[FG] Translational Imaging in Neurology

Ocampo-Pineda, M. et al. (2025) ‘White Matter Tract Degeneration in Multiple Sclerosis Patients With Progression Independent of Relapse Activity’, Neurology Neuroimmunology & 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.

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, 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, pp. 483–498. Available at: https://doi.org/10.1002/ana.27136.

Cagol, A. and Montobbio, N. (2025) ‘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.

Gordaliza, P.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, 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 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024. Marrakesh, Morocco: Springer Science and Business Media Deutschland GmbH (4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024), pp. 87–97. Available at: https://doi.org/10.1007/978-3-031-72744-3_9.

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, pp. jnnp–2024–334264. Available at: https://doi.org/10.1136/jnnp-2024-334264.

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 et al. (2025) ‘Standardized Definition of Progression Independent of Relapse Activity (PIRA) in Relapsing-Remitting Multiple Sclerosis’, JAMA Neurology [Preprint]. Available at: https://doi.org/10.1001/jamaneurol.2025.0495.

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.

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

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, pp. 8412–8428. Available at: https://doi.org/10.1002/alz.14274.

Petersen, Marvin et al. (2024) ‘Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment’, Brain, 147, 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.

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. 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, pp. 916–924. Available at: https://doi.org/10.1177/17474930241252530.

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.

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

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

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, 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, 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.

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, 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, 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.

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.

Janssen, Esther et al. (2024) ‘Visit-to-visit blood pressure variability and progression of white matter hyperintensities over 14 years’, Blood Pressure. 13.03.2024, 33(1). Available at: https://doi.org/10.1080/08037051.2024.2314498.

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.

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.

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).

Granziera C (2024) ‘Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling’, bioRxiv [Preprint]. Available at: https://www.biorxiv.org/content/10.1101/2024.09.17.613272v1.

Harrison, Daniel M. et al. (2024) ‘The use of 7T MRI in multiple sclerosis: review and consensus statement from the North American Imaging in Multiple Sclerosis Cooperative’, Brain Communications, 6(5). Available at: https://doi.org/10.1093/braincomms/fcae359.

He, Chentao et al. (2024) ‘Temporal evolution of microstructural integrity in cerebellar peduncles in Parkinson’s disease: Stage-specific patterns and dopaminergic correlates’, NeuroImage: Clinical, 44. Available at: https://doi.org/10.1016/j.nicl.2024.103679.

Spagnolo, Federico et al. (2024) ‘Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study’, Frontiers in Neuroimaging, 3. Available at: https://doi.org/10.3389/fnimg.2024.1359589.

Voorter, Paulien H.M. et al. (2024) ‘Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI’, Stroke [Preprint]. Available at: https://doi.org/10.1161/STROKEAHA.124.047910.

Galbusera, Riccardo et al. (2023) ‘Characteristics, Prevalence, and Clinical Relevance of Juxtacortical Paramagnetic Rims in Patients With Multiple Sclerosis’, Neurology, 102(3), p. e207966. Available at: https://doi.org/10.1212/WNL.0000000000207966.

Galbusera, Riccardo et al. (2023) ‘Characteristics, Prevalence, and Clinical Relevance of Juxtacortical Paramagnetic Rims in Patients With Multiple Sclerosis’, Neurology, 102(3). Available at: https://doi.org/10.1212/wnl.0000000000207966.

Abdelhak, Ahmed et al. (2023) ‘Neurofilament Light Chain Elevation and Disability Progression in Multiple Sclerosis’, JAMA Neurology, 80(12), pp. 1317–1325. Available at: https://doi.org/10.1001/jamaneurol.2023.3997.

De Kort, Floor A.S. et al. (2023) ‘White Matter Hyperintensity Volume and Poststroke Cognition: An Individual Patient Data Pooled Analysis of 9 Ischemic Stroke Cohort Studies’, Stroke, 54(12), pp. 3021–3029. Available at: https://doi.org/10.1161/STROKEAHA.123.044297.

Donnay, C. et al. (2023) ‘Pseudo-Label Assisted nnU-Net enables automatic segmentation of 7T MRI from a single acquisition’, Frontiers in Neuroimaging, 2. Available at: https://doi.org/10.3389/fnimg.2023.1252261.

Overeem, Lucas Hendrik et al. (2023) ‘Serum tau protein elevation in migraine: a cross-sectional case–control study’, Journal of Headache and Pain, 24(1). Available at: https://doi.org/10.1186/s10194-023-01663-5.

Woelfle, Tim et al. (2023) ‘Smartwatch-derived sleep and heart rate measures complement step counts in explaining established metrics of MS severity’, Multiple Sclerosis and Related Disorders, 80. Available at: https://doi.org/10.1016/j.msard.2023.105104.

Müller, Jannis et al. (2023) ‘Harmonizing Definitions for Progression Independent of Relapse Activity inMultiple Sclerosis A Systematic Review’, JAMA Neurology, 80(11), pp. 1232–1245. Available at: https://doi.org/10.1001/jamaneurol.2023.3331.

Galbusera, Riccardo et al. (2023) ‘Postmortem quantitative MRI disentangles histological lesion types in multiple sclerosis’, Brain Pathology, 33(6). Available at: https://doi.org/10.1111/bpa.13136.

Kopczak, Anna et al. (2023) ‘Effect of blood pressure-lowering agents on microvascular function in people with small vessel diseases (TREAT-SVDs): a multicentre, open-label, randomised, crossover trial’, The Lancet Neurology, 22(11), pp. 991–1004. Available at: https://doi.org/10.1016/S1474-4422(23)00293-4.

Li, H. et al. (2023) ‘Regional cortical thinning, demyelination and iron loss in cerebral small vessel disease’, Brain, 146(11), pp. 4659–4673. Available at: https://doi.org/10.1093/brain/awad220.

Sanchez-Catasus, C.A., Batista-García-Ramó, K. and Melie-Garcia, L. (2023) ‘Brain connectivity by single-photon emission computed tomography and graph theory: a mini-review’, Academia Medicine [Preprint]. Available at: https://doi.org/10.20935/acadmed6134.

Ayroza Galvão Ribeiro Gomes, Ana Beatriz et al. (2023) ‘Immunoglobulin A Antibodies Against Myelin Oligodendrocyte Glycoprotein in a Subgroup of Patients with Central Nervous System Demyelination’, JAMA Neurology, 80(9), pp. 989–995. Available at: https://doi.org/10.1001/jamaneurol.2023.2523.

Rudilosso, Salvatore et al. (2023) ‘Blood-brain barrier leakage hotspots collocating with brain lesions due to sporadic and monogenic small vessel disease’, Journal of Cerebral Blood Flow and Metabolism, 43(9), pp. 1490–1502. Available at: https://doi.org/10.1177/0271678X231173444.

Todea, Alexandra Ramona et al. (2023) ‘A Multicenter Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients’, Journal of Magnetic Resonance Imaging, 58(3), pp. 864–876. Available at: https://doi.org/10.1002/jmri.28618.

Girard, Gabriel et al. (2023) ‘Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge’, NeuroImage, 277. Available at: https://doi.org/10.1016/j.neuroimage.2023.120231.

De Kort, A.M. et al. (2023) ‘Correction: Decreased Cerebrospinal Fluid Amyloid β 38, 40, 42, and 43 Levels in Sporadic and Hereditary Cerebral Amyloid Angiopathy (Annals of Neurology, (2023), 93, 6, (1173-1186), 10.1002/ana.26610)’, Annals of Neurology, 94(1), pp. 208–209. Available at: https://doi.org/10.1002/ana.26675.