Saskia Helbling

💫🎊 Yay, huge congrats! 🎊 💫

Ever used open-source (neuroscience MEG/EEG) software? Please take a moment to check out this report from within.

This paper is very close to my heart, because we are moving towards a crisis … 🧵

bsky.app/profile/imag...

In @elife.bsky.social: Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding during natural listening doi.org/10.7554/eLif...

🚨Job alert🚨
We’re recruiting for another PhD position at MaCSBio @macsbio.bsky.social, focused on computational neuroscience. Come work on brain, sound, and computational models, co-supervised by myself and Ryszard Auksztulewicz @auksz.bsky.social

🗓️ Apply by 18 May
🔗 tinyurl.com/bdhtwuzs

The CNeuroMod longitudinal brain and spine structural protocol

🧠📊 Just out: a deeply sample structural brain and spine dataset from the cneuromod.ca team, now published in Imaging Neuroscience! led by Mathieu Boudreau and Julien Cohen-Adad. 📰 Paper here: lnkd.in/ewXA3dED 1/🧵

A bit late to the party, but excited that we can finally dance with OPMs!

U-fibres! <3

More exciting work on short association fibres led by the fabulous Fakhereh Movahedian Attar, together with Evgeniya Kirilina, @denischaimow.bsky.social, @lukejoeledwards.bsky.social, @tstr137.bsky.social, @siawooshmr.bsky.social, @nikweiskopf.bsky.social et al.

Hi Bluesky! We are the research group Brain Networks from the Max Planck Institute for Human Cognitive and Brain Sciences. We focus on Noninvasive Brain Stimulation, Neuronal Circuits, EEG Source Reconstruction and Artificial Intelligence. Follow us for research updates and events! 🧠🔬🦾

🚀 New paper in iScience! We tested 50 participants to investigate phase-locked perceptual modulations after motor actions—and the results are surprising!

⚡ Different from previous studies, we found these modulations ONLY emerge during specific internal states:

And even without an increase in SNR, on-scalp OPMs allow for higher spatial frequencies to be recorded and are expected to be more focal, which should benefit laminar inference.

I suppose at their current state of development, the SNR advantage of putting the sensors closer to the scalp will more or less be cancelled out by the differences in noise floors. But exciting to see where further innovations will take us!

My hunch, based on my simulations and @danclab.bsky.social's work demonstrating laminar inference in cryogenic MEG, is that current systems are already in the right ball park for the paradigms you mention. Highly accurate co-registration between OPM sensors and the MRI will be crucial, though!

While we are not there yet, it is encouraging that first experimental studies demonstrate that OPM-MEG systems, even at much lower sensor counts, show comparable signal amplitudes and source reconstruction accuracy to cryogenic MEG.

Nevertheless, as a guideline, it’s useful to think that for a given signal, we expect an ~ 5-fold increase in SNR over cryogenic MEG just by virtue of moving the sensors closer to the scalp—if we had the same number of sensors for both systems and comparable sensor noise floors (Boto et al. 2016).

Thanks for your interest, @hritz.bsky.social! I agree with @danclab.bsky.social, the SNR will depend a lot on your signal of interest, its spatial location and as you mention, on whether we look at single-trial or averaged data. And different OPM systems will show different sensitivity.

Thanks for the inspiration and all your support!

Hopefully we'll move from theoretically to experimentally soon!
And thanks so much for our discussions and your generous feedback!

Very happy to see this out! In this work I demonstrate the potential of OPMs for laminar MEG and investigate the impact of factors such as sensor counts, number of measurement axes, co-registration errors, misestimated forward models…
Already looking forward to Imaging Neuroscience’s 2025 collage!

🚀 We are releasing today at #NeurIPS #PsychoScope, an open-source tool for LLM personality consistency assessment:
🔗 github.com/tosatot/Psyc...

🙏 Thanks to the fantastic humans who made this work possible: Mahmood_Hegazy, David_Lemay,
Mohammed_Abukalam, @introspection.bsky.social, Irina_Rish 🙏

Re-advertising a tool we created some time ago for rating, sorting and comparing audio samples in the browser. It can be used as a jspsych plugin for online behavioral experiments. Check the repository: github.com/pwdonh/audio_tokens 🧵

New paper in Imaging Neuroscience by Nadine Herzog, Annette Horstmann, et al:

Balancing excitation and inhibition: The role of neural network dynamics in working memory gating

doi.org/10.1162/imag...

I remember thinking 'This is cool!' when Siqi shared an earlier version of this work during my visit to the lab. Happy to see it out now!

🚨Join our team! We’re hiring a PhD student in Cognitive & Clinical Neuroscience 🧠 🎓 at @uni_wue & @UKW_Wuerzburg! Explore mechanisms of decision-making in healthy people & Parkinson’s using new deep brain stimulation methods. German & English required. Apply by 20 Dec! 🌟🎄
Details: shorturl.at/IcNa0

rdcu.be/d07ia here we should how hemispheric asymmetry in the human cortex is rooted in microstructure. 🙏 Bin Wan, @amnsbr.bsky.social @sbe.bsky.social @borismontreal.bsky.social and all others not yet in Bluesky 💜

CuttingEEGX - YouTube

That's a wrap on CuttingEEGX 🎬 ! We hope you enjoyed it as much as we did! Thank you for coming to our 10th birthday! You gave us the best gift: 336 attendees from 33 countries! To keep the party going, all the sessions are now available on our youtube channel -> www.youtube.com/playlist?lis...

Okay, I'm not a fan of artificial limitations, starter packs are done. I'd like to curate an endless list of MEG/OPM researchers to create a feed with the higher SNR. Please include 📟 pager emoji if you want to be added. Repost and follow the feed #psychscisky
🧪 🧠🟦 🤖🧠 🧠📟 🧠📈 bsky.app/profile/did:...