Emilie Macé

Emilie Macé

@mace-lab.bsky.social

Neuroscience & functional ultrasound imaging. Vision and brain states. Professor at University Medical Center Göttingen. https://brainwidenetworks.uni-goettingen.de/ Co-Spokesperson, EKFZ Center for Optogenetic Therapies. https://ekfz.uni-goettingen.de/en/

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1/8. New preprint! ✨ How spontaneous is spontaneous behavior? 🧠🐭 We found that whole-brain fUSi signals predicted spontaneous behavioral transitions seconds in advance. Inhibiting one node of this transition-prone state, the medial septum, facilitated switching! www.biorxiv.org/content/10.6...

Exciting times for functional ultrasound! The field is growing fast—and we need to train the next generation. We’re launching the first Paris Ultrasound Workshop, on Dec 8–9 2026. 🎓 Leading experts 🧰 Open-source tools 👩‍🔬 For new & experienced users Register by Nov 15! Link: tinyurl.com/ParisfUSI

Excited to see our lab present at #FENS2026 this week! 🧠 Come by our posters to see how we use fUSi to study neuromodulation, arousal, vision restoration, and learning. Looking forward to many great discussions!

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7/8. In short: ~10 s before a spontaneous behavioral switch: ↑ decodability ↓ medial septum activity (and other regions) Our interpretation: internal drive gradually builds up, creating a transition-prone brain state that makes switching more likely.

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5/8. So what drives this predictability before behavioral transitions? We identified a set of regions whose hemodynamic signal decreased seconds before egress and running, with one potential key player: the medial septum (MS).

6/8. To test causality, we used optogenetics 💡 to inhibit the medial septum, mimicking the decrease seen with fUS seconds before behavior initiation. The result: MS inhibition made transitions to egress, running, and grooming more likely.

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3/8 To test this, we used whole-brain fUSi in head-fixed mice across two contexts: a virtual burrow and a running wheel. In both, mice spent most of their time in quiet wakefulness, but spontaneously initiated egress (exiting the burrow), grooming, or running. 🐭

4/8. As expected, whole-brain fUSi revealed distinct activity patterns associated with spontaneous egress, grooming, and running. But what happens before behavior initiation? We found that whole-brain signals predicted both egress and running several seconds before onset! ⏳

2/8. Paulina Wanken 🤩, the outstanding student who led this project, asked a simple question: when animals change behavior without external cues, are those transitions random, or does the brain enter a specific internal state first? 🤔

Emilie Macé reposted

1/8 New preprint alert! How are signals from the heart encoded in the brain? What could be the functional implications of cardioception? We found that neurons in the posterior insular cortex are precisely tuned to heartbeats, and that this cardio-insular coupling supports emotion coding in mice.

biorxiv.orgbiorxiv.org
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8/8. Last but not least: Jose Maria is looking for a postdoc in computational neuroscience 🧠💻 Don’t miss the chance to recruit him — he comes highly recommended! 🚀

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5/8. This wave propagated from subcortex → cortex. We recovered it from low-dimensional components of resting-state signals. These components predicted both spontaneous and evoked responses in a test set! The arousal wave is a latent state that explains a large fraction of brain-wide signals ⚡

6/8. We then tested an obvious suspect: noradrenaline. Twist: bidirectional optogenetic manipulations of the locus coeruleus shifted baseline fUSi signals, but the arousal wave remained intact. This suggests that other neuromodulators, such as acetylcholine, may play a bigger role. 🤔

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3/8. 🧠👀 Arousal shapes physiology, behavior, perception, and task performance. It also drives brain-wide activity, often more strongly than sensory or task variables. But what is the spatiotemporal structure of this effect? And is it shared between spontaneous and sensory-driven arousal?

4/8. We used functional ultrasound imaging (fUSi) + pupillometry in awake mice 🐭 to track whole-brain signals around spontaneous pupil dilations and after arousing stimuli (air puffs). Result: a robust spatiotemporal "arousal wave" 🧠🌊

2/8. This is the first output of our lab’s effort to understand spontaneous behavior and neuromodulation at the brain-wide level. This was a fantastic project to see come together, led by Jose Maria Martinez de Paz, with a key contribution from @johannalmayer.bsky.social. Now to the results👇

Emilie Macé reposted

1/7 🧠 My journey into development begins with this work and question: how does the brain's spatial navigation system develop? We found that the neural networks for spatial navigation (tori and rings) are preconfigured and only later anchor gradually to the world with experience! 🧵

Edvard I Moser@edvardmoser.bsky.social

Is spatial navigation innate 🧠? Using #NeuroPixels we show that the #torus 🍩 underlying the #GridCell map exists already on day 10 in rats — before pups open eyes and ears and before they start upright walking. 🧵1:4 👇 www.biorxiv.org/content/10.6...

Emilie Macé reposted

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico? In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony. It turns out these compact models are surprisingly small! rdcu.be/e5H8G

rdcu.beCompact deep neural network models of the visual cortexNature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

Emilie Macé reposted

Emilie Macé reposted

Emilie Macé reposted

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In summary, visual objects refine population-level head-direction coding in postsubiculum, potentially helping the brain’s internal compass anchor to external cues. Whether this extends to other types of spatially tuned neurons remains an exciting open question! 8/ Illustration: Dorothea Laurence

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We then asked: How are visual signals integrated with spatial ones? We teamed up with @apeyrache.bsky.social. Mice were recorded in PoSub while exploring an arena with a landmark, then head-fixed for visual stimulation. Both head-direction cells and fast-spiking interneurons preferred objects! 5/

At the population level, head-direction cells form a ring attractor. Cells aligned with an object’s direction were boosted, while others were inhibited—showing that objects refine the brain’s internal compass.⚡🧭 A model confirmed the effect when adding an untuned input to the attractor network. 6/

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This project began with a paradox: Mice can see objects, yet no dedicated object areas like those in primates had been found. Inspired by early human fMRI studies, we used an unbiased functional ultrasound (fUS) screen to look beyond the visual cortex. 3/

To our surprise, spatial navigation areas—not visual cortex—responded strongest to objects! We replicated this in awake and anesthetized mice and confirmed it with electrophysiology. Postsubiculum (PoSub), a hub of the head-direction system, was the top hit! 🎯 4/

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