[FG] Translational Imaging in Neurology

Cagol, A. et al. (2025) ‘Comparative effectiveness of teriflunomide and ocrelizumab on smoldering activity in multiple sclerosis: an observational study in the Swiss Multiple Sclerosis Cohort’, Journal of Neurology, 272(8). Available at: https://doi.org/10.1007/s00415-025-13221-x.

Einsiedler, Maximilian et al. (2025) ‘Treatment Strategies and Disease Activity During Pregnancy and Postpartum’, Neurology Clinical Practice, 15(4). Available at: https://doi.org/10.1212/cpj.0000000000200499.

Damiano, Marastoni et al. (2025) ‘Intrathecal Inflammatory Profile and Gray Matter Damage Predict Progression Independent of Relapse Activity in Early Multiple Sclerosis’, Neurol Neuroimmunol Neuroinflamm . , 12(4), p. e200399. Available at: https://doi.org/10.1212/NXI.0000000000200399.

Kan, C.N. et al. (2025) ‘Tract-specific white matter hyperintensities and neuropsychiatric syndromes: A multicentre memory clinic study’, Journal of Neurology, Neurosurgery and Psychiatry, 96(7), pp. 697–704. Available at: https://doi.org/10.1136/jnnp-2024-334264.

Cagol, A. and Rovira, À. (2025) ‘Reinforcing the evidence framework for paramagnetic rim lesions in MS: Advancing toward broad clinical integration’, Multiple Sclerosis Journal [Preprint]. Available at: https://doi.org/10.1177/13524585251349971.

Cagol, A. and Granziera, C. (2025) ‘Rethinking Multiple Sclerosis Diagnosis’, Neurology Open Access, 1(2). Available at: https://doi.org/10.1212/wn9.0000000000000021.

Iaquinto, Stefania et al. (2025) ‘Confirmed Worsening of Health-Related Quality of Life to Monitor Long-Term MS Disease Progression: A Longitudinal Analysis From the Swiss Multiple Sclerosis Registry’, European Journal of Neurology, 32. Available at: https://doi.org/10.1111/ene.70230.

Müller, Jannis et al. (2025) ‘Standardized Definition of Progression Independent of Relapse Activity (PIRA) in Relapsing-Remitting Multiple Sclerosis’, JAMA Neurology. 14.04.2025, 82(6), pp. 614–625. Available at: https://doi.org/10.1001/jamaneurol.2025.0495.

Martina, Greselin et al. (2025) ‘AI-assisted identification of disability patterns within identical EDSS grades’, Mult Scler ., 31(6), pp. 677–688. Available at: https://doi.org/10.1177/13524585251327300.

Géraldine, Androdias et al. (2025) ‘De-escalating and discontinuing disease-modifying therapies in multiple sclerosis’, Brain ., 148(5), pp. 1459–1478. Available at: https://doi.org/10.1093/brain/awae409.

Greselin, Martina et al. (2025) ‘AI-assisted identification of disability patterns within identical EDSS grades’, Multiple Sclerosis Journal, 31, pp. 677–688. Available at: https://doi.org/10.1177/13524585251327300.

David R, van Nederpelt et al. (2025) ‘User requirements for quantitative radiological reports in multiple sclerosis’, Eur Radiol ., Online ahead of print. Available at: https://doi.org/10.1007/s00330-025-11544-x.

Ocampo-Pineda, Mario et al. (2025) ‘White Matter Tract Degeneration in Multiple Sclerosis Patients With Progression Independent of Relapse Activity’, Neurology: Neuroimmunology and NeuroInflammation, 12(3). Available at: https://doi.org/10.1212/NXI.0000000000200388.

Galbusera, R. et al. (2025) ‘Quantitative T1 is sensitive to cortical remyelination in multiple sclerosis: A postmortem MRI study’, Brain Pathology [Preprint]. Available at: https://doi.org/10.1111/bpa.70010.

Riccardo Galbusera et al. (2025) ‘Quantitative T1 is sensitive to cortical remyelination in multiple sclerosis: A postmortem MRI study’, Brain Pathol . , p. e70010. Available at: https://doi.org/10.1111/bpa.70010 .

Bédard, S. et al. (2025) ‘Towards contrast-agnostic soft segmentation of the spinal cord’, Medical Image Analysis, 101, p. 103473. Available at: https://doi.org/10.1016/j.media.2025.103473.

Müller, Jannis et al. (2025) ‘Treatment De-escalation in Relapsing-Remitting Multiple Sclerosis: An Observational Study’, CNS Drugs, 39(4), pp. 403–416. Available at: https://doi.org/10.1007/s40263-025-01164-w.

Lukasz Kolakowski, Katarina Alexandra Ebner and Athina Papadopoulou (2025) ‘Headache and Facial Pain in Multiple Sclerosis: A Narrative Review’, Clinical and translational neuroscience [Preprint]. Available at: https://doi.org/10.3390/ctn9010016.

Stringer, Michael S. et al. (2025) ‘Cerebrovascular Function in Sporadic and Genetic Cerebral Small Vessel Disease’, Annals of Neurology, 97(3), pp. 483–498. Available at: https://doi.org/10.1002/ana.27136.

Elisabeth A, Kappos et al. (2025) ‘The LYMPH trial: comparing microsurgical with conservative treatment for chronic breast cancer-associated lymphoedema - study protocol of a pragmatic randomised international multicentre superiority trial’, BMJ Open . , 15(2), p. e090662. Available at: https://doi.org/10.1136/bmjopen-2024-090662.

Benno Gesierich et al. (2025) ‘Extended Technical and Clinical Validation of Deep Learning-Based Brainstem Segmentation for Application in Neurodegenerative Diseases’, Hum Brain Mapp ., 46(3), p. e70141. Available at: https://doi.org/10.1002/hbm.70141.

Gordaliza, Pedro M. et al. (2025) ‘Fluid and White Matter Suppression Contrasts MRI Improves Deep Learning Detection of Multiple Sclerosis Cortical Lesions’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2025.01.19.25320792.

Gravesteijn, Gido et al. (2025) ‘Disease Severity Staging System for NOTCH3 -Associated Small Vessel Disease, Including CADASIL’, JAMA Neurology, 82(1), pp. 49–60. Available at: https://doi.org/10.1001/jamaneurol.2024.4487.

Disanto, G. et al. (2025) ‘Treatment persistence and clinical outcomes in patients starting B cell depleting therapies within the Swiss MS Cohort’, Multiple Sclerosis Journal - Experimental, Translational and Clinical, 11(1). Available at: https://doi.org/10.1177/20552173251315457.

Durrer, Alicia et al. (2025) ‘Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Marrakesh, Morocco: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ), pp. 87–97. Available at: https://doi.org/10.1007/978-3-031-72744-3_9.

Molchanova, Nataliia et al. (2025) ‘Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation’, Computers in Biology and Medicine, 184. Available at: https://doi.org/10.1016/j.compbiomed.2024.109336.

Müller, Jannis, Derfuss, Tobias and Yaldizli, Özgür (2025) ‘Klinische Grundlagen der MS’, in Multiple Sklerose verstehen und behandeln. Springer (Multiple Sklerose verstehen und behandeln).

Sanabria-Diaz, Gretel et al. (2025) ‘Advanced MRI Measures of Myelin and Axon Volume Identify Repair in Multiple Sclerosis’, Annals of Neurology, 97(1), pp. 134–148. Available at: https://doi.org/10.1002/ana.27102.

Sanabria‐Diaz, Gretel et al. (2025) ‘Advanced MRI Measures of Myelin and Axon Volume Identify Repair in Multiple Sclerosis’, Annals of Neurology, 97(1), pp. 134–148. Available at: https://doi.org/10.1002/ana.27102.

Sharmin, Sifat et al. (2025) ‘MSoutcomes: CORe Multiple Sclerosis Outcomes Toolkit’. Available at: https://doi.org/https://CRAN.R-project.org/package=MSoutcomes.

Spagnolo, F. et al. (2025) ‘Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Cham: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ), pp. 121–131. Available at: https://doi.org/10.1007/978-3-031-77610-6_12.

Voorter, Paulien H.M. et al. (2025) ‘Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI’, Stroke, 56(1), pp. 128–137. Available at: https://doi.org/10.1161/STROKEAHA.124.047910.

Yaldizli, Özgür et al. (2025) ‘Personalized treatment decision algorithms for the clinical application of serum neurofilament light chain in multiple sclerosis: A modified Delphi Study’, Multiple Sclerosis Journal [Preprint]. Available at: https://doi.org/10.1177/13524585251335466.

Cagol, A. and Montobbio, N. (2024) ‘Reassuring Insights Into the Effect of COVID-19 on Symptoms and Disability in People With Multiple Sclerosis: Weathering the Storm’, Neurology, 104(2). Available at: https://doi.org/10.1212/WNL.0000000000210272.

Barakovic, Muhamed et al. (2024) ‘A novel imaging marker of cortical “cellularity” in multiple sclerosis patients’, Scientific Reports, 14(1). Available at: https://doi.org/10.1038/s41598-024-60497-6.

Fang, Rong et al. (2024) ‘Risk factors and clinical significance of post-stroke incident ischemic lesions’, Alzheimer’s and Dementia, 20(12), pp. 8412–8428. Available at: https://doi.org/10.1002/alz.14274.

Janiaud, Perrine et al. (2024) ‘MultiSCRIPT-Cycle 1—a pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in multiple sclerosis: a study protocol for a randomized clinical trial’, Trials, 25(1). Available at: https://doi.org/10.1186/s13063-024-08454-6.

Petersen, Marvin et al. (2024) ‘Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment’, Brain, 147(12), pp. 4265–4279. Available at: https://doi.org/10.1093/brain/awae315.

Weigel, M. et al. (2024) ‘Feasibility of interleaved multislice averaged magnetization inversion-recovery acquisitions of the spinal cord’, Magnetic Resonance in Medicine, 92(6), pp. 2588–2595. Available at: https://doi.org/10.1002/mrm.30223.

Pontillo, Giuseppe et al. (2024) ‘Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap’, Neurology, 103(10). Available at: https://doi.org/10.1212/WNL.0000000000209976.

Li, H. et al. (2024) ‘Meso-cortical pathway damage in cognition, apathy and gait in cerebral small vessel disease’, Brain, 147(11), pp. 3804–3816. Available at: https://doi.org/10.1093/brain/awae145.

Pakeerathan, T. et al. (2024) ‘Rapid differentiation of MOGAD and MS after a single optic neuritis’, Journal of Neurology, 271(11), pp. 7222–7231. Available at: https://doi.org/10.1007/s00415-024-12666-w.

Scalfari, Antonio et al. (2024) ‘Smouldering-Associated Worsening in Multiple Sclerosis: An International Consensus Statement on Definition, Biology, Clinical Implications, and Future Directions’, Annals of Neurology, 96(5), pp. 826–845. Available at: https://doi.org/10.1002/ana.27034.

Seidel, Florine et al. (2024) ‘Metabolic dysfunction-associated steatotic liver disease is associated with effects on cerebral perfusion and white matter integrity’, Heliyon, 10(19). Available at: https://doi.org/10.1016/j.heliyon.2024.e38516.

Coenen, Mirthe et al. (2024) ‘Strategic white matter hyperintensity locations associated with post-stroke cognitive impairment: A multicenter study in 1568 stroke patients’, International Journal of Stroke, 19(8), pp. 916–924. Available at: https://doi.org/10.1177/17474930241252530.

Müller, Jannis et al. (2024) ‘Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions’, Neurology. 30.08.2024, 103(6). Available at: https://doi.org/10.1212/WNL.0000000000209604.

Gordaliza, P.M. et al. (2024) ‘Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.09.17.613272.

Cagol, Alessandro et al. (2024) ‘Advanced Quantitative MRI Unveils Microstructural Thalamic Changes Reflecting Disease Progression in Multiple Sclerosis’, Neurology: Neuroimmunology and NeuroInflammation, 11(6). Available at: https://doi.org/10.1212/NXI.0000000000200299.

Rocca, Maria A. et al. (2024) ‘Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis’, The Lancet Regional Health - Europe, 44. Available at: https://doi.org/10.1016/j.lanepe.2024.100978.

Wendebourg, Maria Janina et al. (2024) ‘The Lateral Corticospinal Tract Sign: An MRI Marker for Amyotrophic Lateral Sclerosis’, Radiology, 312(3). Available at: https://doi.org/10.1148/radiol.231630.

Spagnolo, F. et al. (2024) ‘Exploiting XAI maps to improve MS lesion segmentation and detection in MRI’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.08.29.610090.

Yi, F. et al. (2024) ‘Baseline and Longitudinal MRI Markers Associated With 16-Year Mortality in Patients With Cerebral Small Vessel Disease’, Neurology, 103(6). Available at: https://doi.org/10.1212/WNL.0000000000209701.

Schoenholzer, Kean et al. (2024) ‘Hemimacular Thinning Due to Lesions in the Lateral Geniculate Nucleus in 2 Patients with Neuroinflammatory Diseases’, Neurology: Neuroimmunology and NeuroInflammation, 11(6). Available at: https://doi.org/10.1212/NXI.0000000000200297.

Sastre-Garriga, J. et al. (2024) ‘Value of Optic Nerve MRI in Multiple Sclerosis Clinical Management’, Neurology, 103(3). Available at: https://doi.org/10.1212/wnl.0000000000209677.

Cagol, Alessandro, Tsagkas, Charidimos and Granziera, Cristina (2024) ‘Advanced Brain Imaging in Central Nervous System Demyelinating Diseases’, Neuroimaging Clinics of North America, 34(3), pp. 335–357. Available at: https://doi.org/10.1016/j.nic.2024.03.003.

Cortese, Rosa et al. (2024) ‘Grey Matter Atrophy and its Relationship with White Matter Lesions in Patients with Myelin Oligodendrocyte Glycoprotein Antibody-associated Disease, Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder, and Multiple Sclerosis’, Annals of Neurology, 96(2), pp. 276–288. Available at: https://doi.org/10.1002/ana.26951.

Graber, M. et al. (2024) ‘Recommendations for the Treatment of Multiple Sclerosis in Family Planning, Pregnancy and Lactation in Switzerland: Immunotherapy’, Clinical and Translational Neuroscience, 8(3), p. 26. Available at: https://doi.org/10.3390/ctn8030026.

Greselin, Martina et al. (2024) ‘Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort’, Bioengineering, 11(8), p. 858. Available at: https://doi.org/10.3390/bioengineering11080858.

Greselin, Martina et al. (2024) ‘Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort’, Bioengineering, 11(8), p. 858. Available at: https://doi.org/10.3390/bioengineering11080858.

Scaravilli, Alessandra et al. (2024) ‘An MRI evaluation of white matter involvement in paradigmatic forms of spastic ataxia: results from the multi-center PROSPAX study’, Journal of Neurology, 271(8), pp. 5468–5477. Available at: https://doi.org/10.1007/s00415-024-12505-y.

Cocozza, Sirio et al. (2024) ‘Gradient of microstructural damage along the dentato-thalamo-cortical tract in Friedreich ataxia’, Annals of Clinical and Translational Neurology, 11(7), pp. 1691–1702. Available at: https://doi.org/10.1002/acn3.52048.

Moura, João et al. (2024) ‘Emerging imaging markers in radiologically isolated syndrome: implications for earlier treatment initiation’, Neurological Sciences, 45(7), pp. 3061–3068. Available at: https://doi.org/10.1007/s10072-024-07402-1.

Schuchardt, F.F. et al. (2024) ‘Clinical value of neuroimaging indicators of intracranial hypertension in patients with cerebral venous thrombosis’, Neuroradiology, 66(7), pp. 1161–1176. Available at: https://doi.org/10.1007/s00234-024-03363-6.

Ciccarelli, O. et al. (2024) ‘Using the Progression Independent of Relapse Activity Framework to Unveil the Pathobiological Foundations of Multiple Sclerosis’, Neurology, 103(1). Available at: https://doi.org/10.1212/WNL.0000000000209444.

Hirt, Julian et al. (2024) ‘Clinical trial evidence of quality-of-life effects of disease-modifying therapies for multiple sclerosis: a systematic analysis’, Journal of Neurology, 271(6), pp. 3131–3141. Available at: https://doi.org/10.1007/s00415-024-12366-5.

Ter Telgte, A. and Duering, M. (2024) ‘Cerebral Small Vessel Disease: Advancing Knowledge with Neuroimaging’, Stroke, 55(6), pp. 1686–1688. Available at: https://doi.org/10.1161/STROKEAHA.123.044294.

Wendebourg, Maria Janina et al. (2024) ‘Cervical and thoracic spinal cord gray matter atrophy is associated with disability in patients with amyotrophic lateral sclerosis’, European Journal of Neurology, 31(6). Available at: https://doi.org/10.1111/ene.16268.

Cerfontaine, M.N. et al. (2024) ‘Association of NOTCH3 Variant Risk Category With 2-Year Clinical and Radiologic Small Vessel Disease Progression in Patients With CADASIL’, Neurology, 102(10). Available at: https://doi.org/10.1212/WNL.0000000000209310.

Müller, Jannis et al. (2024) ‘Escalating to medium- versus high-efficacy disease modifying therapy after low-efficacy treatment in relapsing remitting multiple sclerosis’, Brain and Behavior. 30.04.2024, 14(5). Available at: https://doi.org/10.1002/brb3.3498.

Papadopoulou, Athina et al. (2024) ‘Visual evoked potentials in multiple sclerosis: P100 latency and visual pathway damage including the lateral geniculate nucleus’, Clinical Neurophysiology. 20.02.2024, 161, pp. 122–132. Available at: https://doi.org/10.1016/j.clinph.2024.02.020.

Zatcepin, Artem et al. (2024) ‘Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients’, Zeitschrift fur Medizinische Physik, 34(2), pp. 218–230. Available at: https://doi.org/10.1016/j.zemedi.2022.11.008.

Weigel, M. et al. (2024) ‘Cerebellar Ex Vivo Magnetic Resonance Imaging at its Feasibility Limit: Up to 77-Microns Isotropic Resolution using Low-Bandwidth Balanced Steady State Free Precession (LoBa-bSSFP) Sequences and 3T Standard Equipment’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.04.18.589707.

Christensen, R.H. et al. (2024) ‘Differences in Cortical Morphology in People With and Without Migraine A Registry for Migraine (REFORM) MRI Study’, Neurology, 102(9). Available at: https://doi.org/10.1212/WNL.0000000000209305.

Li, H. et al. (2024) ‘Perivascular Spaces, Diffusivity Along Perivascular Spaces, and Free Water in Cerebral Small Vessel Disease’, Neurology, 102(9). Available at: https://doi.org/10.1212/WNL.0000000000209306.

Biesbroek, J. Matthijs et al. (2024) ‘Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients’, Alzheimer’s and Dementia, 20(4), pp. 2980–2989. Available at: https://doi.org/10.1002/alz.13765.

Gabusi, Ilaria et al. (2024) ‘Blurred streamlines: A novel representation to reduce redundancy in tractography’, Medical Image Analysis, 93. Available at: https://doi.org/10.1016/j.media.2024.103101.

Hirt, Julian et al. (2024) ‘Use of pragmatic randomized trials in multiple sclerosis: A systematic overview’, Multiple Sclerosis Journal, 30(4-5), pp. 463–478. Available at: https://doi.org/10.1177/13524585231221938.

Wenger, Antonia, Calabrese, Pasquale and Granziera, Cristina (2024) ‘Unraveling the cerebellum’s role in multiple sclerosis’, Current Opinion in Behavioral Sciences, 56. Available at: https://doi.org/10.1016/j.cobeha.2024.101357.

Zhu, Jie et al. (2024) ‘Reverse underwear sign as an indicator of alloknesis’, JDDG - Journal of the German Society of Dermatology, 22(4), pp. 574–575. Available at: https://doi.org/10.1111/ddg.15320.

Janiaud, Perrine et al. (2024) ‘MultiSCRIPT-Cycle 1- A Pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in Multiple Sclerosis: a study protocol for a randomized clinical trial’, medRxiv [Preprint]. Cold Spring Harbor Laboratory (medRxiv). Available at: https://doi.org/10.1101/2024.03.22.24304720.

Callegari, Ilaria et al. (2024) ‘Cell-binding IgM in CSF is distinctive of multiple sclerosis and targets the iron transporter SCARA5’, Brain, 147(3), pp. 839–848. Available at: https://doi.org/10.1093/brain/awad424.

Federau, Christian et al. (2024) ‘Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software’, Neuroradiology, 66(3), pp. 361–369. Available at: https://doi.org/10.1007/s00234-024-03293-3.

Gloor, Monika et al. (2024) ‘Longitudinal analysis of new multiple sclerosis lesions with magnetization transfer and diffusion tensor imaging’, European Radiology, 34(3), pp. 1680–1691. Available at: https://doi.org/10.1007/s00330-023-10173-6.

Rubinski, Anna et al. (2024) ‘Florbetapir PET-assessed demyelination is associated with faster tau accumulation in an APOE ε4-dependent manner’, European Journal of Nuclear Medicine and Molecular Imaging, 51(4), pp. 1035–1049. Available at: https://doi.org/10.1007/s00259-023-06530-8.

Vermersch, P. et al. (2024) ‘Inhibition of CD40L with Frexalimab in Multiple Sclerosis’, New England Journal of Medicine, 390(7), pp. 589–600. Available at: https://doi.org/10.1056/NEJMoa2309439.

Oechtering, Johanna et al. (2024) ‘Complement Activation Is Associated With Disease Severity in Multiple Sclerosis’, Neurology: Neuroimmunology and NeuroInflammation, 11(2). Available at: https://doi.org/10.1212/NXI.0000000000200212.

Cagol, Alessandro et al. (2024) ‘Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis’, JAMA Neurology, 81(2), pp. 143–153. Available at: https://doi.org/10.1001/jamaneurol.2023.4737.

Cagol, Alessandro et al. (2024) ‘Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis’, JAMA Neurology, 81(2), pp. 143–153. Available at: https://doi.org/10.1001/jamaneurol.2023.4737.

Custers, Emma et al. (2024) ‘Long-Term Brain Structure and Cognition Following Bariatric Surgery’, JAMA Network Open, 7(2), p. E2355380. Available at: https://doi.org/10.1001/jamanetworkopen.2023.55380.

Hu, Senbin et al. (2024) ‘Characterization of Vasogenic and Cytotoxic Brain Edema Formation After Experimental Traumatic Brain Injury by Free Water Diffusion Magnetic Resonance Imaging’, Journal of Neurotrauma, 41(3-4), pp. 393–406. Available at: https://doi.org/10.1089/neu.2023.0222.

Lizarraga, Aldana et al. (2024) ‘Similarity between structural and proxy estimates of brain connectivity’, Journal of Cerebral Blood Flow and Metabolism, 44(2), pp. 284–295. Available at: https://doi.org/10.1177/0271678X231204769.

Cagol, Alessandro et al. (2024) ‘Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS’, Neurology, 102(1). Available at: https://doi.org/10.1212/wnl.0000000000207768.

Cagol, Alessandro et al. (2024) ‘Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS’, Neurology, 102(1). Available at: https://doi.org/10.1212/wnl.0000000000207768.

Cagol, Alessandro et al. (2024) ‘Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS’, Neurology, 102(1). Available at: https://doi.org/10.1212/wnl.0000000000207768.

Vidal-Jordana, Angela et al. (2024) ‘Adding the Optic Nerve in Multiple Sclerosis Diagnostic Criteria: A Longitudinal, Prospective, Multicenter Study’, Neurology, 102(1). Available at: https://doi.org/10.1212/WNL.0000000000207805.

Arrigoni, Alberto et al. (2024) ‘Brain microstructure and connectivity in COVID-19 patients with olfactory or cognitive impairment’, NeuroImage: Clinical, 43. Available at: https://doi.org/10.1016/j.nicl.2024.103631.

Cai, M. et al. (2024) ‘Structural Network Efficiency Predicts Conversion to Incident Parkinsonism in Patients With Cerebral Small Vessel Disease’, Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 79(1). Available at: https://doi.org/10.1093/gerona/glad182.

Chen, Xinjie (2024) Advanced magnetic resonance imaging in multiple sclerosis: disentangling aging and pathology effects. Doctoral Thesis. Universität Basel .

Donnay, C. et al. (2024) ‘Super resolution using sparse sampling at portable ultra-low field MR’, Frontiers in Neurology , 15. Available at: https://doi.org/10.3389/fneur.2024.1330203.

Durrer, Alicia et al. (2024) ‘Denoising diffusion models for 3D healthy brain tissue inpainting’, in Medical Image Computing and Computer Assisted Interventions. Marrakesh (Medical Image Computing and Computer Assisted Interventions).