Biblio

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Journal Article
C. R. Jack, Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., Lesnick, T. G., Pankratz, V. S., Donohue, M. C., and Trojanowski, J. Q., Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers., Lancet Neurol, vol. 12, no. 2, pp. 207-16, 2013.
N. - Y. Jung, Han, C. E., Kim, H. Jin, Yoo, S. Wook, Kim, H. - J., Kim, E. - J., Na, D. L., Lockhart, S. N., Jagust, W. J., Seong, J. - K., and Seo, S. Won, Tract-Specific Correlates of Neuropsychological Deficits in Patients with Subcortical Vascular Cognitive Impairment., J Alzheimers Dis, vol. 50, no. 4, pp. 1125-35, 2016.
N. - Y. Jung, Han, C. E., Kim, H. Jin, Yoo, S. Wook, Kim, H. - J., Kim, E. - J., Na, D. L., Lockhart, S. N., Jagust, W. J., Seong, J. - K., and Seo, S. Won, Tract-Specific Correlates of Neuropsychological Deficits in Patients with Subcortical Vascular Cognitive Impairment., J Alzheimers Dis, vol. 50, no. 4, pp. 1125-35, 2016.
S. Favaretto, Walter, U., Baracchini, C., and Cagnin, A., Transcranial Sonography in Neurodegenerative Diseases with Cognitive Decline., J Alzheimers Dis, vol. 61, no. 1, pp. 29-40, 2018.
H. Takase, Hamanaka, G., Hoshino, T., Ohtomo, R., Guo, S., Mandeville, E. T., Lo, E. H., and Arai, K., Transcriptomic Profiling Reveals Neuroinflammation in the Corpus Callosum of a Transgenic Mouse Model of Alzheimer's Disease., J Alzheimers Dis, vol. 97, no. 3, pp. 1421-1433, 2024.
F. Pasquier, Sadowsky, C., Holstein, A., Leterme, G. Le Prince, Peng, Y., Jackson, N., Fox, N. C., Ketter, N., Liu, E., and J Ryan, M., Two Phase 2 Multiple Ascending-Dose Studies of Vanutide Cridificar (ACC-001) and QS-21 Adjuvant in Mild-to-Moderate Alzheimer's Disease., J Alzheimers Dis, vol. 51, no. 4, pp. 1131-43, 2016.
S. Salloway, Sperling, R., Fox, N. C., Blennow, K., Klunk, W., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., Ferris, S., Reichert, M., Ketter, N., Nejadnik, B., Guenzler, V., Miloslavsky, M., Wang, D., Lu, Y., Lull, J., Tudor, I. Cristina, Liu, E., Grundman, M., Yuen, E., Black, R., and H Brashear, R., Two phase 3 trials of bapineuzumab in mild-to-moderate Alzheimer's disease., N Engl J Med, vol. 370, no. 4, pp. 322-33, 2014.
K. Muthukumaran, Kanwar, A., Vegh, C., Marginean, A., Elliott, A., Guilbeault, N., Badour, A., Sikorska, M., Cohen, J., and Pandey, S., Ubisol-Q10 (a Nanomicellar Water-Soluble Formulation of CoQ10) Treatment Inhibits Alzheimer-Type Behavioral and Pathological Symptoms in a Double Transgenic Mouse (TgAPEswe, PSEN1dE9) Model of Alzheimer's Disease., J Alzheimers Dis, vol. 61, no. 1, pp. 221-236, 2018.
M. Xie, Han, Y., Yu, Q., Wang, X., Wang, S., and Liao, X., UCH-L1 Inhibition Decreases the Microtubule-Binding Function of Tau Protein., J Alzheimers Dis, vol. 49, no. 2, pp. 353-63, 2016.
K. Pushpa Tryphena, Anuradha, U., Kumar, R., Rajan, S., Srivastava, S., Singh, S. Bala, and Khatri, D. Kumar, Understanding the Involvement of microRNAs in Mitochondrial Dysfunction and Their Role as Potential Biomarkers and Therapeutic Targets in Parkinson's Disease., J Alzheimers Dis, vol. 94, no. s1, pp. S187-S202, 2023.
T. Nikolai, Stepankova, H., Kopecek, M., Sulc, Z., Vyhnálek, M., and Bezdicek, O., The Uniform Data Set, Czech Version: Normative Data in Older Adults from an International Perspective., J Alzheimers Dis, vol. 61, no. 3, pp. 1233-1240, 2018.
T. Nikolai, Stepankova, H., Kopecek, M., Sulc, Z., Vyhnálek, M., and Bezdicek, O., The Uniform Data Set, Czech Version: Normative Data in Older Adults from an International Perspective., J Alzheimers Dis, vol. 61, no. 3, pp. 1233-1240, 2018.
T. Eichler, Thyrian, J. René, Hertel, J., Richter, S., Wucherer, D., Michalowsky, B., Teipel, S., Kilimann, I., Dreier, A., and Hoffmann, W., Unmet Needs of Community-Dwelling Primary Care Patients with Dementia in Germany: Prevalence and Correlates., J Alzheimers Dis, vol. 51, no. 3, pp. 847-55, 2016.
B. Seok Ye, Jang, E. Young, Kim, S. Yoon, Kim, E. - J., Park, S. Ah, Lee, Y., Hong, C. Hyung, Choi, S. Hye, Yoon, B., Yoon, S. Jin, Na, H. Ri, Lee, J. - H., Jeong, J. H., Kim, H. Jin, Na, D. L., and Seo, S. Won, Unstable Body Mass Index and Progression to Probable Alzheimer's Disease Dementia in Patients with Amnestic Mild Cognitive Impairment., J Alzheimers Dis, vol. 49, no. 2, pp. 483-91, 2016.
S. Chand Basha, Ramaiah, M. Janaki, and Kosagisharaf, J. Rao, Untangling the Role of TREM2 in Conjugation with Microglia in Neuronal Dysfunction: A Hypothesis on a Novel Pathway in the Pathophysiology of Alzheimer's Disease., J Alzheimers Dis, vol. 94, no. s1, pp. S319-S333, 2023.
M. O. Etekochay, Amaravadhi, A. Rao, González, G. Villarrubi, Atanasov, A. G., Matin, M., Mofatteh, M., Steinbusch, H. Wilhelm, Tesfaye, T., and Praticò, D., Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer's Disease., J Alzheimers Dis, vol. 99, no. 1, pp. 1-20, 2024.
C. Marra, Gainotti, G., Fadda, L., Perri, R., Lacidogna, G., Scaricamazza, E., Piccininni, C., and Quaranta, D., Usefulness of an Integrated Analysis of Different Memory Tasks to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease: The Episodic Memory Score (EMS)., J Alzheimers Dis, vol. 50, no. 1, pp. 61-70, 2016.
Z. Shi, Zhu, Y., Wang, M., Wu, Y., Cao, J., Li, C., Xie, Z., and Shen, Y., The Utilization of Retinal Nerve Fiber Layer Thickness to Predict Cognitive Deterioration., J Alzheimers Dis, vol. 49, no. 2, pp. 399-405, 2016.
Z. Shi, Zhu, Y., Wang, M., Wu, Y., Cao, J., Li, C., Xie, Z., and Shen, Y., The Utilization of Retinal Nerve Fiber Layer Thickness to Predict Cognitive Deterioration., J Alzheimers Dis, vol. 49, no. 2, pp. 399-405, 2016.
X. Feng, Zhou, A., Liu, Z., Li, F., Wei, C., Zhang, G., and Jia, J., Validation of the Delayed Matching-to-Sample Task 48 (DMS48) in Elderly Chinese., J Alzheimers Dis, vol. 61, no. 4, pp. 1611-1618, 2018.
S. Salmerón, Huedo, I., López-Utiel, M., Soler-Moratalla, I., Flores-Ruano, T., Fernández-Sánchez, M., Noguerón, A., Doody, R. S., and Abizanda, P., Validation of the Spanish version of the Baylor Profound Mental Status Examination., J Alzheimers Dis, vol. 49, no. 1, pp. 73-8, 2016.
A. L. Jefferson, Gifford, K. A., Mae Y Acosta, L., Bell, S. P., Donahue, M. J., L Davis, T., Gottlieb, J. A., Gupta, D. K., Hohman, T. J., Lane, E. M., Libon, D. J., Mendes, L. A., Niswender, K., Pechman, K. R., Rane, S., Ruberg, F. L., Su, Y. Ru, Zetterberg, H., and Liu, D., The Vanderbilt Memory & Aging Project: Study Design and Baseline Cohort Overview., J Alzheimers Dis, vol. 52, no. 2, pp. 539-59, 2016.
S. Lynn Lim, Gao, Q., Nyunt, M. Shwe Zin, Gong, L., Lunaria, J. B., Lim, M. Li, Ling, A., Lam, C. Su- Ping, Richards, A. Mark, Ling, L. Hsi, and Ng, T. Pin, Vascular Health Indices and Cognitive Domain Function: Singapore Longitudinal Ageing Studies., J Alzheimers Dis, vol. 50, no. 1, pp. 27-40, 2016.
A. Pilotto, Turrone, R., Liepelt-Scarfone, I., Bianchi, M., Poli, L., Borroni, B., Alberici, A., Premi, E., Formenti, A., Bigni, B., Cosseddu, M., Cottini, E., Berg, D., and Padovani, A., Vascular Risk Factors and Cognition in Parkinson's Disease., J Alzheimers Dis, vol. 51, no. 2, pp. 563-70, 2016.
J. Li, Wang, Y. J., Zhang, M., Xu, Z. Q., Gao, C. Y., Fang, C. Q., Yan, J. C., and Zhou, H. D., Vascular risk factors promote conversion from mild cognitive impairment to Alzheimer disease., Neurology, vol. 76, no. 17, pp. 1485-91, 2011.

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