MS-PINPOINT · Publications

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2012–202667 published worksCurrent to 10 July 2026

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Study visual for the Brain paper combining MRI and serum analysis to identify multiple sclerosis types
MRI and serum subtyping · Brain, 2025

MRI and serum neurofilament light revealed two data-derived MS types.

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2026

4 works

  1. Brain atrophy rates vary with age in relapsing-remitting multiple sclerosisKaçar, S., van Nederpelt, D.R., Jelgerhuis, J.R., Coerver, E.M.E., et al., Schoonheim, M.M., Eshaghi, A., Strijbis, E.M.M.Journal of Neurology, Neurosurgery & Psychiatry, 97(7), 581-590 · doi:10.1136/jnnp-2025-337779Journal of NeurologyCollaborative
  2. Disability profiles in progressive multiple sclerosis reflect pathology distribution, independent of clinical phenotypeDe Meo, E., Jolly, A.E., Ganzetti, M., Prados Carrasco, F., et al., Craveiro, L., Eshaghi, A., Cole, J., et al., Barkhof, F.Brain Communications, 8(3), fcag162 · doi:10.1093/braincomms/fcag162Brain CommunicationsCollaborative
  3. Moving artificial intelligence from research to real-world clinical use in neurologyTeo, J.T., Eshaghi, A., Richardson, M.P., Jehi, L., Beniczky, S.Nature Reviews Neurology · doi:10.1038/s41582-026-01225-8 · Review.Nature Reviews NeurologyCollaborative
  4. Paramagnetic Rim Lesions in Pediatric Multiple Sclerosis and Their Association With Brain Tissue AtrophyNistri, R., De Meo, E., Kim, N.N., Pozzilli, V., et al., Mankad, K., Eshaghi, A., Barkhof, F., et al., Hacohen, Y.Neurology: Neuroimmunology & Neuroinflammation, 13(1), e200506 · doi:10.1212/NXI.0000000000200506Neurology: Neuroimmunology & NeuroinflammationCollaborative

2025

7 works

  1. Combined magnetic resonance imaging and serum analysis reveals distinct multiple sclerosis typesWillard, C., Puglisi, L., Ravi, D., Dmitrieva, M., et al., Piani-Meier, D., Eshaghi, A.Brain, 148(12), 4578-4591 · doi:10.1093/brain/awaf331BrainGroup-led
  2. Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis researchGoebl, P., Wingrove, J., Abdelmannan, O., Brito Vega, B., et al., Ciccarelli, O., Eshaghi, A.Nature Communications, 16(1), 3149 · doi:10.1038/s41467-025-58274-8Nature CommunicationsGroup-led
  3. Effectiveness of Disease-Modifying Therapies in Patients With Late-Onset Relapsing-Remitting Multiple SclerosisAl-Araji, S., Moccia, M., Jha, A., Zhang, L., Eshaghi, A., Kanber, B., et al., Ciccarelli, O.Neurology, 105(4), e213967 · doi:10.1212/WNL.0000000000213967NeurologyCollaborative
  4. Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysisLageman, S.B., Jolly, A., Sahi, N., Prados, F., Kanber, B., Eshaghi, A., Tur, C., et al., Chard, D.T.Journal of Neurology, 272(2), 142 · doi:10.1007/s00415-024-12795-2Journal of NeurologyCollaborative
  5. Optical coherence tomography in secondary progressive multiple sclerosis: cross-sectional and longitudinal exploratory analysis from the MS-SMART randomised controlled trialDe Angelis, F., Cameron, J.R., Eshaghi, A., Parker, R., et al., MS-SMART trial investigatorsJournal of Neurology, Neurosurgery & Psychiatry, 96(7), 647-654 · doi:10.1136/jnnp-2024-334801Journal of NeurologyCollaborative
  6. Slowly Expanding Lesions in Pediatric-Onset Multiple SclerosisPozzilli, V., Prados Carrasco, F., Kim, N., Abdel-Mannan, O., et al., Rossor, T., Eshaghi, A., Barkhof, F., et al., Hacohen, Y.JAMA Neurology, 82(11), 1197-1199 · doi:10.1001/jamaneurol.2025.2619JAMA NeurologyCollaborative
  7. Understanding Mechanisms of Whole Brain and Regional Grey Matter Atrophy in Children With MOGADDe Meo, E., Nistri, R., Eyre, M., Hemingway, C., et al., Barkhof, F., Eshaghi, A., Ciccarelli, O., Hacohen, Y.Annals of Clinical and Translational Neurology, 12(10), 1971-1982 · doi:10.1002/acn3.70123Annals of Clinical and Translational NeurologyCollaborative

2024

6 works

  1. An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial trainingRavi, D., Alzheimer’s Disease Neuroimaging Initiative, Barkhof, F., Alexander, D.C., Puglisi, L., Parker, G.J.M., Eshaghi, A.Medical Image Analysis, 91, 103033 · doi:10.1016/j.media.2023.103033Medical Image AnalysisGroup-led
  2. Longitudinal network-based brain grey matter MRI measures are clinically relevant and sensitive to treatment effects in multiple sclerosisColato, E., Stutters, J., Narayanan, S., Arnold, D.L., et al., Ciccarelli, O., Eshaghi, A., Chard, D.T.Brain Communications, 6(4), fcae234 · doi:10.1093/braincomms/fcae234 · Joint senior author.Brain CommunicationsGroup-led
  3. Aging is associated with reduced inflammatory disease activity independent of disease duration in relapsing multiple sclerosis trial populationsCoerver, E.M., Kaçar, S., Ciccarelli, O., Sormani, M.P., et al., Killestein, J., Eshaghi, A., Uitdehaag, B.M., Strijbis, E.M.Multiple Sclerosis Journal, 30(10), 1296-1308 · doi:10.1177/13524585241272938Multiple Sclerosis JournalCollaborative
  4. Brain reserve and physical disability in secondary progressive multiple sclerosisJohn, N., Li, Y., De Angelis, F., Stutters, J., Prados Carrasco, F., Eshaghi, A., Doshi, A., et al., Bastow, R.BMJ Neurology Open, 6(2), e000670 · doi:10.1136/bmjno-2024-000670BMJ Neurology OpenCollaborative
  5. QUANTIFYING WHITE MATTER HYPERINTENSITY AND BRAIN VOLUMES IN HETEROGENEOUS CLINICAL AND LOW-FIELD PORTABLE MRILaso, P., Cerri, S., Sorby-Adams, A., Guo, J., et al., Wolterink, J.M., Eshaghi, A., Barkhof, F., et al., Iglesias, J.E.IEEE International Symposium on Biomedical Imaging, 2024 · doi:10.1109/isbi56570.2024.10635502 · Conference proceeding.IEEE International Symposium on Biomedical ImagingCollaborative
  6. Using the Progression Independent of Relapse Activity Framework to Unveil the Pathobiological Foundations of Multiple SclerosisCiccarelli, O., Barkhof, F., Calabrese, M., De Stefano, N., Eshaghi, A., Filippi, M., et al., as the MAGNIMS Study GroupNeurology, 103(1), e209444 · doi:10.1212/WNL.0000000000209444 · Review.NeurologyCollaborative

2023

7 works

  1. Networks of microstructural damage predict disability in multiple sclerosisColato, E., Prados, F., Stutters, J., Bianchi, A., et al., Chard, D.T., Eshaghi, A.Journal of Neurology, Neurosurgery & Psychiatry, 94(12), 992-1003 · doi:10.1136/jnnp-2022-330203Journal of NeurologyGroup-led
  2. Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical PracticeRocca, M.A., Margoni, M., Battaglini, M., Eshaghi, A., Iliff, J., et al., Filippi, M.Radiology, 307(5), e221512 · doi:10.1148/radiol.221512 · Review.RadiologyCollaborative
  3. HLA-DRB1*1501 influences long-term disability progression and tissue damage on MRI in relapse-onset multiple sclerosisBrownlee, W.J., Tur, C., Manole, A., Eshaghi, A., Prados, F., Miszkiel, K.A., Wheeler-Kingshott, C.A.G., Houlden, H., Ciccarelli, O.Multiple Sclerosis Journal, 29(3), 333-342 · doi:10.1177/13524585221130941Multiple Sclerosis JournalCollaborative
  4. The temporal event-based model: Learning event timelines in progressive diseasesWijeratne, P.A., Eshaghi, A., Scotton, W.J., Kohli, M., et al., Alexander, D.C.Imaging Neuroscience, 1, 1-19 · doi:10.1162/imag_a_00010Imaging NeuroscienceCollaborative
  5. Deep Learning Algorithms for Brain Imaging: From Black Box to Clinical Toolbox?Haight, T.J., Eshaghi, A.Neurology, 100(12), 549-550 · doi:10.1212/WNL.0000000000206808 · Editorial or commentary.NeurologyEditorial
  6. Predicting Cognitive Decline in Primary Progressive Aphasia: Can Brain Networks Be Crystal Balls?Cappa, S.F., Eshaghi, A.Neurology, 100(3), 111-112 · doi:10.1212/WNL.0000000000201494 · Editorial or commentary.NeurologyEditorial
  7. DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-IdentificationPuglisi, L., Barkhof, F., Alexander, D.C., Parker, G.J., Eshaghi, A., Ravì, D.arXiv · doi:10.48550/arxiv.2302.13057 · Preprint; not peer reviewed.arXivPreprint

2022

9 works

  1. Assessing Neurofilaments as Biomarkers of Neuroprotection in Progressive Multiple Sclerosis: From the MS-STAT Randomized Controlled TrialWilliams, T.E., Holdsworth, K.P., Nicholas, J.M., Eshaghi, A., Katsanouli, T., et al., Chataway, J.Neurology: Neuroimmunology & Neuroinflammation, 9(2), e1130 · doi:10.1212/NXI.0000000000001130Neurology: Neuroimmunology & NeuroinflammationCollaborative
  2. B Cells in the CNS at Postmortem Are Associated With Worse Outcome and Cell Types in Multiple SclerosisMoccia, M., Haider, L., Eshaghi, A., van de Pavert, S.H.P., Brescia Morra, V., Patel, A., Wheeler-Kingshott, C.A.M., Barkhof, F., Ciccarelli, O.Neurology: Neuroimmunology & Neuroinflammation, 9(1), e1108 · doi:10.1212/NXI.0000000000001108Neurology: Neuroimmunology & NeuroinflammationCollaborative
  3. Designing Multi-arm Multistage Adaptive Trials for Neuroprotection in Progressive Multiple SclerosisLi, V., Leurent, B., Barkhof, F., Braisher, M., et al., Ciccarelli, O., Eshaghi, A., Gray, E., et al., Chataway, J.Neurology, 98(18), 754-764 · doi:10.1212/WNL.0000000000200604NeurologyCollaborative
  4. Serum neurofilament light and MRI predictors of cognitive decline in patients with secondary progressive multiple sclerosis: Analysis from the MS-STAT randomised controlled trialWilliams, T., Tur, C., Eshaghi, A., Doshi, A., et al., Chataway, J.Multiple Sclerosis Journal, 28(12), 1913-1926 · doi:10.1177/13524585221114441Multiple Sclerosis JournalCollaborative
  5. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS techniqueTur, C., Grussu, F., De Angelis, F., Prados, F., et al., Calvi, A., Eshaghi, A., Charalambous, T., et al., Gandini Wheeler-Kingshott, C.A.M.NeuroImage: Clinical, 33, 102904 · doi:10.1016/j.nicl.2021.102904NeuroImage: ClinicalCollaborative
  6. Staging and stratifying cognitive dysfunction in multiple sclerosisWojcik, C., Fuchs, T.A., Tran, H., Dwyer, M.G., et al., Zivadinov, R., Eshaghi, A., Benedict, R.H.Multiple Sclerosis Journal, 28(3), 463-471 · doi:10.1177/13524585211011390Multiple Sclerosis JournalCollaborative
  7. Machine Learning Utility for Optical Coherence Tomography in Multiple Sclerosis: Is the Future Now?Toosy, A.T., Eshaghi, A.Neurology, 99(11), 453-454 · doi:10.1212/WNL.0000000000200862 · Editorial or commentary.NeurologyEditorial
  8. Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?Eshaghi, A., Buckley, R.F.Neurology, 98(24), 999-1000 · doi:10.1212/WNL.0000000000200721 · Editorial or commentary.NeurologyEditorial
  9. Predicting personalised risk of disability worsening in multiple sclerosis with machine learningEshaghi, A., Wijeratne, P.A., Oxtoby, N.P., Arnold, D.L., et al., Ciccarelli, O.medRxiv · doi:10.1101/2022.02.03.22270364 · Preprint; not peer reviewed.medRxivPreprint

2021

10 works

  1. Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumesColato, E., Stutters, J., Tur, C., Narayanan, S., et al., Chard, D.T., Eshaghi, A.Journal of Neurology, Neurosurgery & Psychiatry, 92(9), 995-1006 · doi:10.1136/jnnp-2020-325610Journal of NeurologyGroup-led
  2. Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI dataEshaghi, A., Young, A.L., Wijeratne, P.A., Prados, F., et al., Ciccarelli, O.Nature Communications, 12(1), 2078 · doi:10.1038/s41467-021-22265-2Nature CommunicationsGroup-led
  3. Linear brain atrophy measures in multiple sclerosis and clinically isolated syndromes: a 30-year follow-upHaider, L., Chung, K., Birch, G., Eshaghi, A., Mangesius, S., et al., Chard, D.Journal of Neurology, Neurosurgery & Psychiatry, 92(8), 839-846 · doi:10.1136/jnnp-2020-325421Journal of NeurologyCollaborative
  4. Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?Groppa, S., Gonzalez-Escamilla, G., Eshaghi, A., Meuth, S.G., Ciccarelli, O.Brain Communications, 3(4), fcab237 · doi:10.1093/braincomms/fcab237Brain CommunicationsCollaborative
  5. Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal DataYoung, A.L., Vogel, J.W., Aksman, L.M., Wijeratne, P.A., Eshaghi, A., Oxtoby, N.P., Williams, S.C.R., Alexander, D.C., Alzheimer’s Disease Neuroimaging InitiativeFrontiers in Artificial Intelligence, 4, 613261 · doi:10.3389/frai.2021.613261Frontiers in Artificial IntelligenceCollaborative
  6. pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithmAksman, L.M., Wijeratne, P.A., Oxtoby, N.P., Eshaghi, A., Shand, C., Altmann, A., Alexander, D.C., Young, A.L.SoftwareX, 16, 100811 · doi:10.1016/j.softx.2021.100811 · Software article.SoftwareXCollaborative
  7. The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-upMarinescu, R.V., Oxtoby, N.P., Young, A.L., Bron, E.E., et al., Fox, N.C., Eshaghi, A., Toni, T., et al., The Alzheimer's Disease Neuroimaging InitiativeMachine Learning for Biomedical Imaging, 1(December 2021), 1-60 · doi:10.59275/j.melba.2021-2dccMachine Learning for Biomedical ImagingCollaborative
  8. Multiple Sclerosis in Children and Adults: Does Age Matter?Hacohen, Y., Eshaghi, A.Neurology, 97(20), 929-930 · doi:10.1212/WNL.0000000000012866 · Editorial or commentary.NeurologyEditorial
  9. Spatial Distribution of Tau and β-Amyloid Pathologies and Their Role in Different Alzheimer Disease PhenotypesPalmqvist, S., Eshaghi, A.Neurology, 96(5), 191-192 · doi:10.1212/WNL.0000000000011272 · Editorial or commentary.NeurologyEditorial
  10. Towards an objective classification of multiple sclerosisEshaghi, A.Multiple Sclerosis Journal, 27(8), 1151-1152 · doi:10.1177/1352458520975325 · Editorial or commentary.Multiple Sclerosis JournalEditorial

2020

7 works

  1. Clinical relevance of cortical network dynamics in early primary progressive MSTur, C., Kanber, B., Eshaghi, A., Altmann, D.R., et al., Ciccarelli, O.Multiple Sclerosis Journal, 26(4), 442-456 · doi:10.1177/1352458519831400Multiple Sclerosis JournalCollaborative
  2. Longitudinal Assessment of Multiple Sclerosis with the Brain-Age ParadigmCole, J.H., Raffel, J., Friede, T., Eshaghi, A., Brownlee, W.J., et al., MAGNIMS study groupAnnals of Neurology, 88(1), 93-105 · doi:10.1002/ana.25746Annals of NeurologyCollaborative
  3. Magnetisation transfer ratio abnormalities in primary and secondary progressive multiple sclerosisBrown, J.W.L., Chowdhury, A., Kanber, B., Prados Carrasco, F., Eshaghi, A., Sudre, C.H., et al., Chard, D.T.Multiple Sclerosis Journal, 26(6), 679-687 · doi:10.1177/1352458519841810Multiple Sclerosis JournalCollaborative
  4. Pathologic correlates of the magnetization transfer ratio in multiple sclerosisMoccia, M., van de Pavert, S., Eshaghi, A., Haider, L., et al., Ciccarelli, O.Neurology, 95(22), e2965-e2976 · doi:10.1212/WNL.0000000000010909NeurologyCollaborative
  5. Periventricular magnetisation transfer ratio abnormalities in multiple sclerosis improve after alemtuzumabBrown, J.W.L., Prados Carrasco, F., Eshaghi, A., Sudre, C.H., et al., Chard, D.T.Multiple Sclerosis Journal, 26(9), 1093-1101 · doi:10.1177/1352458519852093Multiple Sclerosis JournalCollaborative
  6. Robust Markers and Sample Sizes for Multicenter Trials of Huntington DiseaseWijeratne, P.A., Johnson, E.B., Eshaghi, A., Aksman, L., et al., Alexander, D.C.Annals of Neurology, 87(5), 751-762 · doi:10.1002/ana.25709Annals of NeurologyCollaborative
  7. First approved treatment in children with multiple sclerosis slows brain atrophyEshaghi, A.Journal of Neurology, Neurosurgery & Psychiatry, 91(5), 454 · doi:10.1136/jnnp-2019-322519 · Editorial or commentary.Journal of NeurologyEditorial

2019

7 works

  1. Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosisEshaghi, A., Kievit, R.A., Prados, F., Sudre, C.H., et al., Ciccarelli, O.Proceedings of the National Academy of Sciences of the USA, 116(22), 11020-11027 · doi:10.1073/pnas.1818978116Proceedings of the National Academy of Sciences of the USAGroup-led
  2. BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processesMarinescu, R.V., Eshaghi, A., Alexander, D.C., Golland, P.Multimodal Brain Image Analysis / Mathematical Foundations of Computational Anatomy (MBIA/MFCA), 11846, 112-120 · doi:10.1007/978-3-030-33226-6_13 · Conference proceeding.Multimodal Brain Image Analysis / Mathematical Foundations of Computational Anatomy (MBIA/MFCA)Collaborative
  3. Differences in topological progression profile among neurodegenerative diseases from imaging dataGarbarino, S., Lorenzi, M., Oxtoby, N.P., Vinke, E.J., Marinescu, R.V., Eshaghi, A., Ikram, M.A., et al., Alzheimer’s Disease Neuroimaging InitiativeeLife, 8, e49298 · doi:10.7554/eLife.49298eLifeCollaborative
  4. Disease Knowledge Transfer across Neurodegenerative DiseasesMarinescu, R.V., Lorenzi, M., Blumberg, S.B., Young, A.L., et al., Oxtoby, N.P., Eshaghi, A., Yong, K.X., et al., Alexander, D.C.Medical Image Computing and Computer-Assisted Intervention (MICCAI), 11765, 860-868 · doi:10.1007/978-3-030-32245-8_95 · Conference proceeding.Medical Image Computing and Computer-Assisted Intervention (MICCAI)Collaborative
  5. DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disordersMarinescu, R.V., Eshaghi, A., Lorenzi, M., Young, A.L., Oxtoby, N.P., Garbarino, S., Crutch, S.J., Alexander, D.C., Alzheimer's Disease Neuroimaging InitiativeNeuroImage, 192, 166-177 · doi:10.1016/j.neuroimage.2019.02.053NeuroImageCollaborative
  6. Early imaging predictors of long-term outcomes in relapse-onset multiple sclerosisBrownlee, W.J., Altmann, D.R., Prados, F., Miszkiel, K.A., Eshaghi, A., Gandini Wheeler-Kingshott, C.A.M., Barkhof, F., Ciccarelli, O.Brain, 142(8), 2276-2287 · doi:10.1093/brain/awz156BrainCollaborative
  7. Evolution of regional brain atrophy in children with multiple sclerosis: Gray mattersYeh, E.A., Eshaghi, A.Neurology, 92(15), 694-695 · doi:10.1212/WNL.0000000000007254 · Editorial or commentary.NeurologyEditorial

2018

4 works

  1. Deep gray matter volume loss drives disability worsening in multiple sclerosisEshaghi, A., Prados, F., Brownlee, W.J., Altmann, D.R., et al., MAGNIMS study groupAnnals of Neurology, 83(2), 210-222 · doi:10.1002/ana.25145Annals of NeurologyGroup-led
  2. Progression of regional grey matter atrophy in multiple sclerosisEshaghi, A., Marinescu, R.V., Young, A.L., Firth, N.C., et al., Ciccarelli, O.Brain, 141(6), 1665-1677 · doi:10.1093/brain/awy088BrainGroup-led
  3. Influence of nationality on the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS)Smerbeck, A., Benedict, R.H.B., Eshaghi, A., Vanotti, S., Spedo, C., Blahova Dusankova, J., Sahraian, M.A., Marques, V.D., Langdon, D.The Clinical Neuropsychologist, 32(1), 54-62 · doi:10.1080/13854046.2017.1354071The Clinical NeuropsychologistCollaborative
  4. Structural cortical network reorganization associated with early conversion to multiple sclerosisTur, C., Eshaghi, A., Altmann, D.R., Jenkins, T.M., et al., Toosy, A.T.Scientific Reports, 8(1), 10715 · doi:10.1038/s41598-018-29017-1Scientific ReportsCollaborative

2017

1 work

  1. Author response: Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random forestEshaghi, A., Ciccarelli, O.Neurology, 88(19), 1875 · doi:10.1212/WNL.0000000000003930 · Author response.NeurologyGroup-led

2016

1 work

  1. Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random forestEshaghi, A., Wottschel, V., Cortese, R., Calabrese, M., Sahraian, M.A., Thompson, A.J., Alexander, D.C., Ciccarelli, O.Neurology, 87(23), 2463-2470 · doi:10.1212/WNL.0000000000003395NeurologyGroup-led

2015

2 works

  1. Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosisEshaghi, A., Riyahi-Alam, S., Saeedi, R., Roostaei, T., et al., Sahraian, M.A.NeuroImage: Clinical, 7, 306-14 · doi:10.1016/j.nicl.2015.01.001NeuroImage: ClinicalGroup-led
  2. The role of cerebellar abnormalities in neuromyelitis optica--a comparison with multiple sclerosis and healthy controlsWeier, K., Eshaghi, A., Magon, S., Andelova, M., Radue, E.W., Kappos, L., Azimi, A.R., Sahraian, M.A., Sprenger, T.Multiple Sclerosis Journal, 21(6), 757-66 · doi:10.1177/1352458514554051Multiple Sclerosis JournalCollaborative

2014

2 works

  1. Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosisEshaghi, A., Bodini, B., Ridgway, G.R., García-Lorenzo, D., Tozer, D.J., Sahraian, M.A., Thompson, A.J., Ciccarelli, O.NeuroImage, 86, 257-64 · doi:10.1016/j.neuroimage.2013.09.059NeuroImageGroup-led
  2. Resting State Functional Connectivity Analysis of Multiple Sclerosis and Neuromyelitis Optica Using Graph TheoryEqlimi, E., Alam, N.R., Sahraian, M.A., Eshaghi, A., Alam, S.R., Ghanaati, H., Firouznia, K., Karami, E.IFMBE Proceedings, 206-209 · doi:10.1007/978-3-319-00846-2_51 · Conference proceeding.IFMBE ProceedingsCollaborative

2012

2 works

  1. Validity and reliability of a Persian translation of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS)Eshaghi, A., Riyahi-Alam, S., Roostaei, T., Haeri, G., et al., Sahraian, M.A.The Clinical Neuropsychologist, 26(6), 975-84 · doi:10.1080/13854046.2012.694912The Clinical NeuropsychologistGroup-led
  2. Progressive multifocal leukoencephalopathy: a review of the neuroimaging features and differential diagnosisSahraian, M.A., Radue, E.W., Eshaghi, A., Besliu, S., Minagar, A.European Journal of Neurology, 19(8), 1060-9 · doi:10.1111/j.1468-1331.2011.03597.x · Review.European Journal of NeurologyCollaborative

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