121 results on '"Andica C"'
Search Results
2. An Investigation of Water Diffusivity Changes along the Perivascular Space in Elderly Subjects with Hypertension
- Author
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Kikuta, J., primary, Kamagata, K., additional, Takabayashi, K., additional, Taoka, T., additional, Yokota, H., additional, Andica, C., additional, Wada, A., additional, Someya, Y., additional, Tamura, Y., additional, Kawamori, R., additional, Watada, H., additional, Naganawa, S., additional, and Aoki, S., additional
- Published
- 2021
- Full Text
- View/download PDF
3. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
- Author
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Schilling, KG, Rheault, F, Petit, L, Hansen, CB, Nath, V, Yeh, F-C, Girard, G, Barakovic, M, Rafael-Patino, J, Yu, T, Fischi-Gomez, E, Pizzolato, M, Ocampo-Pineda, M, Schiavi, S, Canales-Rodriguez, EJ, Daducci, A, Granziera, C, Innocenti, G, Thiran, J-P, Mancini, L, Wastling, S, Cocozza, S, Petracca, M, Pontillo, G, Mancini, M, Vos, SB, Vakharia, VN, Duncan, JS, Melero, H, Manzanedo, L, Sanz-Morales, E, Pena-Melian, A, Calamante, F, Attye, A, Cabeen, RP, Korobova, L, Toga, AW, Vijayakumari, AA, Parker, D, Verma, R, Radwan, A, Sunaert, S, Emsell, L, De Luca, A, Leemans, A, Bajada, CJ, Haroon, H, Azadbakht, H, Chamberland, M, Genc, S, Tax, CMW, Yeh, P-H, Srikanchana, R, Mcknight, CD, Yang, JY-M, Chen, J, Kelly, CE, Yeh, C-H, Cochereau, J, Maller, JJ, Welton, T, Almairac, F, Seunarine, KK, Clark, CA, Zhang, F, Makris, N, Golby, A, Rathi, Y, O'Donnell, LJ, Xia, Y, Aydogan, DB, Shi, Y, Fernandes, FG, Raemaekers, M, Warrington, S, Michielse, S, Ramirez-Manzanares, A, Concha, L, Aranda, R, Meraz, MR, Lerma-Usabiaga, G, Roitman, L, Fekonja, LS, Calarco, N, Joseph, M, Nakua, H, Voineskos, AN, Karan, P, Grenier, G, Legarreta, JH, Adluru, N, Nair, VA, Prabhakaran, V, Alexander, AL, Kamagata, K, Saito, Y, Uchida, W, Andica, C, Abe, M, Bayrak, RG, Wheeler-Kingshott, CAMG, D'Angelo, E, Palesi, F, Savini, G, Rolandi, N, Guevara, P, Houenou, J, Lopez-Lopez, N, Mangin, J-F, Poupon, C, Roman, C, Vazquez, A, Maffei, C, Arantes, M, Andrade, JP, Silva, SM, Calhoun, VD, Caverzasi, E, Sacco, S, Lauricella, M, Pestilli, F, Bullock, D, Zhan, Y, Brignoni-Perez, E, Lebel, C, Reynolds, JE, Nestrasil, I, Labounek, R, Lenglet, C, Paulson, A, Aulicka, S, Heilbronner, SR, Heuer, K, Chandio, BQ, Guaje, J, Tang, W, Garyfallidis, E, Raja, R, Anderson, AW, Landman, BA, Descoteaux, M, Schilling, KG, Rheault, F, Petit, L, Hansen, CB, Nath, V, Yeh, F-C, Girard, G, Barakovic, M, Rafael-Patino, J, Yu, T, Fischi-Gomez, E, Pizzolato, M, Ocampo-Pineda, M, Schiavi, S, Canales-Rodriguez, EJ, Daducci, A, Granziera, C, Innocenti, G, Thiran, J-P, Mancini, L, Wastling, S, Cocozza, S, Petracca, M, Pontillo, G, Mancini, M, Vos, SB, Vakharia, VN, Duncan, JS, Melero, H, Manzanedo, L, Sanz-Morales, E, Pena-Melian, A, Calamante, F, Attye, A, Cabeen, RP, Korobova, L, Toga, AW, Vijayakumari, AA, Parker, D, Verma, R, Radwan, A, Sunaert, S, Emsell, L, De Luca, A, Leemans, A, Bajada, CJ, Haroon, H, Azadbakht, H, Chamberland, M, Genc, S, Tax, CMW, Yeh, P-H, Srikanchana, R, Mcknight, CD, Yang, JY-M, Chen, J, Kelly, CE, Yeh, C-H, Cochereau, J, Maller, JJ, Welton, T, Almairac, F, Seunarine, KK, Clark, CA, Zhang, F, Makris, N, Golby, A, Rathi, Y, O'Donnell, LJ, Xia, Y, Aydogan, DB, Shi, Y, Fernandes, FG, Raemaekers, M, Warrington, S, Michielse, S, Ramirez-Manzanares, A, Concha, L, Aranda, R, Meraz, MR, Lerma-Usabiaga, G, Roitman, L, Fekonja, LS, Calarco, N, Joseph, M, Nakua, H, Voineskos, AN, Karan, P, Grenier, G, Legarreta, JH, Adluru, N, Nair, VA, Prabhakaran, V, Alexander, AL, Kamagata, K, Saito, Y, Uchida, W, Andica, C, Abe, M, Bayrak, RG, Wheeler-Kingshott, CAMG, D'Angelo, E, Palesi, F, Savini, G, Rolandi, N, Guevara, P, Houenou, J, Lopez-Lopez, N, Mangin, J-F, Poupon, C, Roman, C, Vazquez, A, Maffei, C, Arantes, M, Andrade, JP, Silva, SM, Calhoun, VD, Caverzasi, E, Sacco, S, Lauricella, M, Pestilli, F, Bullock, D, Zhan, Y, Brignoni-Perez, E, Lebel, C, Reynolds, JE, Nestrasil, I, Labounek, R, Lenglet, C, Paulson, A, Aulicka, S, Heilbronner, SR, Heuer, K, Chandio, BQ, Guaje, J, Tang, W, Garyfallidis, E, Raja, R, Anderson, AW, Landman, BA, and Descoteaux, M
- Abstract
White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation. In this study, we aim to evaluate and quantify the variability that arises from different protocols for bundle segmentation. Through an open call to users of fiber tractography, including anatomists, clinicians, and algorithm developers, 42 independent teams were given processed sets of human whole-brain streamlines and asked to segment 14 white matter fascicles on six subjects. In total, we received 57 different bundle segmentation protocols, which enabled detailed volume-based and streamline-based analyses of agreement and disagreement among protocols for each fiber pathway. Results show that even when given the exact same sets of underlying streamlines, the variability across protocols for bundle segmentation is greater than all other sources of variability in the virtual dissection process, including variability within protocols and variability across subjects. In order to foster the use of tractography bundle dissection in routine clinical settings, and as a fundamental analytical tool, future endeavors must aim to resolve and reduce this heterogeneity. Although external validation is needed to verify the anatomical accuracy of bundle dissections, reducing heterogeneity is a step towards reproducible research and may be achieved through the use of standard nomenclature and definitions of white matter bundles and well-chosen constraints and decisions in the dissection process.
- Published
- 2021
4. 3D Quantitative Synthetic MRI in the Evaluation of Multiple Sclerosis Lesions
- Author
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Fujita, S., primary, Yokoyama, K., additional, Hagiwara, A., additional, Kato, S., additional, Andica, C., additional, Kamagata, K., additional, Hattori, N., additional, Abe, O., additional, and Aoki, S., additional
- Published
- 2021
- Full Text
- View/download PDF
5. Myelin Imaging Can Be Affected by a Number of Factors
- Author
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Hagiwara, A., primary, Hori, M., additional, Andica, C., additional, Abe, O., additional, and Aoki, S., additional
- Published
- 2020
- Full Text
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6. An Investigation of Water Diffusivity Changes along the Perivascular Space in Elderly Subjects with Hypertension.
- Author
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Kikuta, J., Kamagata, K., Takabayashi, K., Taoka, T., Yokota, H., Andica, C., Wada, A., Someya, Y., Tamura, Y., Kawamori, R., Watada, H., Naganawa, S., and Aoki, S.
- Published
- 2022
- Full Text
- View/download PDF
7. Free-Water Imaging in White and Gray Matter in Parkinson's Disease
- Author
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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, 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, and Aoki, S
- Abstract
This study aimed to discriminate between neuroinflammation and neuronal degeneration in the white matter (WM) and gray matter (GM) of patients with Parkinson's disease (PD) using free-water (FW) imaging. Analysis using tract-based spatial statistics (TBSS) of 20 patients with PD and 20 healthy individuals revealed changes in FW imaging indices (i.e., reduced FW-corrected fractional anisotropy (FAT), increased FW-corrected mean, axial, and radial diffusivities (MDT, ADT, and RDT, respectively) and fractional volume of FW (FW) in somewhat more specific WM areas compared with the changes of DTI indices. The region-of-interest (ROI) analysis further supported these findings, whereby those with PD showed significantly lower FAT and higher MDT, ADT, and RDT (indices of neuronal degeneration) in anterior WM areas as well as higher FW (index of neuroinflammation) in posterior WM areas compared with the controls. Results of GM-based spatial statistics (GBSS) analysis revealed that patients with PD had significantly higher MDT, ADT, and FW than the controls, whereas ROI analysis showed significantly increased MDT and FW and a trend toward increased ADT in GM areas, corresponding to Braak stage IV. These findings support the hypothesis that neuroinflammation precedes neuronal degeneration in PD, whereas WM microstructural alterations precede changes in GM.
- Published
- 2019
8. MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
- Author
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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, 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, and Aoki, S
- Abstract
Multiple sclerosis (MS) is a brain network disconnection syndrome. Although the brain network topology in MS has been evaluated using diffusion MRI tractography, the mechanism underlying disconnection in the disorder remains unclear. In this study, we evaluated the brain network topology in MS using connectomes with connectivity strengths based on the ratio of the inner to outer myelinated axon diameter (i.e., g-ratio), thereby providing enhanced sensitivity to demyelination compared with the conventional measures of connectivity. We mapped g-ratio-based connectomes in 14 patients with MS and compared them with those of 14 age- and sex-matched healthy controls. For comparison, probabilistic tractography was also used to map connectomes based on the number of streamlines (NOS). We found that g-ratio- and NOS-based connectomes comprised significant connectivity reductions in patients with MS, predominantly in the motor, somatosensory, visual, and limbic regions. However, only the g-ratio-based connectome enabled detection of significant increases in nodal strength in patients with MS. Finally, we found that the g-ratio-weighted nodal strength in motor, visual, and limbic regions significantly correlated with inter-individual variation in measures of disease severity. The g-ratio-based connectome can serve as a sensitive biomarker for diagnosing and monitoring disease progression.
- Published
- 2019
9. White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging
- Author
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Hagiwara, A., primary, Kamagata, K., additional, Shimoji, K., additional, Yokoyama, K., additional, Andica, C., additional, Hori, M., additional, Fujita, S., additional, Maekawa, T., additional, Irie, R., additional, Akashi, T., additional, Wada, A., additional, Suzuki, M., additional, Abe, O., additional, Hattori, N., additional, and Aoki, S., additional
- Published
- 2019
- Full Text
- View/download PDF
10. Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation
- Author
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Hagiwara, A., primary, Otsuka, Y., additional, Hori, M., additional, Tachibana, Y., additional, Yokoyama, K., additional, Fujita, S., additional, Andica, C., additional, Kamagata, K., additional, Irie, R., additional, Koshino, S., additional, Maekawa, T., additional, Chougar, L., additional, Wada, A., additional, Takemura, M.Y., additional, Hattori, N., additional, and Aoki, S., additional
- Published
- 2019
- Full Text
- View/download PDF
11. Effect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRI
- Author
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Maekawa, T., primary, Hagiwara, A., additional, Hori, M., additional, Andica, C., additional, Haruyama, T., additional, Kuramochi, M., additional, Nakazawa, M., additional, Koshino, S., additional, Irie, R., additional, Kamagata, K., additional, Wada, A., additional, Abe, O., additional, and Aoki, S., additional
- Published
- 2018
- Full Text
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12. Automated brain tissue and myelin volumetry based on quantitative MR imaging with various in-plane resolutions
- Author
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Andica, C., primary, Hagiwara, A., additional, Hori, M., additional, Nakazawa, M., additional, Goto, M., additional, Koshino, S., additional, Kamagata, K., additional, Kumamaru, K.K., additional, and Aoki, S., additional
- Published
- 2018
- Full Text
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13. Analysis of White Matter Damage in Patients with Multiple Sclerosis via a Novel In Vivo MR Method for Measuring Myelin, Axons, and G-Ratio
- Author
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Hagiwara, A., primary, Hori, M., additional, Yokoyama, K., additional, Nakazawa, M., additional, Ueda, R., additional, Horita, M., additional, Andica, C., additional, Abe, O., additional, and Aoki, S., additional
- Published
- 2017
- Full Text
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14. Synthetic MRI in the Detection of Multiple Sclerosis Plaques
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Hagiwara, A., primary, Hori, M., additional, Yokoyama, K., additional, Takemura, M.Y., additional, Andica, C., additional, Tabata, T., additional, Kamagata, K., additional, Suzuki, M., additional, Kumamaru, K.K., additional, Nakazawa, M., additional, Takano, N., additional, Kawasaki, H., additional, Hamasaki, N., additional, Kunimatsu, A., additional, and Aoki, S., additional
- Published
- 2016
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15. Utility of a Multiparametric 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
- Author
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Hagiwara, A., primary, Hori, M., additional, Yokoyama, K., additional, Takemura, M.Y., additional, Andica, C., additional, Kumamaru, K.K., additional, Nakazawa, M., additional, Takano, N., additional, Kawasaki, H., additional, Sato, S., additional, Hamasaki, N., additional, Kunimatsu, A., additional, and Aoki, S., additional
- Published
- 2016
- Full Text
- View/download PDF
16. Increased Parenchymal Free Water May Be Decreased by Revascularization Surgery in Patients with Moyamoya Disease.
- Author
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Hara S, Hori M, Kamagata K, Andica C, Inaji M, Tanaka Y, Aoki S, Nariai T, and Maehara T
- Subjects
- Humans, Female, Male, Adult, Middle Aged, Brain diagnostic imaging, Brain surgery, Diffusion Magnetic Resonance Imaging methods, Neurites, Body Water metabolism, Treatment Outcome, Water, Young Adult, Moyamoya Disease surgery, Moyamoya Disease diagnostic imaging, Cerebral Revascularization methods
- Abstract
Purpose: Moyamoya disease (MMD) is a cerebrovascular disease associated with steno-occlusive changes in the arteries of the circle of Willis and with hemodynamic impairment. Previous studies have reported that parenchymal extracellular free water levels may be increased and the number of neurites may be decreased in patients with MMD. The aim of the present study was to investigate the postoperative changes in parenchymal free water and neurites and their relationship with cognitive improvement., Methods: Multi-shell diffusion MRI (neurite orientation dispersion and density imaging and free water imaging using a bi-tensor model) was performed in 15 hemispheres of 13 adult patients with MMD (11 female, mean age 37.9 years) who had undergone revascularization surgery as well as age- and sex-matched normal controls. Parameter maps of free water and free-water-eliminated neurites were created, and the regional parameter values were compared among controls, patients before surgery, and patients after surgery., Results: The anterior and middle cerebral artery territories of patients showed higher preoperative free water levels (P ≤ 0.007) and lower postoperative free water levels (P ≤ 0.001) than those of normal controls. The change in the dispersion of the white matter in the anterior cerebral artery territory correlated with cognitive improvement (r = -0.75; P = 0.004)., Conclusion: Our study suggests that increased parenchymal free water levels decreased after surgery and that postoperative changes in neurite parameters are related to postoperative cognitive improvement in adult patients with MMD. Diffusion analytical methods separately calculating free water and neurites may be useful for unraveling the pathophysiology of chronic ischemia and the postoperative changes that occur after revascularization surgery in this disease population.
- Published
- 2024
- Full Text
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17. Myelin Changes in Poor Sleepers: Insights into Glymphatic Clearance Function and Regional Circadian Clock Gene Expression.
- Author
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Andica C, Kamagata K, Takabayashi K, Mahemuti Z, Iwasaki M, Hagiwara A, Uchida W, Tabata H, Naito H, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, and Aoki S
- Abstract
Sleep is essential for maintaining brain myelin integrity. Emerging evidence suggests that poor sleep quality compromises the glymphatic system, a perivascular network crucial for brain waste clearance, leading to the accumulation of neuroinflammatory and toxic proteins, which may affect myelin integrity. Furthermore, poor sleep quality results in alterations in gene expression within the brain. We evaluated the associations among poor sleep quality, brain myelin integrity, and glymphatic clearance function as well as the impact of circadian clock gene expression on regional cortical myelin content. 50 poor sleepers (average age 71.08 ± 4.69 years; Pittsburgh Sleep Quality Index [PSQI] &;gt 5) and 50 good sleepers (average age 73.04 ± 5.80 years; PSQI ≤ 5) were assessed. Myelin volume fraction (MVF) was quantified using magnetization transfer saturation imaging, and glymphatic function was noninvasively examined using diffusion tensor imaging along the perivascular space. Circadian gene expression was analyzed using postmortem brain tissue from the Allen Human Brain Atlas. Magnetic resonance imaging measures were correlated with cognitive and depression scores. Lower MVF was observed in the fronto-temporo-parietal and limbic regions as well as in major white matter tracts in poor sleepers compared with that in good sleepers. This reduction was linked to lower cognitive function scores and higher depressive scores. Poor sleepers also exhibited lower diffusivity along the perivascular spaces, mediating the relationship between poor sleep quality and demyelination. Regions with higher expression of CLOCK, CRY2, PER1, and PER2 exhibited greater MVF disparities between good and poor sleepers, whereas lower expression of CRY1 was associated with more pronounced differences. Poor sleep quality was associated with lower brain myelin integrity, correlating with reduced cognitive performance and increased depressive symptoms. These changes might be mediated by glymphatic clearance dysfunction and were associated with the differential expression of circadian clock genes.
- Published
- 2024
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18. Reduced Diffusivity along Perivascular Spaces on MR Imaging Associated with Younger Age of First Use and Cognitive Impairment in Recreational Marijuana Users.
- Author
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Andica C, Kamagata K, Takabayashi K, Mahemuti Z, Hagiwara A, and Aoki S
- Subjects
- Humans, Male, Female, Adult, Young Adult, Diffusion Tensor Imaging, Marijuana Use epidemiology, Marijuana Use adverse effects, Age Factors, Cognitive Dysfunction diagnostic imaging, Cognitive Dysfunction etiology, Glymphatic System diagnostic imaging
- Abstract
Background and Purpose: The impairment of the glymphatic system, a perivascular network crucial for brain waste clearance, has been linked to cognitive impairment, potentially attributed to the accumulation of brain waste. Although marijuana use has been associated with poorer cognitive performance, particularly in adolescents, its influence on the glymphatic system remains unexplored. This study evaluated the influence of the age of first marijuana use and the total number of lifetime uses on the glymphatic system, measured using the index of DTI along the perivascular space (DTI-ALPS). Furthermore, we explored the correlation between glymphatic clearance and cognitive performance among marijuana users., Materials and Methods: In this study, 125 individuals who reported using marijuana at least once in their lifetime (43 men; mean age, 28.60 [SD, 3.84] years) and 125 individuals with zero lifetime cannabis use (nonusers; 44 men; mean age, 28.82 [SD, 3.56] years) were assessed. ALPS indices of all study participants were calculated using 3T diffusion MR imaging data ( b = 1000 s/mm
2 )., Results: After we adjusted for age, sex, education years, Pittsburgh Sleep Quality Index, alcohol use, tobacco use, and intracranial volume, our analysis using a univariate General Linear Model revealed no significant difference in the ALPS index among nonusers and marijuana users with different ages of first use or various frequencies of lifetime usage. However, in marijuana users, multiple linear regression analyses showed associations between a lower ALPS index and earlier age of first marijuana use (standardized β, -0.20; P = .041), lower accuracy in the working memory 0-back task (standardized β, 0.20; P = .042), and fewer correct responses in the Fluid Intelligence Test (standardized β, 0.19; P = .045)., Conclusions: This study shows the potential use of DTI-ALPS as a noninvasive indirect indicator of the glymphatic clearance in young adults. Our findings show novel adverse effects of younger age at first use of marijuana on the glymphatic system function, which is associated with impaired working memory and fluid intelligence. Gaining insight into the alterations in glymphatic function following marijuana use could initiate novel strategies to reduce the risk of cognitive impairment., (© 2024 by American Journal of Neuroradiology.)- Published
- 2024
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19. Deep Learning-based Hierarchical Brain Segmentation with Preliminary Analysis of the Repeatability and Reproducibility.
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Goto M, Kamagata K, Andica C, Takabayashi K, Uchida W, Goto T, Yuzawa T, Kitamura Y, Hatano T, Hattori N, Aoki S, Sakamoto H, Sakano Y, Kyogoku S, and Daida H
- Abstract
Purpose: We developed new deep learning-based hierarchical brain segmentation (DLHBS) method that can segment T1-weighted MR images (T1WI) into 107 brain subregions and calculate the volume of each subregion. This study aimed to evaluate the repeatability and reproducibility of volume estimation using DLHBS and compare them with those of representative brain segmentation tools such as statistical parametric mapping (SPM) and FreeSurfer (FS)., Methods: Hierarchical segmentation using multiple deep learning models was employed to segment brain subregions within a clinically feasible processing time. The T1WI and brain mask pairs in 486 subjects were used as training data for training of the deep learning segmentation models. Training data were generated using a multi-atlas registration-based method. The high quality of training data was confirmed through visual evaluation and manual correction by neuroradiologists. The brain 3D-T1WI scan-rescan data of the 11 healthy subjects were obtained using three MRI scanners for evaluating the repeatability and reproducibility. The volumes of the eight ROIs-including gray matter, white matter, cerebrospinal fluid, hippocampus, orbital gyrus, cerebellum posterior lobe, putamen, and thalamus-obtained using DLHBS, SPM 12 with default settings, and FS with the "recon-all" pipeline. These volumes were then used for evaluation of repeatability and reproducibility., Results: In the volume measurements, the bilateral thalamus showed higher repeatability with DLHBS compared with SPM. Furthermore, DLHBS demonstrated higher repeatability than FS in across all eight ROIs. Additionally, higher reproducibility was observed with DLHBS in both hemispheres of six ROIs when compared with SPM and in five ROIs compared with FS. The lower repeatability and reproducibility in DLHBS were not observed in any comparisons., Conclusion: Our results showed that the best performance in both repeatability and reproducibility was found in DLHBS compared with SPM and FS.
- Published
- 2024
- Full Text
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20. Neural plasticity in Parkinson's disease: a neuroimaging perspective.
- Author
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Andica C and Kamagata K
- Published
- 2024
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21. Cross-vendor multiparametric mapping of the human brain using 3D-QALAS: A multicenter and multivendor study.
- Author
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Fujita S, Gagoski B, Hwang KP, Hagiwara A, Warntjes M, Fukunaga I, Uchida W, Saito Y, Sekine T, Tachibana R, Muroi T, Akatsu T, Kasahara A, Sato R, Ueyama T, Andica C, Kamagata K, Amemiya S, Takao H, Hoshino Y, Tomizawa Y, Yokoyama K, Bilgic B, Hattori N, Abe O, and Aoki S
- Subjects
- Male, Humans, Female, Reproducibility of Results, Prospective Studies, Magnetic Resonance Imaging methods, Phantoms, Imaging, Brain Mapping, Brain diagnostic imaging, Multiple Sclerosis diagnostic imaging
- Abstract
Purpose: To evaluate a vendor-agnostic multiparametric mapping scheme based on 3D quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS) for whole-brain T1, T2, and proton density (PD) mapping., Methods: This prospective, multi-institutional study was conducted between September 2021 and February 2022 using five different 3T systems from four prominent MRI vendors. The accuracy of this technique was evaluated using a standardized MRI system phantom. Intra-scanner repeatability and inter-vendor reproducibility of T1, T2, and PD values were evaluated in 10 healthy volunteers (6 men; mean age ± SD, 28.0 ± 5.6 y) who underwent scan-rescan sessions on each scanner (total scans = 100). To evaluate the feasibility of 3D-QALAS, nine patients with multiple sclerosis (nine women; mean age ± SD, 48.2 ± 11.5 y) underwent imaging examination on two 3T MRI systems from different manufacturers., Results: Quantitative maps obtained with 3D-QALAS showed high linearity (R
2 = 0.998 and 0.998 for T1 and T2, respectively) with respect to reference measurements. The mean intra-scanner coefficients of variation for each scanner and structure ranged from 0.4% to 2.6%. The mean structure-wise test-retest repeatabilities were 1.6%, 1.1%, and 0.7% for T1, T2, and PD, respectively. Overall, high inter-vendor reproducibility was observed for all parameter maps and all structure measurements, including white matter lesions in patients with multiple sclerosis., Conclusion: The vendor-agnostic multiparametric mapping technique 3D-QALAS provided reproducible measurements of T1, T2, and PD for human tissues within a typical physiological range using 3T scanners from four different MRI manufacturers., (© 2024 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)- Published
- 2024
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22. Noninvasive Magnetic Resonance Imaging Measures of Glymphatic System Activity.
- Author
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Kamagata K, Saito Y, Andica C, Uchida W, Takabayashi K, Yoshida S, Hagiwara A, Fujita S, Nakaya M, Akashi T, Wada A, Kamiya K, Hori M, and Aoki S
- Subjects
- Animals, Humans, Blood-Brain Barrier metabolism, Contrast Media, Extracellular Fluid diagnostic imaging, Magnetic Resonance Imaging methods, Glymphatic System diagnostic imaging, Glymphatic System metabolism
- Abstract
The comprehension of the glymphatic system, a postulated mechanism responsible for the removal of interstitial solutes within the central nervous system (CNS), has witnessed substantial progress recently. While direct measurement techniques involving fluorescence and contrast agent tracers have demonstrated success in animal studies, their application in humans is invasive and presents challenges. Hence, exploring alternative noninvasive approaches that enable glymphatic research in humans is imperative. This review primarily focuses on several noninvasive magnetic resonance imaging (MRI) techniques, encompassing perivascular space (PVS) imaging, diffusion tensor image analysis along the PVS, arterial spin labeling, chemical exchange saturation transfer, and intravoxel incoherent motion. These methodologies provide valuable insights into the dynamics of interstitial fluid, water permeability across the blood-brain barrier, and cerebrospinal fluid flow within the cerebral parenchyma. Furthermore, the review elucidates the underlying concept and clinical applications of these noninvasive MRI techniques, highlighting their strengths and limitations. It addresses concerns about the relationship between glymphatic system activity and pathological alterations, emphasizing the necessity for further studies to establish correlations between noninvasive MRI measurements and pathological findings. Additionally, the challenges associated with conducting multisite studies, such as variability in MRI systems and acquisition parameters, are addressed, with a suggestion for the use of harmonization methods, such as the combined association test (COMBAT), to enhance standardization and statistical power. Current research gaps and future directions in noninvasive MRI techniques for assessing the glymphatic system are discussed, emphasizing the need for larger sample sizes, harmonization studies, and combined approaches. In conclusion, this review provides invaluable insights into the application of noninvasive MRI methods for monitoring glymphatic system activity in the CNS. It highlights their potential in advancing our understanding of the glymphatic system, facilitating clinical applications, and paving the way for future research endeavors in this field. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 5., (© 2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
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- 2024
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23. Assessing interstitial fluid dynamics in type 2 diabetes mellitus and prediabetes cases through diffusion tensor imaging analysis along the perivascular space.
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Tuerxun R, Kamagata K, Saito Y, Andica C, Takabayashi K, Uchida W, Yoshida S, Kikuta J, Tabata H, Naito H, Someya Y, Kaga H, Miyata M, Akashi T, Wada A, Taoka T, Naganawa S, Tamura Y, Watada H, Kawamori R, and Aoki S
- Abstract
Background and Purpose: Glymphatic system in type 2 diabetes mellitus (T2DM) but not in the prodrome, prediabetes (Pre-DM) was investigated using diffusion tensor image analysis along the perivascular space (DTI-ALPS). Association between glymphatic system and insulin resistance of prominent characteristic in T2DM and Pre-DM between is yet elucidated. Therefore, this study delves into the interstitial fluid dynamics using the DTI-ALPS in both Pre-DM and T2DM and association with insulin resistance., Materials and Methods: In our cross-sectional study, we assessed 70 elderly individuals from the Bunkyo Health Study, which included 22 with Pre-DM, 18 with T2DM, and 33 healthy controls with normal glucose metabolism (NGM). We utilized the general linear model (GLM) to evaluate the ALPS index based on DTI-ALPS across these groups, considering variables like sex, age, intracranial volume, years of education, anamnesis of hypertension and hyperlipidemia, and the total Fazekas scale. Furthermore, we have explored the relationship between the ALPS index and insulin resistance, as measured by the homeostasis model assessment of insulin resistance (HOMA-IR) using GLM and the same set of covariates., Results: In the T2DM group, the ALPS index demonstrated a reduction compared with the NGM group [family-wise error (FWE)-corrected p < 0.001; Cohen's d = -1.32]. Similarly, the Pre-DM group had a lower ALPS index than the NGM group (FWE-corrected p < 0.001; Cohen's d = -1.04). However, there was no significant disparity between the T2DM and Pre-DM groups (FWE-corrected p = 1.00; Cohen's d = -0.63). A negative correlation was observed between the ALPS index and HOMA-IR in the combined T2DM and Pre-DM groups (partial correlation coefficient r = -0.35, p < 0.005)., Conclusion: The ALPS index significantly decreased in both the pre-DM and T2DM groups and showed a correlated with insulin resistance. This indicated that changes in interstitial fluid dynamics are associated with insulin resistance., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Tuerxun, Kamagata, Saito, Andica, Takabayashi, Uchida, Yoshida, Kikuta, Tabata, Naito, Someya, Kaga, Miyata, Akashi, Wada, Taoka, Naganawa, Tamura, Watada, Kawamori and Aoki.)
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- 2024
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24. Free-water diffusion magnetic resonance imaging under selegiline treatment in Parkinson's disease.
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Takeshige-Amano H, Hatano T, Kamagata K, Andica C, Ogawa T, Shindo A, Uchida W, Sako W, Saiki S, Shimo Y, Oyama G, Umemura A, Ito M, Hori M, Aoki S, and Hattori N
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- Humans, Diffusion Tensor Imaging, Selegiline therapeutic use, Diffusion Magnetic Resonance Imaging, Magnetic Resonance Imaging, Water, Monoamine Oxidase, Parkinson Disease diagnostic imaging, Parkinson Disease drug therapy, Parkinson Disease pathology, White Matter diagnostic imaging, White Matter pathology
- Abstract
Introduction: Monoamine oxidase type B inhibitors, including selegiline, are established as anti-Parkinsonian Drugs. Inhibition of monoamine oxidase type B enzymes might suppress the inflammation because of inhibition to generate reactive oxygen species. However, its effect on brain microstructure remains unclear. The aim of this study is to elucidate white matter and substantia nigra (SN) microstructural differences between Patients with Parkinson's disease with and without selegiline treatment by two independently recruited cohorts., Methods: Diffusion tensor imaging and free water imaging indices of WM and SN were compared among 22/15 Patients with Parkinson's disease with selegiline (PDselegiline(+)), 33/23 Patients with Parkinson's disease without selegiline (PDselegiline(-)), and 25/20 controls, in the first/second cohorts. Two cohorts were analyzed with different MRI protocols., Results: Diffusion tensor imaging and free-water indices of major white matter tracts were significantly differed between the PDselegiline(-) and controls in both cohorts, although not between the PDselegiline(+) and controls except for restricted areas. Compared with the PDselegiline(+), free-water was significantly higher in the PDselegiline(-) in the inferior fronto-occipital fasciculus, superior longitudinal fasciculus, and superior and posterior corona radiata (first cohort) and the forceps major and splenium of the corpus callosum (second cohort). There were no significant differences in free-water of anterior or posterior substantia nigra between PDselegiline(+) and PDselegiline(-)., Conclusions: Selegiline treatment might reduce the white matter microstructural abnormalities detected by free-water imaging in Parkinson's disease., Competing Interests: Declaration of competing interest None., (Copyright © 2023. Published by Elsevier B.V.)
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- 2024
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25. Advancements in Diffusion MRI Tractography for Neurosurgery.
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Kamagata K, Andica C, Uchida W, Takabayashi K, Saito Y, Lukies M, Hagiwara A, Fujita S, Akashi T, Wada A, Hori M, Kamiya K, Zalesky A, and Aoki S
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- Humans, Diffusion Magnetic Resonance Imaging methods, Diffusion Tensor Imaging methods, Brain diagnostic imaging, Brain surgery, Neurosurgical Procedures methods, Neurosurgery
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Abstract: Diffusion magnetic resonance imaging tractography is a noninvasive technique that enables the visualization and quantification of white matter tracts within the brain. It is extensively used in preoperative planning for brain tumors, epilepsy, and functional neurosurgical procedures such as deep brain stimulation. Over the past 25 years, significant advancements have been made in imaging acquisition, fiber direction estimation, and tracking methods, resulting in considerable improvements in tractography accuracy. The technique enables the mapping of functionally critical pathways around surgical sites to avoid permanent functional disability. When the limitations are adequately acknowledged and considered, tractography can serve as a valuable tool to safeguard critical white matter tracts and provides insight regarding changes in normal white matter and structural connectivity of the whole brain beyond local lesions. In functional neurosurgical procedures such as deep brain stimulation, it plays a significant role in optimizing stimulation sites and parameters to maximize therapeutic efficacy and can be used as a direct target for therapy. These insights can aid in patient risk stratification and prognosis. This article aims to discuss state-of-the-art tractography methodologies and their applications in preoperative planning and highlight the challenges and new prospects for the use of tractography in daily clinical practice., Competing Interests: Conflicts of interest and sources of funding: This study was partially supported by the Juntendo Research Branding Project, the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (KAKENHI; grant numbers 23H02865), a Grant-in-Aid for Special Research in Subsidies for ordinary expenses of private schools from The Promotion and Mutual Aid Corporation for Private Schools of Japan, the Brain/MINDS Beyond program (grant no. JP19dm0307101) of the Japan Agency for Medical Research and Development (AMED), and AMED under grant number JP21wm0425006., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2024
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26. Glymphatic system impairment in sleep disruption: diffusion tensor image analysis along the perivascular space (DTI-ALPS).
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Saito Y, Hayakawa Y, Kamagata K, Kikuta J, Mita T, Andica C, Taoka T, Uchida W, Takabayashi K, Tuerxun R, Mahemuti Z, Yoshida S, Kitagawa T, Arai T, Suzuki A, Sato K, Nishizawa M, Akashi T, Shimoji K, Wada A, and Aoki S
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- Young Adult, Humans, Sleep, Diffusion, Diffusion Magnetic Resonance Imaging, Image Processing, Computer-Assisted, Glymphatic System diagnostic imaging
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Purpose: This study aimed to evaluate the relationship between sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI) and the index of diffusivity along the perivascular space (ALPS index), a possible indirect indicator of glymphatic system activity., Materials and Methods: This study included the diffusion magnetic resonance imaging (MRI) data of 317 people with sleep disruption and 515 healthy controls (HCs) from the Human Connectome Project (WU-MINN HCP 1200). The ALPS index was calculated automatically based on diffusion tensor image analysis (DTI)-ALPS of diffusion MRI. The ALPS index of the sleep disruption and HC groups was compared using general linear model (GLM) analysis with covariates, such as age, sex, level of education, and intracranial volume. In addition, to confirm the relationship between sleep quality and the ALPS index in the sleep disruption group as well as evaluate the effect of each PSQI component on the ALPS index, correlation analyses between the ALPS indices and PSQI scores of all the components and between the ALPS index and each PSQI component was performed using GLM analysis with the abovementioned covariates, respectively., Results: The ALPS index was significantly lower in the sleep disruption group than in the HC group (p = 0.001). Moreover, the ALPS indices showed significant negative correlations with the PSQI scores of all the components (false discovery rate [FDR]-corrected p < 0.001). Two significant negative correlations were also found between the ALPS index and PSQI component 2 (sleep latency, FDR-corrected p < 0.001) and 6 (the use of sleep medication, FDR-corrected p < 0.001)., Conclusion: Our findings suggest that glymphatic system impairment contributes to sleep disruption in young adults., (© 2023. The Author(s) under exclusive licence to Japan Radiological Society.)
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- 2023
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27. Traveling Subject-Informed Harmonization Increases Reliability of Brain Diffusion Tensor and Neurite Mapping.
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Saito Y, Kamagata K, Andica C, Maikusa N, Uchida W, Takabayashi K, Yoshida S, Hagiwara A, Fujita S, Akashi T, Wada A, Irie R, Shimoji K, Hori M, Kamiya K, Koike S, Hayashi T, and Aoki S
- Abstract
Diffusion-weighted magnetic resonance imaging (dMRI) of brain has helped elucidate the microstructural changes of psychiatric and neurodegenerative disorders. Inconsistency between MRI models has hampered clinical application of dMRI-based metrics. Using harmonized dMRI data of 300 scans from 69 traveling subjects (TS) scanning the same individuals at multiple conditions with 13 MRI models and 2 protocols, the widely-used metrics such as diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) were evaluated before and after harmonization with a combined association test (ComBat) or TS-based general linear model (TS-GLM). Results showed that both ComBat and TS-GLM significantly reduced the effects of the MRI site, model, and protocol for diffusion metrics while maintaining the intersubject biological effects. The harmonization power of TS-GLM based on TS data model is more powerful than that of ComBat. In conclusion, our research demonstrated that although ComBat and TS-GLM harmonization approaches were effective at reducing the scanner effects of the site, model, and protocol for DTI and NODDI metrics in WM, they exhibited high retainability of biological effects. Therefore, we suggest that, after harmonizing DTI and NODDI metrics, a multisite study with large cohorts can accurately detect small pathological changes by retaining pathological effects.
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- 2023
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28. Fiber-Specific White Matter Alterations in Parkinson's Disease Patients with GBA Gene Mutations.
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Andica C, Kamagata K, Uchida W, Saito Y, Takabayashi K, Hagiwara A, Takeshige-Amano H, Hatano T, Hattori N, and Aoki S
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- Humans, alpha-Synuclein genetics, Cross-Sectional Studies, Glucosylceramidase genetics, Mutation genetics, Parkinson Disease complications, White Matter diagnostic imaging
- Abstract
Background: Patients with Parkinson's disease (PD) carrying GBA gene mutations (GBA-PD) have a more aggressive disease course than those with idiopathic PD (iPD)., Objective: The objective of this study was to investigate fiber-specific white matter (WM) differences in nonmedicated patients with early-stage GBA-PD and iPD using fixel-based analysis, a novel technique to assess tract-specific WM microstructural and macrostructural features comprehensively., Methods: Fixel-based metrics, including microstructural fiber density (FD), macrostructural fiber-bundle cross section (FC), and a combination of FD and FC (FDC), were compared among 30 healthy control subjects, 16 patients with GBA-PD, and 35 patients with iPD. Associations between FDC and clinical evaluations were also explored using multiple linear regression analyses., Results: Patients with GBA-PD showed significantly lower FD in the fornix and superior longitudinal fasciculus than healthy control subjects, and lower FC in the corticospinal tract (CST) and lower FDC in the CST, middle cerebellar peduncle, and striatal-thalamo-cortical pathways than patients with iPD. Contrarily, patients with iPD showed significantly higher FC and FDC in the CST and striatal-thalamo-cortical pathways than healthy control subjects. In addition, lower FDC in patients with GBA-PD was associated with reduced glucocerebrosidase enzyme activity, lower cerebrospinal fluid total α-synuclein levels, lower Montreal Cognitive Assessment scores, lower striatal binding ratio, and higher Unified Parkinson's Disease Rating Scale Part III scores., Conclusions: We report reduced fiber-specific WM density and bundle cross-sectional size in patients with GBA-PD, suggesting neurodegeneration linked to glucocerebrosidase deficiency, α-synuclein accumulation, and poorer cognition and motor functions. Conversely, patients with iPD showed increased fiber bundle size, likely because of WM reorganization. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society., (© 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.)
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- 2023
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29. Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS).
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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, and Aoki S
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- Humans, Databases, Factual, Diffusion, Diffusion Magnetic Resonance Imaging, Corticobasal Degeneration, Glymphatic System
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Purpose: This study aimed to evaluate the along the perivascular space (ALPS) index based on the diffusion tensor image ALPS (DTI-ALPS) in corticobasal degeneration with corticobasal syndrome (CBD-CBS) and investigate its correlation with motor and cognitive functions., Materials and Methods: The data of 21 patients with CBD-CBS and 17 healthy controls (HCs) were obtained from the 4-Repeat Tauopathy Neuroimaging Initiative and the Frontotemporal Lobar Degeneration Neuroimaging Initiative databases. Diffusion magnetic resonance imaging was performed using a 3-Tesla MRI scanner. The ALPS index based on DTI-ALPS was automatically calculated after preprocessing. The ALPS index was compared between the CBD-CBS and HC groups via a general linear model analysis, with covariates such as age, sex, years of education, and intracranial volume (ICV). Furthermore, to confirm the relation between the ALPS index and the motor and cognitive score in CBD-CBS, the partial Spearman's rank correlation coefficient was calculated with covariates such as age, sex, years of education, and ICV. A p value of < 0.05 was considered as statistically significant in all statistical analyses., Results: The ALPS index of CBD-CBS was significantly lower than that of HC (Cohen's d = - 1.53, p < 0.005). Moreover, the ALPS index had a significant positive correlation with the mini mental state evaluation score (r
s = 0.65, p < 0.005) and a significant negative correlation with the unified Parkinson's Disease Rating Scale III score (rs = - 0.75, p < 0.001)., Conclusion: The ALPS index of patients with CBD-CBS, which is significantly lower than that of HCs, is significantly associated with motor and cognitive functions., (© 2023. The Author(s) under exclusive licence to Japan Radiological Society.)- Published
- 2023
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30. Multisite harmonization of diffusion tensor image analysis along the perivascular space using the COMBined Association Test.
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Saito Y, Kamagata K, Andica C, Taoka T, Tuerxun R, Uchida W, Takabayashi K, Owaki M, Yoshida S, Yamazaki K, Naganawa S, and Aoki S
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- Humans, Bayes Theorem, Diffusion Magnetic Resonance Imaging methods, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging, Fluorodeoxyglucose F18, Alzheimer Disease diagnostic imaging
- Abstract
Purpose: This multisite study aimed to use the COMBined Association Test (COMBAT), a harmonization technique that uses regression of covariates with an empirical Bayesian framework, to harmonize diffusion tensor image analysis along the perivascular space (DTI-ALPS) variations caused by scanner, site, and protocol differences., Materials and Methods: This study included multisite diffusion magnetic resonance imaging (dMRI) data of 45 patients with Alzheimer's disease (AD) and 82 cognitively normal (CN) participants from the AD neuroimaging initiative database. The dMRI data were obtained with two b values (0 and 1000 s/mm
2 ) from 27 institutions and three different 3-Tesla MRI scanners (two vendors). The ALPS index was calculated from multisite dMRI data, and COMBAT was used to harmonize the factors causing site variations. Welch's t test was used, Cohen's d was calculated to compare the difference in the ALPS index between AD and CN before and after harmonization, and Pearson's correlation coefficient was calculated to assess the relationships between the ALPS index and the cognitive score, [18 F] fluorodeoxyglucose (FDG)-positron emission tomography (PET), and [18 F] florbetapir (AV45)-PET standardized uptake value ratios (SUVRs)., Results: COMBAT harmonized scanner differences and increased Cohen's d of the left and right ALPS indexes between AD and CN from 0.288 to 0.438 and 0.328 to 0.480, respectively. The ALPS indexes were significantly different between AD and CN after harmonization (P < 0.05) but not before it. Moreover, Pearson's correlation coefficients between the ALPS index and cognitive score, FDG-PET, and AV45-PET SUVRs were higher after harmonization than before it., Conclusion: This study demonstrates the application of COMBAT harmonization to eliminate between-scanner, site, and protocol variations in the ALPS index calculated from DTI-ALPS using dMRI and possibly facilitate the use of the ALPS index in multi-center studies., (© 2023. The Author(s).)- Published
- 2023
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31. Reproducibility of automated calculation technique for diffusion tensor image analysis along the perivascular space.
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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, and Aoki S
- Subjects
- Humans, Diffusion Tensor Imaging methods, Reproducibility of Results, Image Processing, Computer-Assisted, Brain diagnostic imaging, Cognitive Dysfunction
- Abstract
Purpose: The method of diffusion tensor image analysis along the perivascular space (DTI-ALPS) was gathering attention to evaluate the brain's glymphatic function or interstitial fluid dynamics. However, to the best knowledge, no study was conducted on the reproducibility of these automated methods for ALPS index values. Therefore, the current study evaluated the ALPS index reproducibility based on DTI-ALPS using two major automated calculation techniques in scan and rescan of the same subject on the same day., Materials and Methods: This study included 23 participants, including 2 with Alzheimer's disease, 15 with mild cognitive impairment, and 6 with cognitive normals. Scan and rescan data of diffusion magnetic resonance images were obtained, as well as automatically index for ALPS (ALPS index) and ALPS index maintaining tensor vector orientation information (vALPS index) with region of interest on the template fractional anisotropy map calculated by FSL software.These ALPS indices were compared in terms of scan and rescan reproducibility., Results: The absolute difference in ALPS-index values between scan and rescan was larger in the ALPS index than in the vALPS index by approximately 0.6% as the relative difference. Cohen's d for the left and right ALPS indices between methods were 0.121 and 0.159, respectively., Conclusion: The vALPS index based on DTI-ALPS maintaining tensor vector orientation information has higher reproducibility than the ALPS index. This result encourages a multisite study on the ALPS index with a large sample size and helps detect a subtle pathological change in the ALPS index., (© 2023. The Author(s) under exclusive licence to Japan Radiological Society.)
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- 2023
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32. Fiber-specific micro- and macroscopic white matter alterations in progressive supranuclear palsy and corticobasal syndrome.
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Uchida W, Kamagata K, Andica C, Takabayashi K, Saito Y, Owaki M, Fujita S, Hagiwara A, Wada A, Akashi T, Sano K, Hori M, and Aoki S
- Abstract
Progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) are characterized by progressive white matter (WM) alterations associated with the prion-like spreading of four-repeat tau, which has been pathologically confirmed. It has been challenging to monitor the WM degeneration patterns underlying the clinical deficits in vivo. Here, a fiber-specific fiber density and fiber cross-section, and their combined measure estimated using fixel-based analysis (FBA), were cross-sectionally and longitudinally assessed in PSP (n = 20), CBS (n = 17), and healthy controls (n = 20). FBA indicated disease-specific progression patterns of fiber density loss and subsequent bundle atrophy consistent with the tau propagation patterns previously suggested in a histopathological study. This consistency suggests the new insight that FBA can monitor the progressive tau-related WM changes in vivo. Furthermore, fixel-wise metrics indicated strong correlations with motor and cognitive dysfunction and the classifiability of highly overlapping diseases. Our findings might also provide a tool to monitor clinical decline and classify both diseases., (© 2023. Springer Nature Limited.)
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- 2023
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33. Reduced neurite density index in the prefrontal cortex of adults with autism assessed using neurite orientation dispersion and density imaging.
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Arai T, Kamagata K, Uchida W, Andica C, Takabayashi K, Saito Y, Tuerxun R, Mahemuti Z, Morita Y, Irie R, Kirino E, and Aoki S
- Abstract
Background: Core symptoms of autism-spectrum disorder (ASD) have been associated with prefrontal cortex abnormalities. However, the mechanisms behind the observation remain incomplete, partially due to the challenges of modeling complex gray matter (GM) structures. This study aimed to identify GM microstructural alterations in adults with ASD using neurite orientation dispersion and density imaging (NODDI) and voxel-wise GM-based spatial statistics (GBSS) to reduce the partial volume effects from the white matter and cerebrospinal fluid., Materials and Methods: A total of 48 right-handed participants were included, of which 22 had ASD (17 men; mean age, 34.42 ± 8.27 years) and 26 were typically developing (TD) individuals (14 men; mean age, 32.57 ± 9.62 years). The metrics of NODDI (neurite density index [NDI], orientation dispersion index [ODI], and isotropic volume fraction [ISOVF]) were compared between groups using GBSS. Diffusion tensor imaging (DTI) metrics and surface-based cortical thickness were also compared. The associations between magnetic resonance imaging-based measures and ASD-related scores, including ASD-spectrum quotient, empathizing quotient, and systemizing quotient were also assessed in the region of interest (ROI) analysis., Results: After controlling for age, sex, and intracranial volume, GBSS demonstrated significantly lower NDI in the ASD group than in the TD group in the left prefrontal cortex (caudal middle frontal, lateral orbitofrontal, pars orbitalis, pars triangularis, rostral middle frontal, and superior frontal region). In the ROI analysis of individuals with ASD, a significantly positive correlation was observed between the NDI in the left rostral middle frontal, superior frontal, and left frontal pole and empathizing quotient score. No significant between-group differences were observed in all DTI metrics, other NODDI (i.e., ODI and ISOVF) metrics, and cortical thickness., Conclusion: GBSS analysis was used to demonstrate the ability of NODDI metrics to detect GM microstructural alterations in adults with ASD, while no changes were detected using DTI and cortical thickness evaluation. Specifically, we observed a reduced neurite density index in the left prefrontal cortices associated with reduced empathic abilities., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Arai, Kamagata, Uchida, Andica, Takabayashi, Saito, Tuerxun, Mahemuti, Morita, Irie, Kirino and Aoki.)
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- 2023
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34. Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics.
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Hagiwara A, Fujita S, Kurokawa R, Andica C, Kamagata K, and Aoki S
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- Humans, Benchmarking, Magnetic Resonance Imaging, Machine Learning, Retrospective Studies, Multiparametric Magnetic Resonance Imaging methods, Deep Learning
- Abstract
Abstract: With the recent advancements in rapid imaging methods, higher numbers of contrasts and quantitative parameters can be acquired in less and less time. Some acquisition models simultaneously obtain multiparametric images and quantitative maps to reduce scan times and avoid potential issues associated with the registration of different images. Multiparametric magnetic resonance imaging (MRI) has the potential to provide complementary information on a target lesion and thus overcome the limitations of individual techniques. In this review, we introduce methods to acquire multiparametric MRI data in a clinically feasible scan time with a particular focus on simultaneous acquisition techniques, and we discuss how multiparametric MRI data can be analyzed as a whole rather than each parameter separately. Such data analysis approaches include clinical scoring systems, machine learning, radiomics, and deep learning. Other techniques combine multiple images to create new quantitative maps associated with meaningful aspects of human biology. They include the magnetic resonance g-ratio, the inner to the outer diameter of a nerve fiber, and the aerobic glycolytic index, which captures the metabolic status of tumor tissues., Competing Interests: Conflicts of interest and sources of funding: We have no conflict of interest to declare. This work was supported by JSPS KAKENHI grant number 19K17150 and JP19K17244, the Juntendo Research Branding Project, a Grant-in-Aid for Special Research in Subsidies for ordinary expenses of private schools from The Promotion and Mutual Aid Corporation for Private Schools of Japan, the Brain/MINDS Beyond program (grant no. JP19dm0307101) of the Japan Agency for Medical Research and Development (AMED), and AMED under grant number JP19lk1010025h9902 and JP21wm0425006., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2023
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35. Association between enhanced carbonyl stress and decreased apparent axonal density in schizophrenia by multimodal white matter imaging.
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Son S, Arai M, Toriumi K, Andica C, Matsuyoshi D, Kamagata K, Aoki S, Kawashima T, Kochiyama T, Okada T, Fushimi Y, Nakamoto Y, Kobayashi Y, Murai T, Itokawa M, and Miyata J
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- Humans, Pyridoxal, Glycation End Products, Advanced, Axons, Schizophrenia diagnostic imaging, White Matter diagnostic imaging
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Carbonyl stress is a condition featuring increased rich reactive carbonyl compounds, which facilitate the formation of advanced glycation end products including pentosidine. We previously reported the relationship between enhanced carbonyl stress and disrupted white matter integrity in schizophrenia, although which microstructural component is disrupted remained unclear. In this study, 32 patients with schizophrenia (SCZ) and 45 age- and gender-matched healthy volunteers (HC) were recruited. We obtained blood samples for carbonyl stress markers (plasma pentosidine and serum pyridoxal) and multi-modal magnetic resonance imaging measures of white matter microstructures including apparent axonal density (intra-cellular volume fraction (ICVF)) and orientation (orientation dispersion index (ODI)), and inflammation (free water (FW)). In SCZ, the plasma pentosidine level was significantly increased. Group comparison revealed that mean white matter values were decreased for ICVF, and increased for FW. We found a significant negative correlation between the plasma pentosidine level and mean ICVF values in SCZ, and a significant negative correlation between the serum pyridoxal level and mean ODI value in HC, regardless of age. Our results suggest an association between enhanced carbonyl stress and axonal abnormality in SCZ., (© 2023. The Author(s).)
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- 2023
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36. Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging.
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Andica C, Kamagata K, and Aoki S
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- Humans, Diffusion Tensor Imaging methods, Reproducibility of Results, Diffusion Magnetic Resonance Imaging, Brain diagnostic imaging, Image Processing, Computer-Assisted methods, White Matter diagnostic imaging, White Matter anatomy & histology
- Abstract
White matter bundle segmentation using diffusion magnetic resonance imaging fiber tractography enables detailed evaluation of individual white matter tracts three-dimensionally, and plays a crucial role in studying human brain anatomy, function, development, and diseases. Manual extraction of streamlines utilizing a combination of the inclusion and exclusion of regions of interest can be considered the current gold standard for extracting white matter bundles from whole-brain tractograms. However, this is a time-consuming and operator-dependent process with limited reproducibility. Several automated approaches using different strategies to reconstruct the white matter tracts have been proposed to address the issues of time, labor, and reproducibility. In this review, we discuss few of the most well-validated approaches that automate white matter bundle segmentation with an end-to-end pipeline, including TRActs Constrained by UnderLying Anatomy (TRACULA), Automated Fiber Quantification, and TractSeg., (© 2023. The Author(s).)
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- 2023
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37. 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.
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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, and Aoki S
- Abstract
Background and Purpose: Exposure to contact sports in youth causes brain health problems later in life. For instance, the repetitive head impacts in contact sports might contribute to glymphatic clearance impairment and cognitive decline. This study aimed to assess the effect of contact sports participation in youth on glymphatic function in old age and the relationship between glymphatic function and cognitive status using the analysis along the perivascular space (ALPS) index., Materials and Methods: A total of 52 Japanese older male subjects were included in the study, including 12 who played heavy-contact sports (mean age, 71.2 years), 15 who played semicontact sports (mean age, 73.1 years), and 25 who played noncontact sports (mean age, 71.3 years) in their youth. All brain diffusion-weighted images (DWIs) of the subjects were acquired using a 3T MRI scanner. The ALPS indices were calculated using a validated semiautomated pipeline. The ALPS indices from the left and right hemispheres were compared between groups using a general linear model, including age and years of education. Furthermore, partial Spearman's rank correlation tests were performed to assess the correlation between the ALPS indices and cognitive scores (Mini-Mental State Examination and the Japanese version of the Montreal Cognitive Assessment [MoCA-J]) after adjusting for age years of education and HbA1c., Results: The left ALPS index was significantly lower in the heavy-contact and semicontact groups than that in the noncontact group. Although no significant differences were observed in the left ALPS index between the heavy-contact and semicontact groups and in the right ALPS index among groups, a trend toward lower was found in the right ALPS index in individuals with semicontact and heavy-contact compared to the noncontact group. Both sides' ALPS indices were significantly positively correlated with the MoCA-J scores., Conclusion: The findings indicated the potential adverse effect of contact sports experience in youth on the glymphatic system function in old age associated with cognitive decline., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Morita, Kamagata, Andica, Takabayashi, Kikuta, Fujita, Samoyeau, Uchida, Saito, Tabata, Naito, Someya, Kaga, Tamura, Miyata, Akashi, Wada, Taoka, Naganawa, Watada, Kawamori, Abe and Aoki.)
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- 2023
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38. Investigation of time-dependent diffusion in extra-axial brain tumors using oscillating-gradient spin-echo.
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Maekawa T, Hori M, Murata K, Feiweier T, Kamiya K, Andica C, Hagiwara A, Fujita S, Kamagata K, Wada A, Abe O, and Aoki S
- Subjects
- Humans, Diffusion Magnetic Resonance Imaging methods, Diffusion, Brain, Pituitary Neoplasms diagnostic imaging, Neuroma, Acoustic diagnostic imaging, Meningioma diagnostic imaging, Brain Neoplasms diagnostic imaging, Meningeal Neoplasms diagnostic imaging
- Abstract
Oscillating gradient spin-echo (OGSE) sequences provide access to short diffusion times and may provide insight into micro-scale internal structures of pathologic lesions based on an analysis of changes in diffusivity with differing diffusion times. We hypothesized that changes in diffusivity acquired with a shorter diffusion time may permit elucidation of properties related to the internal structure of extra-axial brain tumors. This study aimed to investigate the utility of changes in diffusivity between short and long diffusion times for characterizing extra-axial brain tumors. In total, 12 patients with meningothelial meningiomas, 13 patients with acoustic neuromas, and 11 patients with pituitary adenomas were scanned with a 3 T magnetic resonance imaging (MRI) scanner with diffusion-weighted imaging (DWI) using OGSE and pulsed gradient spin-echo (PGSE) (effective diffusion times [Δ
eff ]: 6.5 ms and 35.2 ms) with b-values of 0 and 1000 s/mm2 . Relative percentage changes between shorter and longer diffusion times were calculated using region-of-interest (ROI) analysis of brain tumors on λ1 , λ2 , λ3 , and mean diffusivity (MD) maps. The diffusivities of PGSE, OGSE, and relative percentage changes were compared among each tumor type using a multiple comparisons Steel-Dwass test. The mean (standard deviation) MD at Δeff of 6.5 ms was 1.07 ± 0.23 10-3 mm2 /s, 1.19 ± 0.18 10-3 mm2 /s, 1.19 ± 0.21 10-3 mm2 /s for meningothelial meningiomas, acoustic neuromas, and pituitary adenomas, respectively. The mean (standard deviation) MD at Δeff of 35.2 ms was 0.93 ± 0.22 10-3 mm2 /s, 1.07 ± 0.19 10-3 mm2 /s, 0.82 ± 0.21 10-3 mm2 /s for meningothelial meningiomas, acoustic neuromas, and pituitary adenomas, respectively. The mean (standard deviation) of the relative percentage change was 15.7 ± 4.4%, 12.4 ± 8.2%, 46.8 ± 11.3% for meningothelial meningiomas, acoustic neuromas, and pituitary adenomas, respectively. Compared to meningiomas and acoustic neuromas, pituitary adenoma exhibited stronger diffusion time-dependence with diffusion times between 6.5 ms and 35.2 ms (P < 0.05). In conclusion, differences in diffusion time-dependence may be attributed to differences in the internal structures of brain tumors. DWI with a short diffusion time may provide additional information on the microstructure of each tumor and contribute to tumor diagnosis., (Copyright © 2022 Elsevier Inc. All rights reserved.)- Published
- 2023
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39. Neuroimaging findings related to glymphatic system alterations in older adults with metabolic syndrome.
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Andica C, Kamagata K, Takabayashi K, Kikuta J, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Taoka T, Naganawa S, and Aoki S
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- Humans, Animals, Rats, Aged, Aged, 80 and over, Diffusion Tensor Imaging, Cross-Sectional Studies, Neuroimaging, Water, Glymphatic System diagnostic imaging, Metabolic Syndrome diagnostic imaging, Diabetes Mellitus, Type 2
- Abstract
Objective: The glymphatic system is a glial-based perivascular network that promotes brain metabolic waste clearance. Reduced glymphatic flow has been observed in rat models of type 2 diabetes and hypertension, indicating the role of vascular risk factors in the glymphatic system. However, little is known about how vascular risk factors affect the human glymphatic system. The present study aims to assess the relationships between metabolic syndrome (MetS), a cluster of vascular risk factors, and the glymphatic system function using diffusion magnetic resonance imaging (MRI)-based measures of water diffusivity in the glymphatic compartments, including the brain interstitial space and perivascular spaces around the deep medullary vein. We hypothesized that vascular risk factors are associated with glymphatic dysfunction, leading to cognitive impairment in older adults., Methods: This cross-sectional study assessed 61 older adults (age range, 65-82 years) who had participated in the Bunkyo Health Study, including 15 healthy controls (mean age, 70.87 ± 4.90 years) and 46 individuals with MetS (mean age, 71.76 ± 4.61 years). Fractional volume of extracellular-free water (FW) and an index of diffusion tensor imaging along the perivascular space (DTI-ALPS) were used as indirect indicators of water diffusivity in the interstitial extracellular and perivenous spaces of white matter, respectively., Results: After adjusting for age, sex, years of education, total Fazekas scale, Pittsburgh sleep quality index (PSQI) score, and intracranial volume (ICV), a significantly (P = 0.030; Cohen's d = 1.01) higher FW was observed in individuals with MetS than in the healthy controls. Furthermore, individuals with MetS had a significantly (P = 0.031; Cohen's d = 0.86) lower ALPS index than the healthy controls, with age, sex, years of education, total Fazekas scale, PSQI score, ICV, fractional anisotropy, and mean diffusivity included as confounding factors. Higher FW was significantly associated with lower ALPS index (r = -0.37; P = 0.004). Multiple linear regression (MLR) with backward elimination analyses showed that higher diastolic blood pressure (BP; standardized β = 0.33, P = 0.005) was independently associated with higher FW, whereas higher fasting plasma glucose levels (standardized β = -0.63, P = 0.002) or higher Brinkman index of cigarette consumption cumulative amount (standardized β = -0.27, P = 0.022) were associated with lower ALPS index. The lower ALPS index (standardized β, 0.28; P = 0.040) was associated with poorer global cognitive performance, which was determined using the Japanese version of the Montreal Cognitive Assessment (MOCA-J) scores. Finally, partial correlation analyses showed a significant correlation between higher FW and lower MOCA-J scores (r = -0.35; P = 0.025) and between higher FW and higher diastolic BP (r = 0.32, P = 0.044)., Conclusion: The present study shows the changes in diffusion MRI-based measures reflected by the higher FW and lower ALPS index in older adults with MetS, possibly due to the adverse effect of vascular risk factors on the glymphatic system. Our findings also indicate the associations between the diffusion MRI-based measures and elevated diastolic BP, hyperglycemia, smoking habit, and poorer cognitive performance. However, owing to the limitations of this study, the results should be cautiously interpreted., Competing Interests: Declaration of Competing Interest None., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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40. Association of MRI Indices of Glymphatic System With Amyloid Deposition and Cognition in Mild Cognitive Impairment and Alzheimer Disease.
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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, and Aoki S
- Subjects
- Humans, Amyloid beta-Peptides metabolism, Biomarkers, Magnetic Resonance Imaging methods, Positron-Emission Tomography methods, Cognition, Alzheimer Disease diagnostic imaging, Alzheimer Disease pathology, Glymphatic System diagnostic imaging, Glymphatic System pathology, Cognitive Dysfunction diagnostic imaging, Cognitive Dysfunction pathology
- Abstract
Background and Objectives: The glymphatic system is a whole-brain perivascular network, which promotes CSF/interstitial fluid exchange. Alterations to this system may play a pivotal role in amyloid β (Aβ) accumulation. However, its involvement in Alzheimer disease (AD) pathogenesis is not fully understood. Here, we investigated the changes in noninvasive MRI measurements related to the perivascular network in patients with mild cognitive impairment (MCI) and AD. Additionally, we explored the associations of MRI measures with neuropsychological score, PET standardized uptake value ratio (SUVR), and Aβ deposition., Methods: MRI measures, including perivascular space (PVS) volume fraction (PVSVF), fractional volume of free water in white matter (FW-WM), and index of diffusivity along the perivascular space (ALPS index) of patients with MCI, those with AD, and healthy controls from the Alzheimer's Disease Neuroimaging Initiative database were compared. MRI measures were also correlated with the levels of CSF biomarkers, PET SUVR, and cognitive score in the combined subcohort of patients with MCI and AD. Statistical analyses were performed with age, sex, years of education, and APOE status as confounding factors., Results: In total, 36 patients with AD, 44 patients with MCI, and 31 healthy controls were analyzed. Patients with AD had significantly higher total, WM, and basal ganglia PVSVF (Cohen d = 1.15-1.48; p < 0.001) and FW-WM (Cohen d = 0.73; p < 0.05) and a lower ALPS index (Cohen d = 0.63; p < 0.05) than healthy controls. Meanwhile, the MCI group only showed significantly higher total (Cohen d = 0.99; p < 0.05) and WM (Cohen d = 0.91; p < 0.05) PVSVF. Low ALPS index was associated with lower CSF Aβ42 ( r
s = 0.41, pfdr = 0.026), FDG-PET uptake ( rs = 0.54, pfdr < 0.001), and worse multiple cognitive domain deficits. High FW-WM was also associated with lower CSF Aβ42 ( rs = -0.47, pfdr = 0.021) and worse cognitive performances., Discussion: Our study indicates that changes in PVS-related MRI parameters occur in MCI and AD, possibly due to impairment of the glymphatic system. We also report the associations between MRI parameters and Aβ deposition, neuronal change, and cognitive impairment in AD., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)- Published
- 2022
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41. Effects of Arterial Stiffness on Cerebral WM Integrity in Older Adults: A Neurite Orientation Dispersion and Density Imaging and Magnetization Transfer Saturation Imaging Study.
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Kikuta J, Kamagata K, Abe M, Andica C, Saito Y, Takabayashi K, Uchida W, Naito H, Tabata H, Wada A, Tamura Y, Kawamori R, Watada H, and Aoki S
- Subjects
- Humans, Aged, Neurites, Diffusion Tensor Imaging methods, Magnetic Resonance Imaging methods, Brain diagnostic imaging, Vascular Stiffness, White Matter diagnostic imaging, Demyelinating Diseases
- Abstract
Background and Purpose: Arterial stiffness is reported to be able to cause axonal demyelination or degeneration. The present study aimed to use advanced MR imaging techniques to examine the effect of arterial stiffness on the WM microstructure among older adults., Materials and Methods: Arterial stiffness was measured using the cardio-ankle vascular elasticity index (CAVI). The high-CAVI (mean CAVI ≥ 9 points) and the low-CAVI groups (mean CAVI < 9 points) were created. The neuronal fiber integrity of the WM was evaluated by neurite orientation dispersion and density imaging and magnetization transfer saturation imaging. Tract-Based Spatial Statistics and the tracts-of-interest analysis were performed. Specific WM regions (corpus callosum, internal capsule, anterior thalamic radiation, corona radiata, superior longitudinal fasciculus, forceps minor, and inferior fronto-occipital fasciculus) were selected in the tracts-of-interest analysis., Results: In Tract-Based Spatial Statistics, the high-CAVI group showed a significantly lower myelin volume fraction value in the broad WM and significantly higher radial diffusivity and isotropic volume fraction values in the corpus callosum, forceps minor, inferior fronto-occipital fasciculus, internal capsule, corona radiata, and anterior thalamic radiation than the low-CAVI group. In tracts-of-interest analysis using multivariate linear regression, significant associations were found between the mean CAVI and radial diffusivity in the anterior thalamic radiation and the corona radiata; isotropic volume fraction in the anterior thalamic radiation and the corona radiata; and myelin volume fraction in the superior longitudinal fasciculus ( P < .05). Additionally, partial correlation coefficients were observed for the significant associations of executive function with radial diffusivity and myelin volume fraction ( P < .05)., Conclusions: Arterial stiffness could be associated with demyelination rather than axonal degeneration., (© 2022 by American Journal of Neuroradiology.)
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- 2022
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42. Time-dependent Diffusion in Brain Abscesses Investigated with Oscillating-gradient Spin-echo.
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Maekawa T, Hori M, Murata K, Feiweier T, Kamiya K, Andica C, Hagiwara A, Fujita S, Kamagata K, Wada A, Abe O, and Aoki S
- Subjects
- Biological Transport, Diffusion, Humans, Brain Abscess diagnostic imaging, Diffusion Magnetic Resonance Imaging
- Abstract
Oscillating-gradient spin-echo sequences enable the measurement of diffusion weighting with a short diffusion time and can provide indications of internal structures. We report two cases of brain abscess in which the apparent diffusion coefficient (ADC) values appear higher at short diffusion times in comparison with those at long diffusion times. Diffusion time dependence of the ADC in brain abscesses suggests not only substrate viscosity but also restricted diffusion due to the structure within the lesions.
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- 2022
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43. Synthetic double inversion recovery (DIR) and phase-sensitive inversion recovery (PSIR) images showed better delineation of multiple sclerosis plaques.
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Nakaya M, Hagiwara A, Hori M, Yokoyama K, Fujita S, Andica C, Kamagata K, Hoshino Y, Tomizawa Y, Hattori N, and Aoki S
- Subjects
- Humans, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods, Multiple Sclerosis diagnostic imaging, Plaque, Atherosclerotic
- Published
- 2022
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44. White matter fiber-specific degeneration in older adults with metabolic syndrome.
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Andica C, Kamagata K, Uchida W, Takabayashi K, Shimoji K, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Hori M, and Aoki S
- Subjects
- Aged, Diffusion Tensor Imaging methods, Humans, Lipoproteins, LDL, Male, Obesity, Abdominal diagnostic imaging, Diabetes Mellitus, Type 2, Metabolic Syndrome, White Matter diagnostic imaging
- Abstract
Objective: Metabolic syndrome (MetS) is defined as a complex of interrelated risk factors for type 2 diabetes and cardiovascular disease, including glucose intolerance, abdominal obesity, hypertension, and dyslipidemia. Studies using diffusion tensor imaging (DTI) have reported white matter (WM) microstructural abnormalities in MetS. However, interpretation of DTI metrics is limited primarily due to the challenges of modeling complex WM structures. The present study used fixel-based analysis (FBA) to assess the effect of MetS on the fiber tract-specific WM microstructure in older adults and its relationship with MetS-related measurements and cognitive and locomotor functions to better understand the pathophysiology of MetS., Methods: Fixel-based metrics, including microstructural fiber density (FD), macrostructural fiber-bundle cross-section (FC), and a combination of FD and FC (FDC), were evaluated in 16 healthy controls (no components of MetS; four men; mean age, 71.31 ± 5.06 years), 57 individuals with premetabolic syndrome (preMetS; one or two components of MetS; 29 men; mean age, 72.44 ± 5.82 years), and 46 individuals with MetS (three to five components of MetS; 27 men; mean age, 72.15 ± 4.97 years) using whole-brain exploratory FBA. Tract of interest (TOI) analysis was then performed using TractSeg across 14 selected WM tracts previously associated with MetS. The associations between fixel-based metrics and MetS-related measurements, neuropsychological, and locomotor function tests were also analyzed in individuals with preMetS and MetS combined. In addition, tensor-based metrics (i.e., fractional anisotropy [FA] and mean diffusivity [MD]) were compared among the groups using tract-based spatial statistics (TBSS) analysis., Results: In whole-brain FBA, individuals with MetS showed significantly lower FD, FC, and FDC compared with healthy controls in WM areas, such as the splenium of the corpus callosum (CC), corticospinal tract (CST), middle cerebellar peduncle (MCP), and superior cerebellar peduncle (SCP). Meanwhile, in fixel-based TOI, significantly reduced FD was observed in individuals with preMetS and MetS in the anterior thalamic radiation, CST, SCP, and splenium of the CC compared with healthy controls, with relatively greater effect sizes observed in individuals with MetS. Compared with healthy controls, significantly reduced FC and FDC were only demonstrated in individuals with MetS, including regions with loss of FD, inferior cerebellar peduncle, inferior fronto-occipital fasciculus, MCP, and superior longitudinal fasciculus part I. Furthermore, negative correlations were observed between FD and Brinkman index of cigarette consumption cumulative amount and between FC or FDC and the Trail Making Test (parts B-A), which is a measure of executive function, waist circumference, or low-density lipoprotein cholesterol. Finally, TBSS analysis revealed that FA and MD were not significantly different among all groups., Conclusions: The FBA results demonstrate that substantial axonal loss and atrophy in individuals with MetS and early axonal loss without fiber-bundle morphological changes in those with preMetS within the WM tracts are crucial to cognitive and motor function. FBA also clarified the association between executive dysfunction, abdominal obesity, hyper-low-density lipoprotein cholesterolemia, smoking habit, and compromised WM neural tissue microstructure in MetS., (Copyright © 2022 The Author(s). Published by Elsevier GmbH.. All rights reserved.)
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- 2022
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45. Multimodal magnetic resonance imaging quantification of gray matter alterations in relapsing-remitting multiple sclerosis and neuromyelitis optica spectrum disorder.
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Andica C, Hagiwara A, Yokoyama K, Kato S, Uchida W, Nishimura Y, Fujita S, Kamagata K, Hori M, Tomizawa Y, Hattori N, and Aoki S
- Subjects
- Adult, Aged, Diffusion Tensor Imaging methods, Female, Gray Matter diagnostic imaging, Gray Matter pathology, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis pathology, Multiple Sclerosis, Relapsing-Remitting diagnostic imaging, Neuromyelitis Optica diagnostic imaging, Neuromyelitis Optica pathology, White Matter pathology
- Abstract
Herein, we combined neurite orientation dispersion and density imaging (NODDI) and synthetic magnetic resonance imaging (SyMRI) to evaluate the spatial distribution and extent of gray matter (GM) microstructural alterations in patients with relapsing-remitting multiple sclerosis (RRMS) and neuromyelitis optica spectrum disorder (NMOSD). The NODDI (neurite density index [NDI], orientation dispersion index [ODI], and isotropic volume fraction [ISOVF]) and SyMRI (myelin volume fraction [MVF]) measures were compared between age- and sex-matched groups of 30 patients with RRMS (6 males and 24 females; mean age, 51.43 ± 8.02 years), 18 patients with anti-aquaporin-4 antibody-positive NMOSD (2 males and 16 females; mean age, 52.67 ± 16.07 years), and 19 healthy controls (6 males and 13 females; mean age, 51.47 ± 9.25 years) using GM-based spatial statistical analysis. Patients with RRMS showed reduced NDI and MVF and increased ODI and ISOVF, predominantly in the limbic and paralimbic regions, when compared with healthy controls, while only increases in ODI and ISOVF were observed when compared with NMOSD. Compared to NDI and MVF, the changes in ODI and ISOVF were observed more widely, including in the cerebellar cortex. These abnormalities were associated with disease progression and disability. In contrast, patients with NMOSD only showed reduced NDI mainly in the cerebellar, limbic, and paralimbic cortices when compared with healthy controls and patients with RRMS. Taken together, our study supports the notion that GM pathologies in RRMS are distinct from those of NMOSD. However, owing to the limitations of the study, the results should be cautiously interpreted., (© 2022 Wiley Periodicals LLC.)
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- 2022
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46. Comparison of Brain Volume Measurements Made with 0.3- and 3-T MR Imaging.
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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, and Aoki S
- Subjects
- Brain diagnostic imaging, Humans, Reproducibility of Results, Imaging, Three-Dimensional methods, Magnetic Resonance Imaging methods
- Abstract
The volumes of intracranial tissues of 40 healthy volunteers acquired from 0.3- and 3-T scanners were compared using intraclass correlation coefficients, correlation analyses, and Bland-Altman analyses. We found high intraclass correlation coefficients, high Pearson's correlation coefficients, and low percentage biases in all tissues and most of the brain regions, although small differences were observed in some areas. These findings may support the validity of brain volumetry with low-field magnetic resonance imaging.
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- 2022
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47. Microstructural white matter abnormalities in multiple sclerosis and neuromyelitis optica spectrum disorders: Evaluation by advanced diffusion imaging.
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Kato S, Hagiwara A, Yokoyama K, Andica C, Tomizawa Y, Hoshino Y, Uchida W, Nishimura Y, Fujita S, Kamagata K, Hori M, Hattori N, Abe O, and Aoki S
- Subjects
- Diffusion Tensor Imaging methods, Humans, Water, Leukoaraiosis, Multiple Sclerosis pathology, Multiple Sclerosis, Relapsing-Remitting diagnostic imaging, Multiple Sclerosis, Relapsing-Remitting pathology, Neuromyelitis Optica diagnostic imaging, Neuromyelitis Optica pathology, White Matter diagnostic imaging, White Matter pathology
- Abstract
Introduction: Despite differences in the pathogenesis and treatment of multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD), it remains difficult to distinguish them. In this study, we aimed to discriminate between MS and NMOSD using diffusion tensor imaging (DTI), free water (FW) imaging, and neurite orientation dispersion and density imaging (NODDI)., Methods: Thirty patients with relapsing-remitting (RR) MS, 18 NMOSD patients with positive anti-aquaporin-4 immunoglobulin G seroreactivity, and 20 age- and sex- matched currently healthy subjects underwent MRI. The differences in the DTI (fractional anisotropy [FA], axial diffusivity [AD], mean diffusivity [MD], and radial diffusivity [RD]), FW and FW-corrected DTI, and NODDI indices between the three groups were evaluated using tract-based spatial statistics (TBSS) and region-of-interest (ROI) analyses., Results: The ROI analysis of lesions indicated that the RRMS group had significantly higher AD, MD, RD, ISO and FW-corrected AD, and MD; and lower intracellular volume fraction (ICVF) than the NMOSD group. TBSS analysis showed increased water content in RRMS patients compared to NMOSD patients. Compared with healthy controls (HCs) using TBSS and ROI analysis, the changes in FW imaging indices were more limited than those of in DTI in RRMS patients., Conclusion: FW imaging and NODDI were useful for identifying the etiology of neurodegeneration- and neuroinflammation-related microstructural changes in RRMS and NMOSD patients., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
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- 2022
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48. White matter microstructures in Parkinson's disease with and without impulse control behaviors.
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Takeshige-Amano H, Hatano T, Kamagata K, Andica C, Uchida W, Abe M, Ogawa T, Shimo Y, Oyama G, Umemura A, Ito M, Hori M, Aoki S, and Hattori N
- Subjects
- Brain diagnostic imaging, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging methods, Humans, Parkinson Disease diagnostic imaging, Parkinson Disease psychology, White Matter diagnostic imaging
- Abstract
Background: Impulse control behaviors (ICBs) in Parkinson's disease (PD) are thought to be caused by an overdose of dopaminergic therapy in the relatively spared ventral striatum, or by hypersensitivity of this region to dopamine. Alterations in brain networks are now also thought to contribute to the development of ICBs., Objective: To comprehensively assess white matter microstructures in PD patients with ICBs using advanced diffusion MRI and magnetization transfer saturation (MT-sat) imaging., Methods: This study included 19 PD patients with ICBs (PD-ICBs), 18 PD patients without ICBs (PD-nICBs), and 20 healthy controls (HCs). Indices of diffusion tensor imaging (DTI), diffusion kurtosis imaging, neurite orientation dispersion and density imaging, and MT-sat imaging were evaluated using tract-based spatial statistics (TBSS), regions of interest (ROIs), and tract-specific analysis (TSA)., Results: Compared with HCs, PD-nICBs had significant alterations in many major white matter tracts in most parameters. In contrast, PD-ICBs had only partial changes in several parameters. Compared with PD-ICBs, TBSS, ROI, and TSA analyses revealed that PD-nICBs had lower axial kurtosis, myelin volume fraction, and orientation dispersion index in the uncinate fasciculus and external capsule, as well as in the retrolenticular part of the internal capsule. These are components of the reward system and the visual and emotional perception areas, respectively., Interpretation: Myelin and axonal changes in fibers related to the reward system and visual emotional recognition might be more prominent in PD-nICBs than in PD-ICBs., (© 2022 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)
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- 2022
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49. Multiple sclerosis plaques may undergo continuous myelin degradation: a cross-sectional study with myelin and axon-related quantitative magnetic resonance imaging metrics.
- Author
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Maekawa T, Hagiwara A, Yokoyama K, Hori M, Andica C, Fujita S, Kamagata K, Wada A, Abe O, Tomizawa Y, Hattori N, and Aoki S
- Subjects
- Axons pathology, Benchmarking, Brain pathology, Cross-Sectional Studies, Humans, Magnetic Resonance Imaging methods, Myelin Sheath pathology, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis pathology, White Matter pathology
- Abstract
Purpose: We hypothesize that myelin is more susceptible to damage over time than axons. We investigated the association between the estimated duration from the onset of multiple sclerosis (MS) plaques and myelin- and axon-related quantitative synthetic magnetic resonance imaging (SyMRI) and neurite orientation dispersion and density imaging (NODDI) metrics., Methods: We analyzed 31 patients with MS with 73 newly appeared plaques. Simple linear regression analysis was performed to assess the association between the estimated duration from the onset of plaques and quantitative MRI metrics. These metrics included the myelin volume fraction (MVF), axon volume fraction, and g-ratio in plaque and normal-appearing white matter., Results: MS plaques with a longer estimated duration from onset were significantly correlated with a lower MVF (slope = - 0.0070, R
2 = 0.0970), higher g-ratio (slope = 0.0078, R2 = 0.0842) (all P values < 0.05)., Conclusion: These results suggested that myelin in plaques undergoes continuous damage, more so than axons. Myelin imaging with SyMRI and NODDI may be useful for the quantitative assessment of temporal changes in MS plaques., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)- Published
- 2022
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50. Advanced Diffusion MR Imaging for Multiple Sclerosis in the Brain and Spinal Cord.
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Hori M, Maekawa T, Kamiya K, Hagiwara A, Goto M, Takemura MY, Fujita S, Andica C, Kamagata K, Cohen-Adad J, and Aoki S
- Subjects
- Brain diagnostic imaging, Brain pathology, Diffusion Magnetic Resonance Imaging methods, Diffusion Tensor Imaging methods, Humans, Magnetic Resonance Imaging, Spinal Cord diagnostic imaging, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis pathology, White Matter diagnostic imaging, White Matter pathology
- Abstract
Diffusion tensor imaging (DTI) has been established its usefulness in evaluating normal-appearing white matter (NAWM) and other lesions that are difficult to evaluate with routine clinical MRI in the evaluation of the brain and spinal cord lesions in multiple sclerosis (MS), a demyelinating disease. With the recent advances in the software and hardware of MRI systems, increasingly complex and sophisticated MRI and analysis methods, such as q-space imaging, diffusional kurtosis imaging, neurite orientation dispersion and density imaging, white matter tract integrity, and multiple diffusion encoding, referred to as advanced diffusion MRI, have been proposed. These are capable of capturing in vivo microstructural changes in the brain and spinal cord in normal and pathological states in greater detail than DTI.This paper reviews the current status of recent advanced diffusion MRI for assessing MS in vivo as part of an issue celebrating two decades of magnetic resonance in medical sciences (MRMS), an official journal of the Japanese Society of Magnetic Resonance in Medicine.
- Published
- 2022
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