Imaging the evolution and pathophysiology of Alzheimer disease

Neuropathological stageing of Alzheimer-related changes.

Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123

The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics

Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864

Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy

Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359

Sleep Drives Metabolite Clearance from the Adult Brain

Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., et al. (2013) · Science · doi:10.1126/science.1241224 · Cited by 5,411

Classification of primary progressive aphasia and its variants

Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141

Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B

Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496

Physical basis of cognitive alterations in alzheimer's disease: Synapse loss is the major correlate of cognitive impairment

Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers

Jack, C. R., 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., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396

What is cognitive reserve? Theory and research application of the reserve concept

STERN, Y. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702813248 · Cited by 3,951

Clinical and biomarker changes in dominantly inherited Alzheimer's disease

Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814

The Aptamer Ob2, a novel AChE inhibitor, restores cognitive deficits and alleviates amyloidogenesis in 5×FAD transgenic mice

Liang, Z., Li, X., Luo, X., Luo, H.-J., Chen, Y., Cai, M., Zhong, X.-X., Fang, Y., Guo, T., Shi, Y., et al. (2022) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2022.02.018 · Cited by 22

An Activity‐Based Fluorescent Probe for Imaging Fluctuations of Peroxynitrite (ONOO−) in the Alzheimer's Disease Brain

Wang, P., Yu, L., Gong, J., Xiong, J., Zi, S., Xie, H., Zhang, F., Mao, Z., Liu, Z., & Kim, J. S. (2022) · Angewandte Chemie · doi:10.1002/ange.202206894 · Cited by 20

Alzheimer’s Disease Severity Is Associated with an Imbalance in Serum Levels of Enzymes Regulating Plasmin Synthesis

Angelucci, F., Veverová, K., Katonová, A., Piendel, L. A., Vyhnálek, M., & Hort, J. (2022) · Pharmaceuticals · doi:10.3390/ph15091074 · Cited by 20

Neuroprotective effect of ranolazine improves behavioral discrepancies in a rat model of scopolamine-induced dementia

Samir, S. M., Hassan, H. M., Elmowafy, R., Nashar, E. M. E., Alghamdi, M. A., AlSheikh, M. H., Al-Zahrani, N. S., Alasiri, F. M., & Elhadidy, M. G. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1267675 · Cited by 22

Relationship between β-amyloid and structural network topology in decedents without dementia

Jonkman, L. E., Steenwijk, M. D., Boesen, N., Rozemüller, A. J. M., Barkhof, F., Geurts, J. J. G., Douw, L., & van de Berg, W. D. J. (2020) · Neurology · doi:10.1212/wnl.0000000000009910 · Cited by 19

Altered functional connectivity of the insula in a rat model of recurrent headache

Jia, Z., Yu, S., Tang, W., & Zhao, D. (2020) · Molecular Pain · doi:10.1177/1744806920922115 · Cited by 19

Hsp22 with an N-Terminal Domain Truncation Mediates a Reduction in Tau Protein Levels

Webster, J. M., Darling, A. L., Sanders, T. A., Blazier, D. M., Vidal-Aguiar, Y., Beaulieu‐Abdelahad, D., Plemmons, D. G., Hill, S. E., Uversky, V. N., Bickford, P. C., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21155442 · Cited by 18

Diagnosis of Alzheimer's Disease Based on Deeply-Fused Nets

Chen, C. Z., Wu, Q., Li, Z., Xiao, L., & Hu, Z. Y. (2020) · Combinatorial Chemistry & High Throughput Screening · doi:10.2174/1386207323666200825092649 · Cited by 19

A New Highly Deuterated [18F]AV-45, [18F]D15FSP, for Imaging β-Amyloid Plaques in the Brain

Xiao, H., Choi, S., Zhao, R., Plöessl, K., Alexoff, D., Zhu, L., Zha, Z., & Kung, H. F. (2021) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.1c00062 · Cited by 19

Development of naringenin- O -alkylamine derivatives as multifunctional agents for the treatment of Alzheimer’s disease

Yang, J., Zhou, Y. M., Ban, Y., Mi, J., He, Y., Li, X., Liu, Z., Wang, K., Zhu, G., Liu, W., et al. (2022) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.1080/14756366.2022.2041627 · Cited by 19

Aβ Oligomer Toxicity-Reducing Therapy for the Prevention of Alzheimer’s Disease: Importance of the Nrf2 and PPARγ Pathways

Araki, W. (2023) · Cells · doi:10.3390/cells12101386 · Cited by 20

Neuroimaging of tissue microstructure as a marker of neurodegeneration in the AT(N) framework: defining abnormal neurodegeneration and improving prediction of clinical status

Gallagher, R. L., Koscik, R. L., Moody, J. F., Vogt, N. M., Adluru, N., Kecskemeti, S., Hulle, C. A. V., Chin, N. A., Asthana, S., Kollmorgen, G., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01281-y · Cited by 22

Emerging signs of Alzheimer‐like tau hyperphosphorylation and neuroinflammation in the brain post recovery from COVID‐19

Qi, X., Yuan, S., Ding, J., Sun, W., Shi, Y., Xing, Y., Liu, Z., Yao, Y., Fu, S., Sun, B., et al. (2024) · Aging Cell · doi:10.1111/acel.14352 · Cited by 18

Targeting Neuroinflammation in Central Nervous System Diseases by Oral Delivery of Lipid Nanoparticles

Zou, Y., Zhang, J., Chen, L., Xu, Q., Yao, S., & Chen, H. (2025) · Pharmaceutics · doi:10.3390/pharmaceutics17030388 · Cited by 19

Primary age-related tauopathy

Richardson, T. E., Walker, J. M., Farrell, K. W., Oliveira, T. G., White, C. L., & Crary, J. F. (2025) · Acta Neuropathologica · doi:10.1007/s00401-025-02943-x · Cited by 25

Simultaneous administration of bromodomain and histone deacetylase I inhibitors alleviates cognition deficit in Alzheimer's model of rats

Badrikoohi, M., Esmaeili‐bandboni, A., & Babaei, P. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.12.004 · Cited by 18

Classification of Alzheimer’s Disease Subjects from MRI Using Deep Convolutional Neural Networks

Papadimitriou, O., Kanavos, A., Phivos Mylonas, B., & Μaragoudakis, M. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-44146-2_28 · Cited by 19

IG-GCN: Empowering e-Health Services for Alzheimer’s Disease Prediction

Chen, X., Yao, W., Li, Y., Liang, D., Zheng, H., Shakil, S., Wang, S., & Sun, T. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2024.3439594 · Cited by 19

Insights into the Explicit Protective Activity of Herbals in Management of Neurodegenerative and Cerebrovascular Disorders

Behl, T., Makkar, R., Sehgal, A., Sharma, N., Singh, S., Albratty, M., Najmi, A., Meraya, A. M., & BUNGAU, S. G. (2022) · Molecules · doi:10.3390/molecules27154970 · Cited by 18

Pyridazinones containing the (4-methoxyphenyl)piperazine moiety as AChE/BChE inhibitors: design, synthesis, in silico and biological evaluation

Merde, İ. B., Önel, G. T., Türkmenoğlu, B., Gürsoy, Ş., & Dilek, E. (2022) · Medicinal Chemistry Research · doi:10.1007/s00044-022-02968-x · Cited by 17

E674Q (Shanghai APP mutant), a novel amyloid precursor protein mutation, in familial late-onset Alzheimer's disease

Zhang, Y., Xie, X., Chen, B., Pan, L., Li, J., Wang, W., Wang, J., Tang, R., Huang, Q., Chen, X., et al. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.02.051 · Cited by 19

Advanced brain imaging for the diagnosis of Alzheimer disease

Wang, Y.-T. T., Rosa‐Neto, P., & Gauthier, S. G. (2023) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001198 · Cited by 16

Atypical intrinsic neural timescale in the left angular gyrus in Alzheimer’s disease

Murai, S. A., Mano, T., Sanes, J. N., & Watanabe, T. (2024) · Brain Communications · doi:10.1093/braincomms/fcae199 · Cited by 17

Genetic spectrum features and diagnostic accuracy of four plasma biomarkers in 248 Chinese patients with frontotemporal dementia

Xu, T., Weng, L., Zhang, C., Xiao, X., Yang, Q., Zhu, Y., Zhou, Y., Liao, X., Luo, S., Wang, J., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14215 · Cited by 18

A review on gut microbiota and miRNA crosstalk: implications for Alzheimer’s disease

Ayyanar, M. P., & Vijayan, M. (2024) · GeroScience · doi:10.1007/s11357-024-01432-5 · Cited by 22

The interplay between microglial states and major risk factors in Alzheimer’s disease through the eyes of single-cell RNA-sequencing: beyond black and white

von Maydell, D. K., & Jorfi, M. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00395.2019 · Cited by 19

AD molecular: PET amyloid imaging across the Alzheimer's disease spectrum: From disease mechanisms to prevention

Meyer, P., McSweeney, M., Gonneaud, J., & Villeneuve, S. (2019) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2019.05.001 · Cited by 20

Extracellular Sortilin Proteopathy Relative to β-Amyloid and Tau in Aged and Alzheimer’s Disease Human Brains

Tu, T., Jiang, J., Zhang, Q., Wan, L., Li, Y., Pan, A., Manavis, J., & Yan, X. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00093 · Cited by 16

The POINTER Imaging baseline cohort: Associations between multimodal neuroimaging biomarkers, cardiovascular health, and cognition

Harrison, T. M., Ward, T. J., Taggett, J. Z., Maillard, P., Lockhart, S. N., Jung, Y., Lovato, L., Koeppe, R. A., Jagust, W. J., Harvey, D. J., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14399 · Cited by 16

Distinct Factors Drive the Spatiotemporal Progression of Tau Pathology in Older Adults.

Adams, J. N., Harrison, T. M., Maaß, A., Baker, S. L., & Jagust, W. J. (2022) · DZNE Pub · Cited by 16

Brain change trajectories in healthy adults correlate with Alzheimer’s related genetic variation and memory decline across life

Roe, J. M., Dídac Vidal-piñeiro, A., Sørensen, Ø., Grydeland, H., Leonardsen, E. H., Iakunchykova, O. P., Pan, M., Mowinckel, A. M., Strømstad, M., Nawijn, L., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53548-z · Cited by 20

Cofilin 2 in Serum as a Novel Biomarker for Alzheimer’s Disease in Han Chinese

Sun, Y., Liang, L., Dong, M., Li, C., Liu, Z., & Gao, H. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00214 · Cited by 17

Dynamic Interplay between Copper Toxicity and Mitochondrial Dysfunction in Alzheimer’s Disease

Tassone, G., Kola, A., Valensin, D., & Pozzi, C. (2021) · Life · doi:10.3390/life11050386 · Cited by 16

Aging impacts memory for perceptual, but not narrative, event detailsPreprint

Delarazan, A. I., Charan Ranganath, A., & Reagh, Z. M. (2023) · Learning & Memory · doi:10.1101/lm.053740.122 · Cited by 16

Slow wave synchrony during NREM sleep tracks cognitive impairment in prodromal Alzheimer's disease

Sharon, O., Zhelezniakov, V., Gat, Y., Falach, R., Narbayev, D., Shiner, T., Walker, M. P., Tauman, R., Bregman, N., & Nir, Y. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70247 · Cited by 23

Annexin A6 membrane repair protein protects against amyloid-induced dystrophic neurites and tau phosphorylation in Alzheimer’s disease model mice

Sadleir, K. R., Gómez, K., Edwards, A. E., Patel, A. J., Ley, M. L., Khatri, A. W., Guo, J., Mahesh, S., Watkins, E. A., Popović, J., et al. (2025) · Acta Neuropathologica · doi:10.1007/s00401-025-02888-1 · Cited by 18

Distinct manifestations of excitatory-inhibitory imbalance associated with amyloid-β and tau in patients with Alzheimer’s disease

Ranasinghe, K. G., Kudo, K., Syed, F., Yballa, C., Kramer, J. H., Miller, B. L., Rankin, K. P., Garcia, P. A., Kirsch, H. E., Vossel, K. A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62798-4 · Cited by 18

A CHCHD6–APP axis connects amyloid and mitochondrial pathology in Alzheimer’s disease

Shang, Y., Sun, X., Chen, X., Wang, Q., Wang, E. J., Miller, E., Xu, R., Pieper, A. A., & Qi, X. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02499-0 · Cited by 15

Design, synthesis and biological evaluation of new multi-target scutellarein hybrids for treatment of Alzheimer’s disease

Luo, K., Chen, J., Li, H., Wu, D., Du, Y., Zhao, S., Liu, T., Li, L., Dai, Z., Li, Y., et al. (2023) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2023.106596 · Cited by 15

Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease

Wolf, T. N., Pölsterl, S., & Wachinger, C. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-34048-2_7 · Cited by 15

Sex‐ and APOE‐specific genetic risk factors for late‐onset Alzheimer's disease: Evidence from gene–gene interaction of longevity‐related loci

Dato, S., Rango, F. D., Crocco, P., Pallotti, S., Belloy, M. E., Guen, Y. L., Greicius, M. D., Passarino, G., Rose, G., & Napolioni, V. (2023) · Aging Cell · doi:10.1111/acel.13938 · Cited by 12

Clinical application of MAO‐B PET using 18F‐THK5351 in neurological disorders

Ishibashi, K. (2023) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.14729 · Cited by 14

Seeing beyond the symptoms: biomarkers and brain regions linked to cognitive decline in Alzheimer’s disease

Hojjati, S. H., Abbas Babajani-feremi, A., & Initiative, T. A. D. N. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1356656 · Cited by 15

Comparison Between Brain and Cerebellar Autoradiography Using [18F]Flortaucipir, [18F]MK6240, and [18F]PI2620 in Postmortem Human Brain Tissue

Aliaga, A., Therriault, J., Quispialaya, K. M., Aliaga, A., Hopewell, R., Rahmouni, N., Macedo, A. C., Kunach, P., Soucy, J., Massarweh, G., et al. (2024) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.267539 · Cited by 18

Pharmacogenomics for neurodegenerative disorders - a focused review

Ahmad, S. R., Zeyaullah, M., Khan, M. S. A. A., AlShahrani, A. M., Altijani, A. A. G., Ali, H., Dawria, A., Mohieldin, A., Alam, M. S., & Mohamed, A. O. A. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1478964 · Cited by 17

Development of genistein-O-alkylamines derivatives as multifunctional agents for the treatment of Alzheimer’s disease

Sang, Z., Shi, J., Zhou, Y. M., Wang, K., Zhao, Y., Li, Q., Qiao, Z., Wu, A., Tan, Z., & Liu, W. (2021) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2020.104602 · Cited by 15

Detection and quantification of Aβ−3–40 (APP669‐711) in cerebrospinal fluid

Klafki, H., Wirths, O., Mollenhauer, B., Liepold, T., Rieper, P., Esselmann, H., Vogelgsang, J. S., Wiltfang, J., & Jahn, O. (2022) · Journal of Neurochemistry · doi:10.1111/jnc.15571 · Cited by 15

Hallmarks of healthy cognitive aging: Inter-individual differences in aging trajectories

Abrous, D. N., Blin, N., Boraxbekk, C., Catheline, G., Fitzsimons, C. P., Hilscher, M. M., Lemoine, M., Lopes, L. V., Maass, A., Nilsson, M., et al. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103102 · Cited by 18

Peptidotriazolamers Inhibit Aβ(1–42) Oligomerization and Cross a Blood‐Brain‐Barrier Model

Tonali, N., Hericks, L., Schröder, D. C., Kracker, O., Krzemieniecki, R., Kaffy, J., Joncour, V. L., Laakkonen, P., Marion, A., Ongeri, S., et al. (2021) · ChemPlusChem · doi:10.1002/cplu.202000814 · Cited by 14

The Role of a Pathological Interaction between β-amyloid and Mitochondria in the Occurrence and Development of Alzheimer’s Disease

Nikolaeva, N. S., Yandulova, E. Y., Aleksandrova, Y. R., Starikov, A. S., & Неганова, М. Е. (2022) · Acta Naturae · doi:10.32607/actanaturae.11723 · Cited by 15

Composition of gut microbiota and its correlations with neurological, intestinal, cardiovascular and metabolic diseases

Sciuto, M., & Catanzaro, R. (2023) · Acta Microbiologica et Immunologica Hungarica · doi:10.1556/030.2023.02134 · Cited by 15

Associations between cardiometabolic multimorbidity and cerebrospinal fluid biomarkers of Alzheimer’s disease pathology in cognitively intact adults: the CABLE study

Li, Q., Hu, H., Zhang, G.-W., Hu, H., Ou, Y., Huang, L., Wang, A.-Y., Gao, P., Ma, L., Tan, L., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01396-w · Cited by 15

Impact of APOE on amyloid and tau accumulation in argyrophilic grain disease and Alzheimer’s disease

Raulin, A., Doss, S. V., Heckman, M. G., Craver, E. C., Li, Z., Ikezu, T. C., Sekiya, H., Liu, C., Martens, Y. A., Rosenberg, C. L., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01731-0 · Cited by 14

Deconstructing pathological tau by biological process in early stages of Alzheimer disease: a method for quantifying tau spatial spread in neuroimaging

Doering, S., McCullough, A. A., Gordon, B. A., Chen, C. D., McKay, N. S., Hobbs, D. A., Keefe, S., Flores, S. E., Scott, J., Smith, H. D., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105080 · Cited by 19

Advances of therapy for Alzheimer's disease: An updated review

Mei, C., Zhan, J., Zhu, S., Zhang, Y., Xiong, C., Wang, J., Xu, Y. J., Zhong, H., & Cheng, J. (2024) · Brain‐X · doi:10.1002/brx2.68 · Cited by 15

Inter-network functional connectivity increases by beta-amyloid and may facilitate the early stage of tau accumulation

Hojjati, S. H., Butler, T., de Leon, M. J., Gupta, A. K., Nayak, S., Luchsinger, J. A., Razlighi, Q. R., & Chiang, G. C.-Y. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.01.005 · Cited by 18

White matter dysfunction in Alzheimer’s disease is associated with disease-related transcriptomic signatures

Li, Y., Zhou, G., Peng, J., Liu, L., Zhang, F., Iturria‐Medina, Y., Yao, D., Biswal, B. B., & Wang, P. (2025) · Communications Biology · doi:10.1038/s42003-025-08177-7 · Cited by 18

Cortical atrophy and amyloid and tau deposition in Down syndrome: A longitudinal study

Padilla, C., Montal, V., Walpert, M., Hong, Y. T., Fryer, T. D., Coles, J., Aigbirhio, F. I., Hartley, S. L., Cohen, A. D., Tudorascu, D., et al. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12288 · Cited by 14

Inhibition of acetylcholinesterase activity and β‑amyloid oligomer formation by 6‑bromotryptamine�A, a multi‑target anti‑Alzheimer's molecule

Jin, X., Wang, M., Shentu, J., Huang, C., Bai, Y., Pan, H., Zhang, D., Yuan, Z., Zhang, H., Xiao, X., et al. (2019) · Oncology Letters · doi:10.3892/ol.2019.11226 · Cited by 14

Peptidyl arginine deiminase 4 and its potential role in Alzheimer's disease

Wang, L., Song, Y., Mi, J.-H., & Ding, M. (2020) · Medical Hypotheses · doi:10.1016/j.mehy.2020.110466 · Cited by 13

Cortical thickness of the left parahippocampal cortex links central hearing and cognitive performance in aging

Li, R., Miao, X., Han, B., & Li, J. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14971 · Cited by 13

Deep Learning Implementation using Convolutional Neural Network for Alzheimer’s Classification

Priyatama, A., Sari, Z., & Azhar, Y. (2023) · Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) · doi:10.29207/resti.v7i2.4707 · Cited by 13

Dynamic functional connectivity MEG features of Alzheimer’s disease

Jin, H., Ranasinghe, K. G., Prabhu, P., Dale, C. L., Gao, Y., Kudo, K., Vossel, K. A., Raj, A., Nagarajan, S. S., & Jiang, F. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120358 · Cited by 15

Predicting ‘Brainage’ in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning

Griffiths-King, D., WOOD, A. G., & Novák, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-42414-5 · Cited by 13

Early Alzheimer’s disease diagnosis using an XG-Boost model applied to MRI images

Nguyen, K., Nguyen, M., Dang, T. T. K., Pham, B. H., Huynh, V., Toi, V. V., Ngo, L. T., & Ha, H. (2023) · Biomedical Research and Therapy · doi:10.15419/bmrat.v10i9.832 · Cited by 14

Energy landscape analysis of brain network dynamics in Alzheimer’s disease

Xing, L., Guo, Z., & Long, Z. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1375091 · Cited by 12

Parametric estimation of reference signal intensity in the quantification of amyloid-beta deposition: an 18F-AV-45 study

Initiative, T. A. D. N., Wang, M., Yan, Z., Zhang, H., Lu, J., Li, L., Yu, J., Wang, J., Matsuda, H., Zuo, C., et al. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-110 · Cited by 13

Correlation Between Brain 18 F-AV45 and 18F-FDG PET Distribution Characteristics and Cognitive Function in Patients with Mild and Moderate Alzheimer’s Disease

Jing, J., Zhang, F., Zhao, L., Xie, J., Chen, J., Zhong, R., Zhang, Y., & Dong, C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201335 · Cited by 13

Monoamine oxidase binding not expected to significantly affect [18F]flortaucipir PET interpretation

Wright, J. P., Goodman, J. R., Lin, Y., Lieberman, B. P., Clemens, J., Gomez, L. F., Liang, Q., Hoye, A. T., Pontecorvo, M. J., & Conway, K. A. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05822-9 · Cited by 13

Deep joint learning of pathological region localization and Alzheimer’s disease diagnosis

Park, C., Jung, W., & Suk, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-38240-4 · Cited by 13

Amyloid‐dependent and amyloid‐independent effects of Tau in individuals without dementia

Therriault, J., Pascoal, T. A., Sefranek, M., Mathotaarachchi, S. S., Benedet, A. L., Chamoun, M., Lussier, F. Z., Tissot, C., Bellaver, B., Ferreira, P. L., et al. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51457 · Cited by 13

Insights for Alzheimer's disease pharmacotherapy and current clinical trials

do Nascimento, A. L. C. S., Fernandes, R. P., Carvalho, A. C. S., Frigieri, I., Alves, R. C., & Chorilli, M. (2022) · Neurochemistry International · doi:10.1016/j.neuint.2022.105401 · Cited by 13

Asymmetric thinning of the cerebral cortex across the adult lifespan is accelerated in Alzheimer’s DiseasePreprint

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