Microstructural Visual Pathway White Matter Alterations in Primary Open-Angle Glaucoma: A Neurite Orientation Dispersion and Density Imaging Study

References

1. 1.↵
   1. Tham YC,
   2. Li X,
   3. Wong TY, et al

   . Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology 2014;121:2081–90 doi:10.1016/j.ophtha.2014.05.013 pmid:24974815

   CrossRefPubMedWeb of Science
2. 2.↵
   1. Weinreb RN,
   2. Khaw PT

   . Primary open-angle glaucoma. Lancet 2004;363:1711–20 doi:10.1016/S0140-6736(04)16257-0 pmid:15158634

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Nuzzi R,
   2. Dallorto L,
   3. Rolle T

   . Changes of visual pathway and brain connectivity in glaucoma: a systematic review. Front Neurosci 2018;12:363 doi:10.3389/fnins.2018.00363 pmid:29896087

   CrossRefPubMed
4. 4.↵
   1. Frezzotti P,
   2. Giorgio A,
   3. Toto F, et al

   . Early changes of brain connectivity in primary open angle glaucoma. Hum Brain Mapp 2016;37:4581–96 doi:10.1002/hbm.23330 pmid:27503699

   CrossRefPubMed
5. 5.↵
   1. Kaushik M,
   2. Graham SL,
   3. Wang C, et al

   . A topographical relationship between visual field defects and optic radiation changes in glaucoma. Investig Ophthalmol Vis Sci 2014;55:5770–75 doi:10.1167/iovs.14-14733] pmid:25118267

   Abstract/FREE Full Text
6. 6.↵
   1. Sidek S,
   2. Ramli N,
   3. Rahmat K, et al

   . Glaucoma severity affects diffusion tensor imaging (DTI) parameters of the optic nerve and optic radiation. Eur J Radiol 2014;83:1437–41 doi:10.1016/j.ejrad.2014.05.014 pmid:24908588

   CrossRefPubMed
7. 7.↵
   1. Zikou AK,
   2. Kitsos G,
   3. Tzarouchi LC, et al

   . Voxel-based morphometry and diffusion tensor imaging of the optic pathway in primary open-angle glaucoma: a preliminary study. AJNR Am J Neuroradiol 2012;33:128–34 doi:10.3174/ajnr.A2714 pmid:22116110

   Abstract/FREE Full Text
8. 8.↵
   1. Tellouck L,
   2. Durieux M,
   3. Coupé P, et al

   . Optic radiations microstructural changes in glaucoma and association with severity: a study using 3Tesla-magnetic resonance diffusion tensor imaging. Invest Ophthalmol Vis Sci 2016;57:6539–47 doi:10.1167/iovs.16-19838 pmid:27918827

   CrossRefPubMed
9. 9.↵
   1. Zhou W,
   2. Muir ER,
   3. Chalfin S, et al

   . MRI study of the posterior visual pathways in primary open angle glaucoma. J Glaucoma 2017;26:173–81 doi:10.1097/IJG.0000000000000558 pmid:27661989

   CrossRefPubMed
10. 10.↵
    1. Nucci C,
    2. Mancino R,
    3. Martucci A, et al

    . 3-T diffusion tensor imaging of the optic nerve in subjects with glaucoma: correlation with GDx-VCC, HRT-III and Stratus optical coherence tomography findings. Br J Ophthalmol 2012;96:976–80 doi:10.1136/bjophthalmol-2011-301280 pmid:22628535

    Abstract/FREE Full Text
11. 11.↵
    1. Chen Z,
    2. Lin F,
    3. Wang J, et al

    . Diffusion tensor magnetic resonance imaging reveals visual pathway damage that correlates with clinical severity in glaucoma. Clin Experiment Ophthalmol 2013;41:43–49 doi:10.1111/j.1442-9071.2012.02832.x pmid:22712443

    CrossRefPubMed
12. 12.↵
    1. Michelson G,
    2. Engelhorn T,
    3. Wärntges S, et al

    . DTI parameters of axonal integrity and demyelination of the optic radiation correlate with glaucoma indices. Graefes Arch Clin Exp Ophthalmol 2013;251:243–53 doi:10.1007/s00417-011-1887-2 pmid:22366916

    CrossRefPubMed
13. 13.↵
    1. Murai H,
    2. Suzuki Y,
    3. Kiyosawa M, et al

    . Positive correlation between the degree of visual field defect and optic radiation damage in glaucoma patients. Jpn J Ophthalmol 2013;57:257–62 doi:10.1007/s10384-013-0233-0 pmid:23417328

    CrossRefPubMed
14. 14.↵
    1. Garaci FG,
    2. Bolacchi F,
    3. Cerulli A, et al

    . Optic nerve and optic radiation neurodegeneration in patients with glaucoma: in vivo analysis with 3-T diffusion-tensor MR imaging. Radiology 2009;252:496–501 doi:10.1148/radiol.2522081240 pmid:19435941

    CrossRefPubMedWeb of Science
15. 15.↵
    1. Lu P,
    2. Shi L,
    3. Du H, et al

    . Reduced white matter integrity in primary open-angle glaucoma: A DTI study using tract-based spatial statistics. J Neuroradiol 2013;40:89–93 doi:10.1016/j.neurad.2012.04.001 pmid:22796270

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Song X,
    2. Puyang Z,
    3. Chen A-H, et al

    . Diffusion tensor imaging detects microstructural differences of visual pathway in patients with primary open-angle glaucoma and ocular hypertension. Front Hum Neurosci 2018;12:426 doi:10.3389/fnins.2018.00426 pmid:30459581

    CrossRefPubMed
17. 17.↵
    1. Haykal S,
    2. Curcic-Blake B,
    3. Jansonius NM, et al

    . Fixel-based analysis of visual pathway white matter in primary open-angle glaucoma. Invest Ophthalmol Vis Sci 2019;60:3803–12 doi:10.1167/iovs.19-27447 pmid:31504081

    CrossRefPubMed
18. 18.↵
    1. Haykal S,
    2. Jansonius NM,
    3. Cornelissen FW

    . Investigating changes in axonal density and morphology of glaucomatous optic nerves using fixel-based analysis. Eur J Radiol 2020;133:109356 doi:10.1016/j.ejrad.2020.109356 pmid:33129102

    CrossRefPubMed
19. 19.↵
    1. Jones DK,
    2. Knösche TR,
    3. Turner R

    . White matter integrity, fiber count, and other fallacies: the do’s and don’ts of diffusion MRI. Neuroimage 2013;73:239–54 doi:10.1016/j.neuroimage.2012.06.081 pmid:22846632

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Zhang H,
    2. Schneider T,
    3. Wheeler-Kingshott CA, et al

    . NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 2012;61:1000–16 doi:10.1016/j.neuroimage.2012.03.072 pmid:22484410

    CrossRefPubMed
21. 21.↵
    1. Veraart J,
    2. Fieremans E,
    3. Novikov DS

    . Diffusion MRI noise mapping using random matrix theory. Magn Reson Med 2016;76:1582–93 doi:10.1002/mrm.26059 pmid:26599599

    CrossRefPubMed
22. 22.↵
    1. Tournier JD,
    2. Smith R,
    3. Raffelt D, et al

    . MRtrix3: a fast, flexible and open software framework for medical image processing and visualisation. Neuroimage 2019;202:116137 doi:10.1016/j.neuroimage.2019.116137 pmid:31473352

    CrossRefPubMed
23. 23.↵
    1. Andersson JL,
    2. Skare S,
    3. Ashburner J

    . How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage 2003;20:870–88 doi:10.1016/S1053-8119(03)00336-7 pmid:14568458

    CrossRefPubMedWeb of Science
24. 24.↵
    1. Andersson JL,
    2. Sotiropoulos SN

    . An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage 2016;125:1063–78 doi:10.1016/j.neuroimage.2015.10.019 pmid:26481672

    CrossRefPubMed
25. 25.↵
    1. Jenkinson M,
    2. Bannister P,
    3. Brady M, et al

    . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002;17:825–41 doi:10.1006/nimg.2002.1132 pmid:12377157

    CrossRefPubMedWeb of Science
26. 26.↵
    1. Zhang Y,
    2. Brady M,
    3. Smith S

    . Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001;20:45–57 doi:10.1109/42.906424 pmid:11293691

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Smith RE,
    2. Tournier JD,
    3. Calamante F, et al

    . Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information. Neuroimage 2012;62:1924–38 doi:10.1016/j.neuroimage.2012.06.005 pmid:22705374

    CrossRefPubMed
28. 28.↵
    1. Jeurissen B,
    2. Tournier JD,
    3. Dhollander T, et al

    . Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data. Neuroimage 2014;103:411–26 doi:10.1016/j.neuroimage.2014.07.061 pmid:25109526

    CrossRefPubMed
29. 29.↵
    1. Dale AM,
    2. Fischl B,
    3. Sereno MI

    . Cortical surface-based analysis, I: segmentation and surface reconstruction. Neuroimage 1999;9:179–94 doi:10.1006/nimg.1998.0395 pmid:9931268

    CrossRefPubMedWeb of Science
30. 30.↵
    1. Martínez-Heras E,
    2. Varriano F,
    3. Prčkovska V, et al

    . Improved framework for tractography reconstruction of the optic radiation. PLoS One 2015;10:e0137064 doi:10.1371/journal.pone.0137064 pmid:26376179

    CrossRefPubMed
31. 31.↵
    1. Ebneter A,
    2. Casson RJ,
    3. Wood JPM, et al

    . Microglial activation in the visual pathway in experimental glaucoma: spatiotemporal characterization and correlation with axonal injury. Invest Ophthalmol Vis Sci 2010;51:6448–60 doi:10.1167/iovs.10-5284 pmid:20688732

    Abstract/FREE Full Text
32. 32.↵
    1. Lee JY,
    2. Jeong HJ,
    3. Lee JH, et al

    . An investigation of lateral geniculate nucleus volume in patients with primary open-angle glaucoma using 7 Tesla magnetic resonance imaging. Invest Ophthalmol Vis Sci 2014;55:3468–76 doi:10.1167/iovs.14-13902 pmid:24722700

    Abstract/FREE Full Text
33. 33.↵
    1. Zhang YQ,
    2. Li J,
    3. Xu L, et al

    . Anterior visual pathway assessment by magnetic resonance imaging in normal-pressure glaucoma. Acta Ophthalmol 2012;90:e295–302 doi:10.1111/j.1755-3768.2011.02346.x pmid:22489916

    CrossRefPubMed
34. 34.↵
    1. Chen Z,
    2. Wang J,
    3. Lin F, et al

    . Correlation between lateral geniculate nucleus atrophy and damage to the optic disc in glaucoma. J Neuroradiol 2013;40:281–87 doi:10.1016/j.neurad.2012.10.004 pmid:23433902

    CrossRefPubMed
35. 35.↵
    1. Gupta N,
    2. Greenberg G,
    3. de Tilly LN, et al

    . Atrophy of the lateral geniculate nucleus in human glaucoma detected by magnetic resonance imaging. Br J Ophthalmol 2009;93:56–60 doi:10.1136/bjo.2008.138172 pmid:18697810

    Abstract/FREE Full Text
36. 36.↵
    1. Boucard CC,
    2. Hernowo AT,
    3. Maguire RP, et al

    . Changes in cortical grey matter density associated with long-standing retinal visual field defects. Brain 2009;132:1898–1906 doi:10.1093/brain/awp119 pmid:19467992

    CrossRefPubMedWeb of Science
37. 37.↵
    1. Zhang S,
    2. Wang B,
    3. Xie Y, et al

    . Retinotopic changes in the gray matter volume and cerebral blood flow in the primary visual cortex of patients with primary open-angle glaucoma. Invest Ophthalmol Vis Sci 2015;56:6171–78 doi:10.1167/iovs.15-17286 pmid:26406275

    CrossRefPubMed
38. 38.↵
    1. Fukuda M,
    2. Omodaka K,
    3. Tatewaki Y, et al

    . Quantitative MRI evaluation of glaucomatous changes in the visual pathway. PLoS One 2018;13:e0197027 doi:10.1371/journal.pone.0197027 pmid:29985921

    CrossRefPubMed
39. 39.↵
    1. Haykal S,
    2. Jansonius NM,
    3. Cornelissen FW

    . Progression of visual pathway degeneration in primary open-angle glaucoma: a longitudinal study. Front Hum Neurosci 2021;15:630898–11 doi:10.3389/fnhum.2021.630898 pmid:33854423

    CrossRefPubMed
40. 40.↵
    1. You Y,
    2. Joseph C,
    3. Wang C, et al

    . Demyelination precedes axonal loss in the transneuronal spread of human neurodegenerative disease. Brain 2019;142:426–42 doi:10.1093/brain/awy338 pmid:30668642

    CrossRefPubMed
41. 41.↵
    1. Mastropietro A,
    2. Rizzo G,
    3. Fontana L, et al

    . Microstructural characterization of corticospinal tract in subacute and chronic stroke patients with distal lesions by means of advanced diffusion MRI. Neuroradiology 2019;61:1033–45 doi:10.1007/s00234-019-02249-2 pmid:31263922

    CrossRefPubMed
42. 42.↵
    1. Sacco S,
    2. Caverzasi E,
    3. Papinutto N, et al

    . Neurite orientation dispersion and density imaging for assessing acute inflammation and lesion evolution in MS. AJNR Am J Neuroradiol 2020;41:2219–26 doi:10.3174/ajnr.a6862 pmid:33154077

    Abstract/FREE Full Text
43. 43.↵
    1. Luo T,
    2. Oladosu O,
    3. Rawji KS, et al

    . Characterizing structural changes with devolving remyelination following experimental demyelination using high angular resolution diffusion MRI and texture analysis. J Magn Reson Imaging 2019;49:1750–59 doi:10.1002/jmri.26328 pmid:30230112

    CrossRefPubMed