Neurobiology of Aging

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Hojjati, S. H., Butler, T. A., de Leon, M., Gupta, A., Nayak, S., Luchsinger, J. A., Razlighi, Q. R., & Chiang, G. C. (2025). Inter-network functional connectivity increases by beta-amyloid and may facilitate the early stage of tau accumulation. Neurobiology of Aging, 148, 16–26. https://doi.org/10.1016/j.neurobiolaging.2025.01.005
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Blumen, H. M., Jayakody, O., Ayers, E., Barzilai, N., Habeck, C., Milman, S., Stern, Y., Weiss, E. F., & Verghese, J. (2024). Cognitive reserve proxies are associated with age-related cognitive decline – Not age-related gait speed decline. Neurobiology of Aging, 141, 46–54. https://doi.org/10.1016/j.neurobiolaging.2024.05.012
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Aleksic, S., Fleysher, R., Weiss, E. F., Tal, N., Darby, T., Blumen, H. M., Vazquez, J., Ye, K. Q., Gao, T., Siegel, S. M., Barzilai, N., Lipton, M. L., & Milman, S. (2024). Hypothalamic MRI-derived microstructure is associated with neurocognitive aging in humans. Neurobiology of Aging, 141, 102–112. https://doi.org/10.1016/j.neurobiolaging.2024.05.018
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Jiménez-Balado, J., Habeck, C., Stern, Y., & Eich, T. (2024). The relationship between cortical thickness and white matter hyperintensities in mid to late life. Neurobiology of Aging, 141, 129–139. https://doi.org/10.1016/j.neurobiolaging.2024.05.014
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Poole, V. N., Ridwan, A. R., Arfanakis, K., Dawe, R. J., Seyfried, N. T., De Jager, P. L., Schneider, J. A., Leurgans, S. E., Yu, L., & Bennett, D. A. (2024). Associations of brain morphology with cortical proteins of cognitive resilience. Neurobiology of Aging, 137, 1–7. https://doi.org/10.1016/j.neurobiolaging.2024.02.005
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Whitman, E. T., Ryan, C. P., Abraham, W. C., Addae, A., Corcoran, D. L., Elliott, M. L., Hogan, S., Ireland, D., Keenan, R., Knodt, A. R., Melzer, T. R., Poulton, R., Ramrakha, S., Sugden, K., Williams, B. S., Zhou, J., Hariri, A. R., Belsky, D. W., Moffitt, T. E., & Caspi, A. (2024). A blood biomarker of the pace of aging is associated with brain structure: replication across three cohorts. Neurobiology of Aging, 136, 23–33. https://doi.org/10.1016/j.neurobiolaging.2024.01.008
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Nuytemans, K., Rajabli, F., Jean-Francois, M., Kurup, J. T., Adams, L. D., Starks, T. D., Whitehead, P. L., Kunkle, B. W., Caban-Holt, A., Haines, J. L., Cuccaro, M. L., Vance, J. M., Byrd, G. S., Beecham, G. W., Reitz, C., & Pericak-Vance, M. A. (2024). Genetic analyses in multiplex families confirms chromosome 5q35 as a risk locus for Alzheimer’s Disease in individuals of African Ancestry. Neurobiology of Aging, 133, 125–133. https://doi.org/10.1016/j.neurobiolaging.2023.10.010
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Simon, S. S., Varangis, E., Lee, S., Gu, Y., Gazes, Y., Razlighi, Q. R., Habeck, C., & Stern, Y. (2024). In vivo tau is associated with change in memory and processing speed, but not reasoning, in cognitively unimpaired older adults. Neurobiology of Aging, 133, 28–38. https://doi.org/10.1016/j.neurobiolaging.2023.10.001
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Morris, E. P., Turney, I. C., Palms, J. D., Zaheed, A. B., Sol, K., Amarante, E., Beato, J., Chesebro, A. G., Morales, C. D., Manly, J. J., Brickman, A. M., & Zahodne, L. B. (2023). Racial and ethnic differences in the relationship between financial worry and white matter hyperintensities in Latinx, non-Latinx Black, and non-Latinx White older adults. Neurobiology of Aging, 129, 149–156. https://doi.org/10.1016/j.neurobiolaging.2023.05.008
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Seto, M., Dumitrescu, L., Mahoney, E. R., Sclafani, A. M., De Jager, P. L., Menon, V., Koran, M. E. I., Robinson, R. A., Ruderfer, D. M., Cox, N. J., Seyfried, N. T., Jefferson, A. L., Schneider, J. A., Bennett, D. A., Petyuk, V. A., & Hohman, T. J. (2023). Multi-omic characterization of brain changes in the vascular endothelial growth factor family during aging and Alzheimer’s disease. Neurobiology of Aging, 126, 25–33. https://doi.org/10.1016/j.neurobiolaging.2023.01.010
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Song, Z., Gurinovich, A., Nygaard, M., Mengel-From, J., Andersen, S., Cosentino, S., Schupf, N., Lee, J., Zmuda, J., Ukraintseva, S., Arbeev, K., Christensen, K., Perls, T., & Sebastiani, P. (2023). Rare genetic variants correlate with better processing speed. Neurobiology of Aging, 125, 115–122. https://doi.org/10.1016/j.neurobiolaging.2022.11.018
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Stern, Y., Albert, M., Barnes, C. A., Cabeza, R., Pascual-Leone, A., & Rapp, P. R. (2023). A framework for concepts of reserve and resilience in aging. Neurobiology of Aging, 124, 100–103. https://doi.org/10.1016/j.neurobiolaging.2022.10.015
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Dueker, N., Wang, L., Gardener, H., Gomez, L., Kaur, S., Beecham, A., Blanton, S. H., Dong, C., Gutierrez, J., Cheung, Y. K., Moon, Y. P., Levin, B., Wright, C. B., Elkind, M. S. V., Sacco, R. L., & Rundek, T. (2023). Genome-wide association study of executive function in a multi-ethnic cohort implicates LINC01362: Results from the northern Manhattan study. Neurobiology of Aging, 123, 216–221. https://doi.org/10.1016/j.neurobiolaging.2022.11.016
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Song, H., Bharadwaj, P. K., Raichlen, D. A., Habeck, C. G., Huentelman, M. J., Hishaw, G. A., Trouard, T. P., & Alexander, G. E. (2023). Association of homocysteine-related subcortical brain atrophy with white matter lesion volume and cognition in healthy aging. Neurobiology of Aging, 121, 129–138. https://doi.org/10.1016/j.neurobiolaging.2022.10.011
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Hu, J., Waters, C. H., Spiegelman, D., Fon, E. A., Yu, E., Asayesh, F., Krohn, L., Saini, P., Alcalay, R. N., Hassin-Baer, S., Gan-Or, Z., Krainc, D., Zhang, B., Bustos, B. I., & Lubbe, S. J. (2022). Gene-based burden analysis of damaging private variants in PRKN, PARK7 and PINK1 in Parkinson’s disease cohorts of European descent. Neurobiology of Aging, 119, 136–138. https://doi.org/10.1016/j.neurobiolaging.2022.07.012
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Calcetas, A. T., Thomas, K. R., Edmonds, E. C., Holmqvist, S. L., Edwards, L., Bordyug, M., Delano-Wood, L., Brickman, A. M., Bondi, M. W., Bangen, K. J., & for the Alzheimer’s Disease Neuroimaging Initiative. (2022). Increased regional white matter hyperintensity volume in objectively-defined subtle cognitive decline and mild cognitive impairment. Neurobiology of Aging, 118, 1–8. https://doi.org/10.1016/j.neurobiolaging.2022.06.002
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Seto, M., Weiner, R. L., Dumitrescu, L., Mahoney, E. R., Hansen, S. L., Janve, V., Khan, O. A., Liu, D., Wang, Y., Menon, V., De Jager, P. L., Schneider, J. A., Bennett, D. A., Gifford, K. A., Jefferson, A. L., & Hohman, T. J. (2022). RNASE6 is a novel modifier of APOE-ε4 effects on cognition. Neurobiology of Aging, 118, 66–76. https://doi.org/10.1016/j.neurobiolaging.2022.06.011
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Lao, P. J., Boehme, A. K., Morales, C., Laing, K. K., Chesebro, A., Igwe, K. C., Gutierrez, J., Gu, Y., Stern, Y., Schupf, N., Manly, J. J., Mayeux, R., & Brickman, A. M. (2022). Amyloid, cerebrovascular disease, and neurodegeneration biomarkers are associated with cognitive trajectories in a racially and ethnically diverse, community-based sample. Neurobiology of Aging, 117, 83–96. https://doi.org/10.1016/j.neurobiolaging.2022.05.004
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Hokett, E., Mirjalili, S., & Duarte, A. (2022). Greater sleep variance related to decrements in memory performance and event-specific neural similarity: a racially/ethnically diverse lifespan sample. Neurobiology of Aging, 117, 33–43. https://doi.org/10.1016/j.neurobiolaging.2022.04.015
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Guisle, I., Canet, G., Pétry, S., Fereydouni-Forouzandeh, P., Morin, F., Kérauden, R., Whittington, R. A., Calon, F., Hébert, S. S., & Planel, E. (2022). Sauna-like conditions or menthol treatment reduce tau phosphorylation through mild hyperthermia. Neurobiology of Aging, 113, 118–130. https://doi.org/10.1016/j.neurobiolaging.2022.02.011
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