Leon Lotter

Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone.

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

Finally, some resources: Code: github.com/LeonDLotter/... Method as a Python tool: github.com/LeonDLotter/... (Full working example coming soon) Again, the preprint: doi.org/10.64898/202... In the future, we plan an integration into NiSpace: github.com/LeonDLotter/NiSpace 17/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

Limitations: Correlative design, dependence on PET map quality, intercorrelated neurotransmitter maps, and small pharmacological cohorts. Effects nonetheless replicate across 6 cohorts, two imaging modalities, multiple parcellations, and are present at the individual subject level! 15/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

Application: Pharmaco-fMRI data for 3/4 substances show AUC score modulation largely in line with expected receptor targets (risperidone, ketamine, midazolam). For ketamine and midazolam administered intravenously during scans, NEOFC scores change dynamically during infusion (lower right). 13/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

... Such local patterns may then show as negative associations (fMRI AUC–). Only ultra-slow fluctuations, producing networks with high spatial coherence – such as those supported by long-range projecting neurons – may actually "survive" in fMRI (→ NET AUC+). 11/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

Indeed, they do! AUC profiles correlate 0.8 – 0.9 between rsfMRI datasets, ICC approaches 0.9. MEG mirrors MRI results, but with a twist: We find high correspondence in the beta band (scatter plots). But especially gamma bands show pronounced AUC+ effects not present in MRI. 9/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

During our exploration, we realized: Our approach is intrinsically sensitive to positive associations (high connectivity in regions with high PET density: "AUC+"), but to test for negative associations, we can invert the PET maps. A range of transmitter systems showed strong "AUC–" effects! 7/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

With this approach, we evaluate 25 PET atlases for their associations with individual connectome architecture. We test for statistical significance with spatial nulls of the PET maps. But first, we run a positive control confirming that we can trace underlying canonical resting-state networks. 5/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

Resting-state (rs)fMRI connectivity has been measured for 30 years. But its neurobiological basis remains poorly understood - BOLD is indirect, unspecific, and shaped by neurovascular coupling. Which neurotransmitter systems drive the networks we observe remains largely an open question. 3/n

My most recent and biggest work so far is finally out as a preprint! 🧠🧵 *Linking human brain functional connectivity to underlying neurotransmission* doi.org/10.64898/202... 1/n TL;DR below ↓ #neuroskyence #neuroimaging #MedSky #PsySciSky

Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone.

Catching up on my paper threads 🧵 Here is a perspective from this year, lead-authored by my supervisor, @juergendukart.bsky.social The many-to-many problem of endophenotypes in psychiatry - a biological perspective doi.org/10.1038/s413... #neuroskyence #neuroimaging #MedSky #PsychSciSky 1/n

Pathway-specific imaging biomarkers – multimodal colocalization, multi-tracer PET, advanced MRS – interrogate that grid, linking genes X environment X brain to the individual. A step toward precision psychiatry with heterogeneity built in as a feature, rather than dealing with it post-hoc. 5/n

Catching up on my paper threads 🧵 Here is a perspective from this year, lead-authored by my supervisor, @juergendukart.bsky.social The many-to-many problem of endophenotypes in psychiatry - a biological perspective doi.org/10.1038/s413... #neuroskyence #neuroimaging #MedSky #PsychSciSky 1/n

If altered neurotransmission underlies psychiatric disorders, we identify a problem: neurotransmitter systems are strongly colocalized – GABAa and 5-HT2a share ~80% of spatial variance. The same imaging signal can reflect entirely different pathophysiology in two patients. But you'd never know. 3/n

Catching up on my paper threads 🧵 Here is a perspective from this year, lead-authored by my supervisor, @juergendukart.bsky.social The many-to-many problem of endophenotypes in psychiatry - a biological perspective doi.org/10.1038/s413... #neuroskyence #neuroimaging #MedSky #PsychSciSky 1/n

Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone.

Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone.

Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone.

Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone.

*Rescuing Twitter Threads* series 2021: This was my first fist-author and MD thesis paper! *Recovery-Associated Resting-State Activity and Connectivity Alterations in Anorexia Nervosa* doi.org/10.1016/j.bp... PDF: leondlotter.de/doc/2021_ANR... 1/n #neuroskyence #neuroimaging #AcademicSky #SciSky

While grey matter volume alterations demonstrated similar recovery dynamics, voxel-wise controlling did barely affect rsfMRI group differences, suggesting differing mechanisms in place (panel C). Correlations with clinical variables did not survive multiple comparison correction. 4/n

*Rescuing Twitter Threads* series 2021: This was my first fist-author and MD thesis paper! *Recovery-Associated Resting-State Activity and Connectivity Alterations in Anorexia Nervosa* doi.org/10.1016/j.bp... PDF: leondlotter.de/doc/2021_ANR... 1/n #neuroskyence #neuroimaging #AcademicSky #SciSky

We were interested in how resting-state fMRI alterations in Anorexia nervosa develop from starvation to weight-recovered state and how they relate to grey matter volume changes. Different rsfMRI metrics in acute, partially and long-term weight-recovered patients showed: 2/n