🧠⚡ We present a biophysically grounded framework coupling realistic neuron morphologies to TMS. Our model links direct axonal activation from L2/3 to L5 corticospinal neurons, revealing direction- & dose-dependent spatiotemporal patterns. www.biorxiv.org/content/10.1...

In case you need a proxy for head circumference for your #NIBS meshes: pynibs.head_circumference() should do the trick. #TMS #SimNIBS gitlab.gwdg.de/tms-localiza...

"...pleased to inform you that your article, "Consensus guidelines for the use of concurrent TMS-fMRI in cognitive and clinical neuroscience", has now been accepted and sent to our Production department and should soon be published in Nature Protocols."⚡🎈🤘 OG preprint here: osf.io/preprints/ps...

Our #preprint on heart-brain coupling by TMS came just a little too late for the #BrainStimConf, it would've fit very well: #TMS, great stats ( #lme4 and #gam), repeatability checks, multiple targets - all the good stuff!

Found a text-book-like stats example in (real) dataset of mine: group level: 🔺 correlation individual level: 🔻 correlations #stats #R #ggplot #TMS

Welcome #crew ♥️

Great preprint from @philkuhnke.bsky.social et al., glad we could integrate the E-field based #TMS dosing approach here 🙏 Also a another nice example how important it is to look at individual stimulation strength - well done!