Anne Billot, PhD

@annebillot.bsky.social

Clinical neuroscientist, Postdoctoral Research Fellow at Harvard University and MGH, Neurology department. Translational science investigating neuroplasticity and neuromodulation mechanisms to improve post-stroke aphasia and depression treatments.

Very excited to see this out! In a new study led by Jingnan Du, we were able to map and functionally dissociate a lower-level phonology-related network from the canonical higher-order association language network within individuals using precision network mapping. See thread below for more details!

Jingnan Du@jingnandu.bsky.social · 3mo ago

📣 New preprint: Multiple Nested Distributed Language Networks in the Human Brain. 📣 Brain regions specialized for language have been extensively described. But are they organized into one network, or multiple? Our new preprint provides evidence for the latter:
 www.biorxiv.org/content/10.6...

⬇️ Check out this great paper by Jingnan Du et al. It shows you can use fMRI task data to estimate networks as reliably as with rest data! A game changer to increase statistical power in regions with low SNR and leverage datasets that may only have task data.

Jingnan Du@jingnandu.bsky.social · last yr.

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...

At #CNS2025 and interested in whether and how we can dissociate higher-order cognitive functions within DLPFC at the individual level with precision fMRI? 🧐 Let’s chat at my poster B42 tomorrow from 8 to 10 am! 🧠 This work is also relevant for anyone doing TMS targeting the DLPFC in patients! 🧲⚡️

First post here 🚀 after the first day of #SNL2023 in Marseille! A dynamic blend of honoring the past’s breakthroughs that led us to better understand the neural basis of language processing + forging a visionary path forward inspired by different methods (e.g, LLM) + 🥐. Excited for what's next!

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