[FG] Translational Imaging in Neurology

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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, pp. 276–288. Available at: https://doi.org/10.1002/ana.26951.

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.

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.

Dietrich O et al. (2023) ‘Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition’, NMR in Biomedicine, 36(7), p. e4905. Available at: https://doi.org/10.1002/nbm.4905.

Duering, Marco et al. (2023) ‘Neuroimaging standards for research into small vessel disease—advances since 2013’, The Lancet Neurology, 22(7), pp. 602–618. Available at: https://doi.org/10.1016/S1474-4422(23)00131-X.

Hack RJ et al. (2023) ‘Three-tiered EGFr domain risk stratification for individualized NOTCH3-small vessel disease prediction’, Brain, 146(7), pp. 2913–2927. Available at: https://doi.org/10.1093/brain/awac486.

Jacob, Mina A. et al. (2023) ‘Cerebral Small Vessel Disease Progression and the Risk of Dementia: A 14-Year Follow-Up Study’, American Journal of Psychiatry, 180(7), pp. 508–518. Available at: https://doi.org/10.1176/appi.ajp.20220380.

Coenen M et al. (2023) ‘Strategic white matter hyperintensity locations for cognitive impairment: A multicenter lesion-symptom mapping study in 3525 memory clinic patients’, Alzheimer’s and Dementia, 19(6), pp. 2420–2432. Available at: https://doi.org/10.1002/alz.12827.