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

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

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

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

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

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

Ryu, H., Habeck, C., Stern, Y., & Lee, S. (2023). Persistent homology‐based functional connectivity and its association with cognitive ability: Life‐span study. Human Brain Mapping, 44(9), 3669–3683. Portico. https://doi.org/10.1002/hbm.26304

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

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

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

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

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

Tsapanou, A., Mourtzi, N., Gu, Y., Habeck, C., Belsky, D., & Stern, Y. (2023). Polygenic indices for cognition in healthy aging; the role of brain measures. Neuroimage: Reports, 3(1), 100153. https://doi.org/10.1016/j.ynirp.2022.100153

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

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

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

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

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

Gaynor, A. M., Varangis, E., Song, S., Gazes, Y., Noofoory, D., Babukutty, R. S., Habeck, C., Stern, Y., & Gu, Y. (2022). Diet moderates the effect of resting state functional connectivity on cognitive function. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-20047-4

Song, S., Gaynor, A. M., Gazes, Y., Lee, S., Xu, Q., Habeck, C., Stern, Y., & Gu, Y. (2022). Physical activity moderates the association between white matter hyperintensity burden and cognitive change. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.945645

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

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

Song, S., Gaynor, A. M., Cruz, E., Lee, S., Gazes, Y., Habeck, C., Stern, Y., & Gu, Y. (2022). Mediterranean Diet and White Matter Hyperintensity Change over Time in Cognitively Intact Adults. Nutrients, 14(17), 3664. https://doi.org/10.3390/nu14173664

Zhu, X., Liu, Y., Habeck, C. G., Stern, Y., Lee, S., & for-the-Alzheimer’s-Disease-Neuroimaging-Initiative. (2022). Transfer learning for cognitive reserve quantification. NeuroImage, 258, 119353. https://doi.org/10.1016/j.neuroimage.2022.119353

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

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

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

Habeck, C., Gazes, Y., & Stern, Y. (2022). Age-Specific Activation Patterns and Inter-Subject Similarity During Verbal Working Memory Maintenance and Cognitive Reserve. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.852995

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Stern, Y. (2021). How Can Cognitive Reserve Promote Cognitive and Neurobehavioral Health? Archives of Clinical Neuropsychology, 36(7), 1291–1295. https://doi.org/10.1093/arclin/acab049

Stern, Y., Stallard, E., Kinosian, B., Zhu, C., Cosentino, S., Jin, Z., & Gu, Y. (2021). Validation and demonstration of a new comprehensive model of Alzheimer’s disease progression. Alzheimer’s & Dementia, 17(10), 1698–1708. Portico. https://doi.org/10.1002/alz.12336

Chapman, A., Chapman, S., & Cosentino, S. (2021). Bodies in the Novel Infinite Jest. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.539555

Kim, S. H., Farrell, K., Cosentino, S., Vonsattel, J.-P. G., Faust, P. L., Cortes, E. P., Bennet, D. A., Louis, E. D., & Crary, J. F. (2021). Tau Isoform Profile in Essential Tremor Diverges From Other Tauopathies. Journal of Neuropathology & Experimental Neurology, 80(9), 835–843. https://doi.org/10.1093/jnen/nlab073

Sunderaraman, P., Cosentino, S., Schupf, N., Manly, J., Gu, Y., & Barral, S. (2021). MEF2C Common Genetic Variation Is Associated With Different Aspects of Cognition in Non-Hispanic White and Caribbean Hispanic Non-demented Older Adults. Frontiers in Genetics, 12. https://doi.org/10.3389/fgene.2021.642327