Displaying 51 - 91 of 91CSV
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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Michael R, K., Peter J, Z., Sandra J, R., Stephanie, C., & Martina, A. (2023). Virtual Assessment as a Way to Reduce Help-Seeking Barriers in Older Adults with Subjective Cognitive Decline. Journal of Geriatric Medicine and Gerontology, 9(2). https://doi.org/10.23937/2469-5858/1510146
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Kim, H., Zhu, X., Zhao, Y., Bell, S. A., Cohen, D. E., Lee, S., & Goldberg, T. E. (2023). Resting‐State Connectivity Changes in Older Adults with Sleep Disturbance. Alzheimer’s & Dementia, 19(S8). Portico. https://doi.org/10.1002/alz.062749
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Tahami Monfared, A. A., Stern, Y., Doogan, S., Irizarry, M., & Zhang, Q. (2023). Understanding Barriers Along the Patient Journey in Alzheimer’s Disease Using Social Media Data. Neurology and Therapy, 12(3), 899–918. https://doi.org/10.1007/s40120-023-00472-x
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Eich, T. S., Langfield, C., Sakhardande, J., Gazes, Y., Habeck, C., & Stern, Y. (2023). Older adults compensate for switch, but not mixing costs, relative to younger adults on an intrinsically cued task switching experiment. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1152582
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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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Chapman, S., Rentería, M. A., Dworkin, J. D., Garriga, S. M., Barker, M. S., Avila-Rieger, J., Gonzalez, C., Joyce, J. L., Vonk, J. M. J., Soto, E., Manly, J. J., Brickman, A. M., Mayeux, R. P., & Cosentino, S. A. (2023). Association of Subjective Cognitive Decline With Progression to Dementia in a Cognitively Unimpaired Multiracial Community Sample. Neurology, 100(10). https://doi.org/10.1212/wnl.0000000000201658
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Boyle, R., Connaughton, M., McGlinchey, E., Knight, S. P., De Looze, C., Carey, D., Stern, Y., Robertson, I. H., Kenny, R. A., & Whelan, R. (2022). Connectome‐based predictive modelling of cognitive reserve using task‐based functional connectivity. European Journal of Neuroscience, 57(3), 490–510. Portico. https://doi.org/10.1111/ejn.15896
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Argiris, G., Stern, Y., & Habeck, C. (2022). Neural similarity across task load relates to cognitive reserve and brain maintenance measures on the Letter Sternberg task: a longitudinal study. Brain Imaging and Behavior, 17(1), 100–113. https://doi.org/10.1007/s11682-022-00746-2
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Contador, I., Alzola, P., Stern, Y., de la Torre-Luque, A., Bermejo-Pareja, F., & Fernández-Calvo, B. (2023). Is cognitive reserve associated with the prevention of cognitive decline after stroke? A Systematic review and meta-analysis. Ageing Research Reviews, 84, 101814. https://doi.org/10.1016/j.arr.2022.101814
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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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Hod, E. A., Brittenham, G. M., Bitan, Z. C., Feit, Y., Gaelen, J. I., La Carpia, F., Sandoval, L. A., Zhou, A. T., Soffing, M., Mintz, A., Schwartz, J., Eng, C., Scotto, M., Caccappolo, E., Habeck, C., Stern, Y., McMahon, D. J., Kessler, D. A., Shaz, B. H., … Spitalnik, S. L. (2022). A randomized trial of blood donor iron repletion on red cell quality for transfusion and donor cognition and well-being. Blood, 140(25), 2730–2739. https://doi.org/10.1182/blood.2022017288
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Schneider, L. S., Bennett, D. A., Farlow, M. R., Peskind, E. R., Raskind, M. A., Sano, M., Stern, Y., Haneline, S., Welsh-Bohmer, K. A., O’Neil, J., Walter, R., Maresca, S., Culp, M., Alexander, R., Saunders, A. M., Burns, D. K., & Chiang, C. (2022). Adjudicating Mild Cognitive Impairment Due to Alzheimer’s Disease as a Novel Endpoint Event in the TOMMORROW Prevention Clinical Trial. The Journal of Prevention of Alzheimer’s Disease. https://doi.org/10.14283/jpad.2022.72
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Droby, A., Varangis, E., Habeck, C., Hausdorff, J. M., Stern, Y., Mirelman, A., & Maidan, I. (2022). Effects of aging on cognitive and brain inter-network integration patterns underlying usual and dual-task gait performance. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.956744
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Steffener, J., Habeck, C., Franklin, D., Lau, M., Yakoub, Y., & Gad, M. (2022). Subjective difficulty in a verbal recognition-based memory task: Exploring brain-behaviour relationships at the individual level in healthy young adults. NeuroImage, 257, 119301. https://doi.org/10.1016/j.neuroimage.2022.119301
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Tahami Monfared, A. A., Stern, Y., Doogan, S., Irizarry, M., & Zhang, Q. (2022). Stakeholder Insights in Alzheimer’s Disease: Natural Language Processing of Social Media Conversations. Journal of Alzheimer’s Disease, 89(2), 695–708. https://doi.org/10.3233/jad-220422
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Oh, H. (2022). Extraversion Is Associated With Lower Brain Beta-Amyloid Deposition in Cognitively Normal Older Adults. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.900581
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Cosentino, S., & Shih, L. C. (2022). Does essential tremor increase risk of cognitive impairment and dementia? Yes. Essential Tremor: Current Concepts and Controversies, 195–231. https://doi.org/10.1016/bs.irn.2022.02.011
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Yamane, N., Snow, A. D., Fein, D., Naigles, L., & Goldman, S. (2022). Brief report: Parent-guided movements during play with children with autism spectrum disorder. Research in Autism Spectrum Disorders, 94, 101968. https://doi.org/10.1016/j.rasd.2022.101968
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Sunderaraman, P., Lee, S., Varangis, E., Habeck, C., Chapman, S., Joyce, J. L., Hartstone, W., Brickman, A. M., Stern, Y., & Cosentino, S. (2021). Self-awareness for financial decision making abilities is linked to right temporal cortical thickness in older adults. Brain Imaging and Behavior, 16(3), 1139–1147. https://doi.org/10.1007/s11682-021-00590-w
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Tsiakiri, A., Koutzmpi, V., Megagianni, S., Toumaian, M., Geronikola, N., Despoti, A., Kanellopoulou, S., Arampatzi, X., Margioti, E., Davila, A., Zoi, P., Kalligerou, F., Liozidou, A., Tsapanou, A., & Sakka, P. (2022). Remote neuropsychological evaluation of older adults. Applied Neuropsychology: Adult, 31(5), 796–803. https://doi.org/10.1080/23279095.2022.2074850
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Libon, D. J., Swenson, R., Lamar, M., Price, C. C., Baliga, G., Pascual-Leone, A., Au, R., Cosentino, S., & Andersen, S. L. (2022). The Boston Process Approach and Digital Neuropsychological Assessment: Past Research and Future Directions. Journal of Alzheimer’s Disease, 87(4), 1419–1432. https://doi.org/10.3233/jad-220096
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Chapman, S., Joyce, J. L., Barker, M. S., Sunderaraman, P., Rizer, S., Huey, E. D., Dworkin, J., Gu, Y., & Cosentino, S. (2022). Subjective Cognitive Decline Is More Accurate When Metamemory Is Better. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.787552
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Armstrong, N. M., Tom, S. E., Harrati, A., Casaletto, K., Pa, J., Arce Rentería, M., Gu, Y., Rajan, K. B., Schupf, N., Fieo, R., Weuve, J., Simonsick, E. M., Manly, J. J., Stern, Y., & Zahodne, L. B. (2021). Longitudinal Relationship of Leisure Activity Engagement With Cognitive Performance Among Non-Demented, Community-Dwelling Older Adults. The Gerontologist, 62(3), 352–363. https://doi.org/10.1093/geront/gnab046
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Sunderaraman, P., Gazes, Y., Ortiz, G., Langfield, C., Mensing, A., Chapman, S., Joyce, J. L., Brickman, A. M., Stern, Y., & Cosentino, S. (2022). Financial decision‐making and self‐awareness for financial decision‐making is associated with white matter integrity in older adults. Human Brain Mapping, 43(5), 1630–1639. Portico. https://doi.org/10.1002/hbm.25747
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Jansen, W. J., Janssen, O., Tijms, B. M., Vos, S. J. B., Ossenkoppele, R., Visser, P. J., Aarsland, D., Alcolea, D., Altomare, D., von Arnim, C., Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R. J., Van Berckel, B., Binette, A. P., Blennow, K., Boada, M., … Zetterberg, H. (2022). Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum. JAMA Neurology, 79(3), 228. https://doi.org/10.1001/jamaneurol.2021.5216
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Fox-Fuller, J. T., Rizer, S., Andersen, S. L., & Sunderaraman, P. (2021). Survey Findings About the Experiences, Challenges, and Practical Advice/Solutions Regarding Teleneuropsychological Assessment in Adults. Archives of Clinical Neuropsychology, 37(2), 274–291. https://doi.org/10.1093/arclin/acab076
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Tsapanou, A., Mourtzi, N., Charisis, S., Hatzimanolis, A., Ntanasi, E., Kosmidis, M. H., Yannakoulia, M., Hadjigeorgiou, G., Dardiotis, E., Sakka, P., Stern, Y., & Scarmeas, N. (2021). Sleep Polygenic Risk Score Is Associated with Cognitive Changes over Time. Genes, 13(1), 63. https://doi.org/10.3390/genes13010063
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Ezzati, A., Davatzikos, C., Wolk, D. A., Hall, C. B., Habeck, C., & Lipton, R. B. (2022). Application of predictive models in boosting power of Alzheimer’s disease clinical trials: A post hoc analysis of phase 3 solanezumab trials. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 8(1). Portico. https://doi.org/10.1002/trc2.12223
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Latgé-Tovar, S., Bertrand, E., Cosentino, S., Dourado, M. C. N., Laks, J., Landeira-Fernandez, J., Morris, R. G., & Mograbi, D. C. (2022). Self- and Other-Evaluation in Alzheimer’s Disease. Journal of Alzheimer’s Disease, 90(1), 283–294. https://doi.org/10.3233/jad-220453
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Nicastri, C. M., McFeeley, B. M., Simon, S. S., Ledreux, A., Håkansson, K., Granholm, A., Mohammed, A. H., & Daffner, K. R. (2022). BDNF mediates improvement in cognitive performance after computerized cognitive training in healthy older adults. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 8(1). Portico. https://doi.org/10.1002/trc2.12337
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Boyle, R., Knight, S. P., De Looze, C., Carey, D., Scarlett, S., Stern, Y., Robertson, I. H., Kenny, R. A., & Whelan, R. (2021). Verbal intelligence is a more robust cross-sectional measure of cognitive reserve than level of education in healthy older adults. Alzheimer’s Research & Therapy, 13(1). https://doi.org/10.1186/s13195-021-00870-z
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Sabates, J., Belleville, S., Castellani, M., Dwolatzky, T., Hampstead, B. M., Lampit, A., Simon, S., Anstey, K., Goodenough, B., Mancuso, S., Marques, D., Sinnott, R., & Bahar-Fuchs, A. (2021). CogTale: an online platform for the evaluation, synthesis, and dissemination of evidence from cognitive interventions studies. Systematic Reviews, 10(1). https://doi.org/10.1186/s13643-021-01787-2
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Maidan, I., Mirelman, A., Hausdorff, J. M., Stern, Y., & Habeck, C. G. (2021). Distinct cortical thickness patterns link disparate cerebral cortex regions to select mobility domains. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-85058-z
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