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Increased PK11195 PET binding in the cortex of patients with MS correlates with disability
Open accessAbstract
OBJECTIVE: Activated microglia are thought to play a major role in cortical gray matter (GM) demyelination in multiple sclerosis (MS). Our objective was to evaluate microglial activation in cortical GM of patients with MS in vivo and to explore its relationship to measures of disability. METHODS: Using PET and optimized modeling and segmentation procedures, we investigated cortical (11)C-PK11195 (PK11195) binding in patients with relapsing-remitting MS (RRMS), patients with secondary progressive MS (SPMS), and healthy controls. Disability was assessed with the Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Impact Scale (MSIS-29). RESULTS: Patients with MS showed increased cortical GM PK11195 binding relative to controls, which was multifocal and highest in the postcentral, middle frontal, anterior orbital, fusiform, and parahippocampal gyri. Patients with SPMS also showed additional increases in precentral, superior parietal, lingual and anterior superior, medial and inferior temporal gyri. Total cortical GM PK11195 binding correlated with EDSS scores, with a stronger correlation for the subgroup of patients with SPMS. In patients with SPMS, PK11195 binding also correlated with MSIS-29 scores. No correlation with disability measures was seen for PK11195 binding in white matter. Higher EDSS scores correlated with higher levels of GM PK11195 binding in the postcentral gyrus for patients with RRMS and in precentral gyrus for those with SPMS. CONCLUSIONS: Microglial activation in cortical GM of patients with MS can be assessed in vivo. The distribution is not uniform and shows a relationship to clinical disability. We speculate that the increased PK11195 binding corresponds to enhanced microglial activation described in postmortem SPMS cortical GM.
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“While populations of patients undoubtedly show heterogeneity of grey matter pathology, our observations here raise questions about the interpretation of widespread TSPO PET signal in the cortical region as arising from cortical lesions (Politis et al., 2012), as opposed to meningeal (Howell et al., 2011) or leukocortical inflammation.”
From A quantitative neuropathological assessment of translocator protein expression in multiple sclerosis (2019) · cites this paper as Politis et al., 2012
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Cites
Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo
Nimmerjahn, A., Kirchhoff, F., & Helmchen, F. (2005) · Science · doi:10.1126/science.1110647 · Cited by 5,827
ATP mediates rapid microglial response to local brain injury in vivo
Davalos, D., Grutzendler, J., Yang, G., Kim, J. V., Zuo, Y., Jung, S., Littman, D. R., Dustin, M. L., & Gan, W.-B. (2005) · Nature Neuroscience · doi:10.1038/nn1472 · Cited by 3,913
Cortical demyelination and diffuse white matter injury in multiple sclerosis
Kutzelnigg, A., Lucchinetti, C. F., Stadelmann, C., Brück, W., Rauschka, H., Bergmann, M., Schmidbauer, M., Parisi, J. E., & Lassmann, H. (2005) · Brain · doi:10.1093/brain/awh641 · Cited by 1,836
Magliozzi, R., Howell, O. W., Vora, A., Serafini, B., Nicholas, R. S., Puopolo, M., Reynolds, R., & Aloisi, F. (2006) · Brain · doi:10.1093/brain/awm038 · Cited by 1,492
Self-citationPeterson, J. W., Bö, L., Mörk, S., Chang, A., & Trapp, B. D. (2001) · Annals of Neurology · doi:10.1002/ana.1123 · Cited by 1,403
Hammers, A., Allom, R. J., Koepp, M. J., Free, S. L., Myers, R., Lemieux, L., Mitchell, T. N., Brooks, D. J., & Duncan, J. S. (2003) · Human Brain Mapping · doi:10.1002/hbm.10123 · Cited by 1,270
Relapsing and remitting multiple sclerosis: Pathology of the newly forming lesion
Barnett, M. H., & Prineas, J. W. (2004) · Annals of Neurology · doi:10.1002/ana.20016 · Cited by 1,184
Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model
Gunn, R. N., Lammertsma, A. A., Hume, S. P., & Cunningham, V. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0303 · Cited by 1,085
Alemtuzumab vs. Interferon Beta-1a in Early Multiple Sclerosis
The CAMMS Trial Investigators (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802670 · Cited by 1,021
Mitochondrial dysfunction as a cause of axonal degeneration in multiple sclerosis patients
Dutta, R., McDonough, J., Yin, X., Peterson, J. W., Chang, A., Torres, T., Gudz, T. I., Macklin, W. B., Lewis, D., Fox, R., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20736 · Cited by 881
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Pathogenesis of multiple sclerosis: insights from molecular and metabolic imaging
Ciccarelli, O., Barkhof, F., Bodini, B., Stefano, N. D., Golay, X., Nicolay, K., Pelletier, D., Pouwels, P. J. W., Smith, S. A., Wheeler‐Kingshott, C. A. M. G., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70101-2 · Cited by 253
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Bagnato, F. R., Sati, P., Hemond, C. C., Elliott, C., Gauthier, S. A., Harrison, D. M., Mainero, C., Oh, J., Pitt, D., Shinohara, R. T., et al. (2024) · Brain · doi:10.1093/brain/awae013 · Cited by 207
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Kaunzner, U. W., Kang, Y., Zhang, S., Morris, E., Yao, Y., Pandya, S., Hurtado Rua, S. M., Park, C., Gillen, K. M., Nguyen, T. D., et al. (2019) · Brain · doi:10.1093/brain/awy296 · Cited by 199
Multiple Sclerosis and T Lymphocytes: An Entangled Story
Legroux, L., & Arbour, N. (2015) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-015-9614-0 · Cited by 206
Dupont, A.-C., Largeau, B., Santiago Ribeiro, M., Guilloteau, D., Tronel, C., & Arlicot, N. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18040785 · Cited by 182
Myeloid cells — targets of medication in multiple sclerosis
Mishra, M. K., & Yong, V. W. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.110 · Cited by 190
Mechanisms of Neurodegeneration and Axonal Dysfunction in Progressive Multiple Sclerosis
Correale, J., Marrodan, M., & Ysrraelit, M. C. (2019) · Biomedicines · doi:10.3390/biomedicines7010014 · Cited by 167
Rissanen, E., Tuisku, J., Rokka, J., Paavilainen, T., Parkkola, R., Rinne, J. O., & Airas, L. (2014) · Journal of Nuclear Medicine · doi:10.2967/jnumed.113.131698 · Cited by 171
Neuroimaging Biomarkers of Neurodegenerative Diseases and Dementia
Risacher, S. L., & Saykin, A. J. (2013) · Seminars in Neurology · doi:10.1055/s-0033-1359312 · Cited by 155
Colasanti, A., Guo, Q., Giannetti, P., Wall, M. B., Newbould, R. D., Bishop, C., Onega, M., Nicholas, R. S., Ciccarelli, O., Muraro, P. A., et al. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.022 · Cited by 148
Self-citationThe role of immune cells, glia and neurons in white and gray matter pathology in multiple sclerosis
Mallucci, G., Peruzzotti‐Jametti, L., Bernstock, J. D., & Pluchino, S. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.02.003 · Cited by 153
Kamma, E., Lasisi, W. O., Libner, C. D., Ng, H. S., & Plemel, J. R. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02408-y · Cited by 157
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Chen, S., Zhang, H., Pu, H., Wang, G., Li, W., Leak, R. K., Chen, J., Liou, A. K. F., & Hu, X. (2014) · Scientific Reports · doi:10.1038/srep07458 · Cited by 144
Brain TSPO-PET predicts later disease progression independent of relapses in multiple sclerosis
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Nutma, E., Stephenson, J. A., Gorter, R. P., de Bruin, J., Boucherie, D. M., Donat, C. K., Breur, M., van der Valk, P., Matthews, P. M., Owen, D. R., et al. (2019) · Brain · doi:10.1093/brain/awz287 · Cited by 138
“While populations of patients undoubtedly show heterogeneity of grey matter pathology, our observations here raise questions about the interpretation of widespread TSPO PET signal in the cortical region as arising from cortical lesions (Politis et al., 2012), as opposed to meningeal (Howell et al.”
Self-citationImaging of microglia in patients with neurodegenerative disorders
Politis, M. (2012) · Frontiers in Pharmacology · doi:10.3389/fphar.2012.00096 · Cited by 111
Self-citationGrey matter damage in multiple sclerosis
Klaver, R., de Vries, H. E., Schenk, G. J., & Geurts, J. J. G. (2013) · Prion · doi:10.4161/pri.23499 · Cited by 114
Determinants and Biomarkers of Progression Independent of Relapses in Multiple Sclerosis
Calabrese, M., Preziosa, P., Scalfari, A., Colato, E., Marastoni, D., Absinta, M., Battaglini, M., Stefano, N. D., Filippo, M. D., Hametner, S., et al. (2024) · Annals of Neurology · doi:10.1002/ana.26913 · Cited by 115
Self-citationIncreased PK11195-PET binding in normal-appearing white matter in clinically isolated syndrome
Giannetti, P., Politis, M., Su, P., Turkheimer, F., Malik, O., Shiva Keihaninejad, A., Wu, K., Waldman, A. D., Reynolds, R., Nicholas, R. S., et al. (2014) · Brain · doi:10.1093/brain/awu331 · Cited by 106
Self-citationDatta, G., Colasanti, A., Rabiner, E. A., Gunn, R. N., Malik, O., Ciccarelli, O., Nicholas, R. S., Vlierberghe, E. V., Hecke, W. V., Searle, G. E., et al. (2017) · Brain · doi:10.1093/brain/awx228 · Cited by 99
Self-citationÖhrfelt, A., Axelsson, M., Malmeström, C., Novakova, L., Heslegrave, A., Blennow, K., Lycke, J., & Zetterberg, H. (2016) · Multiple Sclerosis Journal · doi:10.1177/1352458515624558 · Cited by 101
Brain intra- and extracellular sodium concentration in multiple sclerosis: a 7 T MRI study
Petracca, M., Vancea, R., Fleysher, L., Jonkman, L. E., Oesingmann, N., & Inglese, M. (2016) · Brain · doi:10.1093/brain/awv386 · Cited by 98
Positron emission tomography imaging in neurological disorders
Politis, M., & Piccini, P. P. (2012) · Journal of Neurology · doi:10.1007/s00415-012-6428-3 · Cited by 102
Self-citationMolecular imaging of neuroinflammation in Alzheimer's disease and mild cognitive impairment
Knezevic, D., & Mizrahi, R. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.05.007 · Cited by 97
Microglial activation, white matter tract damage, and disability in MS
Rissanen, E., Tuisku, J., Vahlberg, T. J., Sucksdorff, M., Paavilainen, T., Parkkola, R. K., Rokka, J., Gerhard, A., Hinz, R., Talbot, P. S., et al. (2018) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000443 · Cited by 104
Sucksdorff, M., Rissanen, E., Tuisku, J., Nuutinen, S., Paavilainen, T., Rokka, J., Rinne, J. O., & Airas, L. M. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.183020 · Cited by 95
Hagens, M., Golla, S. S. V., Wijburg, M., Yaqub, M., Heijtel, D., Steenwijk, M., Schober, P., Brevé, J., Schuit, R., Reekie, T., et al. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1352-9 · Cited by 79
Giannetti, P., Politis, M., Su, P., Turkheimer, F., Malik, O., Shiva Keihaninejad, A., Wu, K., Reynolds, R., Nicholas, R. S., & Piccini, P. P. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.01.018 · Cited by 86
Self-citationCan we switch microglia's phenotype to foster neuroprotection? Focus on multiple sclerosis
Giunti, D., Parodi, B., Cordano, C., Uccelli, A., & de Rosbo, N. K. (2013) · Immunology · doi:10.1111/imm.12177 · Cited by 87
Pathological differences between white and grey matter multiple sclerosis lesions
Prins, M., Schul, E., Geurts, J. J. G., van der Valk, P., Drukarch, B., & van Dam, A. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12841 · Cited by 89
11C-PBR28 and 18F-PBR111 Detect White Matter Inflammatory Heterogeneity in Multiple Sclerosis
Datta, G., Colasanti, A., Kalk, N., Owen, D. R., Scott, G. P. T., Rabiner, E., Gunn, R., Lingford-Hughes, A., Malik, O., Ciccarelli, O., et al. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.187161 · Cited by 78
Self-citationGracien, R., Reitz, S. C., Hof, S., Fleischer, V., Zimmermann, H., Droby, A., Steinmetz, H., Zipp, F., Deichmann, R., & Klein, J. C. (2015) · European Radiology · doi:10.1007/s00330-015-4072-x · Cited by 76
Morris, G., Reiche, E. M. V., Murru, A., Carvalho, A. F., Maes, M. H. J., Berk, M., & Puri, B. K. (2018) · Molecular Neurobiology · doi:10.1007/s12035-017-0843-5 · Cited by 75
Positron emission tomography in multiple sclerosis - straight to the target
Bodini, B., Tonietto, M., Airas, L., & Stankoff, B. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00537-1 · Cited by 74
Natalizumab treatment reduces microglial activation in the white matter of the MS brain
Sucksdorff, M., Tuisku, J., Matilainen, M., Vuorimaa, A., Smith, S., Keitilä, J., Rokka, J., Parkkola, R., Nylund, M., Rinne, J., et al. (2019) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000574 · Cited by 71
Glucose consumption of inflammatory cells masks metabolic deficits in the brain
Backes, H., Walberer, M., Ladwig, A., Rueger, M. A., Neumaier, B., Endepols, H., Hoehn, M., Fink, G. R., Schroeter, M., & Graf, R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.044 · Cited by 71
Airas, L. M., Nylund, M., & Rissanen, E. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00181 · Cited by 78
Imaging neuroinflammation in multiple sclerosis using TSPO-PET
Airas, L. M., Rissanen, E., & Rinne, J. O. (2015) · Clinical and Translational Imaging · doi:10.1007/s40336-015-0147-6 · Cited by 78
Diagnosis of Progressive Multiple Sclerosis From the Imaging Perspective
Filippi, M., Preziosa, P., Barkhof, F., Chard, D., Stefano, N. D., Fox, R. J., Gasperini, C., Kappos, L., Montalbán, X., Moraal, B., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.4689 · Cited by 73
Imaging and Molecular Mechanisms of Alzheimer’s Disease: A Review
Femminella, G. D., Thayanandan, T., Calsolaro, V., Komici, K., Rengo, G., Corbi, G., & Ferrara, N. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19123702 · Cited by 74
Steenwijk, M. D., Daams, M., Pouwels, P. J. W., Balk, L. J., Tewarie, P. K. B., Geurts, J. J. G., Barkhof, F., & Vrenken, H. (2015) · Human Brain Mapping · doi:10.1002/hbm.22738 · Cited by 65
Airas, L., Dickens, A., Elo, P., Marjamäki, P., Johansson, J., Eskola, O., Jones, P., Trigg, W., Solin, O., Haaparanta-Solin, M., et al. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.149955 · Cited by 66
Sun, J., Ren, Q., Xu, L., & Zhang, Z. (2015) · Scientific Reports · doi:10.1038/srep14235 · Cited by 65
Cortical and phase rim lesions on 7 T MRI as markers of multiple sclerosis disease progression
Treaba, C. A., Conti, A., Klawiter, E. C., Barletta, V. T., Herranz, E., Mehndiratta, A., Russo, A. W., Sloane, J. A., Kinkel, R. P., Toschi, N., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab134 · Cited by 62
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Ontaneda, D., & Fox, R. J. (2016) · Neurotherapeutics · doi:10.1007/s13311-016-0479-6 · Cited by 64
Planche, V., Panatier, A., Hiba, B., Ducourneau, E., Raffard, G., Dubourdieu, N., Maître, M., Lesté-Lasserre, T., Brochet, B., Dousset, V., et al. (2016) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2016.11.010 · Cited by 64
Western lifestyle and immunopathology of multiple sclerosis
Matveeva, O., Bogie, J. F. J., Hendriks, J. J. A., Linker, R. A., Haghikia, A., & Kleinewietfeld, M. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13583 · Cited by 65
Recent advances in understanding multiple sclerosis
Stys, P. K., & Tsutsui, S. (2019) · F1000Research · doi:10.12688/f1000research.20906.1 · Cited by 60
Poirion, E., Tonietto, M., Lejeune, F., Ricigliano, V., de la Motte, M. B., Benoit, C., Bera, G., Kuhnast, B., Bottlaender, M., Bodini, B., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000011700 · Cited by 54
Microglial Lectins in Health and Neurological Diseases
Siew, J. J., & Chern, Y. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00158 · Cited by 63
Gray matter microglial activation in relapsing vs progressive MS
Singhal, T., O’Connor, K., Dubey, S., Pan, H., Chu, R., Hurwitz, S., Cicero, S., Tauhid, S., Silbersweig, D., Stern, E. R., et al. (2019) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000587 · Cited by 54
Peng, H., Li, H., Sheehy, A. M., Cullen, P. F., Allaire, N., & Scannevin, R. H. (2016) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2016.08.006 · Cited by 57
Microglia in multiple sclerosis - pathogenesis and imaging
Airas, L., & Yong, V. W. (2022) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001045 · Cited by 52
PET Radioligands for In Vivo Visualization of Neuroinflammation
Ory, D., Celen, S., Verbruggen, A., & Bormans, G. M. (2014) · Current Pharmaceutical Design · doi:10.2174/1381612820666140613120212 · Cited by 53
Neuroimaging Techniques to Assess Inflammation in Multiple Sclerosis
Tommasin, S., Giannì, C., Giglio, L. D., & Pantano, P. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.055 · Cited by 51
Nylund, M., Sucksdorff, M., Matilainen, M., Polvinen, E., Tuisku, J., & Airas, L. (2022) · Brain Communications · doi:10.1093/braincomms/fcab301 · Cited by 48
García-Lorenzo, D., Lavisse, S., Leroy, C., Wimberley, C., Bodini, B., Rémy, P., Veronese, M., Turkheimer, F., Stankoff, B., & Bottlaender, M. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17692599 · Cited by 52
Self-citationKinetic modeling and parameter estimation of TSPO PET imaging in the human brain
Wimberley, C., Lavisse, S., Hillmer, A. T., Hinz, R., Turkheimer, F., & Zanotti‐Fregonara, P. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05248-9 · Cited by 52
Self-citationChauveau, F., Becker, G., & Boutin, H. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05425-w · Cited by 54
Tsutsui, M., Hirase, R., Miyamura, S., Nagayasu, K., Nakagawa, T., Mori, Y., Shirakawa, H., & Kaneko, S. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2203-17.2018 · Cited by 49
Molecular imaging of multiple sclerosis: from the clinical demand to novel radiotracers
Bauckneht, M., Capitanio, S., Raffa, S., Roccatagliata, L., Pardini, M., Lapucci, C., Marini, C., Sambuceti, G., Inglese, M., Gallo, P., et al. (2019) · EJNMMI Radiopharmacy and Chemistry · doi:10.1186/s41181-019-0058-3 · Cited by 46
Microvesicles: What is the Role in Multiple Sclerosis?
Carandini, T., Colombo, F., Finardi, A., Casella, G., Garzetti, L., Verderio, C., & Furlan, R. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00111 · Cited by 45
Schependom, J. V., Guldolf, K., D'hooghe, M. B., Nagels, G., & D’haeseleer, M. (2019) · Translational Neurodegeneration · doi:10.1186/s40035-019-0178-4 · Cited by 44
Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis
Petracca, M., Pontillo, G., Moccia, M., Carotenuto, A., Cocozza, S., Lanzillo, R., Brunetti, A., & Morra, V. B. (2021) · Brain Science · doi:10.3390/brainsci11030346 · Cited by 37
Recent imaging advances in neurology
Rocchi, L., Niccolini, F., & Politis, M. (2015) · Journal of Neurology · doi:10.1007/s00415-015-7711-x · Cited by 40
Self-citationImaging Neuroinflammation – from Bench to Bedside
Pulli, B. (2014) · Journal of Clinical & Cellular Immunology · doi:10.4172/2155-9899.1000226 · Cited by 41
Exploring potential mechanisms of action of natalizumab in secondary progressive multiple sclerosis
Sellebjerg, F. T., Cadavid, D., Steiner, D., Villar, L. M., Reynolds, R., & Mikol, D. D. (2015) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756285615615257 · Cited by 45
Self-citationReduction of PK11195 uptake observed in multiple sclerosis lesions after natalizumab initiation
Kaunzner, U. W., Kang, Y., Monohan, E., Kothari, P. J., Nealon, N., Perumal, J. S., Vartanian, T. K., Kuceyeski, A. F., Vallabhajosula, S., Mozley, P. D., et al. (2017) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2017.04.008 · Cited by 39
Faria, D. D. P., de Vries, E. F. J., Sijbesma, J. W. A., Buchpiguel, C. A., Dierckx, R., & Copray, S. C. V. M. (2014) · Multiple Sclerosis Journal · doi:10.1177/1352458514526941 · Cited by 41
Edwards, K. R., Goyal, J., Plavina, T., Czerkowicz, J., Goelz, S. E., Ranger, A. M., Cadavid, D., & Browning, J. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081007 · Cited by 37
PET imaging in multiple sclerosis
Faria, D. D. P., Copray, S. C. V. M., Buchpiguel, C. A., Dierckx, R., & de Vries, E. F. J. (2014) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-014-9544-2 · Cited by 40
Datta, G., Violante, I., Scott, G., Zimmerman, G., Santos-Ribeiro, A., Rabiner, E., Gunn, R., Malik, O., Ciccarelli, O., Nicholas, R., et al. (2016) · Multiple Sclerosis · doi:10.1177/1352458516681504 · Cited by 35
Self-citationThe emerging agenda of stratified medicine in neurology
Matthews, P. M., Edison, P., Geraghty, O. C., & Johnson, M. R. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.245 · Cited by 36
Self-citationCortical imaging in multiple sclerosis
Daams, M., Geurts, J. J. G., & Barkhof, F. (2013) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328362a864 · Cited by 35
Airas, L., Rissanen, E., & Rinne, J. (2017) · Multiple Sclerosis · doi:10.1177/1352458516674568 · Cited by 32
Imaging Mechanisms of Disease Progression in Multiple Sclerosis: Beyond Brain Atrophy
Bagnato, F. R., Gauthier, S. A., Laule, C., Moore, G. R. W., Bove, R. M., Cai, Z., Cohen‐Adad, J., Harrison, D. M., Klawiter, E. C., Morrow, S. A., et al. (2020) · Journal of Neuroimaging · doi:10.1111/jon.12700 · Cited by 37
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Herranz, E., Louapre, C., Treaba, C. A., Govindarajan, S. T., Ouellette, R., Mangeat, G., Loggia, M. L., Cohen‐Adad, J., Klawiter, E. C., Sloane, J. A., et al. (2019) · Multiple Sclerosis Journal · doi:10.1177/1352458519867320 · Cited by 34
Marro, M., Taubes, A. L., Abernathy, A. M., Balint, S., Moreno, B., Sánchez-Dalmau, B. F., Martínez‐Lapiscina, E. H., Amat‐Roldan, I., Petrov, D. V., & Villoslada, P. (2013) · Journal of Biophotonics · doi:10.1002/jbio.201300101 · Cited by 34
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Takata, K., Kato, H., Shimosegawa, E., Okuno, T., Koda, T., Sugimoto, T., Mochizuki, H., Hatazawa, J., & Nakatsuji, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111598 · Cited by 34
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Jonkman, L. E., Klaver, R., Fleysher, L., Inglese, M., & Geurts, J. J. G. (2016) · Multiple Sclerosis Journal · doi:10.1177/1352458516635290 · Cited by 33
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Babiloni, C., Percio, C. D., Capotosto, P., Noce, G., Infarinato, F., Muratori, C., Marcotulli, C., Bellagamba, G., Righi, E., Soricelli, A., et al. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.05.029 · Cited by 31
Poutiainen, P., Jaronen, M., Quintana, F. J., & Brownell, A. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2016.00085 · Cited by 33
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Tourdias, T., & Dousset, V. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0155-4 · Cited by 32
Tondo, G., Boccalini, C., Caminiti, S. P., Presotto, L., Filippi, M., Magnani, G., Frisoni, G. B., Iannaccone, S., & Perani, D. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201351 · Cited by 29
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Hagens, M. H. J., van Berckel, B. N. M., & Barkhof, F. (2016) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000326 · Cited by 29
Niccolini, F., Su, P., & Politis, M. (2015) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000000359 · Cited by 23
Self-citationStankoff, B., Poirion, É., Tonietto, M., & Bodini, B. (2018) · Brain Pathology · doi:10.1111/bpa.12641 · Cited by 28
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Musella, A., Mandolesi, G., Mori, F., Gentile, A., & Centonze, D. (2015) · Multiple Sclerosis Journal · doi:10.1177/1352458515581875 · Cited by 28
Matthews, P. M., & Datta, G. (2015) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2015.1032240 · Cited by 28
Self-citationMolecular and Metabolic Imaging in Multiple Sclerosis
Moccia, M., & Ciccarelli, O. (2017) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2016.12.005 · Cited by 28
Aryanpour, R., Zibara, K., Pasbakhsh, P., Jame'ei, S. B., Namjoo, Z., Ghanbari, A., Mahmoudi, R., Amani, S., & Kashani, I. R. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.03.025 · Cited by 30
Singhal, T., O’Connor, K., Dubey, S., Belanger, A. P., Hurwitz, S., Chu, R., Tauhid, S., Kijewski, M. F., DiCarli, M. F., Weiner, H. L., et al. (2018) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000002179 · Cited by 27
Pinzón, N. E., Stroo, E., Hart, B. A. ‘., Bol, J. G. J. M., Drukarch, B., Bauer, J., & van Dam, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100574 · Cited by 25
Krämer, J., Brück, W., Zipp, F., Cerina, M., Groppa, S., & Meuth, S. G. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101663 · Cited by 27
Metadata
- Authors
- Politis, M., Giannetti, P., Su, P., Turkheimer, F., Keihaninejad, S., Wu, K., Waldman, A., Malik, O., Matthews, P. M., Reynolds, R., Nicholas, R., & Piccini, P.
- Affiliations
- Hammersmith Hospital (GB)
- From the Centre for Neuroscience (M.P., P.G., P.S., F.T., K.W., A.W., P.M.M., R.R., R.N., P.P.), Division of Experimental Medicine, Faculty of Medicine, Hammersmith Hospital, Imperial College London, London; Clinical Sciences Center, Medical Research Council (M.P., P.G., P.S., F.T., S.K., K.W., A.W., P.P.), and GSK Clinical Imaging Centre (P.M.M.), Hammersmith Hospital, London; Dementia Research Centre (S.K.), UCL Institute of Neurology, London; and Department of Clinical Neurosciences (O.M., R.N.),...
- ORCID
- Venue
- Neurology
- Published
- 2012-08-07
- Volume
- 79
- Issue
- 6
- Pages
- 523-530
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3413767
- OpenAlex
- W2148602027
- Cited by
- 176
- References
- 41
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 12 · 2023: 9 · 2022: 11 · 2021: 14 · 2020: 9 · 2019: 15 · 2018: 13 · 2017: 15 · 2016: 19 · 2015: 21 · 2014: 19 · 2013: 7 · 2012: 5
- FWCI
- 12.02
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- multiple sclerosis, microglial activation, PK11195, [11C]PK11195 PET, cortical gray matter, disability, relapsing-remitting multiple sclerosis, secondary progressive multiple sclerosis, demyelination, Expanded Disability Status Scale, MSIS-29, postcentral gyrus, precentral gyrus
- MeSH terms
- Adult, Cerebral Cortex, Female, Humans, Isoquinolines, Male, Middle Aged, Multiple Sclerosis, Microglia, Radiopharmaceuticals, Positron-Emission Tomography
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