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• Original Research

  • ·The Effects of Subjective Cognitive Decline on APOE Genotype Disclosure in the Butler Hospital Alzheimer’s Prevention Registry

    Page :152-161

    Athene K.W. Lee, M.K. Collier, L.I. Thompson, D. Popescu, E. Arthur, S. Correia, S.P. Salloway, J. Alber

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  • ·Medical Journey of Patients with Mild Cognitive Impairment and Mild Alzheimer’s Disease Dementia: A Cross-sectional Survey of Patients, Care Partners, and Neurologists

    Page :162-170

    Jeremy J. Pruzin, S. Brunton, S. Alford, C. Hamersky, A. Sabharwal, G. Gopalakrishna

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  • ·Investigating Partially Discordant Results in Phase 3 Studies of Aducanumab

    Page :171-177

    C. Mallinckrodt, Y. Tian, P.S. Aisen, F. Barkhof, S. Cohen, G. Dent, O. Hansson, K. Harrison, T. Iwatsubo, C.J. Mummery, K.K. Muralidharan, I. Nestorov, L. Nisenbaum, R. Rajagovindan, C. von Hehn, C.H. van Dyck, B. Vellas, S. Wu, Y. Zhu, A. Sandrock, T. Chen, Samantha Budd Haeberlein

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  • ·Predictive Utility of Plasma Amyloid and Tau for Cognitive Decline in Cognitively Normal Adults

    Page :178-185

    Y.-J. Lee, S.-Y. Lin, S.-W. Peng, Y.-C. Lin, T.-B. Chen, P.-N. Wang, I.H. Cheng

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  • ·Fructose Consumption is Associated with a Higher Risk of Dementia and Alzheimer’s Disease: A Prospective Cohort Study

    Page :186-192

    J. Yan, K. Zheng, X. Zhang, Yingsong Jiang

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  • ·A Large Retrospective Cohort Study on the Risk of Alzheimer’s Disease and Related Dementias in Association with Vascular Diseases and Cancer Therapy in Men with Prostate Cancer

    Page :193-206

    Xianglin L. Du, L. Song

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  • ·The Geras Solutions Cognitive Test for Assessing Cognitive Impairment: Normative Data from a Population-Based Cohort

    Page :207-211

    Victor Bloniecki, J. Ulfvarson, K. Javanshiri, G. Hagman, Y. Freund-Levi, A. Nordströmg

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  • ·Longitudinal Exposure—Response Modeling of Multiple Indicators of Alzheimer’s Disease Progression

    Page :212-222

    D.G. Polhamus, Michael J. Dolton, J.A. Rogers, L. Honigberg, J.Y. Jin, A. Quartino, Alzheimer’s Disease Neuroimaging Initiative (ADNI)

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  • ·Utility of Environmental Complexity as a Predictor of Alzheimer’s Disease Diagnosis: A Big-Data Machine Learning Approach

    Page :223-235

    M. Yuan, Kristen M. Kennedy

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  • ·Validity of Normative Volumetric Estimates from Open Access Software in Amnestic Mild Cognitive Impairment

    Page :236-243

    S. Fountain-Zaragoza, O. Horn, K.E. Thorn, A.Z. Kraal, Andreana Benitez

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  • ·Medical and Psychiatric Risk Factors for Dementia in Veterans with and without Traumatic Brain Injury (TBI): A Nationwide Cohort Study

    Page :244-250

    Raquel C. Gardner, D.E. Barnes, Y. Li, J. Boscardin, C. Peltz, K. Yaffe

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  • ·Cross-Sectional and Longitudinal Comparison of Tau Imaging with ¹⁸F-MK6240 and ¹⁸F-Flortaucipir in Populations Matched for Age, MMSE and Brain Beta-Amyloid Burden

    Page :251-258

    Pierrick Bourgeat, N. Krishnadas, V. Doré, R. Mulligan, R. Tyrrell, S. Bozinovski, K. Huang, J. Fripp, V.L. Villemagne, C.C. Rowe, Alzheimer’s Disease Neuroimaging Initiative, AIBL research group

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  • ·Forecasting the Prevalence of Alzheimer’s Disease at Mild Cognitive Impairment and Mild Dementia Stages in France in 2022

    Page :259-266

    Audrey Gabelle, M. Guéry, A. Doutriaux, K. Bettayeb

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  • ·Exploring the Associations between Alzheimer’s Disease and GBM Mediated by Microglia Based on Network Analysis

    Page :267-275

    Chunlong Zhang, Xiaoling Zhong, Li Yi, Z. Zhao, Y. Zhang, G. Tan, Y. Zhang, Y. Zhang, Yanjun Xu, Nan Wu

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• Review

  • ·The Role of Thyroid Dysfunction in Alzheimer’s Disease: A Systematic Review and Meta-Analysis

    Page :276-286

    A. Salehipour, M. Dolatshahi, M. Haghshomar, Jay Amin

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  • ·Environmental Enrichment in Murine Models and Its Translation to Human Factors Improving Conditions in Alzheimer Disease

    Page :287-300

    M.F. Colavitta, L. Grasso, Francisco J. Barrantes

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• Brief Report

  • ·Predicting Progression from Normal to MCI and from MCI to AD Using Clinical Variables in the National Alzheimer’s Coordinating Center Uniform Data Set Version 3: Application of Machine Learning Models and a Probability Calculator

    Page :301-313

    Y. Pang, W. Kukull, M. Sano, R.L. Albin, C. Shen, J. Zhou, Hiroko H. Dodge

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  • ·Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol

    Page :314-321

    Alexandra König, N. Linz, E. Baykara, J. Tröger, C. Ritchie, S. Saunders, S. Teipel, S. Köhler, G. Sánchez-Benavides, O. Grau-Rivera, J.D. Gispert, S. Palmqvist, P. Tideman, O. Hansson

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  • ·Memory for Semantically Related Objects Differentiates Cognitively Unimpaired Autosomal Dominant Mutation Carriers from Non-Carrier Family Members

    Page :322-327

    J.T. Fox-Fuller, J.E. Martinez, A. Baena, N. Londono, D. Munera, D. Noriega, C. Vila-Castelar, P.A. Aduen, F. Lopera, A. Cronin-Golomb, Yakeel T. Quiroz

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