivity with the MEEGsim toolbox! You’re very welcome to join us on Oct 30th between 2 and 5pm 😉 More details will follow soon 🔜
#PracticalMEEG2025 is coming up soon |Oct 28–30| and we’re full! But good news: lectures will be accessible online for FREE! Join the Toolbox Bouquet on Oct. 30th to explore the latest cutting-edge toolboxes in M/EEG analysis. 💐Free but mandatory registration 👇 docs.google.com/forms/d/e/1F...
We (I and @willenjoy.bsky.social) created a toolbox for simulations of EEG/MEG because we needed to simulate data. Our initial aim was to simulate connectivity. For this short clip, I simulated two sources with phase connectivity using our toolbox. #brainmovie meegsim.readthedocs.io/en/stable/in...
i wrote about atproto and why it matters
Open Social — overreacted
The protocol is the API.
overreacted.io
Simulations are fun! Especially with the right tools😉. @willenjoy.bsky.social and I (with support from Mina Jamshidi) made a toolbox for simulating EEG/MEG data meegsim.readthedocs.io I put together a quick simulation using it for this short clip. Took me 10 minutes (no, really!) #brainmovies