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Posts by Vanessa Teckentrup

Delighted to share our discoveries about one of the brain's neurotransmitter systems:
www.biorxiv.org/content/10.6...

Together with colleagues at the @alleninstitute.org, we have learned a lot about a tiny cluster of neurons in the brainstem locus coeruleus (LC) that releases norepinephrine (NE). 1

1 week ago 239 113 6 16

This is perfect 😄

1 week ago 2 0 0 0
Participants with major depressive disorder (MDD) show lower fiber fraction and higher hindered fraction in the cingulum bundle. We observed differences in the cingulum bundle with decreased fiber fraction (tmax=4.68, k=38, pFWE<.001), indicating reduced axonal integrity (left) and increased hindered fraction (tmax=4.74, k=32, pFWE<.001), suggesting edema (right) in participants with MDD vs. healthy control participants (HCP). These changes indicate increased white matter inflammation in participants with MDD. In voxels showing differences between HCP and MDD groups, the reliability of fiber fraction and hindered fraction was high (lower insets).

Participants with major depressive disorder (MDD) show lower fiber fraction and higher hindered fraction in the cingulum bundle. We observed differences in the cingulum bundle with decreased fiber fraction (tmax=4.68, k=38, pFWE<.001), indicating reduced axonal integrity (left) and increased hindered fraction (tmax=4.74, k=32, pFWE<.001), suggesting edema (right) in participants with MDD vs. healthy control participants (HCP). These changes indicate increased white matter inflammation in participants with MDD. In voxels showing differences between HCP and MDD groups, the reliability of fiber fraction and hindered fraction was high (lower insets).

Can your brain's white matter proxies of inflammation re-identify you like a fingerprint? Turns out: yes, and we used this to psychometrically evaluate diffusion basis spectrum imaging and to detect depression-related changes in the cingulate bundle.
#neuroskyence 🩺
www.medrxiv.org/content/10.6...

3 weeks ago 39 10 1 0
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🎉 Excited to share our publication in PNAS! 🎉
What happens when our stream of consciousness turns towards the body? Our fMRI study of 536 individuals finds that 'body-wandering' is associated with patterns of brain connectivity, physiology, affect, and mental health:
www.pnas.org/doi/full/10....

3 weeks ago 109 46 3 1

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.

4 weeks ago 87 39 2 5
  Graphical abstract showing three panels. Left panel, "Multiorgan Interoception Measures," depicts a translucent human body
   silhouette with anatomically rendered heart (red) and lungs (blue), accompanied by schematic icons for three
  psychophysical tasks: the Respiratory Resistance Sensitivity Task (RRST), Heart Rate Discrimination Task (HRDT), and an
  auditory control condition. N = 241 participants. Center panel, "Psychophysical Modelling and Individual Differences,"
  shows a fan of overlapping sigmoid psychometric curves in blue-to-red gradient representing individual variation in
  perceptual threshold (α) and precision (β), a hierarchical Bayesian model diagram, and icons for metacognitive bias and
  M-Ratio efficiency. Right panel, "Key Finding: No Cross-Modal Relationship," displays a scatterplot of cardiac versus
  respiratory sensitivity with a flat regression line (r ≈ 0, BF₀₁ > 6), a compact Bayes Factor heatmap with mostly blue
  null-supporting cells and one orange cell indicating that subjective confidence is shared across modalities (r = 0.51***).
   Takeaway: interoceptive ability is modality-specific.

Graphical abstract showing three panels. Left panel, "Multiorgan Interoception Measures," depicts a translucent human body silhouette with anatomically rendered heart (red) and lungs (blue), accompanied by schematic icons for three psychophysical tasks: the Respiratory Resistance Sensitivity Task (RRST), Heart Rate Discrimination Task (HRDT), and an auditory control condition. N = 241 participants. Center panel, "Psychophysical Modelling and Individual Differences," shows a fan of overlapping sigmoid psychometric curves in blue-to-red gradient representing individual variation in perceptual threshold (α) and precision (β), a hierarchical Bayesian model diagram, and icons for metacognitive bias and M-Ratio efficiency. Right panel, "Key Finding: No Cross-Modal Relationship," displays a scatterplot of cardiac versus respiratory sensitivity with a flat regression line (r ≈ 0, BF₀₁ > 6), a compact Bayes Factor heatmap with mostly blue null-supporting cells and one orange cell indicating that subjective confidence is shared across modalities (r = 0.51***). Takeaway: interoceptive ability is modality-specific.

Is there a single "interoceptive sense"? Our new study in
@commspsychol.nature.com says: probably not. In 241 participants, cardiac and respiratory interoception were completely uncorrelated — only subjective confidence was shared across domains. www.nature.com/articles/s44... #psychscisky 🧪

1 month ago 115 31 2 5

New @bodybrainbehaviour.bsky.social preprint, and this is a big one for the lab: @teresaberther.bsky.social did the deepest of dives into #gut-brain coupling with MEG and HD gastrography.

www.biorxiv.org/content/10.6...

A brief 🧵on our first trip into this corner of #brain-body #neuroskyence:

1 month ago 46 20 1 4
D4L Impact Program | Supporting Early-Career Digital Health Researchers The D4L Impact Program enables early-career researchers to generate real-world evidence from digital health data. The program provides access to the D4L Collect platform, cloud infrastructure, mentorship, and publication support to help researchers design and conduct high-quality studies using patient-reported outcomes, wearable and sensor data, and mobile health technologies.

If you're working on health topics and are into mobile sensing -- the non-profit data4life supports early-career researchers with access to their GDPR-compliant data collection platform, mentorship, open-access coverage and travel support!

www.data4life.care/en/about-us/...

1 month ago 31 17 2 0
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1 month ago 0 1 0 1
Germany does not lack talent, and it does not lack funding. But we are trapping 21st-century minds inside 19th-century academic hierarchies. We are asking brilliant young scientists to build the future of the German economy, but refusing to give them the lab space, the job security, or the scientific independence to actually do it. If we want to reclaim our place as an industrial superpower, we have to stop the rat race of trying to keep every technology and structure alive that made us successful in the 20th century. Instead, we must fix our system that pushes our most ambitious scientists away. The money is there. The talent can be there. Now, we also need the courage to fix what’s broken.

Germany does not lack talent, and it does not lack funding. But we are trapping 21st-century minds inside 19th-century academic hierarchies. We are asking brilliant young scientists to build the future of the German economy, but refusing to give them the lab space, the job security, or the scientific independence to actually do it. If we want to reclaim our place as an industrial superpower, we have to stop the rat race of trying to keep every technology and structure alive that made us successful in the 20th century. Instead, we must fix our system that pushes our most ambitious scientists away. The money is there. The talent can be there. Now, we also need the courage to fix what’s broken.

“we are trapping 21st-century minds inside 19th-century academic hierarchies.” This essay gets a lot right about problems with German science. I would add that the hierarchies and precarious contracts lead also to systemic abuse and scientific misconduct. open.substack.com/pub/realimag...

1 month ago 161 53 4 2

🚨 New preprint alert! 🚨 Transdiagnostic latent factor models of psychopathology are widely assumed to improve brain-behaviour associations. So we decided to test this directly and found that they don't. A short 🧵

Link: www.biorxiv.org/content/10.6...

1/10

1 month ago 33 17 1 2

What a brilliant commentary by @glassybrain.bsky.social on our paper- it’s been exciting to work w @hugofleming.bsky.social on how metabolic processes might influence learning computations & mental health… and as every scientist knows, validating that at least one other person is interested too ;)

1 month ago 11 1 0 0
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Affective Forecasting Accuracy in Everyday Life - Affective Science Affective Science - People often predict how they might feel in the future, with varying degrees of accuracy. Such affective forecasts can centre around periods of time (e.g., tomorrow, next week)...

In work recently out in Affective Science we investigated how accurately people can forecast their emotions in everyday life. Study 1 focused on forecasts for specific time periods (tomorrow, next week). Study 2 focused on forecasts for daily unpleasant events. link.springer.com/article/10.1...

1 month ago 34 12 2 1

Hey liebe Community, ihr kennt doch sicher den @realscientists.de Account, auf dem jede Woche ein toller Mensch sich und die eigene Forschung vorstellt. Wenn ihr Lust habt, dort einer großen & diversen Zielgruppe für eine Woche eure Arbeit zu präsentieren, meldet euch bei @jensfoell.de per DM. 🧠🫶

1 month ago 54 25 1 0

Great perspective piece on open-ended questions in ESM data by @bringmannlaura.bsky.social and colleagues that came out of this year's #MITNB meeting!

1 month ago 7 2 0 0

Really pleased to see this commentary from @glassybrain.bsky.social on our paper. She situates our findings within the immunometabolic depression framework and points to some cool directions for future work, including longitudinal designs and measuring insulin resistance more directly. Take a look!

1 month ago 6 1 0 0

Was great fun to dive deep into your work and the literature in general! Feels like there's lots of exciting new avenues on the horizon with new methods that make real-time monitoring of body, brain, and behavioural domains less burdensome for people!

1 month ago 2 0 0 0
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Metabolism and the Mind: Investigating the Link Between Glucose Control and Reinforcement Learning in Humans Signals from the body profoundly influence cognition. This process is known as interoception, and has been extensively studied in the cardiac, respira…

Thanks to Deanna Barch for the opportunity to write this and @akuehnel.bsky.social for her thoughts on the first draft! And check out @hugofleming.bsky.social's paper for an exciting blend of computational psychiatry & real-time metabolic monitoring: www.sciencedirect.com/science/arti...

1 month ago 3 1 0 0
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Metabolic Contributions to Learning and Feeling: Why They Matter and How to Make the Most of Them

Thoroughly enjoyed writing a commentary on a great paper by @hugofleming.bsky.social et al for @biologicalpsych.bsky.social:GOS, focusing on how to further explore metabolic contributions to learning and feeling using real-time data and interventional designs:
www.sciencedirect.com/science/arti...

1 month ago 15 8 2 3

#MSCA success rates now below 10%, yet the work that goes into writing this application is immense. Beyond the obvious increase in funding we need to find ways to lighten the time investment as well. Thousands of researchers spend weeks if not months working on this.

2 months ago 26 10 0 2
setweaver

Have you been interested in any of the set theory stuff I've been doing recently? Wondered at all how you can get in on the fun? Here's an R package @nicolasleenaerts.bsky.social and I built called 'setweaver.' This vignette should get you up and running. Yay :)
cran.r-project.org/web/packages...

2 months ago 13 4 1 0
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1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.

2 months ago 155 70 4 8
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How does metabolic learning shape human behaviour? In our recent study www.sciencedirect.com/science/arti..., we found that it shapes flavour preferences but, surprisingly, not action. Thread 🧵

2 months ago 23 13 2 1
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What is the brain for? Active inference is widely discussed as a unifying framework for understanding brain function, yet its empirical status remains debated. Our review identifies core predictions across the action-perception cycle and evaluates their empirical support: osf.io/preprints/ps...

2 months ago 101 39 2 1

Someone read this + noted a coding error to determine the 3-day mean correlations. Now updated with the new code + submitted a revision to bioRxiv.

On one hand, induced a moderate shame spiral.
On the other, super appreciative to see how I hope these open-science practices will work in action!

2 months ago 20 2 0 1

New preprint with Nicolai Wolpert and Catherine Tallon-Baudry !

Reaction times across three distinct perceptual tasks (total N = 90) varied with the electrical rhythm of the stomach.

#neuroskyence

2 months ago 15 7 0 1
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Indecision and recency-weighted evidence integration in non-clinical and clinical settings Biases in information gathering are common in the general population and can reach pathological extremes in paralysing indecisiveness, as in obsessive-compulsive disorder (OCD). Here, we adopt a new p...

New preprint from my postdoc with @tobiasuhauser.bsky.social at the MPC!

TL;DR: there is a strong recency bias in information gathering and it is attenuated in people on the #OCD spectrum - a possible mechanism for #indecisiveness 🤔

Paper here: www.biorxiv.org/content/10.1...

Thread below...

1 year ago 19 11 2 6
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Infinite hidden Markov models can dissect the complexities of learning - Nature Neuroscience Bruijns et al. present a modeling tool that enables the tracking of learning dynamics across subjects to reveal how behaviors emerge and adapt. Applying the tool to a decision-making task in mice unco...

New in Nature Neuroscience: We developed a flexible model that reveals how animals learn tasks—uncovering stages, sudden insights, and gradual improvements unique to each animal.
Learning isn't monotonic, and our model captures that complexity 🐭📊
www.nature.com/articles/s41...

3 months ago 59 18 0 0

Thanks to everyone who was there!

It really is fantastic to know that 70(!) people are interested in storytelling to explain science! 💙 😱

Missed the talk? Don't worry, I recorded it (in German): youtu.be/hUY098T9p-k

Thanks to @psycomm.bsky.social for allowing me to be one of the first talks! ✨

3 months ago 11 5 0 0

I’m very happy to share the latest from my lab published in @Nature

Hippocampal neurons that initially encode reward shift their tuning over the course of days to precede or predict reward.

Full text here:
rdcu.be/eY5nh

3 months ago 105 32 2 2