Maximilian Lueckel

Introducing FASTANS - Fast Targeted Functional Network Stimulation

🐍 Python implementation of the TANS approach (Lynch et al.).
🎯 Optimizes TMS coil placements for precise, personalized network targeting within minutes! 🚀

Code, instructions, and example data: github.com/mlueckel/FAS...

Our new paper is out now in Neuron! 🎉 With @vaibhavtripathi.bsky.social @maxwellelliott.bsky.social Joanna Ladopoulou, Wendy Sun, Mark Eldaief, and Randy Buckner

Paper link: www.sciencedirect.com/science/arti...

Introducing FASTANS - Fast Targeted Functional Network Stimulation

🐍 Python implementation of the TANS approach (Lynch et al.).
🎯 Optimizes TMS coil placements for precise, personalized network targeting within minutes! 🚀

Code, instructions, and example data: github.com/mlueckel/FAS...

Optional: one score to guide choices – weight metrics into a composite map that ranks candidate placements.

Plan early: explore targeting feasibility & hardware requirements (e.g., focal depth) on MNI templates or open-access datasets even before you collect individual MRIs.

Integrates nicely with other software: export selected placements to BabelBrain, k-Wave, or k-Plan for simulation and to Localite or BrainSight for neuronavigation.

Click to choose a spot, preview the transducer placement and a simplified acoustic focus, then export the placement for validation.

What it shows for every scalp point: distance to target, straight-path intersection with target, required transducer tilt, skin-skull angle, skull thickness – so you can quickly spot promising transducer placements. Some examples:

🎯 Meet 𝐏𝐥𝐚𝐧𝐓𝐔𝐒: a fast, open-source tool to pick where to place a transducer for transcranial ultrasonic stimulation (TUS) on an individual head – before you run heavy simulations.

Paper: doi.org/10.1016/j.br...

Code & instructions: plan-tus.org

🚨We believe this is a major step forward in how we study hippocampus function in healthy humans.

Using novel behavioral tasks, fMRI, RL & RNN modeling, and transcranial ultrasound stimulation (TUS), we demonstrate the causal role of hippocampus in relational structure learning.

🚨 New preprint out! 🚨
“Translating the Transcriptome: A Connectomics Approach for Gene-Network Mapping and Clinical Application”
🔗 doi.org/10.1101/2025... 

🧵 A short thread:

Very happy to share my first preprint from @oxexppsy.bsky.social @oxneuro.bsky.social ! We (me + co-first authors @lilweb.bsky.social @mirunarascu.bsky.social + PI @mkflugge.bsky.social + many others) used transcranial focused ultrasound stimulation (TUS/tFUS/LIFU) of the human amygdala ... (1/15)

Personalized Adaptive Cortical Electro-stimulation (PACE) in Treatment-Resistant Depression

Punchline: PERSONALIZED network neuroscience works.

*Easily* the most important paper I’ve been part of.

Read the manuscript for details. Watch the movies for *amazing* testimonial.

1/2

🤯🤯🤯

🚨 New Preprint 🚨

Targeting intracranial electrical stimulation (ES) to network regions defined within individuals causes network-level effects

By Cyr et al.

***
Q: Can we use individualized network maps from precision fMRI to modulate a targeted network via intracranial ES?

A: Yes!

🧵:

www.tmsfmriworkshop.org

What is the best way to advance a challenging-yet-inferentially-powerful combination of neurostimulation and neuroimaging? Come to Cancun to find out! Join us for the 3rd International Concurrent TMS-fMRI Workshop September 15-17 *literally* by the beach: www.tmsfmriworkshop.org

www.tmsfmriworkshop.org

Are you a TMS/fMRI researcher? Join us this September in Cancun! www.tmsfmriworkshop.org

Proximity to an SGC-DLPFC Individualized Functional Target and outcomes in large rTMS clinical trials for Treatment-Resistant Depression Background Targeting methods for repetitive transcranial magnetic stimulation (rTMS) in patients with depression now include the use of individual functional scans to target specific functional connec...

functional connectivity proximity not associated with clinical response in N>500 MDD patients: www.biorxiv.org/content/10.1...

🚨 New paper alert from Weise et al.!

"A leadfield-free optimization framework for transcranially applied electric currents"

🔋 Optimize TES, TIS, ECT & TTFields without fixed leadfields
🧠 Electrode placement adapts to individual anatomy
💻 Now available in SimNIBS!

doi.org/10.1016/j.co...

Consensus guidelines for the use of concurrent TMS-fMRI in cognitive and clinical neuroscience - Nature Protocols We present best practice guidelines for the use of concurrent TMS-fMRI, experimental design, technical requirements and data interpretation, illustrated via 12 use cases.

If you're interested in the concurrent use of transcranial magnetic stimulation (TMS) and functional magnetic resonance imaging (fMRI), check out our consensus guidelines, now officially out in @natprot.nature.com

#TMS #fMRI

www.nature.com/articles/s41...

🎨🧑‍🎨 Looking for a tool to visualize subcortical/thalamic data in 2D? Check out this python-based package I put together (subcortex-visualization on PyPI), plus a guide for creating your own custom atlas meshes and vector graphics! All feedback/tips welcome 😊

anniegbryant.github.io/subcortex_vi...

"...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...

Congratulations - this is fantastic news! Hope to get in touch and collaborate on personalized precision neuromodulation using TMS and focused ultrasound 🤩

Pyramid showing relative influence of non-neural (sampling variability, physiology, head motion) and neural (arousal, task state, spontaneous cognition) effects on functional connectivity

fMRI network measures are affected by sampling error 🎲, physiological artifacts 💗, arousal 👀, and task state 🎞️. We argue that a major challenge in studies of 🧠 network dynamics is distinguishing between these sources of variability.
A 🧵 …

Happy to announce that our paper is now published in Science Advances!

science.org/doi/10.1126/...

Using precision approaches to improve brain-behavior prediction Predicting individual behavioral traits from brain idiosyncrasies has broad practical implications, yet predictions vary widely. This constraint may be driven by a combination of signal and noise in b...

📅 New lab review article in Trends in Cognitive Sciences, led by @hyejinjadelee.bsky.social with allydworetsky.bsky.social, & @laboranathan.bsky.social
Check it out here: go.illinois.edu/ticsReview
#neuroskyence #PsychSciSky #Neuroimaging #neuroscience
🧵below...