Biblio

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D
L. Zhang, Sun, C., Jin, Y., Gao, K., Shi, X., Qiu, W., Ma, C., and Zhang, L., Dickkopf 3 (Dkk3) Improves Amyloid-β Pathology, Cognitive Dysfunction, and Cerebral Glucose Metabolism in a Transgenic Mouse Model of Alzheimer's Disease., J Alzheimers Dis, vol. 60, no. 2, pp. 733-746, 2017.
F. Panza, Lozupone, M., Solfrizzi, V., Sardone, R., Dibello, V., Di Lena, L., D'Urso, F., Stallone, R., Petruzzi, M., Giannelli, G., Quaranta, N., Bellomo, A., Greco, A., Daniele, A., Seripa, D., and Logroscino, G., Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention., J Alzheimers Dis, vol. 62, no. 3, pp. 993-1012, 2018.
L. Grangeon, Paquet, C., Bombois, S., Quillard-Muraine, M., Martinaud, O., Bourre, B., Lefaucheur, R., Nicolas, G., Dumurgier, J., Gerardin, E., Jan, M., Laplanche, J. - L., Peoc'h, K., Hugon, J., Pasquier, F., Maltête, D., Hannequin, D., and Wallon, D., Differential Diagnosis of Dementia with High Levels of Cerebrospinal Fluid Tau Protein., J Alzheimers Dis, vol. 51, no. 3, pp. 905-13, 2016.
L. Qiang, Fujita, R., Yamashita, T., Angulo, S., Rhinn, H., Rhee, D., Doege, C., Chau, L., Aubry, L., Vanti, W. B., Moreno, H., and Abeliovich, A., Directed conversion of Alzheimer's disease patient skin fibroblasts into functional neurons., Cell, vol. 146, no. 3, pp. 359-71, 2011.
T. Qiu, Luo, X., Shen, Z., Huang, P., Xu, X., Zhou, J., and Zhang, M., Disrupted Brain Network in Progressive Mild Cognitive Impairment Measured by Eigenvector Centrality Mapping is Linked to Cognition and Cerebrospinal Fluid Biomarkers., J Alzheimers Dis, vol. 54, no. 4, pp. 1483-1493, 2016.
C. Paquet, Bouaziz-Amar, E., Cognat, E., Volpe-Gillot, L., Haddad, V., Mahieux, F., Dekimeche, S., Defontaines, B., Chabriat, H., Belin, C., Texeira, A., Goutagny, S., Questel, F., Azuar, J., Sellier, P. - O., Laplanche, J. - L., Hugon, J., and Dumurgier, J., Distribution of Cerebrospinal Fluid Biomarker Profiles in Patients Explored for Cognitive Disorders., J Alzheimers Dis, vol. 64, no. 3, pp. 889-897, 2018.
W. Penny, Iglesias-Fuster, J., Quiroz, Y. T., Lopera, F. Javier, and Bobes, M. A., Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer's Disease., J Alzheimers Dis, 2018.
Y. Pan, Liu, R., Terpstra, E., Wang, Y., Qiao, F., Wang, J., Tong, Y., and Pan, B., Dysregulation and diagnostic potential of microRNA in Alzheimer's disease., J Alzheimers Dis, vol. 49, no. 1, pp. 1-12, 2016.
E
M. Berger, Nadler, J. W., Friedman, A., McDonagh, D. L., Bennett, E. R., Cooter, M., Qi, W., Laskowitz, D. T., Ponnusamy, V., Newman, M. F., Shaw, L. M., Warner, D. S., Mathew, J. P., and James, M. L., The Effect of Propofol Versus Isoflurane Anesthesia on Human Cerebrospinal Fluid Markers of Alzheimer's Disease: Results of a Randomized Trial., J Alzheimers Dis, vol. 52, no. 4, pp. 1299-310, 2016.
J. Wang, Ye, F., Cheng, X., Zhang, X., Liu, F., Liu, G., Ni, M., Qiao, S., Zhou, W., and Zhang, Y., The Effects of LW-AFC on Intestinal Microbiome in Senescence-Accelerated Mouse Prone 8 Strain, a Mouse Model of Alzheimer's Disease., J Alzheimers Dis, vol. 53, no. 3, pp. 907-19, 2016.
J. Wang, Liu, Y., Cheng, X., Zhang, X., Liu, F., Liu, G., Qiao, S., Ni, M., Zhou, W., Zhang, Y., and Li, F., The Effects of LW-AFC on the Hippocampal Transcriptome in Senescence-Accelerated Mouse Prone 8 Strain, a Mouse Model of Alzheimer's Disease., J Alzheimers Dis, vol. 57, no. 1, pp. 227-240, 2017.
J. Wang, Qiao, F., Shang, S., Li, P., Chen, C., Dang, L., Jiang, Y., Huo, K., Deng, M., Wang, J., and Qu, Q., Elevation of Plasma Amyloid-β Level is More Significant in Early Stage of Cognitive Impairment: A Population-Based Cross-Sectional Study., J Alzheimers Dis, vol. 64, no. 1, pp. 61-69, 2018.
J. Wang, Qiao, F., Shang, S., Li, P., Chen, C., Dang, L., Jiang, Y., Huo, K., Deng, M., Wang, J., and Qu, Q., Elevation of Plasma Amyloid-β Level is More Significant in Early Stage of Cognitive Impairment: A Population-Based Cross-Sectional Study., J Alzheimers Dis, vol. 64, no. 1, pp. 61-69, 2018.
R. E. Amariglio, Buckley, R. F., Rabin, J. S., Papp, K. V., Quiroz, Y. T., Mormino, E. C., Sparks, K. P., Johnson, K. A., Rentz, D. M., and Sperling, R. A., Examining Cognitive Decline Across Black and White Participants in the Harvard Aging Brain Study., J Alzheimers Dis, vol. 75, no. 4, pp. 1437-1446, 2020.
I
L. Clare, Quinn, C., Jones, I. Rees, and Woods, R. T., "I Don't Think Of It As An Illness": Illness Representations in Mild to Moderate Dementia., J Alzheimers Dis, vol. 51, no. 1, pp. 139-50, 2016.
J. R. Petrella, Michael, A. M., Qian, M., Nwosu, A., Sneed, J., Goldberg, T. E., Devanand, D. P., and P Doraiswamy, M., Impact of Computerized Cognitive Training on Default Mode Network Connectivity in Subjects at Risk for Alzheimer's Disease: A 78-week Randomized Controlled Trial., J Alzheimers Dis, vol. 91, no. 1, pp. 483-494, 2023.
L. Clare, Martyr, A., Gamble, L. D., Pentecost, C., Collins, R., Dawson, E., Hunt, A., Parker, S., Allan, L., Burns, A., Hillman, A., Litherland, R., Quinn, C., Matthews, F. E., and Victor, C., Impact of COVID-19 on 'Living Well' with Mild-to-Moderate Dementia in the Community: Findings from the IDEAL Cohort., J Alzheimers Dis, vol. 85, no. 2, pp. 925-940, 2022.
T. Zhang, Li, H., Zhang, J., Li, X., Qi, D., Wang, N., and Zhang, Z., Impacts of High Serum Total Cholesterol Level on Brain Functional Connectivity in Non-Demented Elderly., J Alzheimers Dis, vol. 50, no. 2, pp. 455-63, 2016.
Z. P. Qureshi, Thiel, E., Nelson, J., and Khandker, R., Incremental Healthcare Utilization and Cost Burden of Comorbid Insomnia in Alzheimer's Disease Patients., J Alzheimers Dis, vol. 83, no. 4, pp. 1679-1690, 2021.

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