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研究業績詳細

Christina Andica(クリスティーナ アンディカ)

研究テーマ Investigating brain tissue microstructure alterations using advanced MRI techniques
研究業績(論文) 1. Andica C, Soetikno RD. Chiari Malformation Type III: Case Report and Review of the Literature. Radiology Case Report 2013;8(3):831.
2. Hagiwara A, Nakazawa M, Andica C, Tsuruta K, Takano N, Hori M, Suzuki H, Sugano H, Arai H, Aoki S. Dural Enhancement in a Patient with Sturge-Weber Syndrome Revealed by Double Inversion Recovery Image Using Synthetic MRI. Magn Reson Med Sci 2016;15(2):151-152.
3. Hagiwara A, Hori M, Michimasa S, Andica C, Nakazawa M, Tsuruta K, Takano N, Sato S, Hamasaki N, Yoshida M, Kumamaru KK, Ohtomo K, Aoki S. Contrast-enhanced synthetic MRI for the detection of brain metastases. Acta Radiol Open 2016;5(2).
4. Andica C, Hagiwara A, Nakazawa M, Tsuruta K, Takano N, Hori M, Hiroharu Suzuki, Hidenori Sugeno, Hajime Arai, Shigeki Aoki. The Advantage of Synthetic MRI for the Visualization of Early White Matter Change in an Infant with Sturge-Weber Syndrome. Magn Reson Med Sci 2016;15(4):347-348.
5. Hagiwara A, Hori M, Yokoyama K, Takemura MY, Andica C, Kumamaru KK, Nakazawa M, Takano N, Kawasaki H, Sato S, Hamasaki N, Kunimatsu A, Aoki S. Utility of a Multi-Parametric Quantitative MRI Model that Assesses Myelin and Edema for Evaluating Plaques, Periplaque White Matter, and Normal-Appearing White Matter in Patients with Multiple Sclerosis: A Feasibility Study. AJNR Am J Neuroradiol 2017;38(2):237-242.
6. Hagiwara A, Hori M, Yokoyama K, Takemura MY, Andica C, Tabata T, Kamagata K, Suzuki M, Kumamaru KK, Nakazawa M, Takano N, Kawasaki H, Hamasaki N, Kunimatsu A, Aoki S. Synthetic MRI in the Detection of Multiple Sclerosis Plaques. AJNR Am J Neuroradiol 2017;38(2): 257-263.
7. Andica C, Hagiwara A, Nakazawa M, Kumamaru KK, Hori M, Ikeno M, Shimizu T, Aoki S. Synthetic MR Images in the Diagnosis of Bacterial Meningitis. Magn Reson Med Sci 2017;16:91-92.
8. Hagiwara A, Warntjes M, Hori M, Andica C, Nakazawa M, Kumamaru KK, Osamu A, Aoki S. SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement. Invest Radiol 2017;52(10):647-657.
9. Hagiwara A, Hori M, Yokoyama K, Nakazawa M, Ueda R, Horita M, Andica C, Abe O, Aoki S. Analysis of White Matter Damage in Patients with Multiple Sclerosis via a Novel In Vivo MR Method for Measuring Myelin, Axons, and G-Ratio. AJNR Am J Neuroradiol 2017;38(10): 1934-1940.
10. Hagiwara A, Andica C, Hori M, Aoki S. Synthetic MRI showed increased myelin partial volume in the white matter of a patient with Sturge-Weber syndrome. Neuroradiology 2017;59(11):1065-1066.
11. Andica C, Saito A, Murata S, Hattori A, Ikenouchi Y, Hori M, Aoki S. Diffusion Magnetic Resonance Imaging: From Isotropic Diffusion-Weighted Imaging to Diffusion Tensor Imaging and Beyond. Juntendo Medical Journal 2017;63(4): 285-292.
12. Andica C, Hori M, Kamiya K, Koshino S, Hagiwara A, Kamagata K, Fukunaga I Hamasaki N, Suzuki M, Feiweier T, Murata K, Arakawa A, Akihide K, Akiyama O, Aoki S. Spatial Restriction within Intracranial Epidermoid Cysts Observed Using Short Diffusion-time Diffusion-weighted Imaging. Magn Reson Med Sci 2018;17(3):269-272.
13. Andica C, Hagiwara A, Hori M, Nakazawa M, Goto M, Koshino S, Kamagata K, Kumamaru KK, Aoki S. Automated brain tissue and myelin volumetry based on quantitative MR imaging with various in-plane resolutions. J Neuroradiol 2018;45(3):164-168.
14. Wallaert L, Hagiwara A, Andica C, Hori M, Yamashiro K, Koshino S, Maekawa T, Kamagata K, Aoki S. The Advantage of Synthetic MRI for the Visualization of Anterior Temporal Pole Lesions by Double Inversion recovery (DIR), Phase-Sensitive Inversion Recovery (PSIR), and Myelin Images in a Patient with CADASIL. Magn Reson Med Sci 2018;17(4):275-276.
15. Hagiwara A, Hori M, Kamagata K, Warntjes M, Matsuyoshi D, Nakazawa M, Ueda R, Andica C, Koshino S, Maekawa T, Irie R, Takamura T, Kumamaru KK, Abe O, Aoki S. Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods. Sci Rep 2018;8(1):10554.
16. Maekawa T, Hori M, Murata K, Feiweier T, Fukunaga I, Andica C, Hagiwara A, Kamagata K, Koshino S, Abe O, Aoki S. Changes in the ADC of diffusion-weighted MRI with the oscillating gradient spin-echo (OGSE) sequence due to differences in substrate viscosities. Jpn J Radiol 2018;36(7):415-420).
17. Andica C, Kamagata K, Hatano T, Okuzumi A, Saito A, Nakazawa M, Ueda R, Motoi Y, Kamiya K, Suzuki M, Hori M, Kumamaru KK, Hattori N, Aoki S. Neurite orientation dispersion and density imaging of the nigrostriatal pathway in Parkinson's disease: Retrograde degeneration observed by tract-profile analysis. Parkinsonism Relat Disord 2018;51:55-60.
18. Chougar L, Hagiwara L, Maekawa T, Hori M, Andica C, Iimura Y, Sugano H, Aoki S. Limitation of neurite orientation dispersion and density imaging for the detection of focal cortical dysplasia with a "transmantle sign". Phys Med 2018;52:183-184. IF: 2.532
19. Boonrod A, Hagiwara A, Hori M, Fukunaga I, Andica C, Maekawa T, Aoki S. Reduced Visualization of Cerebral Infarction on Diffusion-Weighted Images with Short Diffusion Times. Neuroradiology 2018;60(9):979-982.
20. Hagiwara A, Hori M, Cohen-Adad J, Nakazawa M, Suzuki Y, Kasahara A, Horita M, Haruyama T, Andica C, Maekawa T, Kamagata K, Kumamaru KK, Abe O, Aoki S. Linearity, Bias, Intrascanner Repeatability, and Interscanner Reproducibility of Quantitative Multidynamic Multiecho Sequence for Rapid Simultaneous Relaxometry at 3 T: A Validation Study with a Standardized Phantom and Healthy Controls. Invest Radiol 2019;54(1):39-47).
21. Maekawa T, Hagiwara A, Hori M, Andica C, Haruyama T, Kuramochi M, Nakazawa M, Koshino S, Irie R, Kamagata K, Wada A, Abe O, Aoki S. Effect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRI. AJNR AM J Neuroradiol 2019;40(2):231-237.
22. Maekawa T, Hori M, Murata K, Feiweier T, Andica C, Fukunaga I, Koshino S, Hagiwara A, Kamiya K, Kamagata K, Wada A, Abe O, Aoki S. Choroid plexus cysts analyzed using diffusion-weighted imaging with short diffusion-time. Magn Reson Imaging 2019;57:323-327.
23. Hagiwara A, Otsuka Y, Hori M, Tachibana Y, Yokoyama K, Fujita S, Andica C, Kamagata K, Irie R, Koshino S, Maekawa T, Chougar L, Wada A, Takemura MY, Hattori N, Aoki S. Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation. AJNR AM J Neuroradiol 2019;40(2):224-230.
24. Fujita S, Nakazawa M, Hagiwara A, Ueda R, Horita M, Maekawa T, Irie R, Andica C, Kunishima Kumamaru K, Hori M, Aoki S. Estimation of Gadolinium-based Contrast Agent Concentration Using Quantitative Synthetic MRI and Its Application to Brain Metastases: A Feasibility Study. Magn Reson Med Sci 2019;18(4):260-264.
25. Andica C, Hagiwara A, Hori M, Kamagata K, Koshino S, Maekawa T, Suzuki M, Fujiwara H, Ikeno M, Shimizu T, Suzuki H, Sugano H, Arai H, Aoki S. Review of synthetic MRI in pediatric brains: Basic principle of MR quantification, its features, clinical applications, and limitations. J Neuroradiol 2019;46(4):268-275.
26. Chougar L, Hagiwara A, Takano N, Andica C, Cohen-Adad J, Warntjes M, Maekawa T, Hori M, Koshino S, Nakazawa M, Abe O, Aoki S. Signal Intensity within Cerebral Venous Sinuses on Synthetic MRI. Magn Reson Med Sci 2020;19(1):56-63.
27. Fujita S, Hagiwara A, Hori M, Warntjes M, Kamagata K, Fukunaga I, Goto M, Takuya H, Takasu K, Andica C, Maekawa T, Takemura MY, Irie R, Wada A, Suzuki M, Aoki S. 3D quantitative synthetic MRI-derived cortical thickness and subcortical brain volumes: Scan-rescan repeatability and comparison with conventional T1 -weighted images. J Magn Reson Imaging 2019;50(6):1834-1842.
28. Saito A, Kamagata K, Ueda R, Nakazawa M, Andica C, Irie R, Nakajima M, Miyajima M, Hori M, Tanaka F, Arai H, Aoki S. Ventricular volumetry and free-water corrected diffusion tensor imaging of the anterior thalamic radiation in idiopathic normal pressure hydrocephalus. J Neuroradiol 2020;47(4):312-317.
29. Andica C, Hagiwara A, Kamagata K, Yokoyama K, Shimoji K, Saito A, Takenaka Y, Nakazawa M, Hori M, Cohen-Adad J, Takemura MY, Hattori N, Aoki S. Gray Matter Alterations in Early and Late Relapsing-Remitting Multiple Sclerosis Evaluated with Synthetic Quantitative Magnetic Resonance Imaging. Sci Rep 2019;9(1):8147.
30. Saccenti L, Andica C, Hagiwara A, Yokoyama K, Takemura MY, Fujita S, Maekawa T, Kamagata K, Le Berre A, Hori M, Hattori N, Aoki S. Brain tissue and myelin volumetric analysis in multiple sclerosis at 3T MRI with various in-plane resolutions using synthetic MRI. Neuroradiology 2019;61(11):1219-1227.
31. Hattori A, Kamagata K, Kirino E, Andica C, Tanaka S, Hagiwara A, Fujita S, Maekawa T, Irie R, Kumamaru KK, Suzuki M, Wada A, Hori M, Aoki S. White matter alterations in adult with autism spectrum disorder evaluated using diffusion kurtosis imaging. Neuroradiology 2019;61(12):1343-1353.
32. Murata S, Tachibana Y, Murata K, Kamagata K, Hori M, Andica C, Suzuki M, Wada A, Kumamaru K, Hagiwara A, Irie R, Sato S, Hamasaki N, Fukunaga I, Hoshito H, Aoki S. Comparison of magnetization transfer contrast of conventional and simultaneous multislice turbo spin echo acquisitions focusing on excitation time interval. Jpn J Radiol 2019;37(8):579-589.
33. Andica C, Hagiwara A, Hori M, Haruyama T, Fujita S, Maekawa T, Kamagata K, Yoshida MT, Suzuki M, Sugano H, Arai H, Aoki S. Aberrant myelination in patients with Sturge-Weber syndrome analyzed using synthetic quantitative magnetic resonance imaging. Neuroradiology 2019;61(9):1055-1066.
34. Andica C, Kamagata K, Hatano T, Saito A, Uchida W, Ogawa T, Takeshige-Amano H, Zalesky A, Wada A, Suzuki M, Hagiwara A, Irie R, Hori M, Kumamaru KK, Oyama G, Shimo Y, Umemura A, Pantelis C, Hattori N, Aoki S. Free-water Imaging in White and Gray Matter in Parkinson's Disease. Cells 2019:8(8);839.
35. Maekawa T, Hori M, Murata K, Feiweier T, Andica C, Fukunaga I, Koshino S, Hagiwara A, Kamiya K, Kamagata K, Wada A, Abe O, Aoki S. Choroid plexus cysts analyzed using diffusion-weighted imaging with short diffusion-time. Magn Reson Imaging 2019;57:323-327.
36. Kamagata K, Zalesky A, Yokoyama K, Andica C, Hagiwara A, Shimoji K, Kumamaru KK, Takemura MY, Hoshino Y, Kamiya K, Hori M, Pantelis C, Hattori N, Aoki S. MR g-ratio-weighted connectome analysis in patients with multiple sclerosis. Sci Rep 2019;9(1):13522.
37. Le Berre A, Kamagata K, Otsuka Y, Andica C, Hatano T, Saccenti L, Ogawa T, Takeshige-Amano H, Wada A, Suzuki M, Hagiwara A, Irie R, Hori M, Oyama G, Shimo Y, Umemura A, Hattori N, Aoki S. Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI. Neuroradiology 2019;61(12):1387-1395.
38. Fujita S, Hagiwara A, Hori M, Warntjes M, Kamagata K, Fukunaga I, Andica C, Maekawa T, Irie R, Takemura MY, Kumamaru KK, Wada A, Suzuki M, Ozaki Y, Abe O, Aoki S. Three-dimensional high-resolution simultaneous quantitative mapping of the whole brain with 3D-QALAS: An accuracy and repeatability study. Magn Reson Imaging 2019;63:235-243.
39. Hagiwara A, Kamagata K, Shimoji K, Yokoyama K, Andica C, Hori M, Fujita S, Maekawa T, Irie R, Akashi T, Wada A, Suzuki M, Abe O, Hattori N, Aoki S. White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging. AJNR Am J Neuroradiol 2019;40(10):1642-1648.
40. Andica C, Kamagata K, Hatano T, Saito Y, Ogaki K, Hattori N, Aoki S. MR Biomarkers of Degenerative Brain Disorders Derived from Diffusion Imaging. J Magn Reson Imaging 2020;52(6):1620-1636.
41. Ikenouchi Y, Kamagata K, Andica C, Hatano T, Ogawa T, Takeshige-Amano H, Kamiya K, Wada A, Suzuki M, Fujita S, Hagiwara A, Irie R, Hori M, Oyama G, Shimo Y, Umemura A, Hattori N, Aoki S. Evaluation of white matter microstructure in patients with Parkinson’s disease using microscopic fractional anisotropy. Neuroradiology 2020;62(2):197-203.
42. Andica C, Kamagata K, Hayashi T, Hagiwara A, Uchida W, Saito Y, Kamiya K, Fujita S, Akashi T, Wada A, Abe M, Kusahara H, Hori M, Aoki S. Scan-rescan and inter-vendor reproducibility of neurite orientation dispersion and density imaging metrics. Neuroradiology 2020;62(4):483-494.
43. Fujita S, Hagiwara A, Otsuka Y, Hori M, Takei N, Hwang KP, Irie R, Andica C, Kamagata K, Akashi T, Kunishima Kumamaru K, Suzuki M, Wada A, Abe O, Aoki S. Deep Learning Approach for Generating MRA Images From 3D Quantitative Synthetic MRI Without Additional Scans. Invest Radiol 2020;55(4):249-256.
44. Andica C, Kamagata K, Hatano T, Saito Y, Uchida W, Ogawa T, Takeshige-Amano H, Hagiwara A, Murata S, Oyama G, SHimo Y, Umemura A, Akashi T, Wada A, Kumamaru KK, Hori M, Hattori N, Aoki S. Neurocognitive and psychiatric disorders-related axonal degeneration in Parkinson’s disease. J Neurosci Res 2020;98(5):936-949.
45. Saccenti L, Hagiwara A, Andica C, Yokoyama K, Fujita S, Kato S, Maekawa T, Kamagata K, Le Berre A, Hori M, Wada A, Tateishi U, Hattori N, Aoki S. Myelin Measurement Using Quantitative Magnetic Resonance Imaging: A Correlation Study Comparing Various Imaging Techniques in Patients with Multiple Sclerosis. Cells 2020;9(2):393.
46. Kamagata K, Andica C, Hatano T, Ogawa T, Takeshige-Amano H, Ogaki K, Akashi T, Hagiwara A, Fujita S, Aoki S. Advanced diffusion magnetic resonance imaging in patients with Alzheimer's and Parkinson's diseases. Neural Regen Res 2020;15(9):1590-1600.
47. Hagiwara A, Hori M, Andica C, Abe O, Aoki S. Myelin Imaging Can Be Affected by a Number of Factors. AJNR Am J Neuroradiol 2020;41(6):E43-E44.
48. Maekawa T, Hori M, Murata K, Feiweier T, Kamiya K, Andica C, Hagiwara A, Fujita S, Koshino S, Akashi T, Kamagata K, Wada A, Abe O, Aoki S. Differentiation of high-grade and low-grade intra-axial brain tumors by time-dependent diffusion MRI. Magn Reson Imaging 2020;72:34-41.
49. Fukuo M, Kamagata K, Kuramochi M, Andica C, Tomita H, Waki H, Sugano H, Tange Y, Mitsuhashi T, Uchida W, Takenaka Y, Hagiwara A, Harada M, Goto M, Hori M, Aoki S, Naito H. Regional brain gray matter volume in world-class artistic gymnasts. J Physiol Sci 2020;70(1):43.
50. Kamiya K, Kamagata K, Ogaki K, Hatano T, Ogawa T, Takeshige-Amano H, Murata S, Andica C, Murata K, Feiweier T, Hori M, Hattori N, Aoki S. Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding. Front Neurosci 2020;14:584510.
51. Andica C, Tomita H, Kamagata K, Uchida W, Murata S, Hagiwara A, Fukuo M, Waki H, Sugano H, Tange Y, Mitsuhashi T, Harada M, Naito H, Hori M, Aoki S. White Matter Myelin Changes Related to Long-term Intensive Training in Japanese World-class Gymnasts. Juntendo Medical Journal 2020;6(1):21-28.
52. Fujita S, Yokoyama K, Hagiwara A, Kato S, Andica C, Kamagata K, Hattori N, Abe O, Aoki S. 3D Quantittaive Synthetic MRI in the Evaluation of Multiple Sclerosis Lesions. AJNR Am J Neuroradiol 2021;42(3):471-478.
53. Fujita S, Hagiwara A, Takei N, Hwang KP, Fukunaga I, Kato S, Andica C, Kamagata K, Yokoyama K, Hattori N, Abe O, Aoki S. Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing: A Phantom, Volunteer, and Patient Study. Invest Radiol 2021;56(5):292-300.
54. Murata S, Hagiwara A, Fujita S, Haruyama T, Kato S, Andica C, Kamagata K, Goto M, Hori M, Yoneyama M, Hamasaki N, Hoshito H, Aoki S. Effect of hybrid of compressed sensing and parallel imaging on the quantitative values measured by 3D quantitative synthetic MRI: A phantom study. Magn Reson Imaging 2021;78:90-97.
55. Yasaka K, Kamagata K, Ogawa T, Hatano T, Takeshige-Amano H, Ogaki K, Andica C, Akai H, Kunimatsu A, Uchida W, Hattori N, Aoki S, Abe O. Parkinson's disease: deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation. Neuroradiology 2021;63(9):1451-1462.
56. Hagiwara A, Otsuka Y, Andica C, Kato S, Yokoyama K, Hori M, Fujita S, Kamagata K, Hattori N, Aoki S. Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network. J Clin Neurosci 2021;87:55-58.
57. Hagiwara A, Fujimoto K, Kamagata K, Murata S, Irie R, Kaga H, Someya Y, Andica C, Fujita S, Kato S, Fukunaga I, Wada A, Hori M, Tamura Y, Kawamori R, Watada H, Aoki S. Age-Related Changes in Relaxation Times, Proton Density, Myelin, and Tissue Volumes in Adult Brain Analyzed by 2-Dimensional Quantitative Synthetic Magnetic Resonance Imaging. Invest Radiol 2021;56(3):163-172.
58. Koinuma T, Hatano T, Kamagata K, Andica C, Mori A, Ogawa T, Takeshige-Amano H, Uchida W, Saiki S, Okuzumi A, Ueno SI, Oji Y, Saito Y, Hori M, Aoki S, Hattori N. Diffusion MRI captures white matter microstructure alterations in PRKN Disease. J Parkinsons Dis 2021;11(3):1221-1235.
59. Ueno U, Saito A, Nakata J, Kamagata K, Taniguchi D, Motoi Y, Io H, Andica C, Shindo A, Shiina K, Miyamoto N, Yamashiro K, Urabe T, Suzuki Y, Aoki S, Hattori N. Possible neuroprotective effects of l-carnitine on white-matter microstructural damage and cognitive decline in hemodialysis patients. Nutrients 2021;13(4):1292.
60. Andica C, Kamagata K, Saito Y, Uchida W, Fujita S, Hagiwara A, Akashi T, Wada A, Ogawa T, Hatano T, Hattori N, Aoki S. Fiber-specific white matter alterations in early-stage tremor-dominant Parkinson’s disease. NPJ Parkinsons Dis 2021;7(1):51.
61. Andica C, Kamagata K, Kirino E, Uchida W, Irie R, Murata S, Aoki S. Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism. Mol Autism 2021;12(1):48.
62. Tomita H, Kamagata K, Andica C, Uchida W, Fukuo M, Waki H, Sugano H, Tange Y, Mitsuhashi T, Lukies M, Hagiwara A, Fujita S, Wada A, Akashi T, Murata S, Harada M, Aoki S, Naito H. Connectome analysis of male world-class gymnasts using probabilistic multishell, multitissue constrained spherical deconvolution tracking. J Neurosci Res 2021;99(10):2558-2572.
63. Murata S, Hagiwara A, Kaga H, Someya Y, Nemoto K, Goto M, Kamagata K, Irie R, Hori M, Andica C, Wada A, Kumamaru KK, Shimoji K, Otsuka Y, Hoshito H, Tamura Y, Kawamori R, Watada H, Aoki S. Comparison of brain volume measurements made with 0.3- and 3-T MR Imaging. Magn Reson Med Sci 21(3): 517-524, 2022.
64. Kamagata K, Andica C, Kato A, Saito Y, Uchida W, Hatano T, Lukies M, Ogawa T, Takeshige-Amano H, Akashi T, Hagiwara A, Fujita S, Aoki S. Diffusion Magnetic Resonance Imaging-Based Biomarkers for Neurodegenerative Diseases. Int J Mol Sci 2021;22(10):5216.
65. Ogawa T, Hatano T, Kamagata K, Andica C, Takeshige-Amano H, Uchida W, Kamiyama D, Shimo Y, Oyama G, Umemura A, Iwamuro H, Ito M, Hori M, Aoki S, Hattori N. White matter and nigral alterations in multiple system atrophy-parkinsonian type. NPJ Parkinsons Dis 2021;7(1):96.
66. Ogawa T, Hatano T, Kamagata K, Andica C, Takeshige-Amano H, Uchida W, Saito Y, Kamiyama D, Shimo Y, Oyama G, Umemura A, Iwamuro H, Ito M, Hori M, Aoki S, Hattori N. White matter alterations in Parkinson’s disease with levodopa-induced dyskinesia. Parkinsonism Relat Disord 2021;90:8-14.
67. Kikuta J, Kamagata K, Takabayashi K, Taoka T, Yokota H, Andica C, Wada A, Someya Y, Tamura Y, Kawamori R, Watada H, Naganawa S, Aoki S. An investigation of water diffusivity changes along the perivascular space in elderly subjects with hypertension. AJNR Am J Neuroradiol 43(1): 48-55, 2022.
68. Andica C, Hagiwara A, Yokoyama K, Kato S, Uchida W, Nishimura Y, Fujita S, Kamagata K, Hori M, Tomizawa Y, Hattori N, Aoki S. Multimodal magnetic resonance imaging quantification of gray matter alterations in relapsing-remitting multiple sclerosis and neuromyelitis optica spectrum disorder. J Neurosci Res 100(7): 1395-1412, 2022.
69. Shimpei K, Hagiwara A, Yokoyama K, Andica C, Tomizawa Y, Hoshino Y, Uchida W, Nishimura Y, Fujita S, Kamagata K, Hori M, Hattori N, Abe O, Aoki S. Microstructural white matter abnormalities in multiple sclerosis and neuromyelitis optica spectrum disorders: Evaluation by advanced diffusion imaging. J Neurol Sci 436: 120205, 2022.
70. Andica C, Kamagata K, Uchida W, Takabayashi K, Shimoji K, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Hori M, Aoki S. White matter fiber-specific degeneration in older adults with metabolic syndrome. Mol Metab 101527, 2022.
71. Kamagata K*, Andica C*, Takabayashi K, Saito Y, Taoka T, Nozaki H, Kikuta J, Fujita S, Hagiwara A, Kamiya K, Wada A, Akashi T, Sano K, Nishizawa M, Hori M, Naganawa S, Aoki S. Association of MRI Indices of Glymphatic System with Amyloid Deposition and Cognition in Mild Cognitive Impairment and Alzheimer Disease. Neurology 2022;99(24):e2648-60. *Equal first-author-level contribution.
72. Andica C, Kamagata K, Takabayashi K, Kikuta J, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Taoka T, Naganawa S, Aoki S. Neuroimaging findings related to glymphatic system alterations in older adults with metabolic syndrome. Neurobiol Dis 2023;177:105990.
73. Andica C, Kamagata K, Aoki S. Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging. Anat Sci Int 2023;98(3):318-336.
74. Maekawa T, Hori M, Murata K, Feiweier T, Kamiya K, Andica C, Hagiwara A, Fujita S, Kamagata K, Wada A, Abe O, Aoki S. Investigation of time-dependent diffusion in extra-axial brain tumors using oscillating-gradient spin-echo. Magn Reson Imaging 2023;96:67-74.
75. Saito Y, Kamagata K, Andica C, Uchida W, Takabayashi K, Yoshida S, Nakaya M, Tanaka Y, Kamiyo S, Sato K, Nishizawa M, Akashi T, Shimoji K, Wada A, Aoki S. Reproducibilty of automated calculation technique for diffusion tensor image analysis along the perivascular space. Jpn J Radiol 2023 (Online ahead of print).
76. Hara S, Hori M, Kamagata K, Andica C, Inaji M, Tanaka Y, Aoki S, Nariai T, Maehara T. Increased Parenchymal Free Water May Be Decreased by Revascularization Surgery in Patients with Moyamoya Disease. Magn Reson Med Sci 2023 (Online ahead of print).
77. Saito Y, Kamagata K, Andica C, Taoka T, Tuerxun R, Uchida W, Takabayashi K, Owaki M, Yoshida S, Yamazaki K, Naganawa S, Aoki S. Multisite harmonization of diffusion tensor image analysis along the perivascular space using the COMBined Association Test. Jpn J Radiol 2023 (Online ahead of print).
78. Hagiwara A, Fujita S, Kurokawa R, Andica C, Kamagata K, Aoki S. Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics. Invest Radiol 2023 (Online ahead of print).
79. Morita Y, Kamagata K, Andica C, Takabayashi K, Kikuta J, Fujita S, Samoyeau T, Uchida W, Saito Y, Tabata H, Naito H, Someya Y, Kaga H, Tamura Y, Miyata M, Akashi T, Wada A, Taoka T, Naganawa S, Watada H, Kawamori R, Abe O, Aoki S. Glymphatic system impairment in nonathlete older male adults who played contact sports in their youth associated with cognitive decline: A diffusion tensor image analysis along the perivascular space study. Front Neurol 2023;14:1100736.
80. Saito Y, Kamagata K, Andica C, Uchida W, Takabayashi K, Yoshida S, Nakaya M, Tanaka Y, Kamio S, Sato K, Nishizawa M, Akashi T, Shimoji K, Wada A, Aoki S. Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS). Jpn J Radiol 2023 (Online ahead of print).
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