Displaying 1 - 50 of 87CSV
Coors, A., Boenniger, M. M., Santos, M. L. S., Lohner, V., Koch, A., Ettinger, U., Aziz, N. A., & Breteler, M. M. B. (2025). Associations of Plasma Neurofilament Light Levels With Brain Microstructure and Macrostructure and Cognition in the Community-Based Rhineland Study. Neurology, 104(6). https://doi.org/10.1212/wnl.0000000000210278
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Bairami, S., Scarmeas, N., Yannakoulia, M., Dardiotis, E., Sakka, P., Hadjigeorgiou, G., Tsapanou, A., & Kosmidis, M. H. (2025). Can Sleep Predict Conversion to Mild Cognitive Impairment and Dementia? Results From the Hellenic Longitudinal Investigation of Aging and Diet Study. Alzheimer Disease & Associated Disorders. https://doi.org/10.1097/wad.0000000000000661
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Simani, L., Tozlu, C., Lee, S., Dworkin, J., Ratzan, A. S., Buyukturkoglu, K., Onomichi, K., Mata, J., Riley, C. S., & Leavitt, V. M. (2025). Longitudinal investigation of neuroimaging changes related to memory decline in multiple sclerosis: Testing a mechanistic model. Multiple Sclerosis Journal, 31(2), 207–217. https://doi.org/10.1177/13524585241303491
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von Fingerhut, G., Makino, K., Katayama, O., Yamaguchi, R., Yamagiwa, D., Bone, J. K., & Shimada, H. (2024). Associations between Japanese calligraphy practice and sleep quality in community-dwelling older adults: A cross-sectional Study. Sleep Medicine: X, 8, 100124. https://doi.org/10.1016/j.sleepx.2024.100124
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Habeck, C. G., & Stern, Y. (2024). Regional amyloid shows associations with task‐related fMRI activation recorded 5 years earlier. Alzheimer’s & Dementia, 20(S8). Portico. https://doi.org/10.1002/alz.094698
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Motter, J. N., Lee, S., Knopman, D. S., Vassilaki, M., & Devanand, D. (2024). Accuracy of intact performance on measures of odor identification, global cognition, and amyloid imaging for identifying lack of cognitive decline and dementia in the Mayo Clinic Study of Aging cohort. Alzheimer’s & Dementia, 20(S3). Portico. https://doi.org/10.1002/alz.088601
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Vockert, N., Machts, J., Kleineidam, L., Nemali, A., Incesoy, E. I., Bernal, J., Schütze, H., Yakupov, R., Peters, O., Gref, D., Schneider, L. S., Preis, L., Priller, J., Spruth, E. J., Altenstein, S., Schneider, A., Fliessbach, K., Wiltfang, J., … Rostamzadeh, A. (2024). Cognitive reserve against Alzheimer’s pathology is linked to brain activity during memory formation. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-53360-9
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Kever, A., Heuer, L. B., Simani, L., & Leavitt, V. M. (2024). Development and initial validation of the Cognitive Change Scale (CCS). Multiple Sclerosis Journal, 30(14), 1815–1824. https://doi.org/10.1177/13524585241290102
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Kelly, C., Trumpff, C., Acosta, C., Assuras, S., Baker, J., Basarrate, S., Behnke, A., Bo, K., Bobba-Alves, N., Champagne, F. A., Conklin, Q., Cross, M., De Jager, P., Engelstad, K., Epel, E., Franklin, S. G., Hirano, M., Huang, Q., Junker, A., … Picard, M. (2024). A platform to map the mind–mitochondria connection and the hallmarks of psychobiology: the MiSBIE study. Trends in Endocrinology & Metabolism, 35(10), 884–901. https://doi.org/10.1016/j.tem.2024.08.006
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Savin, M. J., Wang, H., Pei, H., Aiello, A. E., Assuras, S., Caspi, A., Moffitt, T. E., Muenning, P. A., Ryan, C. P., Shi, B., Stern, Y., Sugden, K., Valeri, L., & Belsky, D. W. (2024). Association of a pace of aging epigenetic clock with rate of cognitive decline in the Framingham Heart Study Offspring Cohort. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 16(4). Portico. https://doi.org/10.1002/dad2.70038
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Hasanzadeh, F., Mohebbi, M., & Rostami, R. (2024). Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients. Biomedical Signal Processing and Control, 96, 106613. https://doi.org/10.1016/j.bspc.2024.106613
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Kim, Y., Stern, Y., Seo, S. W., Na, D. L., Jang, J., & Jang, H. (2024). Factors associated with cognitive reserve according to education level. Alzheimer’s & Dementia, 20(11), 7686–7697. Portico. https://doi.org/10.1002/alz.14236
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Tsiakiri, A., Ioannidis, P., Vlotinou, P., Kokkotis, C., Megagianni, S., Toumaian, M., Terzoudi, K., Koutzmpi, V., Despoti, A., Megari, K., Liozidou, A., Kyriazidoy, S., Vadikolias, K., & Tsapanou, A. (2024). The Role of a Computerized Cognitive Intervention Program on the Neuropsychiatric Symptoms in Mild Cognitive Impairment. Aging Medicine and Healthcare, 15(3), 122–128. https://doi.org/10.33879/amh.153.2023.01005
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Song, H., Bharadwaj, P. K., Raichlen, D. A., Habeck, C. G., Grilli, M. D., Huentelman, M. J., Hishaw, G. A., Trouard, T. P., & Alexander, G. E. (2024). Cortical lobar volume reductions associated with homocysteine-related subcortical brain atrophy and poorer cognition in healthy aging. Frontiers in Aging Neuroscience, 16. https://doi.org/10.3389/fnagi.2024.1406394
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Simani, L., Molaeipour, L., Kian, S., & Leavitt, V. M. (2024). Correlation between cognitive changes and neuroradiological changes over time in multiple sclerosis: a systematic review and meta-analysis. Journal of Neurology, 271(8), 5498–5518. https://doi.org/10.1007/s00415-024-12517-8
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Despoti, A., Megari, K., Tsiakiri, A., Toumaian, M., Koutzmpi, V., Liozidou, A., & Tsapanou, A. (2024). Effectiveness of remote neuropsychological interventions: A systematic review. Applied Neuropsychology: Adult, 1–9. https://doi.org/10.1080/23279095.2024.2382814
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Libon, D. J., Swenson, R., Price, C. C., Lamar, M., Cosentino, S., Bezdicek, O., Kling, M. A., Tobyne, S., Jannati, A., Banks, R., & Pascual-Leone, A. (2024). Digital assessment of cognition in neurodegenerative disease: a data driven approach leveraging artificial intelligence. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1415629
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Raichlen, D. A., Ally, M., Aslan, D. H., Sayre, M. K., Bharadwaj, P. K., Maltagliati, S., Lai, M. H. C., Wilcox, R. R., Habeck, C. G., Klimentidis, Y. C., & Alexander, G. E. (2024). Associations between accelerometer‐derived sedentary behavior and physical activity with white matter hyperintensities in middle‐aged to older adults. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 16(3). Portico. https://doi.org/10.1002/dad2.70001
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Leavitt, V. M., Dworkin, J. D., Kalina, T., & Ratzan, A. S. (2024). Sex differences in brain resilience of individuals with multiple sclerosis. Multiple Sclerosis and Related Disorders, 87, 105646. https://doi.org/10.1016/j.msard.2024.105646
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Edwin, T. H., Håberg, A. K., Zotcheva, E., Bratsberg, B., Jugessur, A., Engdahl, B., Bowen, C., Selbæk, G., Kohler, H.-P., Harris, J. R., Tom, S. E., Krokstad, S., Mekonnen, T., Stern, Y., Skirbekk, V. F., & Strand, B. H. (2024). Trajectories of Occupational Cognitive Demands and Risk of Mild Cognitive Impairment and Dementia in Later Life. Neurology, 102(9). https://doi.org/10.1212/wnl.0000000000209353
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Gaynor, A. M., Ahsan, A., Jung, D., Schofield, E., Li, Y., Ryan, E., Ahles, T. A., & Root, J. C. (2022). Novel computerized neurocognitive test battery is sensitive to cancer-related cognitive deficits in survivors. Journal of Cancer Survivorship, 18(2), 466–478. https://doi.org/10.1007/s11764-022-01232-w
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Parra, M. A., Gazes, Y., Habeck, C., & Stern, Y. (2024). Exploring the Association between Amyloid-β and Memory Markers for Alzheimer’s Disease in Cognitively Unimpaired Older Adults. The Journal of Prevention of Alzheimer’s Disease. https://doi.org/10.14283/jpad.2024.11
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Leavitt, V. M., Tozlu, C., Nelson, K. E., Boehme, A. K., Donnelly, J. E., Aguerre, I., Spinner, M., Riley, C. S., Stein, J., & Onomichi, K. (2024). A randomized controlled trial of oral antipyretic treatment to reduce overheating during exercise in adults with multiple sclerosis. Journal of Neurology, 271(5), 2207–2215. https://doi.org/10.1007/s00415-023-12147-6
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Tsapanou, A., Ghanem, A., Chapman, S., Stern, Y., Huey, E. D., Cosentino, S., & Louis, E. D. (2024). Sleep problems as predictors of cognitive decline in essential tremor: A prospective longitudinal cohort study. Sleep Medicine, 116, 13–18. https://doi.org/10.1016/j.sleep.2024.02.016
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Patel, R., Cosentino, S., Zheng, E. Z., Schupf, N., Barral, S., Feitosa, M., Andersen, S. L., Sebastiani, P., Ukraintseva, S., Christensen, K., Zmuda, J., Thyagarajan, B., & Gu, Y. (2024). Systemic inflammation in relation to exceptional memory in the Long Life Family Study (LLFS). Brain, Behavior, & Immunity - Health, 37, 100746. https://doi.org/10.1016/j.bbih.2024.100746
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Xicota, L., Cheng, R., Barral, S., Honig, L. S., Schupf, N., Gu, Y., Cosentino, S., Zmuda, J. M., Perls, T. T., Christensen, K., Province, M. A., & Lee, J. H. (2023). Examination of Genetic Risk Factors for Alzheimer’s Disease in a Cohort of Familial Longevity: the Long Life Family Study. Alzheimer’s & Dementia, 19(S24). Portico. https://doi.org/10.1002/alz.082363
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Javitt, D. C., Martinez, A., Sehatpour, P., Beloborodova, A., Habeck, C., Gazes, Y., Bermudez, D., Razlighi, Q. R., Devanand, D. P., & Stern, Y. (2023). Disruption of early visual processing in amyloid-positive healthy individuals and mild cognitive impairment. Alzheimer’s Research & Therapy, 15(1). https://doi.org/10.1186/s13195-023-01189-7
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Libon, D. J., Matusz, E. F., Cosentino, S., Price, C. C., Swenson, R., Vermeulen, M., Ginsberg, T. B., Okoli-Umeweni, A. O., Powell, L., Nagele, R., Tobyne, S., Gomes-Osman, J. R., & Pascual-Leone, A. (2023). Using digital assessment technology to detect neuropsychological problems in primary care settings. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1280593
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Tatiana-Danai, D., A, T., N, M., M, H., V, K., N, T. ., A, Z., M, K., C., T., P, T., & J, P. (2023). Depressive symptoms associated with brain morphometry in Mild Cognitive Impairment stage due to Alzheimer’s and Parkinson’s disease. International Journal of Medical Science and Clinical Invention, 10(10), 6932–6944. https://doi.org/10.18535/ijmsci/v10i10.05
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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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Simon, S. S., Brucki, S. M. D., Fonseca, L. M., Becker, J., Cappi, C., Marques, A. H., Heyn, P. C., Gonçalves, P. D., Martins, S. S., Busatto, G., Bertola, L., Suemoto, C. K., Nitrini, R., Caramelli, P., Yassuda, M. S., Miotto, E. C., Grinberg, L. T., Arce Renteria, M., Alegria, M., … Rivera‐Mindt, M. (2023). The (in)visible Brazilians: A perspective review on the need for brain health and dementia research with Brazilian immigrants in the United States. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 9(3). Portico. https://doi.org/10.1002/trc2.12425
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Kann, M. R., Zeiger, P. J., Rizer, S. J., Cosentino, S., & Azar, M. (2023). Virtual Assessment as a Way to Reduce Help-seeking Barriers in Older Adults With Subjective Cognitive Decline. Alzheimer Disease & Associated Disorders, 37(4), 373–378. https://doi.org/10.1097/wad.0000000000000582
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Marquine, M. J., Parks, A., Perales‐Puchalt, J., González, D. A., Rosado‐Bruno, M., North, R., Pieper, C., Werry, A. E., Kiselica, A., Chapman, S., Dodge, H., Gauthreaux, K., Kukull, W. A., & Rascovsky, K. (2023). Demographically‐adjusted normative data among Latinos for the version 3 of the Alzheimer’s Disease Centers’ Neuropsychological Test Battery in the Uniform Data Set. Alzheimer’s & Dementia, 19(9), 4174–4186. Portico. https://doi.org/10.1002/alz.13313
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Stallard, E., Kociolek, A., Jin, Z., Ryu, H., Lee, S., Cosentino, S., Zhu, C., Gu, Y., Fernandez, K., Hernandez, M., Kinosian, B., & Stern, Y. (2023). Validation of a Multivariate Prediction Model of the Clinical Progression of Alzheimer’s Disease in a Community-Dwelling Multiethnic Cohort. Journal of Alzheimer’s Disease, 95(1), 93–117. https://doi.org/10.3233/jad-220811
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Gazes, Y., Lee, S., Fang, Z., Mensing, A., Noofoory, D., Hidalgo Nazario, G., Babukutty, R., Chen, B. B., Habeck, C., & Stern, Y. (2023). Effects of Brain Maintenance and Cognitive Reserve on Age-Related Decline in Three Cognitive Abilities. The Journals of Gerontology: Series B, 78(8), 1284–1293. https://doi.org/10.1093/geronb/gbad044
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McGurn, M., Dworkin, J. D., Chapman, S., Huey, E. D., Cosentino, S., & Louis, E. D. (2022). Can the Montreal Cognitive Assessment and Mini-Mental State Examination detect cognitive decline in elderly patients with essential tremor? The Clinical Neuropsychologist, 37(6), 1173–1190. https://doi.org/10.1080/13854046.2022.2090442
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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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Root, J. C., Gaynor, A. M., Ahsan, A., Jung, D., Schofield, E., Ryan, E., Li, Y., & Ahles, T. A. (2023). Remote, Computerised Cognitive Assessment for Breast Cancer- and Treatment-Related Cognitive Dysfunction: Psychometric Characteristics of the Cogsuite Neurocognitive Battery. Archives of Clinical Neuropsychology, 38(5), 699–713. https://doi.org/10.1093/arclin/acac111
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Sanz Simon, S., Lee, S., Gu, Y., Mensing, A., Noofoory, D., Hidalgo Nazario, G. M., Babukutty, R. S., & Stern, Y. (2022). Leisure activity engagement across adulthood predicts cognitive change after five years: Do gender and age matter? Journal of the International Neuropsychological Society, 29(6), 529–540. https://doi.org/10.1017/s1355617722000510
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Sunderaraman, P., Irani, F., Krishnan, K., & Hundal, J. S. (2021). A narrative review of the biopsychosocial and health characteristics of Asian Indians in the United States: Clinical and research implications for neuropsychological functioning. The Clinical Neuropsychologist, 37(5), 911–929. https://doi.org/10.1080/13854046.2021.1987524
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