White matter abnormalities and cognition in aging and Alzheimer disease
Open accessAbstract
Importance There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD). Objective To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment. Design, Setting, and Participants This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were aged 50 years or older, and passed neuroimaging quality control. Demographic and clinical covariates included age, sex, education, race and ethnicity, APOE haplotype status (ε2, ε3, ε4), and clinical status. The present study was conducted from June 2024 to February 2025. Exposures White matter microstructure and cognitive performance and decline. Main Outcomes and Measures Clinical diagnosis, imaging measures (dMRI, T1-weighted MRI, and amyloid and tau positron emission tomography), and cognitive tests. Results Of 4467 participants who underwent 9208 longitudinal cognitive sessions, 2698 (60.4%) were female, and the mean age (SD) was 74.3 (9.2) years; 3213 were cognitively unimpaired, 972 had mild cognitive impairment, and 282 had AD dementia. White matter free water (FW) showed the strongest associations with cross-sectional cognitive performance and longitudinal cognitive decline across all domains, particularly memory. FW in limbic tracts, such as the cingulum, presented the strongest associations with both memory performance (cingulum: β = −0.718; P < .001; fornix: β = −1.069; P < .001) and decline (cingulum: β = −0.115; P < .001; fornix: β = −0.153; P < .001). White matter FW measures interacted with baseline diagnosis, gray matter atrophy, APOE ε4 status, and amyloid positivity to predict poorer cognitive performance and accelerated cognitive decline. Noteworthy interactions include fornix FW and hippocampal volume (β = 10.598; P < .001), cingulum FW and SPARE-AD index (β = −0.532; P < .001), and inferior temporal gyrus transcallosal tract FW and baseline diagnosis (β = −0.537; P < .001), all predicting poorer memory performance. Conclusions and Relevance White matter microstructural changes, particularly FW, play a critical role in cognitive decline in aging and AD-related cognitive impairment. These findings highlight the importance of FW correction in dMRI studies and highlight the limbic system, especially the cingulum and fornix, as key regions associated with cognitive decline; the interaction models highlight that integrating FW-corrected metrics with other AD biomarkers may further elucidate the biological mechanisms of neurodegeneration in aging.
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White-matter free water has shown associations with cognitive performance and subsequent decline, particularly in limbic tracts.
“White-matter free water has shown associations with cognitive performance and subsequent decline, particularly in limbic tracts (Nakaya et al., 2022; Peter et al., 2025).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Peter et al., 2025
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Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803 · see citing works
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Self-citationAvants, B., Epstein, C. L., Grossman, M., & Gee, J. C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,618 · see citing works
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Self-citationNODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
2024 Alzheimer's disease facts and figures
(2024) · Alzheimer's & Dementia · doi:10.1002/alz.13809 · Cited by 2,536 · see citing works
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R. P., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,832 · see citing works
Self-citationThe role of prefrontal cortex in cognitive control and executive function
Friedman, N. P., & Robbins, T. W. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01132-0 · Cited by 1,737 · see citing works
Free water elimination and mapping from diffusion MRI
Pasternak, O., Sochen, N., Gur, Y., Intrator, N., & Assaf, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22055 · Cited by 1,092 · see citing works
A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease
Sexton, C. E., Kalu, U. G., Filippini, N., Mackay, C. E., & Ebmeier, K. P. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.019 · Cited by 410 · see citing works
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · see citing works
Self-citationLongitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data
Beer, J. C., Tustison, N. J., Cook, P. A., Davatzikos, C. A., Sheline, Y. I., Shinohara, R. T., & Linn, K. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117129 · Cited by 323 · see citing works
Self-citationDavatzikos, C., Xu, F., An, Y., Fan, Y., & Resnick, S. M. (2009) · Brain · doi:10.1093/brain/awp091 · Cited by 315 · see citing works
Self-citationStricker, N. H., Schweinsburg, B. C., Delano‐Wood, L., Wierenga, C. E., Bangen, K. J., Haaland, K. Y., Frank, L. R., Salmon, D. P., & Bondi, M. W. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.027 · Cited by 308 · see citing works
The role of the supplementary motor area for speech and language processing
Hertrich, I., Dietrich, S., & Ackermann, H. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.030 · Cited by 298 · see citing works
18F-MK-6240 PET for early and late detection of neurofibrillary tangles
Pascoal, T. A., Therriault, J., Benedet, A. L., Savard, M., Lussier, F. Z., Chamoun, M., Tissot, C., Qureshi, M. N. I., Kang, M. S., Mathotaarachchi, S. S., et al. (2020) · Brain · doi:10.1093/brain/awaa180 · Cited by 257 · see citing works
Synthesized b0 for diffusion distortion correction (Synb0-DisCo)
Schilling, K. G., Blaber, J. A., Huo, Y., Newton, A. T., Hansen, C. B., Nath, V., Shafer, A. T., Williams, O. A., Resnick, S. M., Rogers, B. P., et al. (2019) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2019.05.008 · Cited by 254 · see citing works
Self-citationLongitudinal changes in free-water within the substantia nigra of Parkinson’s disease
Ofori, E., Pasternak, O., Planetta, P. J., Li, H., Burciu, R. G., Snyder, A. F., Lai, S., Okun, M. S., & Vaillancourt, D. E. (2015) · Brain · doi:10.1093/brain/awv136 · Cited by 222 · see citing works
Progression marker of Parkinson’s disease: a 4-year multi-site imaging study
Burciu, R. G., Ofori, E., Archer, D. B., Wu, S. S., Pasternak, O., McFarland, N. R., Okun, M. S., & Vaillancourt, D. E. (2017) · Brain · doi:10.1093/brain/awx146 · Cited by 200 · see citing works
Self-citationDetecting cognitive changes in preclinical Alzheimer's disease: A review of its feasibility
Mortamais, M., Ash, J. A., Harrison, J., Kaye, J. A., Kramer, J. H., RANDOLPH, C. C., Pose, C., Albala, B., Ropacki, M. T., Ritchie, C. W., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.06.2365 · Cited by 191 · see citing works
Free water determines diffusion alterations and clinical status in cerebral small vessel disease
Duering, M., Finsterwalder, S., Baykara, E., Tuladhar, A. M., Gesierich, B. G., Konieczny, M. J., Malik, R., Franzmeier, N., Ewers, M., Jouvent, É., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.12.007 · Cited by 186 · see citing works
Talwar, P., Kushwaha, S. S., Chaturvedi, M., & Mahajan, V. (2021) · Clinical Neuroradiology · doi:10.1007/s00062-021-01057-7 · Cited by 134 · see citing works
Hoy, A. R., Ly, M., Carlsson, C. M., Okonkwo, O. C., Zetterberg, H., Blennow, K., Sager, M. A., Asthana, S., Johnson, S. C., Alexander, A. L., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173982 · Cited by 125 · see citing works
Self-citationArcher, D. B., Bricker, J. T., Chu, W. T., Burciu, R. G., McCracken, J. L., Lai, S., Coombes, S. A., Fang, R., Barmpoutis, A., Corcos, D. M., et al. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30105-0 · Cited by 124 · see citing works
Self-citationA Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI
Archer, D. B., Vaillancourt, D. E., & Coombes, S. A. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx066 · Cited by 123 · see citing works
Self-citationCai, L. Y., Yang, Q., Hansen, C. B., Nath, V., Ramadass, K., Johnson, G. W., Conrad, B. N., Boyd, B. D., Begnoche, J. P., Beason‐Held, L. L., et al. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28678 · Cited by 118 · see citing works
Self-citationLongitudinal 18F-MK-6240 tau tangles accumulation follows Braak stages
Pascoal, T. A., Benedet, A. L., Tudorascu, D., Therriault, J., Mathotaarachchi, S. S., Savard, M., Lussier, F. Z., Tissot, C., Chamoun, M., Kang, M. S., et al. (2021) · Brain · doi:10.1093/brain/awab248 · Cited by 113 · see citing works
Free Water in White Matter Differentiates MCI and AD From Control Subjects
Dumont, M., Roy, M., Jodoin, P., Morency, F. C., Houde, J., Xie, Z., Bauer, C., Samad, T. A., Dijk, K. R. A. V., Goodman, J. A., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00270 · Cited by 108 · see citing works
Cognitive domain harmonization and cocalibration in studies of older adults.
Mukherjee, S., Choi, S., Lee, M. L., Scollard, P., Trittschuh, E. H., Mez, J. B., Saykin, A. J., Gibbons, L. E., Sanders, R. E., Zaman, A. F., et al. (2022) · Neuropsychology · doi:10.1037/neu0000835 · Cited by 108 · see citing works
Self-citationBozzali, M., Giulietti, G., Basile, B., Serra, L., Spanò, B., Perri, R., Giubilei, F., Marra, C., Caltagirone, C., & Cercignani, M. (2012) · Human Brain Mapping · doi:10.1002/hbm.21287 · Cited by 107 · see citing works
A widespread visually-sensitive functional network relates to symptoms in essential tremor
Archer, D. B., Coombes, S. A., Chu, W. T., Chung, J. W., Burciu, R. G., Okun, M. S., Shukla, A. W., & Vaillancourt, D. E. (2017) · Brain · doi:10.1093/brain/awx338 · Cited by 89 · see citing works
Self-citationIndividual classification of Alzheimer's disease with diffusion magnetic resonance imaging
Schouten, T. M., Koini, M., de Vos, F., Seiler, S., de Rooij, M., Lechner, A., Schmidt, R., van den Heuvel, M. P., van der Grond, J., & Rombouts, S. A. R. B. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.025 · Cited by 80 · see citing works
Free-water imaging of the hippocampus is a sensitive marker of Alzheimer's disease
Ofori, E., DeKosky, S. T., Febo, M., Colón-Pérez, L. M., Chakrabarty, P., Duara, R., Adjouadi, M., Golde, T. E., & Vaillancourt, D. E. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101985 · Cited by 67 · see citing works
White-matter free-water diffusion MRI in schizophrenia: A systematic review and meta-analysis
Carreira Figueiredo, I., Borgan, F., Pasternak, O., Turkheimer, F. E., & Howes, O. D. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01272-x · Cited by 65 · see citing works
Fractional Anisotropy changes in Parahippocampal Cingulum due to Alzheimer’s Disease
da Rocha, J. L. D., Bramati, I. E., Coutinho, G., Tovar-Moll, F. F., & Sitaram, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-59327-2 · Cited by 61 · see citing works
Brown, C. A., Johnson, N. F., Anderson-Mooney, A. J., Jicha, G. A., Shaw, L. M. J., Trojanowski, J. Q., Eldik, L. J. V., Schmitt, F. A., Smith, C. D., & Gold, B. T. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.11.024 · Cited by 60 · see citing works
Self-citationMultimodal dopaminergic and free-water imaging in Parkinson's disease
Yang, J., Archer, D. B., Burciu, R. G., Müller, M. L. T. M., Roy, A., Ofori, E., Bohnen, N. I., Albin, R. L., & Vaillancourt, D. E. (2019) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2019.01.007 · Cited by 56 · see citing works
Self-citationQuantification of amyloid beta and tau PET without a structural MRI
Landau, S. M., Ward, T. J., Murphy, A., Iaccarino, L., Harrison, T. M., Joie, R. L., Baker, S. L., Koeppe, R. A., Jagust, W. J., & Initiative, A. D. N. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12668 · Cited by 54 · see citing works
Self-citationDevelopment of a transcallosal tractography template and its application to dementia
Archer, D. B., Coombes, S. A., McFarland, N. R., DeKosky, S. T., & Vaillancourt, D. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.065 · Cited by 46 · see citing works
Self-citationArcher, D. B., Moore, E. E., Shashikumar, N., Dumitrescu, L. C., Pechman, K. R., Landman, B. A., Gifford, K. A., Jefferson, A. L., & Hohman, T. J. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.05.001 · Cited by 39 · see citing works
Self-citationThe relationship between white matter microstructure and self-perceived cognitive decline
Archer, D. B., Moore, E. E., Pamidimukkala, U., Shashikumar, N., Pechman, K. R., Blennow, K., Zetterberg, H., Landman, B. A., Hohman, T. J., Jefferson, A. L., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102794 · Cited by 26 · see citing works
Self-citationYang, Y., Schilling, K. G., Shashikumar, N., Jasodanand, V. H., Moore, E. E., Pechman, K. R., Bilgel, M., Beason‐Held, L. L., An, Y., Shafer, A. T., et al. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12425 · Cited by 20 · see citing works
Self-citationArcher, D. B., Schilling, K. G., Shashikumar, N., Jasodanand, V. H., Moore, E. E., Pechman, K. R., Bilgel, M., Beason‐Held, L. L., An, Y., Shafer, A. T., et al. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12468 · Cited by 18 · see citing works
Self-citationPeterson, A. J., Sathe, A., Zaras, D., Yang, Y., Durant, A., Deters, K., Shashikumar, N., Pechman, K. R., Kim, M. E., Gao, C., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14343 · Cited by 17 · see citing works
Self-citationArcher, D. B., Patten, C., & Coombes, S. A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23681 · Cited by 16 · see citing works
Self-citationYounes, K., Smith, V., Johns, E., Carlson, M. L., Winer, J., He, Z., Henderson, V. W., Greicius, M. D., Young, C. B., & Mormino, E. C. (2024) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2024.05.002 · Cited by 13 · see citing works
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Kim, M. E., Ramadass, K., Gao, C., Kanakaraj, P., Newlin, N. R., Rudravaram, G., Schilling, K. G., Dewey, B. E., Archer, D. B., Hohman, T. J., et al. (2025) · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications · doi:10.1117/12.3047273 · Cited by 11 · see citing works
Self-citationSathe, A., Yang, Y., Schilling, K. G., Shashikumar, N., Moore, E. E., Dumitrescu, L. C., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00293 · Cited by 9 · see citing works
Self-citationRafiq, M., Jucla, M., Guerrier, L., Péran, P., Pariente, J., & Pistono, A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.959405 · Cited by 7 · see citing works
Kim, M. E., Gao, C., Newlin, N. R., Rudravaram, G., Krishnan, A. R., Ramadass, K., Kanakaraj, P., Schilling, K. G., Dewey, B. E., Bennett, D., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0327388 · Cited by 6 · see citing works
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Zhang, J., Yang, X., Wang, Y., Xu, X., Zheng, Y., Huang, Q., Wang, W., Xu, W., Guan, Y., Liu, J., et al. (2025) · Radiology · doi:10.1148/radiol.243423 · Cited by 9 · see citing works
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Chen, H., Verkhratsky, A., Yi, C., & Oliver, B. G. G. (2025) · Biology of Sex Differences · doi:10.1186/s13293-025-00774-9 · Cited by 7 · see citing works
Bachmann, D., Gericke, C., Wybitul, M., Saake, A., Studer, S. T., Rauen, K., Gruber, E., Buchmann, A., Hüllner, M. W., Blennow, K., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02038-z · Cited by 5 · see citing works
Etxeberría, A., Lee, S.-H., Kuhn, J., Callow, M. G., Novikova, G., Fortin, J., Choy, M. K., Xie, L., Imperio, J., Vito, S., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.02.023 · Cited by 4 · see citing works
Zeng, Z., Jia, X., Han, S., Zeng, C., Bi, J., Liu, L., Wu, Y., Gao, T., Liang, L., & Cheng, F. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1733820 · Cited by 3 · see citing works
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Zhou, X., Hu, Y., Yang, J., Zhang, J., Yong, T., Tang, L., Zheng, J., Lan, H., Yin, T., Liu, D., et al. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.106819 · Cited by 2 · see citing works
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Liu, Y., Lynch, K. M., Rentería, M. A., Nichols, E., Gross, A. L., Kobayashi, L. C., Jahanshad, N., John, J. P., Vishwakarma, H., Khobragade, P. Y., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71697 · Cited by 2 · see citing works
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Li, Z., Li, H., Tian, B., Liu, H., Jiang, Y., Yang, P., Fan, G., & Liu, H. (2026) · Journal of Autoimmunity · doi:10.1016/j.jaut.2026.103560 · Cited by 1 · see citing works
Self-citationSong, C., Lee, Y., & Kim, M. S. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1813048 · Cited by 1 · see citing works
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Self-citationHuang, Y., Li, Z., Yuan, Y., Wang, M., Zhang, M., Li, Z., Li, Z., Li, X., & Li, W. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2026.02.029 · Cited by 1 · see citing works
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Self-citationMerenstein, J. L., Bennett, I. J., & Madden, D. J. (2026) · Human Brain Mapping · doi:10.1002/hbm.70511 · Cited by 1 · see citing works
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Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“White-matter free water has shown associations with cognitive performance and subsequent decline, particularly in limbic tracts (Nakaya et al., 2022; Peter et al., 2025).”
Sathe, A., Chatterjee, A., Shashikumar, N., Pechman, K., Schilling, K. G., Landman, B., Bolton, C. J., Zhang, P.-P., Bender, A. R., Hohman, T., et al. (2025) · medRxiv · doi:10.1101/2025.05.29.25328528
Self-citationZdanovskis, N., Kaļva, K., Platkājis, A., Kostiks, A., Šneidere, K., Karelis, G., & Stepens, A. (2025) · Neurology International · doi:10.3390/neurolint17100154
Golani, S., Kellogg, C., Nguyen, V. S., Thon, J. M., Carroll, T., Patel, K., Penckofer, M., Dubinski, M. J., Garfinkel, L., Elgendy, O., et al. (2025) · Stroke Vascular and Interventional Neurology · doi:10.1161/svin.125.002006
Li, X., & Jin, X. K. (2025) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/cme67420.2025.11239378
Fang, Y., & Han, J. (2025) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2025.11.011
Toniolo, S., Attaallah, B., Broulidakis, J., Maio, M. R., Slavkova, E. D., Dickson, S. S., Plant, O., Idris, I., Tabi, Y. A., Butler, C., et al. (2026) · medRxiv · doi:10.64898/2026.02.10.26345988
Lee, J. Y., Cai, Y., Westerhausen, M. T., Michael, J. A., Teo, J. D., Song, H., Watt, G., Ellis, S. R., & Don, A. S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.17.706445
Neuroimaging PheWAS and molecular phenotyping implicate PSMC3 in Alzheimer's disease
Bledsoe, X., Wang, T., Wu, Y., Archer, D. B., Chen, H. H., Naj, A. C., Bush, W. S., Hohman, T. J., Dumitrescu, L. C., Below, J. E., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71217
Self-citationWeber, C., Smyth, P. S., Blevins, G., Wilbur, C., Emery, D. J., & Beaulieu, C. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1186
Free water changes and their correlations with multimodal biomarkers in frontotemporal dementia
Chu, M., Yan, S. Q., He, Q., Yue, A., Chen, Y., Hou, J., Kwapong, W. R., Nan, H., Ye, H., Rosa‐Neto, P., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71305
Lazzaretti, F. J., Botton, L. P., Lokschin, C. G. H., Felício, A. D. O., Patatt, J., da Costa, J. C., Aguzzoli, C. S., & Schilling, L. P. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71341
Si, K., Sun, C., Guo, H., Shi, C., & Wang, Y. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261449420
Erişir, A., Maher, E. E., Anderson, Z., Chawla, S., Hanley, L., Zhao, A., Birisik, K., Toklucu, E. S., & Keskinöz, E. N. (2026) · Acta Neuropathologica Communications · doi:10.1186/s40478-026-02320-z
Patterson, C., Chattopadhyay, T., Thomopoulos, S. I., Saykin, A. J., Davatzikos, C. A., Mormino, E. C., Tosun, D., Beecham, G. W., Biber, S., Kukull, W. A., et al. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6791127
Self-citationKudriavtsev, N., Rosso, M., Fernández‐Rubio, G., Serra, E., Kringelbach, M. L., Vuust, P., & Bonetti, L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.29.728718
Zhang, J., Teng, Y., Li, Y., & Zhang, M. Y. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261456313
Short T1 Fraction as a Marker of Myelin Content: Evidence from Postmortem MRI and HistologyPreprint
Li, C., Leitner, D., Liang, Z., Yakovishina, V., Ibrahim, M., Faustin, A., Wısnıewskı, T., Wadghiri, Y. Z., Ge, Y., & Zhang, J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.31.728778
Patro, S. G. K., Panda, R., Chatterjee, S., Mohanty, J., Mishra, S., Mammadova, K., Rakhimova, M., Qasim, M. T., & Khishe, M. (2026) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2026.100423
Chen, Z., Yang, K., Lin, F., Tang, W., Shi, Y., Zhou, S., Liu, J. S., & You, Y. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103229
Suharyana, T., Hasan, A., & Willmare, J. (2026) · Sriwijaya Journal of Radiology and Imaging Research · doi:10.59345/sjrir.v3i2.285
Genetically linked brain imaging markers of memory decline in aging and Alzheimer's disease
Yang, Y., Lorenz, A., Sathe, A., Schilling, K. G., Gaynor, L. S., Choi, S., Lee, M. L., Scollard, P., Trittschuh, E. H., Mukherjee, S., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71663
Self-citationLeFevre, J. D., Vyas, Y., Sathe, A., Shashikumar, N., Pechman, K. R., Yang, Y., Durant, A., Kanakaraj, P., Kim, M. E., Gao, C., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71698
Self-citationNegev, S., Gruenbaum, B. F., Zvenigorodsky, V., Bitansky-Brosch, S., Shelef, I., Grinshpun, J., Zeldetz, V., Melamed, I., Zlotnik, A., & Boyko, M. (2026) · GeroScience · doi:10.1007/s11357-026-02447-w
Liu, Y., He, C., Geng, X., Chen, X., & He, J. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1886072
Does HIV-1 infection drive Alzheimer’s disease pathobiology?
Etafo, E., Dutta, D., Bhattarai, S., Gendelman, H. E., & Gorantla, S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106932
Or, P., Yon, M., Narvaez, O., Sitnikova, V., Malm, T., Bouhrara, M., Sierra, A., Topgaard, D., & Benjamini, D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.26.747377
Guo, C., Fang, Y., Qiu, Q., Fan, L., Brodaty, H., Sachdev, P. S., Wen, W. X., & Li, X. (2026) · International Psychogeriatrics · doi:10.1016/j.inpsyc.2026.100265
Chung, M.-W., Chen, C.-C., Yeap, M.-C., Chen, Y.-C., Chen, P.-L., Yeh, C.-H., Lu, C.-S., & Tu, P. (2026) · BMJ Neurology Open · doi:10.1136/bmjno-2026-001742
Huang, L., Cheng, P., Liu, G., Xiang, Y., Hong, Z., & Le, W. (2026) · MedComm · doi:10.1002/mco2.71017
Zhu, Z., Xu, J., Wu, N., Su, Q., Zhu, S., Jiang, J., Zhang, G., Wang, L., & Lin, H. (2026) · Research Square · doi:10.21203/rs.3.rs-10979108/v1
Self-citationPercio, C. D., Lizio, R., Noce, G., Carpi, M., Lopez, S., Carducci, F., Bartolo, M. D., Afragola, A. P., Soricelli, A., Salvatore, M., et al. (2026) · Clinical Neurophysiology · doi:10.1016/j.clinph.2026.2112432
Tang, R., Tang, L., Zheng, L., Ma, Y., Chen, N., Zheng, X., & Tian, Y. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02391-y
Self-citationChupina, I., Roos, N. M., Sierpowska, J., Oostenveld, R., Tuladhar, A. M., Westner, B. U., & Piai, V. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.26.761817
Chen, C., Zhang, J., Duan, C., Li, X., & Guo, H. (2026) · Med Research · doi:10.1002/mdr2.70096
- Authors
- Peter, C., Sathe, A., Shashikumar, N., Pechman, K. R., Workmeister, A. W., Jackson, T. B., Huo, Y., Mukherjee, S., Mez, J., Dumitrescu, L. C., Gifford, K. A., Bolton, C. J., Gaynor, L. S., Risacher, S. L., Beason-Held, L. L., An, Y., Arfanakis, K., Erus, G., Davatzikos, C., Tosun-Turgut, D., Habes, M., Wang, D., Toga, A. W., Thompson, P. M., Zhang, P., Schilling, K. G., Albert, M., Kukull, W., Biber, S. A., Landman, B. A., Bendlin, B. B., Johnson, S. C., Schneider, J., Barnes, L. L., Bennett, D. A., Jefferson, A. L., Resnick, S. M., Saykin, A. J., Crane, P. K., Cuccaro, M. L., Hohman, T. J., Archer, D. B., Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium (ADSP-PHC) Analyst Team, Adegoke, O., Aisen, P., Apostolova, L. G., Ashford, M., Barnes, L., Beckett, L., Bernard, M., Bernhardt, H., Borowski, B., Cabrera, Y., Cairns, N. J., Carrillo, M., Chen, K., Choe, M., Clanton, T., Coker, G., Conti, C., Crawford, K., Das, S., DeCarli, C., Donohue, M., Faber, K., Fleisher, A., Flenneiken, D., Fletcher, E., Fockler, J., Forghanian-Arani, A., Foroud, T. M., Fox, N. C., Franklin, E., Gessert, D., González, H., Green, R. C., Gunter, J., Harvey, D., Hergesheimer, L., Ho, C., Householder, E., Hsaio, J. K., Jack, C. R., Jackson, J., Jagust, W., Jahanshad, N., Jimenez, G., Jin, C., Jones, D., Kantarci, K., Khachaturian, Z., Knaack, A., Koeppe, R. A., Kormos, A., Landau, S., Mahboubi, P., Malone, I., Masliah, E., Masterman, D., Mathis, C., Miller, G., Montine, T., Moore, S., Morris, J. C., Neu, S., Neuhaus, J., Nho, K., Nir, T. M., Nosheny, R., Nudelman, K., Okonkwo, O., Perrin, R. J., Peterson, R., Pizzola, J., Potter, W., Rafii, M., Raman, R., Reid, R., Reiman, E. R., Risacher, S. L., Rossi Chen, S., Ryan, L., Salazar, J., Saykin, A. J., Schwarz, C., Senjem, M., Shaffer, E., Shaw, L. M., Shen, L., Silverberg, N., Smith, S., Taylor-Reinwald, L., Thal, L., Thomopoulos, S. I., Thompson, P., Toga, A. W., Tosun-Turgut, D., Trojanowski, J. Q., Truran Sacrey, D., Veitch, D., Vemuri, P., Walter, S., Ward, C., Weiner, M. W., Wilmes, K., Yushkevich, P. A., Zimmerman, C., Albert, M., Rodzon, B., Soldan, A., Pettigrew, C., Farrington, L., Grega, M., Rudow, G., Rudow, S., Miller, M., Bakker, A., Ratnanather, T., Kolasny, A., Oishi, K., Younes, L., Moghekar, A., Na, C.-H., Worley, P., Ervin, A., Shade, D., Jones, J., Coulibaly, H., Wang, M.-C., Zhu, D., Wang, J., Troncoso, J., Nauen, D., Ellis, K., Haines, J., Lynn, A., Williams, S. M., Wheeler, N. R., Lerner, A. J., Bartlett, J., Benchek, P., Song, Y., Gim, J., Barral Rodriguez, S., De Jager, P., Leal, S., Ma, Y., Mayeux, R., Reitz, C., Reyes-Dumeyer, D., Vardarajan, B. N., Ahmad, S., Comic, H., Craft, H., Jo, T., Risacher, S. L., Saykin, A. J., Byun, M. S., Lee, D. Y., Yi, D., McNeil, J., Andrews, S., Fulton-Howard, B., Goate, A., Humphrey, J., Marcora, D., Patel, T., Raj, T., Renton, A., Sharp, A., Vialle, R., Foroud, T., Lacy, K., Knowles, D., Lakhani, C., Das, A., Lin, T., Freudenberg-Hua, Y., Wang, S., Greicius, M., Kundaje, A., Montgomery, S., Corces, R., Guðnason, V., Beecham, G., Cuccaro, M., Griswold, T., Hamilton-Nelson, K., Kunkle, B., Kushch, N., Martin, E., Mena, P., Pericak-Vance, P., Rajabli, F., Schmidt, M., Slifer, S., Vance, J., Nuytemans, K., Whitehead, P., Adams, L. D., Gilbert, J. R., Kardia, S., Smith, J., Zhao, W., Amin, N., van Duijn, C., Cantwell, L. B., Chou, Y.-F., Davatzikos, C., Nicaretta, H., Kuzma, A. B., Lee, W.-P., Leung, F., Malamon, J., Naj, A., Schellenberg, J., Wang, L.-S., Valladares, O., Lerro Rose, A., Wilk, A., Dombrosk, B., Greenfest-Allen, E., Robbins, F., White, H., Haut, J., Brettschneider, J., Cifello, J., Sha, J., Manuel, J., Bass, L., Qu, L., Carter, L., Kirsch, M., Moon, M. K., Saravanan, N., Kuksa, P., Ho, P.-C., Keskinen, P., Gangadharan, P., Tate, S., Iqbal, T., Chuang, S., Horng, W., Zhao, Y., Ren, Y., Jin, J., Katanic, Z., Frayabi, R. B., Li, M., Cranney, M., Arya, K., Huang, H., Thomopolous, S., Fornage, M., Sarnowski, C., St. George-Hyslop, P., Bis, J., Blue, L., Horimoto, A., Nafikov, R., Thornton, T., Wijsman, E., Temple, S., Day, T., Lin, E., Psaty, B., Bacikova, D., Dalgard, C., Fongang, B., Jian, X., Sargurupremraj, M., Satizabal, C., Seshadri, S., Zare, H., Bras, J., Guerreiro, R., Below, P., Dumitrescu, L., Hohman, T., Cruchaga, C., Dutcher, S., Fernandez, V., Neupane, A., Tzeng, J.-Y., Chou, S.-Y., Chesi, A. F. A., Grant, S. F. A., Alzheimer’s Disease Neuroimaging Initiative (ADNI), T. B. O. C. D. A. N. A. (. S. T., Zaras, D., Yang, Y., Durant, A., Kanakaraj, P., Kim, M. E., Gao, C., Newlin, N. R., Ramadass, K., Khairi, N. M., Li, Z., Yao, T., Choi, S.-E., Klinedinst, B., Lee, M. L., Scollard, P., Trittschuh, E. H., & Sanders, E. A.
- Affiliations
- Vanderbilt University (US)
- University of Washington (US)
- Boston University (US)
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, Tennessee
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
- National Institutes of Health (US)
- Rush University Medical Center (US)
- Department of Radiology, University of Pennsylvania, Philadelphia
- The University of Texas at San Antonio Health Science Center (US)
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey
- University of Wisconsin–Madison (US)
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
- University of Miami (US)
- and the Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium (ADSP-PHC) Analyst Team
- Corresponding author
- Archer, Derek B.
- ORCID
- Peter, Christopher
- Shashikumar, Niranjana
- Pechman, Kimberly R.
- Jackson, T. Bryan
- Huo, Yuankai
- Mukherjee, Shubhabrata
- Mez, Jesse
- Gifford, Katherine A.
- Bolton, Corey J.
- Gaynor, Leslie S.
- An, Yang
- Arfanakis, Konstantinos
- Habes, Mohamad
- Wang, Di
- Zhang, Panpan
- Schilling, Kurt G.
- Kukull, Walter
- Landman, Bennett A.
- Bendlin, Barbara B.
- Johnson, Sterling C.
- Schneider, Julie
- Bennett, David A.
- Jefferson, Angela L.
- Resnick, Susan M.
- Crane, Paul K.
- Cuccaro, Michael L.
- Archer, Derek B.
- Aisen, Paul
- Apostolova, Liana G.
- Ashford, Miriam
- Beckett, Laurel
- Bernard, Marie
- Chen, Kewei
- Crawford, Karen
- Das, Sandhitsu
- DeCarli, Charles
- Donohue, Michael
- Faber, Kelley
- Fockler, Juliet
- Fox, Nick C.
- Franklin, Erin
- Green, Robert C.
- Ho, Carole
- Jack, Clifford R.
- Jackson, Jonathan
- Jahanshad, Neda
- Kantarci, Kejal
- Knaack, Alexander
- Koeppe, Robert A.
- Landau, Susan
- Malone, Ian
- Masliah, Eliezer
- Morris, John C.
- Neuhaus, John
- Nho, Kwangsik
- Nir, Talia M.
- Nosheny, Rachel
- Nudelman, Kelly
- Okonkwo, Ozioma
- Rafii, Michael
- Raman, Rema
- Schwarz, Christopher
- Senjem, Matthew
- Shaw, Leslie M.
- Shen, Li
- Smith, Stephanie
- Thomopoulos, Sophia I.
- Trojanowski, John Q.
- Veitch, Dallas
- Vemuri, Prashanthi
- Walter, Sarah
- Weiner, Michael W.
- Yushkevich, Paul A.
- Soldan, Anja
- Pettigrew, Corinne
- Oishi, Kenichi
- Moghekar, Abhay
- Na, Chan-Hyun
- Worley, Paul
- Ervin, Ann
- Shade, David
- Jones, Jennifer
- Wang, Mei-Cheng
- Wang, Jiangxia
- Troncoso, Juan
- Nauen, David
- Haines, Jonathan
- Williams, Scott M
- Lerner, Alan J.
- Benchek, Penelope
- Song, Yeunjoo
- Gim, Jungsoo
- Ma, Yiyi
- Mayeux, Richard
- Vardarajan, Badri N.
- Jo, Taeho
- Byun, Min Soo
- Lee, Dong Young
- Yi, Dahyun
- McNeil, John
- Andrews, Shea
- Goate, Alison
- Humphrey, Jack
- Patel, Tulsi
- Raj, Towfique
- Renton, Alan
- Vialle, Ricardo
- Knowles, David
- Lakhani, Chirag
- Das, Anjali
- Lin, Teresa
- Greicius, Michael
- Kundaje, Anshul
- Montgomery, Stephen
- Beecham, Gary
- Kunkle, Brian
- Martin, Eden
- Mena, Pedro
- Rajabli, Farid
- Schmidt, Mike
- Vance, Jeffery
- Nuytemans, Karen
- Gilbert, John R.
- Smith, Jennifer
- Zhao, Wei
- Amin, Najaf
- Chou, Yi-Fan
- Kuzma, Amanda B.
- Lee, Wan-Ping
- Malamon, John
- Naj, Adam
- Wang, Li-San
- Valladares, Otto
- Haut, Jake
- Cifello, Jeffrey
- Qu, Liming
- Kuksa, Pavel
- Li, Mingyao
- Huang, Heng
- Fornage, Myriam
- Nafikov, Rafael
- Wijsman, Ellen
- Temple, Seth
- Lin, Eugene
- Psaty, Bruce
- Dalgard, Clifton
- Fongang, Bernard
- Jian, Xueqiu
- Sargurupremraj, Muralidharan
- Seshadri, Sudha
- Zare, Habil
- Guerreiro, Rita
- Cruchaga, Carlos
- Dutcher, Susan
- Neupane, Achal
- Tzeng, Jung-Ying
- Chou, Shin-Yi
- Chesi, Alessandra F.A.
- Grant, Struan F.A.
- Kanakaraj, Praitayini
- Kim, Michael E.
- Gao, Chenyu
- Newlin, Nancy R.
- Ramadass, Karthik
- Khairi, Nazirah Mohd
- Li, Zhiyuan
- Yao, Tianyuan
- Choi, Seo-Eun
- Klinedinst, Brandon
- Lee, Michael L.
- Scollard, Phoebe
- Trittschuh, Emily H.
- Sanders, Elizabeth A.
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2025-08-01
- Volume
- 82
- Issue
- 8
- Pages
- 825
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC12150229
- OpenAlex
- W4411149570
- Cited by
- 59
- References
- 50
- Citations by year
- 2026: 52 · 2025: 7
- FWCI
- 34.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- JAMA Neurology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- Funders
- National Institute on Aging (U19AG033655, R01AG056405, R01AG034962, R01AG080821, P01AG052350, P30AG066507, R01AG073439, P30AG072976, R01AG085571, P30AG066530, P30AG072947, P30AG072975, U01AG068057)
- National Institute of Biomedical Imaging and Bioengineering
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- white matter microstructure, cognitive decline, Alzheimer's disease, aging, free water, diffusion MRI, cingulum, fornix, memory, APOE ε4, amyloid, hippocampal volume, gray matter atrophy, mild cognitive impairment, dementia, white matter hyperintensities, longitudinal cognitive assessment
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Cohort Studies, Diffusion Magnetic Resonance Imaging, Positron-Emission Tomography, Cognitive Dysfunction, White Matter
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