Natalie Schaworonkow
@nschawor.bsky.social
1.1K followers 420 following 90 posts
investigating electric waves in the brain, thinking about visualization, interfaces, art & beauty with computers. nschawor.github.io Frankfurt am Main, Germany
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nschawor.bsky.social
a seemingly general electrophysiological phenomenon: once you have to process stimuli, low-frequency rhythms disappear, spectrum becomes flatter & sometimes an increase in broadband gamma activity.
we also found this for visual memory encoding in #iEEG data: doi.org/10.1523/JNEUROSCI.2404-24.2025
nschawor.bsky.social
congrats!! &
same city again! 🎉
nschawor.bsky.social
here it also runs on like Matlab2010 😂

but I updated the script a bit, so now it works with our 12k sampling rate, at least that. 🙂
nschawor.bsky.social
otherwise I have been mostly watching the color of 3 shapes (iykyk 😬). but lots of cool oscillatory bursts, now we need to look at the data during the annual MEG service.

& already missing the balcony summer!
nschawor.bsky.social
so I think the results are much in line with work in adults and not contrasting with it.

here is my own figure showing this infant oscillation frequency in 'resting-state' data (with age in days 🙃). it's great to see more functional type data, but I think we have to agree more on terminology.
EEG from infants, where the alpha rhythm is curiously emerging at 3-4 Hz. from here: https://pubmed.ncbi.nlm.nih.gov/33316695/
nschawor.bsky.social
I love baby EEG, so had to check this! here, a dichotomy is drawn between theta & alpha rhythms, but this is tricky. the posterior dominant rhythm emerges in the infant at 3-4 Hz & increases until ~10 Hz in adults. I think there is much evidence that this 'theta' rhythm is the equiv of adult alpha.
olejensen.bsky.social
In an EEG study spearheaded by Marlena Baldauf, we show that 8-month-old babies’ visual systems resonate at 4Hz (theta rhythm) — unlike adults, who resonate around 10Hz (alpha).

👶🧠 echoes at 4Hz
👩‍🦰🧠 echoes at ~10Hz

Preprint:
www.biorxiv.org/content/10.1...
Infant Brains Tick at 4Hz - Resonance Properties of the Developing Visual System
Neural rhythms of the infant brain are not well understood. Testing the rhythmic properties of the adult visual system with periodic or broadband visual stimulation elicited neural resonance phenomena...
www.biorxiv.org
nschawor.bsky.social
back from summer break, back to printing little brains

(& some real work too 🙂)
nschawor.bsky.social
Äquiaktivlinie 😀
very nice!!
nschawor.bsky.social
🙂🕵️‍♀️ detective work!
nschawor.bsky.social
aww, thank you so much for looking!! shame it wasn't there, I think I scrolled through most of the other citations given for that plot, but no luck. 😕 on the hunt, I already found this thesis, it reads super nicely, liked it a lot!
(work from Motokawa is rad, want to do more animations of it. 🙂)
nschawor.bsky.social
I'm giving a talk there in a workshop with a really great topic:
"Same words, different worlds: Conceptual consistency in systems neuroscience" 🙂

& many other fab looking workshops! (some by my cool friends: @matteosaponati.bsky.social @rdgao.bsky.social @j-b-eppler.bsky.social 🌟)
bernsteinneuro.bsky.social
⌛ One week left to submit your poster abstracts and travel grant applications for the #BernsteinConference 2025!

🗓️ Deadline: July 15

All info and submission 👉 bernstein-network.de/bernstein-co...
nschawor.bsky.social
very behind in announcing things (not sure if people read papers anymore 🙃), but this came out earlier this year from my time @ UCSD
a project that started with the sentence "Brad, I found this cool dataset, can the new rotation student look at it?" 😅 all hard work by soon graduating MJ Preston.
nschawor.bsky.social
a seemingly general electrophysiological phenomenon: once you have to process stimuli, low-frequency rhythms disappear, spectrum becomes flatter & sometimes an increase in broadband gamma activity.
we also found this for visual memory encoding in #iEEG data: doi.org/10.1523/JNEUROSCI.2404-24.2025
nschawor.bsky.social
read the news about 17yr old Hannah Cairo who found a counterexample to a conjecture from harmonic analysis. love the playful presentation slide style. 🙂💕💚

#VisualizationInspo
presentation slide with colorful illustrations from here: https://www.youtube.com/watch?v=3ZeH_8sTyKA&t=354s
nschawor.bsky.social
yes have been there, especially for large prints (see image). but now I have dental instruments, which are excellent for doing this, highly recommend (sulci are deep 🙃) and it's much better with the 'tentacle' support structure option (Bambu printer), so will try the en bloc way again. 🙂
nschawor.bsky.social
the brain was split into the two hemispheres and laid flat onto the medial surface, so there are some ugly parts in the middle.

my favorite technical staff made the connection knobs, but this takes a bit of time, so the next brain will be printed en block, let's see how this goes. 🙂
nschawor.bsky.social
making little mini brains for internal participants (who I can not pay with money) for our current experiment, using the individual structural MRIs.

#ForbiddenBubbleGum 🙃
3D printed brain
nschawor.bsky.social
your favorite color map 🙂
nschawor.bsky.social
colored it for fun. 🙃

several citations were given, but seemed wrong, I think this is the right one, couldn't find the article online, if somebody can:
Motokawa K. 1944, Japanese Journal of Medical Sciences: Biophysics. III, Volume 10(1).
nschawor.bsky.social
this figure from 1944 is cited as the first topoplot, from Koiti Motokawa. in an era where only handful of EEG channels across space were used, he measured the mean alpha amplitude for 90 points across the scalp. ❗

(compiling a presentation about the evolution of topoplots, cool stuff out there 🙂)
Black-and-white scientific illustration of the first EEG topoplot by Koiti Motokawa (1944). 
G = glabella
P = protuberantia occipitalis externa, 
S = central sulcus
nschawor.bsky.social
I asked the support about it, let's see :)
nschawor.bsky.social
but does openalex have all data? I searched for my name and found nothing? 🤔
nschawor.bsky.social
1) see my figure above, finer granularity is also possible by querying pubmed
2) I would guess that this is not publicly obtainable :-)

I would like to see something like how 'connected' the authors of 1 article are within the community, but I am not sure how to assess that
nschawor.bsky.social
so the easiest metric to start with is published papers per time unit in NeuroImage, definitely in decline, here from PubMed:
nschawor.bsky.social
also true! please someone with talent do it 🙂
nschawor.bsky.social
topoplots or vintage rugs? 🙃🌈
four topoplots showing alpha rhythm distribution, from https://link.springer.com/chapter/10.1007/978-3-662-63267-3_4