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Marvin Petersen

@petersenm.bsky.social
132 followers 309 following 69 posts

Neuroimaging • Networks • Nature Postdoc at Vascular Cognitive Impairment Lab, UMC Utrecht

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Reposted by Marvin Petersen
Alex Fornito @alexfornito.bsky.social · 19/08/2026
Not sure how to visualise your connectome data? Check our latest led by @m-gajwani.bsky.social & C Adamson on NeuroMarvl: an open source web-based platform for visualising and sharing connectomes! Paper: tinyurl.com/2t7ftu9d Software: tinyurl.com/yrv3xja3 @nsb-lab.bsky.social
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Reposted by Marvin Petersen
Andreas Horn @andreashorn.org · 27/07/2026
New perspective out @thelancetneuro.bsky.social w Anna Latorre, Marie Vidhailet et al. – where we further develop the idea that appendicular dystonia preferentially maps to BG networks while axial/cervical forms to cerebellar interations. Check it out here 👇👇 www.thelancet.com/journals/lan...
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Andreas Horn @andreashorn.org · 12/07/2026
New lesion network mapping paper from the Berlin group (Stegemann et al.) on post-stroke pain in @ohbmofficial.bsky.social can serve as a good example in the whole LNM validity discussion: They describe a network associated with new severe pain after stroke. pubmed.ncbi.nlm.nih.gov/42420807/
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Michael Fox @foxmdphd.bsky.social · 25/06/2026
Is brain circuit targeted TMS better than standard clinical TMS for treating depression? New study led by Joe Taylor @braincircuits.bsky.social out today in @jamapsychiatry.com says yes! Connectivity- vs Scalp-Based Targeting of Accelerated TMS for Depression jamanetwork.com/journals/jam...
jamanetwork.com
Connectivity- vs Scalp-Based Targeting of Accelerated TMS for Depression
This randomized clinical trial estimates the effect size of connectivity- vs scalp-based targeting of accelerated transcranial magnetic stimulation for treatment-resistant depression.
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Reposted by Marvin Petersen
Itai Yanai @itaiyanai.bsky.social · 18/06/2026
Where do ideas come from? We founded the Night Science Institute with the mission of training in the creative scientific process every early-career scientist in the world. Help us to spread the word with this clip! www.youtube.com/watch?v=0c1V... @nightsciencepod.bsky.social
youtube.com
Night Science Institute - our story
YouTube video by Night Science Institute
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Reposted by Marvin Petersen
Frauke Beyer @fraukeb.bsky.social · 17/06/2026
Excited to present my poster "Genetic determinants of white matter hyperintensitiy spatial patterns" today at the #OHBM2026 Come by my poster to learn about a pragmatic approach to WMH spatial patterns and which genes may be involved 📌 #2733 🕐 12.45-13.45 h @institutvbhi.bsky.social
A page describing the background, methods and results of the project on "Genetic determinants of white matter hyperintensity spatial patterns". See abstract on OHBM page for more infos
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Network Stimulation Institute @netstim.org · 15/06/2026
We are excited! #OHBM2026 – three @netstim.org papers by Aysu Sahin, Patricia Zvarova & Maike Mustin! 👇👇
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
I consider it to be in alpha and a work in progress, but mature enough to get feedback on what's unclear or breaks. So bug reports and ideas are very welcome!
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
For now the toolbox largely focusses on lesion network mapping, but it's built to grow, and a GUI is planned. Though built with lesions in mind, it works with any binary mask in MNI space, e.g. a ROI from fMRI, VBM or PET.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
In this way, it extends and complements the capabilities of other great tools such as @lead-dbs.org, BCBtoolkit, and the Lesion Quantification Toolkit.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
Some highlights are: Pipeline-like command line interface • You only need a lesion mask in MNI; no patient-level fMRI or dMRI required • Easy fetching of normative connectomes (GSP1000, HCP1065, dTOR985) • Custom atlas support • BIDS-style I/O • Provenance tracking • Docker/Apptainer containers
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
This poster shows one application example for the tool. The core motivation is to make the methods I am implementing for this and planned projects accessible to others in an efficient and user friendly package.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
Think of Lacuna as feature extraction tool covering multiple approaches evaluating lesion topology: • Focal damage (parcel atlas overlap) • Functional lesion network mapping • Structural lesion network mapping / disconnection mapping. In the documentation you can find tutorials on each.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
Happy to share Lacuna, an open-source Python toolbox for brain lesion analysis. If you have lesion segmentation data (e.g., for infarcts, tumors) and want to know which brain regions and circuits it links to, it's built for you. lacuna-py.readthedocs.io #neuroskyence #OHBM2026
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
I consider it a work in progress, but mature enough to get feedback on what's unclear or breaks. So bug reports and ideas are very welcome!
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
For now the toolbox largely focusses on lesion network mapping, but it's built to grow, and a GUI is planned. Though built with lesions in mind, it works with any binary mask in MNI space, e.g. a ROI from fMRI, VBM or PET.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
In this way, it extends and complements the capabilities of other great tools such as @lead-dbs.org, BCBtoolkit, and the Lesion Quantification Toolkit.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
Some highlights are • Pipeline-like command line interface • You only need a lesion mask in MNI; no patient-level fMRI or dMRI required • Easy fetching of normative connectomes (GSP1000, HCP1065, dTOR985) • Custom atlas support • BIDS-style I/O • Provenance tracking • Docker/Apptainer containers
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
This poster shows one application example for the tool. The core motivation is to make the methods I am implementing for this and planned projects accessible to others in an efficient and user friendly package.
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Marvin Petersen @petersenm.bsky.social · 17/06/2026
Think of Lacuna as feature extraction tool covering multiple approaches evaluating lesion topology: • Focal damage (parcel atlas overlap) • Functional lesion network mapping • Structural lesion network mapping / disconnection mapping In the documentation you can find tutorials on each.
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Reposted by Marvin Petersen
Badr AlKhamissi @bkhmsi.bsky.social · 16/06/2026
🚨 New Preprint! 🧠 We gave an AI model one simple rule: rearrange your neurons so that nearby ones respond alike. We never told it what a face, a voice, or a sentence was. It grew brain-like maps for all three anyway. 🧵👇 🌐 Website: topo-omni.epfl.ch
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Marvin Petersen @petersenm.bsky.social · 14/06/2026
Excited to share our work at #OHBM2026! Come by poster 0198 to chat about lesion network mapping, predictive modeling and post-stroke cognitive impairment. 📍 Mon June 15, 14:45–15:45 📍 Tue June 16, 13:30–14:30 @ohbmofficial.bsky.social @ohbmtrainees.bsky.social
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Scott Marek @smarek0502.bsky.social · 11/06/2026
What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...
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Reposted by Marvin Petersen
Michael Fox @foxmdphd.bsky.social · 10/06/2026
Can lesion network mapping predict survival in children with brain tumors? Collaboration with UCL and @braincircuits.bsky.social in @nature.com suggests the answer is yes. Cutting the tumor off from this network may provide survival benefit. www.nature.com/articles/s41...
nature.com
A prognostic human brain network for diffuse midline glioma - Nature
Tumour network mapping of diffuse midline glioma (DMG) defines a conserved and prognostically important brain network in children with DMG, consistent with the hypothesis that DMGs exploit otherw...
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
New paper out in @ frontiersin.bsky.social 🧠 In 40,579 adults across two cohorts (HCHS, #ukbiobank), we show that "biological brain aging" on MRI links to poorer cognition & motor function — and mediates the link between vascular risk and functional decline. #neuroskyence #dementia #aging
doi.org
Frontiers | Biological brain aging, cognitive-motor decline and vascular risk: a multivariate imaging analysis of 40,579 individuals
IntroductionAge-related declines in cognitive and motor functions show highly variable trajectories. To better understand the underlying mechanisms, we inves...
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Together, these findings deepen our understanding of how CLN2 affects the developing brain and point toward MRI as a practical way to follow the disease and gauge whether treatments are working. Huge thanks to the families who took part, and to all collaborators!
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Notably, the atrophy wasn't uniform — it concentrated in the brain's most connected hub regions, the high-traffic areas with the greatest metabolic demand. This offers a clue as to why certain regions are especially vulnerable in CLN2. #neuroskyence
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Brain atrophy on MRI was associated with decline in clinical scores over the same period. This suggests MRI-based measures could serve as objective markers to help track disease progression.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Across the cohort, brain atrophy was severe. The changes were often visible on the scans by eye, even between visits only 6 months apart — an indication of how quickly the disease progresses in affected children.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
We followed 27 children on therapy, with brain MRIs and detailed clinical assessments every 6 months over up to 2 years. A rich dataset for such a rare disease.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
There's now an enzyme therapy (cerliponase alfa) that can slow CLN2. But clinicians lack objective tools to track how the disease and treatment progress in each child, beyond clinical observation. That gap is what we set out to address.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
CLN2 is a rare genetic disease. Children develop normally at first — then around age 2–4 come seizures, loss of speech and movement, blindness, and progressive loss of skills, as neurons are destroyed. #BattenDisease #childhooddementia #raredisease
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
New paper out in @jimd-editors.bsky.social. In children with CLN2 disease — a form of childhood dementia — we show that brain atrophy on MRI tracks each child's clinical decline, making brain scans a promising tool to monitor treatment of this devastating, ultra-rare disorder. #pediatrics
doi.org
Mapping Clinical Progression to Brain Atrophy in CLN2 Patients Under Cerliponase Alfa Treatment: A Prospective Neuroimaging Study
Neuronal ceroid lipofuscinosis type 2 (CLN2) disease, a lysosomal storage disorder, causes early childhood psychomotor regression, vision loss, seizures, and rapid progressive gray matter loss. Howev...
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Funded by @dfg.de. Thanks to a great team of collaborators!
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
In a non-demented population this points to oral health as an accessible, modifiable target — for early risk assessment and potentially prevention. Limitation: cross-sectional, reverse pathways (poorer cognition → worse oral hygiene) stay plausible. We will work on longitudinal data next.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Forward model selection (db-RDA) also independently linked cortical thickness & subcortical volume to microbiota composition suggesting the oral–brain association extends to brain structure, not only cognition.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
A covariate-adjusted group comparison (age, sex, education, vascular risk) confirmed the pathogenic group had worse periodontal status, higher leukocytes, lower cognition & lower MIND-diet adherence.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
We mapped 40 host phenotypes onto this network. The pathogenic pole co-aligned with poorer cognition, higher leukocytes, older age, more smoking, lower brain structural integrity & less healthy diet. Beyond markers of periodontal health, leukocytes & cognition tracked the gradient most strongly.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
The network organized itself along a continuous periodontal pathogenicity gradient — from periodontitis-associated taxa (Porphyromonas, Fusobacterium, Treponema) at one pole to lower-pathogenicity taxa (Streptococcus, Rothia, Neisseria) at the other.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
We profiled subgingival microbiota (16S) and used topological data analysis to turn relative abundance of 85 genera into a similarity network — a data-driven map of participants, where proximity reflects how similar two people's microbiota are.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
Periodontitis-associated bacteria are thought to drive systemic inflammation and neurodegeneration, and have been linked to dementia. Yet evidence in non-demented, population-based samples (the stage where prevention matters most) has been scarce. In this study, we address this gap.
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Marvin Petersen @petersenm.bsky.social · 02/06/2026
New paper out in The Lancet @ebiomedicine.bsky.social on the oral–brain axis 🦷🧠. Does the bacterial community living in our gum pockets relate to brain health? In 1,026 people from the population-based PAROMIND cohort, we show the answer is yes. 🧵 #neuroskyence #microbiome #dementia
thelancet.com
Subgingival microbiota composition is associated with brain health in the general population–the PAROMIND study
These findings from a large cohort advance the understanding of the oral microbiome–brain axis, highlighting specific microbial profiles linked to subclinical cognitive, structural, and inflammatory b...
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Reposted by Marvin Petersen
Thomas Yeo @bttyeo.bsky.social · 21/05/2026
In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N
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Andreas Horn @andreashorn.org · 13/05/2026
Fantastic new tool to manage stimulation parameters and outcome scores in a machine readable and standardized fashion – a big step toward reproducibility in the field of DBS imaging! 👇👇
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Leon Lotter @leondlotter.de · 07/05/2026
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
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The Transmitter @thetransmitter.bsky.social · 17/04/2026
A wave of new papers discuss the merits and limitations of lesion network mapping. #neuroskyence By @avaskham.bsky.social www.thetransmitter.org/brain-imagin...
thetransmitter.org
‘Overdue’ debate unfurls over neuroimaging method
After a January paper questioned the validity of an approach called lesion network mapping, its users are pressure testing their results.
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Siawoosh Mohammadi @siawooshmr.bsky.social · 03/04/2026
1/9 New preprint by Laurin Mordhorst: 3D histology validates 2D histology for axon radius distributions and conduction velocities. We asked: if individual axons vary along their length, can classic 2D histology still reflect white-matter organization? Link: www.biorxiv.org/content/10.6...
biorxiv.org
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Jessica Royer @jroyer.bsky.social · 03/04/2026
Correlating brain maps across datasets is everywhere in neuroimaging. Here we ask: when you contextualize a brain map against genes, metabolism, or connectivity... What can you really conclude? How can we do better? We explore these questions here: tinyurl.com/2dudkevc
tinyurl.com
Opportunities and pitfalls of data contextualization in neuroimaging - Nature Reviews Neuroscience
Despite rapid exploitation of the opportunities that contextualization of brain maps affords, potential limitations have received little attention. In this Roadmap, Royer et al. provide practical guid...
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Marvin Petersen @petersenm.bsky.social · 01/04/2026
The LNM debate keeps developing. www.nature.com/articles/s41... @andrewzalesky.bsky.social @natneuro.nature.com #neuroskyence
nature.com
Null models for lesion network mapping - Nature Neuroscience
Van den Heuvel et al. show that lesion-network mapping (LNM)-derived circuits converge across disorders and argue that this convergence reflects a fundamental methodological limitation of LNM. We eval...
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Bratislav Misic @misicbata.bsky.social · 17/03/2026
Organization of neuropeptide systems in the human brain | doi.org/10.1038/s415... Neuropeptides are functionally diverse signaling molecules in the brain and body. @cebric.bsky.social curates an atlas of neuropeptide receptors and relates it to brain function @natneuro.nature.com 🧩 🧠 ⤵️
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