Biblio

Export 3145 results:
Author Title [ Type(Desc)] Year
Journal Article
B. Garcia, Martin, C., Garcia-Suarez, O., Muniz-Alonso, B., Ordiales, H., Fernandez-Menendez, S., Santos-Juanes, J., Lorente-Gea, L., Castanon, S., Vicente-Etxenausia, I., Batista, K. Manuel Pin, Ruiz-Diaz, I., Caballero-Martinez, M. Cristina, Merayo-Lloves, J., Guerra-Merino, I., Quiros, L. M., and Fernandez-Vega, I., “Upregulated Expression of Heparanase and Heparanase 2 in the Brains of Alzheimer's Disease.”, J Alzheimers Dis, vol. 58, no. 1, pp. 185-192, 2017.
G. - H. Lee, Jang, B., Choi, H. - S., Kim, H. - J., Park, J. - H., Jeon, Y. - C., Carp, R. I., Kim, Y. - S., and Choi, E. - K., “Upregulation of Connexin 43 Expression Via C-Jun N-Terminal Kinase Signaling in Prion Disease.”, J Alzheimers Dis, vol. 49, no. 4, pp. 1005-19, 2016.
S. Merighi, Battistello, E., Casetta, I., Gragnaniello, D., Poloni, T. Emanuele, Medici, V., Cirrincione, A., Varani, K., Vincenzi, F., Borea, P. Andrea, and Gessi, S., “Upregulation of Cortical A2A Adenosine Receptors Is Reflected in Platelets of Patients with Alzheimer's Disease.”, J Alzheimers Dis, vol. 80, no. 3, pp. 1105-1117, 2021.
S. Chaudhary, Ashok, A., McDonald, D., Wise, A. S., Kritikos, A. E., Rana, N. A., Harding, C. V., and Singh, N., “Upregulation of Local Hepcidin Contributes to Iron Accumulation in Alzheimer's Disease Brains.”, J Alzheimers Dis, vol. 82, no. 4, 2021.
Y. Wang, Wang, Y., Bharti, V., Zhou, H., Hoi, V., Tan, H., Wu, Z., Nagakannan, P., Eftekharpour, E., and Wang, J. - F., “Upregulation of Thioredoxin-Interacting Protein in Brain of Amyloid-β Protein Precursor/Presenilin 1 Transgenic Mice and Amyloid-β Treated Neuronal Cells.”, J Alzheimers Dis, vol. 72, no. 1, pp. 139-150, 2019.
H. Zhang, D'Agostino, C., Forman, H. Jay, Cacciottolo, M., Thorwald, M., Mack, W. J., Liu, Q., Shkirkova, K., Lamorie-Foote, K., Sioutas, C., Pirhadi, M., Mack, W. Jean, Morgan, T. E., and Finch, C. E., “Urban Air Pollution Nanoparticles from Los Angeles: Recently Decreased Neurotoxicity.”, J Alzheimers Dis, vol. 82, no. 1, pp. 307-316, 2021.
M. Yoshida, Uemura, T., Mizoi, M., Waragai, M., Sakamoto, A., Terui, Y., Kashiwagi, K., and Igarashi, K., “Urinary Amino Acid-Conjugated Acrolein and Taurine as New Biomarkers for Detection of Dementia.”, J Alzheimers Dis, vol. 92, no. 1, pp. 361-369, 2023.
N. Zhang, Zhang, L., Li, Y., Gordon, M. L., Cai, L., Wang, Y., Xing, M., and Cheng, Y., “Urine AD7c-NTP Predicts Amyloid Deposition and Symptom of Agitation in Patients with Alzheimer's Disease and Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 60, no. 1, pp. 87-95, 2017.
Z. Tong, Wang, W., Luo, W., Lv, J., Li, H., Luo, H., Jia, J., and He, R., “Urine Formaldehyde Predicts Cognitive Impairment in Post-Stroke Dementia and Alzheimer's Disease.”, J Alzheimers Dis, vol. 55, no. 3, pp. 1031-1038, 2017.
F. Yao, Hong, X., Li, S., Zhang, Y., Zhao, Q., Du, W., Wang, Y., and Ni, J., “Urine-Based Biomarkers for Alzheimer's Disease Identified Through Coupling Computational and Experimental Methods.”, J Alzheimers Dis, vol. 65, no. 2, pp. 421-431, 2018.
S. Dublin, Walker, R. L., Gray, S. L., Hubbard, R. A., Anderson, M. L., Yu, O., Montine, T. J., Crane, P. K., Sonnen, J. A., and Larson, E. B., “Use of Analgesics (Opioids and Nonsteroidal Anti-Inflammatory Drugs) and Dementia-Related Neuropathology in a Community-Based Autopsy Cohort.”, J Alzheimers Dis, vol. 58, no. 2, pp. 435-448, 2017.
F. Clay, Howett, D., Fitzgerald, J., Fletcher, P., Chan, D., and Price, A., “Use of Immersive Virtual Reality in the Assessment and Treatment of Alzheimer's Disease: A Systematic Review.”, J Alzheimers Dis, vol. 75, no. 1, pp. 23-43, 2020.
B. Bonnechère, Van Vooren, M., Bier, J. - C., De Breucker, S., Van Hove, O., Jan, S. Van Sint, Feipel, V., and Jansen, B., “The Use of Mobile Games to Assess Cognitive Function of Elderly with and without Cognitive Impairment.”, J Alzheimers Dis, vol. 64, no. 4, pp. 1285-1293, 2018.
S. Garrido, Dunne, L., Chang, E., Perz, J., Stevens, C. J., and Haertsch, M., “The Use of Music Playlists for People with Dementia: A Critical Synthesis.”, J Alzheimers Dis, vol. 60, no. 3, pp. 1129-1142, 2017.
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.
F. Segovia, Gómez-Río, M., Sánchez-Vañó, R., Górriz, J. Manuel, Ramírez, J., Triviño-Ibáñez, E., Carnero-Pardo, C., Martínez-Lozano, M. Dolores, and Sopena-Novales, P., “Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study.”, J Alzheimers Dis, vol. 65, no. 3, pp. 765-779, 2018.
M. Asif Emran Emon, Kodamullil, A. Tom, Karki, R., Younesi, E., and Hofmann-Apitius, M., “Using Drugs as Molecular Probes: A Computational Chemical Biology Approach in Neurodegenerative Diseases.”, J Alzheimers Dis, vol. 56, no. 2, pp. 677-686, 2017.
S. Gill, Mouches, P., Hu, S., Rajashekar, D., MacMaster, F. P., Smith, E. E., Forkert, N. D., and Ismail, Z., “Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data.”, J Alzheimers Dis, vol. 75, no. 1, pp. 277-288, 2020.
K. R. Thomas, Edmonds, E. C., Eppig, J., Salmon, D. P., and Bondi, M. W., “Using Neuropsychological Process Scores to Identify Subtle Cognitive Decline and Predict Progression to Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 64, no. 1, pp. 195-204, 2018.
C. Lage, Suarez, A. Gonzalez, Pozueta, A., Riancho, J., Kazimierczak, M., Bravo, M., Bonilla, J. Jimenez, Torres, Mde Arcocha, Quirce, R., Banzo, I., Vázquez-Higuera, J. Luis, Rabinovici, G. D., Rodriguez-Rodriguez, E., and Sánchez-Juan, P., “Utility of Amyloid and FDG-PET in Clinical Practice: Differences Between Secondary and Tertiary Care Memory Units.”, J Alzheimers Dis, vol. 63, no. 3, pp. 1025-1033, 2018.
Y. - F. Shea, Barker, W., Greig-Gusto, M. T., Loewenstein, D. A., DeKosky, S. T., and Duara, R., “Utility of Amyloid PET Scans in the Evaluation of Patients Presenting with Diverse Cognitive Complaints.”, J Alzheimers Dis, vol. 66, no. 4, pp. 1599-1608, 2018.
T. Porter, Burnham, S. C., Milicic, L., Savage, G., Maruff, P., Lim, Y. Ying, Li, Q. - X., Ames, D., Masters, C. L., Rainey-Smith, S., Rowe, C. C., Salvado, O., Groth, D., Verdile, G., Villemagne, V. L., and Laws, S. M., “Utility of an Alzheimer's Disease Risk-Weighted Polygenic Risk Score for Predicting Rates of Cognitive Decline in Preclinical Alzheimer's Disease: A Prospective Longitudinal Study.”, J Alzheimers Dis, vol. 66, no. 3, pp. 1193-1211, 2018.
M. F. Bergeron, Landset, S., Zhou, X., Ding, T., Khoshgoftaar, T. M., Zhao, F., Du, B., Chen, X., Wang, X., Zhong, L., Liu, X., and J Ashford, W., “Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 77, no. 4, pp. 1545-1558, 2020.
M. J. Lan, R Ogden, T., Kumar, D., Stern, Y., Parsey, R. V., Pelton, G. H., Rubin-Falcone, H., Pradhaban, G., Zanderigo, F., Miller, J. M., J Mann, J., and Devanand, D. P., “Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia.”, J Alzheimers Dis, vol. 60, no. 3, pp. 939-947, 2017.
C. Li, Neugroschl, J., Luo, X., Zhu, C., Aisen, P., Ferris, S., and Sano, M., “The Utility of the Cognitive Function Instrument (CFI) to Detect Cognitive Decline in Non-Demented Older Adults.”, J Alzheimers Dis, vol. 60, no. 2, pp. 427-437, 2017.

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