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Understanding the Physiopathology Behind Axial and Radial Diffusivity Changes—What Do We Know?
Open accessAbstract
The use of the diffusion tensor imaging (DTI) is rapidly growing in the neuroimaging field. Nevertheless, rigorously performed quantitative validation of DTI pathologic metrics remains very limited owing to the difficulty in co-registering quantitative histology findings with magnetic resonance imaging. The aim of this review is to summarise the existing state of the art knowledge with respect to axial (λ║) and radial (λ┴) diffusivity as DTI markers of axonal and myelin damage, respectively. Firstly, we provide technical background for DTI and briefly discuss the specific organization of white matter in bundles of axonal fibres running in parallel; this is the natural target for imaging based on diffusion anisotropy. Secondly, we discuss the four seminal studies that paved the way for considering axial (λ║) and radial (λ┴) diffusivity as potential in vivo surrogate markers of axonal and myelin damage, respectively. Then, we present difficulties in interpreting axial (λ║) and radial (λ┴) diffusivity in clinical conditions associated with inflammation, oedema, and white matter fibre crossing. Finally, future directions are highlighted. In summary, DTI can reveal strategic information with respect to white matter tracts, disconnection mechanisms, and related symptoms. Axial (λ║) and radial (λ┴) diffusivity seem to provide quite consistent information in healthy subjects, and in pathological conditions with limited oedema and inflammatory changes. DTI remains one of the most promising non-invasive diagnostic tools in medicine.
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“We used a b-value of 4,000 s/mm 2 , as recommended for ex vivo DTI [47].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [47]
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Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C. M., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,392
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658
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Items 101–200 of 463
Rutland, J. W., Brown, S. S. G., Verma, G., Feldman, R. E., Sharma, H., Markowitz, M., Schneider, M., Delman, B. N., Murrough, J. W., & Balchandani, P. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.02.008 · Cited by 21
Plasma lipids are associated with white matter microstructural changes and axonal degeneration
Iriondo, A., García‐Sebastián, M., Arrospide, A., de Arriba, M., Aurtenetxe, S., Barandiarán, M., Clerigué, M., Ecay‐Torres, M., Estanga, A., Gabilondo, A., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00311-9 · Cited by 21
Latini, F., Fahlström, M., Marklund, N., & Feresiadou, A. (2021) · European Journal of Neurology · doi:10.1111/ene.14903 · Cited by 22
Wang, W.-E., Chen, R., Mayrand, R. P., Adjouadi, M., Fang, R., DeKosky, S. T., Duara, R., Coombes, S. A., & Vaillancourt, D. E. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.10.013 · Cited by 20
Yao, Z., Sligte, I. G., Moreau, D., Hsieh, S., Yang, C.-T., Ridderinkhof, K. R., Muggleton, N. G., & Wang, C. (2020) · Cortex · doi:10.1016/j.cortex.2020.07.016 · Cited by 21
Lu, W., Sun, Y., Gao, H., & Qiu, J. (2023) · European Radiology · doi:10.1007/s00330-023-09549-5 · Cited by 19
Physical activity and the brain myelin content in humans
Kujawa, M. J., Marcinkowska, A. B., Grzywińska, M., Waśkow, M., Romanowski, A., Szurowska, E., Winklewski, P. J., & Szarmach, A. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1198657 · Cited by 20
Self-citationRutland, J. W., Huang, K.-H., Gill, C. M., Villavisanis, D. F., Alper, J., Verma, G., Bederson, J. B., Delman, B. N., Shrivastava, R. K., & Balchandani, P. (2019) · Journal of neurosurgery · doi:10.3171/2019.6.jns19541 · Cited by 20
Haigh, S. M., Eack, S. M., Keller, T. A., Minshew, N. J., & Behrmann, M. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107233 · Cited by 19
Kawata, K., Steinfeldt, J. A., Huibregtse, M. E., Nowak, M. K., Macy, J. T., Kercher, K. A., Rettke, D. J., Shin, A., Chen, Z., Ejima, K., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.581781 · Cited by 19
Altered Structural Brain Networks in Refractory and Nonrefractory Idiopathic Generalized Epilepsy
McKavanagh, A., Kreilkamp, B. A. K., Chen, Y., Denby, C. E., Bracewell, R. M., Das, K., de Bézenac, C. E., Marson, A. G., Taylor, P. N., & Keller, S. S. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0035 · Cited by 19
Smigielski, L., Stämpfli, P., Wotruba, D., Buechler, R., Sommer, S., Gerstenberg, M., Theodoridou, A., Walitza, S., Wulf Rössler, A., & Heekeren, K. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103067 · Cited by 19
Newville, J., Howard, T. A., Chavez, G. J., Valenzuela, C. F., & Cunningham, L. A. (2021) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14752 · Cited by 18
Barch, D. M., Hua, X., Kandala, S., Harms, M. P., Sanders, A. F. P., Brady, R. G., Tillman, R., & Luby, J. L. (2022) · Depression and Anxiety · doi:10.1002/da.23294 · Cited by 18
Size at birth predicts later brain volumes
Nivins, S., Kennedy, E., McKinlay, C. J. D., Thompson, B. S., Harding, J. E., Children with HYpoglycemia and Their Later Development (CHYLD) Study Team, Steering group, Alsweiler, J. M., Brown, G., Gamble, G. D., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-39663-9 · Cited by 18
Teipel, S. J., the DELCODE study group, Kuper-Smith, J. O., Bartels, C., Brosseron, F., Buchmann, M., Büerger, K., Catak, C., Janowitz, D., Dechent, P., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190446 · Cited by 18
A general role for ventral white matter pathways in morphological processing: Going beyond reading
Yablonski, M., Menashe, B. A., & Ben‐Shachar, M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117577 · Cited by 16
Brain white matter microstructure in obese women with binge eating disorder
Estella, N. M., Sanches, L. G., Maranhão, M. F., Hoexter, M. Q., Schmidt, U. H., Campbell, I. C., Amaro, E., & Claudino, A. M. (2020) · European Eating Disorders Review · doi:10.1002/erv.2758 · Cited by 18
Neuroimaging in Leber Hereditary Optic Neuropathy: State-of-the-art and future prospects
Chow-Wing-Bom, H. T., Callaghan, M. F., Wang, J., Wei, S., Dick, F., Yu‐Wai‐Man, P., & Dekker, T. M. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103240 · Cited by 18
Bulcke, C. V., Stölting, A., Maric, D., Macq, B. M. M., Absinta, M., & Maggi, P. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103593 · Cited by 17
Oehr, L. E., Yang, J. Y., Chen, J., Maller, J. J., Seal, M. L., & Anderson, J. F. I. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2020.7310 · Cited by 18
Effects of simvastatin on white matter integrity in healthy middle‐aged adults
Vogt, N. M., Hunt, J. F. V., Ma, Y., Hulle, C. A. V., Adluru, N., Chappell, R. J., Lazar, K. K., Jacobson, L. E., Austin, B. P., Asthana, S., et al. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51421 · Cited by 17
Farah, R., Tzafrir, H., & Horowitz‐Kraus, T. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02062-1 · Cited by 20
Venkatasubramanian, P. N., Keni, P., Gastfield, R. D., Li, L., Aksenov, D. P., Sherman, S. A., Bailes, J. E., Sindelar, B., Finan, J. D., Lee, J., et al. (2020) · ASN NEURO · doi:10.1177/1759091420922929 · Cited by 17
D’Souza, S., Ormond, D. R., Costabile, J. D., & Thompson, J. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225323 · Cited by 16
Ultrahigh field imaging of myelin disease models: Toward specific markers of myelin integrity?
Petiet, A., Adanyeguh, I. M., Aigrot, M., Poirion, É., Nait‐Oumesmar, B., Santin, M. D., & Stankoff, B. (2018) · The Journal of Comparative Neurology · doi:10.1002/cne.24598 · Cited by 19
Iriondo, A., García-Sebastian, M., Arrospide, A., Arriba, M., Aurtenetxe, S., Barandiaran, M., Clerigue, M., Ecay-Torres, M., Estanga, A., Gabilondo, A., et al. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-200105 · Cited by 16
McCunn, P., Richardson, J. A., Jetly, R., & Dunkley, B. T. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113797 · Cited by 16
Müller, H.-P., Brenner, D., Roselli, F., Wiesner, D., Abaei, A., Gorges, M., Danzer, K. M., Ludolph, A. C., Tsao, W., Wong, P. C., et al. (2019) · Translational Neurodegeneration · doi:10.1186/s40035-019-0163-y · Cited by 15
Planchuelo‐Gómez, Á., García‐Azorín, D., Peral, Á. L. G., de Luis-Garcı́a, R., Rodríguez, M., & Aja‐Fernández, S. (2020) · Brain Sciences · doi:10.3390/brainsci10100711 · Cited by 15
Reduced white matter microstructure in bipolar disorder with and without psychosis
Brown, J. A., Jackson, B. S., Burton, C. R., Hoy, J. E., Sweeney, J. A., Pearlson, G. D., Keshavan, M. S., Keedy, S., Gershon, E. S., Tamminga, C. A., et al. (2021) · Bipolar Disorders · doi:10.1111/bdi.13055 · Cited by 17
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Cox, C. S., Juranek, J. J., Kosmach, S. C., Pedroza, C., Thakur, N., Dempsey, A. G., Rennie, K. M., Scott, M. C., Jackson, M. L., Kumar, A., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac131 · Cited by 16
Planalp, E. M., Dowe, K. N., Alexander, A. L., Goldsmith, H. H., Davidson, R. J., & Dean, D. (2022) · Developmental Science · doi:10.1111/desc.13340 · Cited by 16
Ehrler, M., Brugger, P., Greutmann, M., Schlosser, L., Wehrle, F. M., Liamlahi, R., Naef, N., Kretschmar, O., Tuura, R., & Latal, B. (2022) · Child Neuropsychology · doi:10.1080/09297049.2022.2144633 · Cited by 15
Cottam, N. C., Bamfo, T., Harrington, M. A., Charvet, C. J., Hekmatyar, K., Tulin, N., & Sun, J. (2023) · Brain Pathology · doi:10.1111/bpa.13162 · Cited by 15
Shams, B., Reisch, K., Vajkoczy, P., Lippert, C., Picht, T., & Fekonja, L. S. (2023) · Human Brain Mapping · doi:10.1002/hbm.26393 · Cited by 15
Lin, C. S.-Y., Howells, J., Rutkove, S. B., Nandedkar, S. D., Neuwirth, C., Noto, Y., Shahrizaila, N., Whittaker, R. G., Bostock, H., Burke, D. J., et al. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.03.015 · Cited by 17
Parsaei, M., Hashemi, S. M., Moghaddam, H. S., & Peterson, B. S. (2024) · Journal of Neuroscience Research · doi:10.1002/jnr.25368 · Cited by 15
Exploring white matter microstructure and the impact of antipsychotics in adolescent-onset psychosis
Barth, C., Lonning, V., Gurholt, T. P., Andreassen, O. A., Myhre, A. M., & Agartz, I. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233684 · Cited by 14
Добрынина, Л. А., Gadzhieva, Z. S., Витальевна, Ш. К., Kremneva, E. I., Akhmetzyanov, B. M., Kalashnikova, L. А., & Кротенкова, М. В. (2020) · Diagnostics · doi:10.3390/diagnostics10090720 · Cited by 15
Richerson, W. T., Umfleet, L. G., Schmit, B. D., & Wolfgram, D. F. (2020) · The Nephron journals/Nephron journals · doi:10.1159/000510614 · Cited by 15
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Cotter, D. L., Azad, A., Cabeen, R. P., Kim, M. S., Geffner, M. E., Sepehrband, F., & Herting, M. M. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab520 · Cited by 14
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Byrne, H. R., Spencer, A. P. C., Geary, G., Jary, S., Thoresen, M., Cowan, F. M., Brooks, J. C. W., & Chakkarapani, E. (2022) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51696 · Cited by 15
Kara, F., Belloy, M. E., Voncken, R., Sarwari, Z., Garima, Y., Anckaerts, C., Langbeen, A., Leysen, V., Shah, D., Jacobs, J., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.02.011 · Cited by 15
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Huang, Z., & Cai, J. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12031054 · Cited by 14
Wang, X., Wang, Y., Gao, D., Zhao, Z., Wang, H., Wang, S., & Liu, S. (2023) · Japanese Journal of Radiology · doi:10.1007/s11604-023-01419-w · Cited by 14
Bonosi, L., Musso, S., Cusimano, L. M., Porzio, M., Giovannini, E. A., Benigno, U. E., Giammalva, G. R., Gerardi, R. M., Brunasso, L., Costanzo, R., et al. (2023) · Neurosurgical Review · doi:10.1007/s10143-023-02062-9 · Cited by 14
Meisler, S. L., Gabrieli, J. D. E., & Christodoulou, J. A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00108 · Cited by 13
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Lavalle, S., Scapaticci, R., Masiello, E., Messina, C., Aliprandi, A., Salerno, V. M., Russo, A., & Pegreffi, F. (2024) · Frontiers in Medical Technology · doi:10.3389/fmedt.2024.1467155 · Cited by 17
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Pierre, W. C., Akakpo, L., Londoño, I., Pouliot, P., Chemtob, S., Lesage, F., & Lodygensky, G. A. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.06.032 · Cited by 14
Maximo, J. O., Kraguljac, N. V., Rountree, B. G., & Lahti, A. C. (2021) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgab032 · Cited by 15
Caso, F., Agosta, F., Scamarcia, P. G., Basaia, S., Canu, E., Magnani, G., Volontè, M., & Filippi, M. (2021) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2021.09.025 · Cited by 14
McDonald, M. A., Tayebi, M., McGeown, J., Kwon, E. E., Holdsworth, S., & Danesh-Meyer, H. (2022) · Brain and Behavior · doi:10.1002/brb3.2714 · Cited by 12
Gao, J., Pan, P., Li, J., Tang, M., Yan, X., Zhang, X., Wang, M., Ai, K., Lei, X., Zhang, X., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1327339 · Cited by 13
Criado‐Marrero, M., Ravi, S., Bhaskar, E., Barroso, D., Pizzi, M. A., Williams, L. N., Wellington, C. L., Febo, M., & Abisambra, J. F. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120764 · Cited by 13
Nevarez-Brewster, M., Demers, C. H., Deer, L. K., Aran, Ö., Gallop, R., Haase, M. H., Al‐Ali, K., Bagonis, M., Gilmore, J. H., Hoffman, M. C., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105384 · Cited by 14
Ribeiro, I. C., Teixeira, C. V. L., de Rezende, T. J. R., de Campos, B. M., Silva, G. B., Uchida, M. C., Magalhães, T. N. C., Pimentel‐Silva, L. R., Aventurato, Í. K., Gonçalves, B. M. V., et al. (2025) · GeroScience · doi:10.1007/s11357-024-01483-8 · Cited by 16
Bengtsson, J., Bodén, R., Olsson, E. M. G., Mårtensson, J., Gingnell, M., & Persson, J. (2020) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2020.111079 · Cited by 13
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Tella, S. D., Baglio, F., Pelizzari, L., Cabinio, M., Nemni, R., Traficante, D., & Silveri, M. C. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107504 · Cited by 13
Vuong, A., Fowler, E., Matsumoto, J. H., Staudt, L. A., Yokota, H., & Joshi, S. H. (2021) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7272 · Cited by 14
Deng, X., Hu, Y., Zhang, Y., Zhang, D., Wang, S., Cao, Y. B., Li, M., Wang, B., Zong, F., & Zhao, J. (2021) · Stroke · doi:10.1161/strokeaha.121.035506 · Cited by 13
Kline, J. E., Illapani, V. S. P., Li, H., He, L., Yuan, W., & Parikh, N. A. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102739 · Cited by 15
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Gronemann, D. C., Koch, K., Bantel, C., & Sörös, P. (2020) · medRxiv · doi:10.1101/2020.04.16.20068197 · Cited by 13
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Denecke, J., Dewenter, A., Lee, J., Franzmeier, N., Valentim, C., Kopczak, A., Dichgans, M., Pirpamer, L., Gesierich, B. G., Duering, M., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70127 · Cited by 13
Hsieh, S., Yao, Z., & Yang, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18031123 · Cited by 13
Kumar, S., Luca, A. D., Leemans, A., Saffari, S. E., Hartono, S., Zailan, F. Z., Ng, K. P., & Kandiah, N. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.1005406 · Cited by 12
Minnigulova, A., Юрьевна, Д. Е., Станиславаовна, П. Д., Sorokin, A. B., Анатольевна, Т. С., Mamokhina, U. A., Касимовна, Д. К., Dragoy, O., & Arutiunian, V. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02617-y · Cited by 11
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Kim, S. Y., Ollinger, J. M., Song, C., Raiciulescu, S., Seenivasan, S., Wolfgang, A. S., Kim, H., Werner, J. K., & Yeh, P. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.8121 · Cited by 14
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Alves, C., Jorge, L., Canário, N., Santiago, B., Santana, I. J., Castelhano, J., Ambrósio, A. F., Bernardes, R., & Castelo-Branco, M. S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190152 · Cited by 15
Huang, Z., Lu, C., Li, G., Li, Z., Sun, S., Zhang, Y., Hou, Z., & Xie, J. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.627202 · Cited by 12
Patriat, R., Pisharady, P. K., Huffmaster, S. L. A., Linn‐Evans, M. E., Howell, M. J., Chung, J. W., Petrucci, M. N., Videnović, A., Holker, E. G., Kam, J. D., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac027 · Cited by 15
Hu, J., Li, Y., Li, Z., Chen, J., Cao, Y., Xu, D., Zheng, L., Bai, R., & Wang, L. (2022) · BMC Neurology · doi:10.1186/s12883-022-02705-2 · Cited by 12
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Holmes, S. A., Barakat, N., Bhasin, M., Lopez, N., Lebel, A., Zurakowski, D., Thomas, B. J., Bhasin, S. S., Silva, K. E., Borra, R., et al. (2019) · Neurobiology of Pain · doi:10.1016/j.ynpai.2019.100038 · Cited by 12
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Metadata
- Authors
- Winklewski, P. J., Sabisz, A., Naumczyk, P., Jodzio, K., Szurowska, E., & Szarmach, A.
- Affiliations
- Gdańsk Medical University (PL)
- University of Gdańsk (PL)
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2018-02-27
- Volume
- 9
- Pages
- 92-92
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC5835085
- OpenAlex
- W2793043361
- Cited by
- 463
- References
- 51
- Citations by year
- 2026: 37 · 2025: 68 · 2024: 68 · 2023: 61 · 2022: 68 · 2021: 67 · 2020: 53 · 2019: 33 · 2018: 6
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Neurology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Narodowe Centrum Nauki (2017/01/X/NZ5/00909 and 2017/01/X/NZ4/00779)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- diffusion tensor imaging, axial diffusivity, radial diffusivity, axonal injury, myelin damage, white matter, diffusion anisotropy, edema, inflammation, surrogate markers
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