Saskia Helbling
Neuroscientist interested in (laminar) MEG, quantitative MRI, OPMs, speech rhythms, dance and open science
- Reposted by Saskia HelblingEver 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...
- New paper in Imaging Neuroscience by Britta U. Westner, Tim M. Tierney, et al: Cycling on the Freeway: The perilous state of open-source neuroscience software doi.org/10.1162/imag...
- Reposted by Saskia HelblingIn @elife.bsky.social: Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding during natural listening doi.org/10.7554/eLif...
- Reposted by Saskia Helbling🚨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
- Reposted by Saskia Helbling🧠📊 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!
- New paper in Imaging Neuroscience by George C. O’Neill, Gareth R. Barnes, et al: Combining video telemetry and wearable MEG for naturalistic imaging doi.org/10.1162/imag...
- 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.
- New paper in Imaging Neuroscience by Fakhereh Movahedian Attar, Nikolaus Weiskopf, et al: Short association fibres form topographic sheets in the human V1–V2 processing stream doi.org/10.1162/imag...
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- 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!
- New paper in Imaging Neuroscience by Saskia Helbling: Inferring laminar origins of MEG signals with optically pumped magnetometers (OPMs): A simulation study direct.mit.edu/imag/article...
- Reposted by Saskia Helbling[Not loaded yet]
- Reposted by Saskia Helbling[Not loaded yet]
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- 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!
