New paper “Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions” out in Nature Communications! doi.org/10.1038/s414...

Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions - Nature Communications

Using advanced MRI modeling, this study found distinct spatial and pathophysiological signatures in vascular- and neurodegeneration-related white matter hyperintensities, clarifying their interpretati...

doi.org

New paper out: Perivascular Spaces Are Associated With CSF Aβ in Cerebral Amyloid Angiopathy But Not in Deep Perforator Arteriopathy.: Arndt, Philipp; Pfister, Malte; Müller, Sebastian Johannes; et al. Stroke p. STROKEAHA.125.053794 | Thanks for sharing #dzne #papers

New paper out: Dysfunction of the episodic memory network in the Alzheimer's disease cascade.: Lattmann, René; Vockert, Niklas; Bernal, Jose; et al. Nature Communications Vol. 17, no. 1, p. 3578 | Thanks for sharing #dzne #papers

Chronic psychosocial stress is associated with higher MRI-visible perivascular space volumes in healthy young adults https://www.medrxiv.org/content/10.64898/2026.04.29.26352039v1

New paper out: A physically and mentally active lifestyle relates to younger brain and cognitive age: Behrenbruch, Niklas; Schwarck, Svenja; Schumann-Werner, Beate; et al. GeroScience  | Thanks for sharing #dzne #papers

📢 New Preprint 📢 After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social

medRxivpreprint@medrxivpreprint.bsky.social · 10mo ago

DRIPS: Domain Randomisation for Image-based Perivascular spaces Segmentation https://www.medrxiv.org/content/10.1101/2025.10.22.25337423v1

🚨 Hot off the press! 🚨 Our systematic review and meta-analysis on ML+CSVD for dementia diagnosis and prognosis has been published! An international collaboration, featuring @Valerie Lohner @oparent.bsky.social @helenagellersen.bsky.social and many others. doi.org/10.1186/s131... @dzne.science

Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis - Alzheimer's Research & Therapy

Cerebral small vessel disease (CSVD) is a common neurological condition that contributes to strokes, dementia, disability, and mortality worldwide. We conducted a systematic review and meta-analysis t...

doi.org

📢 Hot off the press! 📢 Want to show that healthcare AI really works in everyday settings? Large-scale, multi-site studies are a powerful path forward. I’m thrilled to have joined this effort as part of the Colombian collaborator team. doi.org/10.1038/s414... @dzne.science

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge - Nature Communications

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tu...

doi.org

🚨New preprint 🚨 TL;DR Supporting cerebrovascular and mental health, along with staying cognitively engaged, may help preserve brain function and delay cognitive decline and dementia. @dzne.science

medRxivpreprint@medrxivpreprint.bsky.social · last yr.

Linking latent trajectories of ageing-related atrophy, white matter hyperintensities, and cognitive ageing over four years: Insights into brain maintenance https://www.medrxiv.org/content/10.1101/2025.06.16.25329648v1

📢 Habemus preprint 📢 Our systematic review and meta-analysis on ML+vascular neuroimaging for dementia diagnosis and prognosis is out! Fantastic collaboration with @ValerieLohner, @oparent.bsky.social @helenagellersen.bsky.social and many others! Check it out! @dzne.science

medRxivpreprint@medrxivpreprint.bsky.social · 2y ago

Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis https://www.medrxiv.org/content/10.1101/2024.12.17.24319166v1