Biblio

Export 3142 results:
Author Title [ Type(Desc)] Year
Journal Article
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.
A. Pons, LaMonica, H. M., Mowszowski, L., Köhler, S., Deckers, K., and Naismith, S. L., “Utility of the LIBRA Index in Relation to Cognitive Functioning in a Clinical Health Seeking Sample.”, J Alzheimers Dis, vol. 62, no. 1, pp. 373-384, 2018.
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.
S. Petersen, Houston, S., Qin, H., Tague, C., and Studley, J., “The Utilization of Robotic Pets in Dementia Care.”, J Alzheimers Dis, vol. 55, no. 2, pp. 569-574, 2017.

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