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Dr Jose Bernal

@joseabernal.bsky.social
56 followers 92 following 22 posts

Junior (Assistant) Professor | AIBE@FAU | CSVD & Neuroimaging | He/him

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Dr Jose Bernal @joseabernal.bsky.social · 26/05/2026
Congrats!
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Reposted by Dr Jose Bernal
Olivier Parent @oparent.bsky.social · 26/05/2026
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...
doi.org
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...
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Reposted by Dr Jose Bernal
DZNE research center @dzne.science · 05/05/2026
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
dlvr.it
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
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Reposted by Dr Jose Bernal
DZNE research center @dzne.science · 02/05/2026
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
dlvr.it
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
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Reposted by Dr Jose Bernal
medRxivpreprint @medrxivpreprint.bsky.social · 30/04/2026
Chronic psychosocial stress is associated with higher MRI-visible perivascular space volumes in healthy young adults www.medrxiv.org/content/10.64898/20…
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Reposted by Dr Jose Bernal
DZNE research center @dzne.science · 10/03/2026
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
dlvr.it
A physically and mentally active lifestyle relates to younger brain and cognitive age
Behrenbruch, Niklas; Schwarck, Svenja; Schumann-Werner, Beate; et al. GeroScience 
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
If you’re interested in testing DRIPS on your own data or collaborating on new applications, feel free to reach out.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
Grateful to Luna Bitar and Mario Díaz for their outstanding work, and to all collaborators who contributed through data collection, manual segmentation, and writing — this project truly was a collective effort.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
The segmentation performance of DRIPS remained stable regardless of white matter hyperintensity (WMH) burden, unlike other methods that were biased by their presence.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
DRIPS generally outperformed both classical filtering approaches and more recent deep-learning methods, achieving consistent PVS segmentation across imaging data from participants with diverse health conditions.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
Out-of-sample, DRIPS accurately segmented PVS across real T1- and T2-weighted scans, isotropic and anisotropic resolutions, and even an ex vivo histology reconstruction — without needing retraining or fine-tuning.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
DRIPS synthesises brain images with PVS-like structures and corresponding label maps on the fly, combining anatomical priors with simulated artefacts such as noise, motion, and bias fields to teach networks robust representations.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
Current segmentation methods often fail when moving across scanners or cohorts — they depend on extensive manual annotations, retraining, or contrast-specific tuning. This is not sustainable in the long run.
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Dr Jose Bernal @joseabernal.bsky.social · 24/10/2025
📢 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
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Dr Jose Bernal @joseabernal.bsky.social · 13/08/2025
As a team, we developed targeted recommendations aimed at accelerating the integration of ML+CSVD into clinical practice.
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Dr Jose Bernal @joseabernal.bsky.social · 13/08/2025
In need of improvement: Serious methodological issues—such as inconsistent reporting, limited testing of generalisability, and other potential biases—remain common and continue to hinder broader adoption.
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Dr Jose Bernal @joseabernal.bsky.social · 13/08/2025
Positive: There is growing interest in incorporating CSVD markers into ML models for classifying neurodegenerative diseases, and current performance indicates that this approach merits further investigation.
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Dr Jose Bernal @joseabernal.bsky.social · 13/08/2025
We carried out a systematic review and meta-analysis to examine the use of neuroimaging CSVD markers in machine learning–based diagnosis and prognosis of cognitive impairment and dementia, while also identifying methodological trends over time and barriers to clinical translation.
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Dr Jose Bernal @joseabernal.bsky.social · 13/08/2025
🚨 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
doi.org
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...
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Dr Jose Bernal @joseabernal.bsky.social · 09/07/2025
📢 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
doi.org
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...
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Dr Jose Bernal @joseabernal.bsky.social · 17/06/2025
Take home 🏠 message: Cerebrovascular and ageing-related atrophic changes are interrelated and shape cognitive trajectories. Trajectories may nonetheless be modified for the better by managing cerebrovascular and mental health while fostering cognitive engagement.
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Dr Jose Bernal @joseabernal.bsky.social · 17/06/2025
(B) WMH progression and ageing-related atrophy were independently associated with changes in cognitive performance, underscoring their relevance for brain maintenance. (C) Neuroticism, depression, and low cognitive engagement predicted worse domain-specific trajectories.
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Dr Jose Bernal @joseabernal.bsky.social · 17/06/2025
(A) WMH not only co-occur with medial temporal lobe atrophy but may also contribute to and accelerate its progression. We observed this coupling also in a prior study (doi.org/10.1186/s131...). This finding suggests that preserving microvasculature may reduce vulnerability to neurodegeneration.
doi.org
Longitudinal evidence for a mutually reinforcing relationship between white matter hyperintensities and cortical thickness in cognitively unimpaired older adults - Alzheimer's Research & Therapy
Background For over three decades, the concomitance of cortical neurodegeneration and white matter hyperintensities (WMH) has sparked discussions about their coupled temporal dynamics. Longitudinal st...
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Dr Jose Bernal @joseabernal.bsky.social · 17/06/2025
Using four-year data from 543 cognitively unimpaired participants from the DELCODE study and latent growth curve modelling, we examined the co-evolution of white matter hyperintensities (WMH), medial temporal lobe to ventricle ratio, and cognitive performance.
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Dr Jose Bernal @joseabernal.bsky.social · 17/06/2025
🚨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
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Dr Jose Bernal @joseabernal.bsky.social · 23/05/2025
I had no clue you were working on CSVD!!!
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Dr Jose Bernal @joseabernal.bsky.social · 18/12/2024
📢 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
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