Diffusion Magnetic Resonance Imaging

Displaying 1 - 30 of 30CSV
Song, J. Y., Fleysher, R., Ye, K., Kim, M., Zimmerman, M. E., Lipton, R. B., & Lipton, M. L. (2025). Characterizing the microstructural transition at the gray matter-white matter interface: Implementation and demonstration of age-associated differences. NeuroImage, 306, 121019. https://doi.org/10.1016/j.neuroimage.2025.121019
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Shi, T. C., Durham, K., Marsh, R., & Pagliaccio, D. (2025). Differences in Head Motion During Functional Magnetic Resonance Imaging Across Pediatric Neuropsychiatric Disorders. Biological Psychiatry Global Open Science, 5(3), 100446. https://doi.org/10.1016/j.bpsgos.2024.100446
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Alshikho, M. J., Morales, C., Pyne, J. D., Amarante, E., Lao, P. J., Turney, I. C., Edwards, N. C., Gu, Y., Manly, J. J., Mayeux, R., & Brickman, A. M. (2024). Characterizing White Matter Hyperintensity (WMH) Patterns with Texture‐Based Analysis. Alzheimer’s & Dementia, 20(S2). Portico. https://doi.org/10.1002/alz.091712
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Lippert, R. V., Edwards, N. C., Tosto, G., Pyne, J. D., Lao, P. J., & Brickman, A. M. (2024). Cumulative Incidence Rate Score for Alzheimer’s Disease Risk is Associated with White Matter Hyperintensity Volume in Older Adults Without Dementia. Alzheimer’s & Dementia, 20(S2). Portico. https://doi.org/10.1002/alz.092734
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Santos, L., Guariento, A., Moustoufi-Moab, S., Nguyen, J., Tokaria, R., Raya, J. M., Zurakowski, D., Jambawalikar, S., & Jaramillo, D. (2024). Comparison of tibial and femoral physeal diffusion tensor imaging in adolescents. Pediatric Radiology, 54(13), 2243–2253. https://doi.org/10.1007/s00247-024-06073-6
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Chung, Y.-M., Hu, C.-S., Sun, E., & Tseng, H. C. (2024). Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. PLOS ONE, 19(9), e0310157. https://doi.org/10.1371/journal.pone.0310157
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Avolio, A., Gow, B., Nichols, W., Winter, D., Hayward, C., Gallagher, D., Cockcroft, J., Adji, A., Hashimoto, J., & Vlachopoulos, C. (2024). Tribute to Michael O’Rourke (1937–2024): A Collective Tribute to a Colleague, Friend and Mentor. Artery Research, 30(1). https://doi.org/10.1007/s44200-024-00056-6
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Luo, K. L., Santos, L., Tokaria, R., Jambawalikar, S., Duong, P. T., Raya, J. G., Mostoufi‐Moab, S., & Jaramillo, D. (2024). Generalizing Diffusion Tensor Imaging of the Physis and Metaphysis. Journal of Magnetic Resonance Imaging. Portico. https://doi.org/10.1002/jmri.29455
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Santos, L., Hsu, H.-Y., Nelson, R. R., Sullivan, B., Shin, J., Fung, M., Lebel, M. R., Jambawalikar, S., & Jaramillo, D. (2024). Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions. Tomography, 10(4), 504–519. https://doi.org/10.3390/tomography10040039
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Vriend, C., de Joode, N. T., Pouwels, P. J. W., Liu, F., Otaduy, M. C. G., Pastorello, B., Robertson, F. C., Ipser, J., Lee, S., Hezel, D. M., van Meter, P. E., Batistuzzo, M. C., Hoexter, M. Q., Sheshachala, K., Narayanaswamy, J. C., Venkatasubramanian, G., Lochner, C., Miguel, E. C., Reddy, Y. C. J., … van den Heuvel, O. A. (2024). Age of onset of obsessive-compulsive disorder differentially affects white matter microstructure. Molecular Psychiatry, 29(4), 1033–1045. https://doi.org/10.1038/s41380-023-02390-8
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Pyne, J., Morales, C., Alshikho, M. J., Lao, P. J., Turney, I. C., Gutierrez, J., Manly, J. J., Mayeux, R., & Brickman, A. M. (2023). Total and posterior cerebral blood flow is associated with white matter hyperintensity volume and Alzheimer’s‐like patterns of brain atrophy in older adults. Alzheimer’s & Dementia, 19(S17). Portico. https://doi.org/10.1002/alz.077345
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Alshikho, M. J., Pyne, J., Lao, P. J., Turney, I. C., Berroa, J., Gutierrez, J., Manly, J. J., & Brickman, A. M. (2023). Regional White Matter Hyperintensities are Associated with Diminished Blood Flow and Microstructure in Middle Age. Alzheimer’s & Dementia, 19(S17). Portico. https://doi.org/10.1002/alz.077380
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Munkombwe, C., Misiura, M., Igwe, K. C., Likos, K. D. S., Verble, D. D., Zetterberg, H., Brickman, A. M., Hu, W. T., Dotson, V. M., & Wharton, W. (2023). Neuroimaging Correlates of Alzheimer’s Disease biomarkers in a mid‐life, racially diverse high‐risk cohort. Alzheimer’s & Dementia, 19(S16). Portico. https://doi.org/10.1002/alz.080380
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Zhu, X., Kim, Y., Ravid, O., He, X., Suarez-Jimenez, B., Zilcha-Mano, S., Lazarov, A., Lee, S., Abdallah, C. G., Angstadt, M., Averill, C. L., Baird, C. L., Baugh, L. A., Blackford, J. U., Bomyea, J., Bruce, S. E., Bryant, R. A., Cao, Z., Choi, K., … Morey, R. A. (2023). Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage, 283, 120412. https://doi.org/10.1016/j.neuroimage.2023.120412
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Whittington, A., Porat, L., Christian, B. T., Devanand, D. P., Hostetler, E. D., Johnson, K. A., Johnson, S. C., Klunk, W. E., Lao, P. J., Rowe, C. C., Devanarayan, V., Reilhac, A., Reyderman, L., Irizarry, M. C., Charil, A., & Gunn, R. N. (2023). Estimating Braak stage from [18F]MK6240 PET scans. Alzheimer’s & Dementia, 19(S24). Portico. https://doi.org/10.1002/alz.083004
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Scalco, R., Saito, N., Beckett, L., Nguyen, M.-L., Huie, E., Wang, H.-P., Flaherty, D. A., Honig, L. S., DeCarli, C., Rissman, R. A., Teich, A. F., Jin, L.-W., & Dugger, B. N. (2023). The neuropathological landscape of Hispanic and non-Hispanic White decedents with Alzheimer disease. Acta Neuropathologica Communications, 11(1). https://doi.org/10.1186/s40478-023-01574-1
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Instrella, R., & Juchem, C. (2023). Uncertainty propagation in absolute metabolite quantification for in vivo MRS of the human brain. Magnetic Resonance in Medicine, 91(4), 1284–1300. Portico. https://doi.org/10.1002/mrm.29903
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Hoogenboom, W. S., Rubin, T. G., Ambadipudi, K., Cui, M.-H., Ye, K., Foster, H., Elkouby, E., Liu, J., Branch, C. A., & Lipton, M. L. (2023). Evolving brain and behaviour changes in rats following repetitive subconcussive head impacts. Brain Communications, 5(6). https://doi.org/10.1093/braincomms/fcad316
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Touroutoglou, A., Katsumi, Y., Brickhouse, M., Zaitsev, A., Eckbo, R., Aisen, P., Beckett, L., Dage, J. L., Eloyan, A., Foroud, T., Ghetti, B., Griffin, P., Hammers, D., Jack, C. R., Kramer, J. H., Iaccarino, L., Joie, R. L., Mundada, N. S., … Koeppe, R. (2023). The Sporadic Early‐onset Alzheimer’s Disease Signature Of Atrophy: Preliminary Findings From The Longitudinal Early‐onset Alzheimer’s Disease Study (LEADS) Cohort. Alzheimer’s & Dementia, 19(S9). Portico. https://doi.org/10.1002/alz.13466
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Jain, L., Khrestian, M., Formica, S., Tuason, E. D., Pillai, J. A., Rao, S., Oguh, O., Lippa, C. F., Lopez, O. L., Berman, S. B., Tsuang, D. W., Zabetian, C. P., Irwin, D. J., Galasko, D. R., Litvan, I., Marder, K. S., Honig, L. S., Fleisher, J. E., Galvin, J. E., … Bekris, L. M. (2023). ATN cerebrospinal fluid biomarkers in dementia with Lewy bodies: Initial results from the United States Dementia with Lewy Bodies Consortium. Alzheimer’s & Dementia, 20(1), 549–562. Portico. https://doi.org/10.1002/alz.13398
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Argiris, G., Stern, Y., Lee, S., Ryu, H., & Habeck, C. (2023). Simple topological task-based functional connectivity features predict longitudinal behavioral change of fluid reasoning in the RANN cohort. NeuroImage, 277, 120237. https://doi.org/10.1016/j.neuroimage.2023.120237
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Misiura, M., Munkombwe, C., Verble, D. D., Likos, K. D. S., Igwe, K. C., Zetterberg, H., Kumar, V., Brickman, A. M., Hu, W. T., Dotson, V. M., & Wharton, W. (2023). Correlates of neuroimaging biomarkers in a middle‐age racially diverse cohort: Updates from the association between cardiovascular risk and preclinical Alzheimer’s Disease pathology (ASCEND) study. Alzheimer’s & Dementia, 19(S3). Portico. https://doi.org/10.1002/alz.066894
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Pouwels, P. J. W., Vriend, C., Liu, F., de Joode, N. T., Otaduy, M. C. G., Pastorello, B., Robertson, F. C., Venkatasubramanian, G., Ipser, J., Lee, S., Batistuzzo, M. C., Hoexter, M. Q., Lochner, C., Miguel, E. C., Narayanaswamy, J. C., Rao, R., Janardhan Reddy, Y. C., Shavitt, R. G., Sheshachala, K., … van den Heuvel, O. A. (2022). Global multi‐center and multi‐modal magnetic resonance imaging study of obsessive‐compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms. International Journal of Methods in Psychiatric Research, 32(1). Portico. https://doi.org/10.1002/mpr.1931
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Hani Hojjati, S., Butler, T. A., Chiang, G. C., Habeck, C., RoyChoudhury, A., Feiz, F., Shteingart, J., Nayak, S., Ozoria, S., Fernández, A., Stern, Y., Luchsinger, J. A., Devanand, D. P., & Razlighi, Q. R. (2023). Distinct and joint effects of low and high levels of Aβ and tau deposition on cortical thickness. NeuroImage: Clinical, 38, 103409. https://doi.org/10.1016/j.nicl.2023.103409
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Banks, G. P., Heilbronner, S. R., Goodman, W., & Sheth, S. A. (2022). A population-normalized tractographic fiber atlas of the anterior limb of the internal capsule: relevance to surgical neuromodulation. Journal of Neurosurgery, 137(5), 1278–1288. https://doi.org/10.3171/2022.1.jns211935
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Ettehadi, N., Kashyap, P., Zhang, X., Wang, Y., Semanek, D., Desai, K., Guo, J., Posner, J., & Laine, A. F. (2022). Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks. Frontiers in Human Neuroscience, 16. https://doi.org/10.3389/fnhum.2022.877326
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Williams, J. C., Tubiolo, P. N., Luceno, J. R., & Van Snellenberg, J. X. (2022). Advancing motion denoising of multiband resting-state functional connectivity fMRI data. NeuroImage, 249, 118907. https://doi.org/10.1016/j.neuroimage.2022.118907
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Lao, P. J., Berroa, J., Benavides, A., Tejeda, E., Shouel, H., Igwe, K., Maas, B., Schupf, N., Mayeux, R., Manly, J. J., & Brickman, A. M. (2021). Amyloid and tau PET in a middle‐aged, racially and ethnically diverse, community‐based cohort. Alzheimer’s & Dementia, 17(S4). Portico. https://doi.org/10.1002/alz.050953
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Rosas, H. D., Hasimoglu, Y., Mercaldo, N., Lai, F., Petersen, M., Brickman, A. M., Keator, D., Yassa, M. A., Lott, I. T., Silverman, W., Schupf, N., & O’Bryant, S. (2021). Alterations in white matter integrity in cognitively stable Down syndrome correlate with plasma neurofilament light chain: Evidence of early myelin breakdown. Alzheimer’s & Dementia, 17(S4). Portico. https://doi.org/10.1002/alz.056379
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Gazes, Y., Li, R., Mensing, A., Babukutty, R. S., Noofoory, D., Nazario, G. H., Langfield, C., Sakhardande, J., & Lee, S. (2021). White matter fiber density for vocabulary better maintained than fluid abilities in aging. Alzheimer’s & Dementia, 17(S4). Portico. https://doi.org/10.1002/alz.055582
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