The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Flagged first, then by citations
1 of the 51 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Hutton, J. S., Dudley, J., Horowitz-Kraus, T., DeWitt, T., & Holland, S. K. (2020) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2019.3869 · Cited by 460
Cerebral small vessel disease genomics and its implications across the lifespan
Sargurupremraj, M., Suzuki, H., Jian, X., Sarnowski, C., Evans, T. E., Bis, J. C., Eiriksdottir, G., Sakaue, S., Terzikhan, N., Habes, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19111-2 · Cited by 214
Chen, Y., Wang, Y., Song, Z., Fan, Y., Gao, T., & Tang, X. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101911 · Cited by 152
Ceceli, A. O., Bradberry, C. W., & Goldstein, R. Z. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01153-9 · Cited by 150
Cognitive Dysfunction in Type 1 Diabetes Mellitus
Shalimova, A., Graff, B., Gąsecki, D., Wolf, J., Sabisz, A., Szurowska, E., Jodzio, K., & Narkiewicz, K. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01315 · Cited by 152
Self-citationAlirezaei, Z., Pourhanifeh, M. H., Borran, S., Nejati, M., Mirzaei, H., & Hamblin, M. R. (2020) · Molecular Neurobiology · doi:10.1007/s12035-019-01698-3 · Cited by 142
Tractography methods and findings in brain tumors and traumatic brain injury
Yeh, F.-C. F., Andrei Irimia, A., Bastos, D. C. D. A., & Golby, A. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118651 · Cited by 110
Thomason, M. E., Hect, J. L., Rauh, V. A., Trentacosta, C., Wheelock, M. D., Eggebrecht, A. T., Espinoza-Heredia, C., & Burt, S. A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.017 · Cited by 94
Nephew, B. C., Németh, A., Hudda, N., Beamer, G., Mann, P. E., Petitto, J., Cali, R. J., Febo, M., Kulkarni, P. P., Poirier, G. L., et al. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109242 · Cited by 94
Topiwala, A., Ebmeier, K. P., Maullin-Sapey, T., & Nichols, T. E. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103066 · Cited by 94
White matter changes in chronic and episodic migraine: a diffusion tensor imaging study
Planchuelo‐Gómez, Á., García‐Azorín, D., Peral, Á. L. G., Aja‐Fernández, S., Rodríguez, M., & de Luis-Garcı́a, R. (2020) · The Journal of Headache and Pain · doi:10.1186/s10194-019-1071-3 · Cited by 90
Samara, A., Murphy, T., Strain, J. F., Rutlin, J. R., Sun, P., Neyman, O., Sreevalsan, N., Shimony, J. S., Ances, B. M., Song, S., et al. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00464 · Cited by 88
Hutton, J. S., Dudley, J., Horowitz-Kraus, T., Dewitt, T., & Holland, S. (2019) · Acta paediatrica · doi:10.1111/apa.15124 · Cited by 58
Impact of Hyperbaric Oxygen Therapy on Cognitive Functions: a Systematic Review
Marcinkowska, A. B., Mankowska, N. D., Kot, J., & Winklewski, P. J. (2021) · Neuropsychology Review · doi:10.1007/s11065-021-09500-9 · Cited by 76
Self-citationFilo, S., Shtangel, O., Salamon, N., Kol, A., Weisinger, B., Shifman, S., & Mezer, A. (2019) · Nature Communications · doi:10.1038/s41467-019-11319-1 · Cited by 76
Recent Advances in Neuroimaging of Epilepsy
Goodman, A. M., & Szaflarski, J. P. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01049-y · Cited by 74
Significance of CSF NfL and tau in ALS
Schreiber, S., Spotorno, N., Schreiber, F., Acosta‐Cabronero, J., Kaufmann, J., Machts, J., Dębska–Vielhaber, G., Garz, C., Bittner, D., Hensiek, N., et al. (2018) · Journal of Neurology · doi:10.1007/s00415-018-9043-0 · Cited by 67
White matter development from birth to 6 years of age: a longitudinal study
Stephens, R. L., Langworthy, B. W., Short, S. J., Girault, J. B., Styner, M. A., & Gilmore, J. H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa170 · Cited by 63
Paolini, M., Palladini, M., Mazza, M. G., Colombo, F., Vai, B., Rovere, P. Q., Falini, A., Poletti, S., & Benedetti, F. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.12.002 · Cited by 63
Cognitive Deficit and White Matter Changes in Persons With Celiac Disease: A Population-Based Study
Croall, I. D., Sanders, D. S., Hadjivassiliou, M., & Hoggard, N. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.02.028 · Cited by 57
Tarumi, T., Tomoto, T., Repshas, J., Wang, C., Hynan, L. S., Cullum, C. M., Zhu, D. C., & Zhang, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117512 · Cited by 56
Glymphatic system function in patients with newly diagnosed focal epilepsy
Lee, D. A., Park, B. S., Ko, J., Park, S. H., Park, J., Kim, I. H., Lee, Y. J., & Park, K. M. (2022) · Brain and Behavior · doi:10.1002/brb3.2504 · Cited by 50
Chandrasekaran, J., Petit, E., Park, Y. W., du Montcel, S. T., Joers, J. M., Deelchand, D. K., Považan, M., Banan, G., Valabrègue, R., Ehses, P., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26573 · Cited by 50
MS optic neuritis-induced long-term structural changes within the visual pathway
Pawlitzki, M., Horbrügger, M., Loewe, K., Kaufmann, J., Opfer, R., Wagner, M., Al-Nosairy, K. O., Meuth, S. G., Hoffmann, M. B., & Schippling, S. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000665 · Cited by 49
Jütten, K., Mainz, V., Gauggel, S., Patel, H., Binkofski, F., Wiesmann, M., Clusmann, H., & Na, C.-H. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00536 · Cited by 49
White matter microstructure disruption in early stage amyloid pathology
Collij, L. E., Ingala, S., Top, H., Wottschel, V., Stickney, K., Tomassen, J., Konijnenberg, E., ten Kate, M., Sudre, C. H., Alves, I. L., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12124 · Cited by 48
Lee, M., Lee, S. K., Kim, S., Kim, R. E. Y., Nam, H. R., Siddiquee, A. T., THOMAS, R. J., Hwang, I., Yoon, J., Yun, C., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.22999 · Cited by 47
Pinto, J., Cera, N., & Pignatelli, D. (2024) · Journal of Endocrinological Investigation · doi:10.1007/s40618-024-02329-y · Cited by 53
Murayama, R., Cai, Y., Nakamura, H., & Hashimoto, K. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106209 · Cited by 44
Kim, S. E., Jung, S., Sung, G., Bang, M., & Lee, S. (2021) · Schizophrenia · doi:10.1038/s41537-021-00169-w · Cited by 40
Saccenti, L., Hagiwara, A., Andica, C., Yokoyama, K., Fujita, S., Kato, S., Maekawa, T., Kamagata, K., Berre, A. L., Hori, M., et al. (2020) · Cells · doi:10.3390/cells9020393 · Cited by 40
Structural brain changes in patients with persistent headache after COVID-19 resolution
Planchuelo‐Gómez, Á., García‐Azorín, D., Peral, Á. L. G., Rodríguez, M., Aja‐Fernández, S., & de Luis-Garcı́a, R. (2022) · Journal of Neurology · doi:10.1007/s00415-022-11398-z · Cited by 40
Haigh, S. M., Keller, T. A., Minshew, N. J., & Eack, S. M. (2020) · Autism Research · doi:10.1002/aur.2271 · Cited by 37
Warnock, A., Toomey, L. M., Wright, A. J., Fisher, K., Won, Y., Anyaegbu, C. C., & Fitzgerald, M. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2019.6890 · Cited by 36
White Matter Disruption in Pediatric Traumatic Brain Injury
Dennis, E. L., Caeyenberghs, K., Hoskinson, K. R., Merkley, T. L., Suskauer, S. J., Asarnow, R. F., Babikian, T., Bartnik‐Olson, B., Bickart, K. C., Bigler, E. D., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000012222 · Cited by 39
Ramanoël, S., York, E. N., Petit, M. L., Lagrené, K., Habas, C., & Arleo, A. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2019.00069 · Cited by 41
Planchuelo‐Gómez, Á., García‐Azorín, D., Peral, Á. L. G., Aja‐Fernández, S., Rodríguez, M., & de Luis-Garcı́a, R. (2019) · Cephalalgia · doi:10.1177/0333102419885392 · Cited by 36
Exposure to prenatal maternal distress and infant white matter neurodevelopment
Demers, C. H., Bagonis, M., Al‐Ali, K., Garcia, S. E., Styner, M. A., Gilmore, J. H., Hoffman, M. C., Hankin, B. L., & Davis, E. P. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000742 · Cited by 38
Wu, X., Zhang, J., Cui, Z., Tang, W., Shao, C., Hu, J., Zhu, J., Zhao, Y., Lu, L., Chen, G., et al. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0253-3 · Cited by 35
Permeability of the Blood–Brain Barrier after Traumatic Brain Injury: Radiological Considerations
Amoo, M., O’Halloran, P. J., Henry, J. H., Husien, M. B., Brennan, P., Campbell, M., Caird, J., & Curley, G. F. (2021) · Journal of Neurotrauma · doi:10.1089/neu.2020.7545 · Cited by 36
Carìa, A., da Rocha, J. L. D., Gallitto, G., Birbaumer, N., Sitaram, R., & Ramos‐Murguialday, A. (2019) · Neurotherapeutics · doi:10.1007/s13311-019-00816-2 · Cited by 32
Kourtidou, E., Kasselimis, D. S., Angelopoulou, G., Karavasilis, E., Velonakis, G., Kelekis, N., Zalonis, I., Evdokimidis, I., Potagas, C. M., & Petrides, M. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.635750 · Cited by 35
Early Detection of Cerebral Palsy Using Sensorimotor Tract Biomarkers in Very Preterm Infants
Parikh, N. A., Hershey, A., & Altaye, M. (2019) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2019.05.001 · Cited by 33
Baril, A., Gagnon, K., Descoteaux, M., Bedetti, C., Chami, S., Sanchez, E., Montplaisir, J. Y., Beaumont, L. D., Gilbert, D., Poirier, J., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.24971 · Cited by 33
Coppola, G., Renzo, A. D., Tinelli, E., Petolicchio, B., Lorenzo, C. D., Parisi, V., Serrao, M., Calistri, V., Tardioli, S., Cartocci, G., et al. (2020) · The Journal of Headache and Pain · doi:10.1186/s10194-020-01159-6 · Cited by 32
Diffusion Tensor Imaging as a Prognostic Tool for Recovery in Acute and Hyperacute Stroke
Christidi, F., Tsiptsios, D., Fotiadou, A., Kitmeridou, S., Karatzetzou, S., Tsamakis, K., Sousanidou, A., Psatha, E. A., Karavasilis, E., Seimenis, I., et al. (2022) · Neurology International · doi:10.3390/neurolint14040069 · Cited by 33
Chronic traumatic encephalopathy: Diagnostic updates and advances
Pierre, K., Molina, V., Shukla, S., Avila, A., Fong, N., Nguyen, J., & Lucke-Wold, B. P. (2022) · AIMS neuroscience · doi:10.3934/neuroscience.2022030 · Cited by 33
Strauß, S., Fleysher, R., Ifrah, C., Hunter, L. E., Ye, K. Q., Lipton, R. B., Zimmerman, M. E., Kim, M., Stewart, W. F., & Lipton, M. L. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00297-4 · Cited by 31
The uncinate fasciculus in individuals with and at risk for bipolar disorder: A meta-analysis
Xu, E. P., Nguyen, L. T., Hu, R., Stavish, C. M., Leibenluft, E., & Linke, J. O. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.10.045 · Cited by 31
Andersson, G., Orädd, G., Sultan, F. R., & Novikov, L. N. (2018) · Scientific Reports · doi:10.1038/s41598-018-30961-1 · Cited by 30
Latini, F., Fahlström, M., Beháňová, A., Sintorn, I., Hodik, M., Staxäng, K., & Ryttlefors, M. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102735 · Cited by 30
Gaudreault, P., King, S. G., Malaker, P., Alia‐Klein, N., & Goldstein, R. Z. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01833-y · Cited by 29
Stone, D. B., Ryman, S. G., Hartman, A. P., Wertz, C. J., Vakhtin, A. A., & Initiative, A. D. N. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.711579 · Cited by 28
Massalimova, A., Ni, R., Nitsch, R. M., Reisert, M., von Elverfeldt, D., & Klohs, J. (2020) · Neurodegenerative Diseases · doi:10.1159/000515754 · Cited by 28
Early life adversity in male mice sculpts reward circuits
Wendel, K. M., Short, A. K., Noarbe, B. P., Haddad, E., Palma, A. M., Yassa, M. A., Baram, T. Z., & Obenaus, A. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100409 · Cited by 30
Pelizzari, L., Laganà, M. M., Tella, S. D., Rossetto, F., Bergsland, N., Nemni, R., Clerici, M., & Baglio, F. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00134 · Cited by 28
Ottino‐González, J., Uhlmann, A., Hahn, S., Cao, Z., Cupertino, R. B., Schwab, N., Allgaier, N. A., Nelly Alia-klein, A., Ekhtiari, H., Fouché, J., et al. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.109185 · Cited by 27
Reduced white matter microstructural integrity in prediabetes and diabetes: A population-based study
Jing, J., Zhou, Y., Pan, Y., Cai, X., Zhu, W., Zhang, Z., Li, Z., Liu, C., Meng, X., Cheng, J., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104144 · Cited by 29
Determining the OPTIMAL DTI analysis method for application in cerebral small vessel disease
Egle, M. S., Hilal, S., Tuladhar, A. M., Pirpamer, L., Bell, S., Hofer, E., Duering, M., Wason, J. M. S., Morris, R. G., Dichgans, M., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103114 · Cited by 27
Gorges, M., Müller, H., Liepelt‐Scarfone, I., Storch, A., Dodel, R. C., Hilker-Roggendorf, R., Berg, D., Kunz, M. S., Kalbe, E., Baudrexel, S., et al. (2019) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756286419843447 · Cited by 31
White matter alterations in early Parkinson’s disease: role of motor symptom lateralization
Pelizzari, L., Tella, S. D., Laganà, M. M., Bergsland, N., Rossetto, F., Nemni, R., & Baglio, F. (2019) · Neurological Sciences · doi:10.1007/s10072-019-04084-y · Cited by 27
Han, Y., Jing, Y., Shi, Y., Mo, H., Wan, Y., Zhou, H.-W., & Deng, F. (2024) · Journal of Neurology · doi:10.1007/s00415-024-12358-5 · Cited by 27
Diffusion tensor imaging analysis in three progressive supranuclear palsy variants
Whitwell, J. L., Tosakulwong, N., Clark, H. M., Ali, F., Botha, H., Weigand, S. D., Sintini, I., Machulda, M. M., Schwarz, C. G., Reid, R. I., et al. (2021) · Journal of Neurology · doi:10.1007/s00415-020-10360-1 · Cited by 27
Seiger, R., Gryglewski, G., Klöbl, M., Kautzky, A., Godbersen, G. M., Rischka, L., Vanicek, T., Hienert, M., Unterholzner, J., Silberbauer, L., et al. (2021) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyab008 · Cited by 29
Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging
Pridmore, M. D., Glassman, G. E., Pollins, A. C., Esteve, I. V. M., Drolet, B. C., Weikert, D. R., Does, M. D., Perdikis, G., Thayer, W. P., & Dortch, R. D. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51270 · Cited by 26
Litwin, T., Rędzia-Ogrodnik, B., Antos, A., Przybyłkowski, A. M., Członkowska, A., & Bembenek, J. P. (2024) · Brain Sciences · doi:10.3390/brainsci14070727 · Cited by 27
Tracking Inhibitory Control in Youth With ADHD: A Multi-Modal Neuroimaging Approach
Tremblay, L. K., Hammill, C. F., Ameis, S. H., Bhaijiwala, M., Mabbott, D., Anagnostou, E. A., Lerch, J. P., & Schachar, R. J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00831 · Cited by 28
Pfarr, J., Brosch, K., Meller, T., Ringwald, K. G., Schmitt, S., Stein, F., Meinert, S., Grotegerd, D., Thiel, K., Lemke, H., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25600 · Cited by 21
The relationship between white matter microstructure and self-perceived cognitive decline
Archer, D. B., Moore, E. E., Pamidimukkala, U., Shashikumar, N., Pechman, K. R., Blennow, K., Zetterberg, H., Landman, B. A., Hohman, T. J., Jefferson, A. L., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102794 · Cited by 26
Older age, male sex, and cerebral microbleeds predict white matter loss after traumatic brain injury
Robles, D., Dharani, A. M., Rostowsky, K. A., Chaudhari, N. N., Ngo, V., Zhang, F., O’Donnell, L. J., Green, L., Sheikh‐Bahaei, N., Chui, H. C., et al. (2021) · GeroScience · doi:10.1007/s11357-021-00459-2 · Cited by 25
The structural connectome in ADHD
Bu, X., Cao, M., Huang, X., & Yong He, A. (2021) · Psychoradiology · doi:10.1093/psyrad/kkab021 · Cited by 25
Yeh, P., Lippa, S. M., Brickell, T. A., Ollinger, J. M., French, L. M., & Lange, R. T. (2022) · Brain Communications · doi:10.1093/braincomms/fcac132 · Cited by 23
Material hardship, prefrontal cortex–amygdala structure, and internalizing symptoms in children
Lichtin, R. D., Merz, E. C., He, X., Desai, P. M., Simon, K. R., Melvin, S. A., Maskus, E. A., & Noble, K. G. (2020) · Developmental Psychobiology · doi:10.1002/dev.22020 · Cited by 26
Sex as a Biological Variable in Preclinical Modeling of Blast-Related Traumatic Brain Injury
McCabe, J. T., & Tucker, L. B. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.541050 · Cited by 24
Microstructural Abnormalities of the Dentatorubrothalamic Tract in Cervical Dystonia
Sondergaard, R. E., Rockel, C. P., Cortese, F., Jasaui, Y., Pringsheim, T. M., Sarna, J. R., Monchi, O., Sadikot, A. F., Pike, G. B., & Martino, D. (2021) · Movement Disorders · doi:10.1002/mds.28649 · Cited by 24
Lei, H., Hu, R., Luo, G., Yang, T., Shen, H., Deng, H., Chen, C., Zhao, H., & Liu, J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.755017 · Cited by 24
Toller, G., Mandelli, M. L., Cobigo, Y., Rosen, H. J., Kramer, J. H., Miller, B. L., Gorno-Tempini, M. L., & Rankin, K. P. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.102994 · Cited by 23
Watanabe, M., Shrivastava, R. K., & Balchandani, P. (2024) · Pain · doi:10.1097/j.pain.0000000000003365 · Cited by 27
Sutkus, L. T., Joung, S., Hirvonen, J., Jensen, H. M., Ouwehand, A. C., Mukherjea, R., Donovan, S. M., & Dilger, R. N. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.860368 · Cited by 26
Khasanova, D. R., & Николаевич, К. М. (2023) · BMC Neurology · doi:10.1186/s12883-023-03159-w · Cited by 23
Li, Z., Samara, A., Ray, M. K., Rutlin, J., Raji, C., Shimony, J., Sun, P., Song, S.-K., Hershey, T., & Eisenstein, S. A. (2022) · medRxiv · doi:10.1093/texcom/tgad007 · Cited by 24
Cognitive disturbances in the cuprizone model of multiple sclerosis
Kopanitsa, M. V., Lehtimäki, K. K., Forsman, M., Suhonen, A., Koponen, J., Piiponniemi, T. O., Kärkkäinen, A., Pavlidi, P., Shatillo, A., Sweeney, P. J., et al. (2020) · Genes Brain & Behavior · doi:10.1111/gbb.12663 · Cited by 24
Sinke, M. R. T., Otte, W. M., Meerwaldt, A. E., Franx, B. A. A., Ali, M. H. M., Rakib, F., van der Toorn, A., Heijningen, C. L. V., Smeele, C. E., Ahmed, T., et al. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2020.7151 · Cited by 22
Maturation and degeneration of the human brainstem across the adult lifespan
Bouhrara, M., Cortina, L. E., Khattar, N., Rejimon, A. C., Ajamu, S., Cezayirli, D. S., & Spencer, R. G. S. (2021) · Aging · doi:10.18632/aging.203183 · Cited by 22
Boito, D., Eklund, A., Tisell, A., Levi, R., Özarslan, E., & Blystad, I. (2023) · Brain Communications · doi:10.1093/braincomms/fcad284 · Cited by 24
Sabisz, A., Naumczyk, P., Marcinkowska, A. B., Graff, B., Gąsecki, D., Glińska, A., Witkowska, M., Jankowska, A., Konarzewska, A., Kwela, J., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00035 · Cited by 23
Self-citationSoni, N., Vegh, V., To, X. V., Mohamed, A. Z., Borges, K., & Nasrallah, F. A. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00153 · Cited by 21
Chou, B. C., Lerner, A., Barisano, G., Phung, D., Xu, W., Pinto, S., & Sheikh‐Bahaei, N. (2023) · Journal of Central Nervous System Disease · doi:10.1177/11795735231205413 · Cited by 21
Translational Structural and Functional Signatures of Chronic Alcohol Effects in Mice
Degiorgis, L., Arefin, T. M., Hamida, S. B., Noblet, V., Antal, M. C., Bienert, T., Reisert, M., von Elverfeldt, D., Kieffer, B. L., & Harsan, L. A. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.02.013 · Cited by 18
Timing stroke: A review on stroke pathophysiology and its influence over time on diffusion measures
García, A. O., Brambati, S. M., Désautels, A., & Marcotte, K. (2022) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2022.120377 · Cited by 24
Increased myelination plays a central role in white matter neuroplasticity
Kirby, E. D., Frizzell, T. O., Grajauskas, L. A., Song, X., Gawryluk, J. R., Lakhani, B., Boyd, L. A., & D’Arcy, R. C. N. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119644 · Cited by 22
Moro, F., Lisi, I., Tolomeo, D., Vegliante, G., Pascente, R., Mazzone, E., Hussain, R., Micotti, E., Dallmeier, J., Pischiutta, F., et al. (2022) · Journal of Neurotrauma · doi:10.1089/neu.2022.0252 · Cited by 22
Guldner, S., Urrila, A. S., Lemaître, H., Massicotte, J., Vulser, H., Miranda, R., Frère, P., Filippi, I., Penttilä, J., Banaschewski, T., et al. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101193 · Cited by 22
Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors
Sui, X., & Rajapakse, J. C. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.10.026 · Cited by 21
Olson, E. A., Overbey, T., Ostrand, C., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M. (2019) · Brain and Behavior · doi:10.1002/brb3.1485 · Cited by 24
Face-Specific Perceptual Distortions Reveal A View- and Orientation-Independent Face Template
Almeida, J., Freixo, A., Tábuas‐Pereira, M., Herald, S. B., Valério, D., Schu, G. G., Duro, D., Cunha, G., Bukhari, Q., Duchaine, B., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.067 · Cited by 23
Tu, M., Huang, S., Hsu, Y., Yang, J., Lin, C.-Y. E., & Kuo, L. (2021) · Human Brain Mapping · doi:10.1002/hbm.25342 · Cited by 18
Tract Specificity of Age Effects on Diffusion Tensor Imaging Measures of White Matter Health
Matijevic, S., & Ryan, L. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.628865 · Cited by 22
Salsone, M., Caligiuri, M. E., Castronovo, V., Canessa, N., Marelli, S., Quattrone, A., Quattrone, A., & Ferini‐Strambi, L. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24858 · Cited by 20
Lin, T., Sun, P., Hallman, M. J., Hwang, F. C., Wallendorf, M., Ray, W. Z., Spees, W. M., & Song, S. (2018) · Journal of Neurotrauma · doi:10.1089/neu.2018.6016 · Cited by 20
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
