Turab Naqvi AA, Hasan GM, Hassan MI. Targeting tau hyperphosphorylation via kinase inhibition: strategy to address Alzheimer’s disease. Curr Top Med Chem. 2020;20:1059–73.

Article  PubMed  Google Scholar 

Lee A, Kondapalli C, Virga D, Lewis T, Koo S, Ashok A, et al. Aβ42 oligomers trigger synaptic loss through CAMKK2-AMPK-dependent effectors coordinating mitochondrial fission and mitophagy. Nat Commun. 2022;13:4444.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lauterborn J, Cox C, Chan S, Vanderklish P, Lynch G, Gall C. Synaptic actin stabilization protein loss in down syndrome and Alzheimer disease. Brain Pathol. 2020;30:319–31.

Article  CAS  PubMed  Google Scholar 

Coleman PD, Yao PJ. Synaptic slaughter in Alzheimer’s disease. Neurobiol Aging. 2003;24:1023–7.

Article  CAS  PubMed  Google Scholar 

Mecca A, O’Dell R, Sharp E, Banks E, Bartlett H, Zhao W, et al. Synaptic density and cognitive performance in Alzheimer’s disease: a PET imaging study with [C]UCB-J. Alzheimer’s Dement. 2022;18:2527–36.

Article  CAS  Google Scholar 

Selkoe D, Hardy J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol Med. 2016;8:595–608.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Koffie R, Meyer-Luehmann M, Hashimoto T, Adams K, Mielke M, Garcia-Alloza M, et al. Oligomeric amyloid beta associates with postsynaptic densities and correlates with excitatory synapse loss near senile plaques. Proc Natl Acad Sci USA. 2009;106:4012–7.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Forner S, Baglietto-Vargas D, Martini A, Trujillo-Estrada L, LaFerla F. Synaptic impairment in Alzheimer’s disease: a dysregulated symphony. Trends Neurosci. 2017;40:347–57.

Article  CAS  PubMed  Google Scholar 

Lan G, Cai Y, Li A, Liu Z, Ma S, Guo T. Association of presynaptic loss with Alzheimer’s disease and cognitive decline. Ann Neurol. 2022;92:1001–15.

Article  CAS  PubMed  Google Scholar 

Stout K, Dunn A, Hoffman C, Miller G. The synaptic vesicle glycoprotein 2: structure, function, and disease relevance. ACS Chem Neurosci. 2019;10:3927–38.

Article  CAS  PubMed  Google Scholar 

Finnema S, Nabulsi N, Eid T, Detyniecki K, Lin S, Chen M, et al. Imaging synaptic density in the living human brain. Sci Transl Med. 2016;8:348ra396.

Article  Google Scholar 

Chen M, Mecca A, Naganawa M, Finnema S, Toyonaga T, Lin S, et al. Assessing synaptic density in Alzheimer disease with synaptic vesicle glycoprotein 2A positron emission tomographic imaging. JAMA Neurol. 2018;75:1215–24.

Article  PubMed  PubMed Central  Google Scholar 

Mecca A, Chen M, O’Dell R, Naganawa M, Toyonaga T, Godek T, et al. In vivo measurement of widespread synaptic loss in Alzheimer’s disease with SV2A PET. Alzheimer’s Dement. 2020;16:974–82.

Article  Google Scholar 

Vanhaute H, Ceccarini J, Michiels L, Koole M, Sunaert S, Lemmens R, et al. In vivo synaptic density loss is related to tau deposition in amnestic mild cognitive impairment. Neurology. 2020;95:e545–e553.

Article  CAS  PubMed  Google Scholar 

O’Dell R, Mecca A, Chen M, Naganawa M, Toyonaga T, Lu Y, et al. Association of Aβ deposition and regional synaptic density in early Alzheimer’s disease: a PET imaging study with [C]UCB-J. Alzheimer’s Res Ther. 2021;13:11.

Article  Google Scholar 

Zhou L, McInnes J, Wierda K, Holt M, Herrmann A, Jackson R, et al. Tau association with synaptic vesicles causes presynaptic dysfunction. Nat Commun. 2017;8:15295.

Article  PubMed  PubMed Central  Google Scholar 

Hoover B, Reed M, Su J, Penrod R, Kotilinek L, Grant M, et al. Tau mislocalization to dendritic spines mediates synaptic dysfunction independently of neurodegeneration. Neuron. 2010;68:1067–81.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gao F, Shang S, Chen C, Dang L, Gao L, Wei S, et al. Non-linear relationship between plasma amyloid-β 40 level and cognitive decline in a cognitively normal population. Front Aging Neurosci. 2020;12:557005.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Guo Q, Zhao Q, Chen M, Ding D, Hong Z. A comparison study of mild cognitive impairment with 3 memory tests among Chinese individuals. Alzheimer Dis Assoc Disord. 2009;23:253–59.

Ding D, Zhao Q, Guo Q, Liang X, Luo J, Yu L, et al. Progression and predictors of mild cognitive impairment in Chinese elderly: a prospective follow-up in the Shanghai aging study. Alzheimer’s Dement. (Amsterdam, Netherlands) 2016;4:28–36.

Zhao Q, Guo Q, Hong Z. Clustering and switching during a semantic verbal fluency test contribute to differential diagnosis of cognitive impairment. Neurosci Bull. 2013;29:75–82.

Article  PubMed  PubMed Central  Google Scholar 

Zhao Q, Guo Q, Liang X, Chen M, Zhou Y, Ding D, et al. Auditory verbal learning test is superior to rey-osterrieth complex figure memory for predicting mild cognitive impairment to Alzheimer’s disease. Curr Alzheimer Res. 2015;12:520–6.

Article  CAS  PubMed  Google Scholar 

McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR Jr, Kawas CH, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:263–9.

Article  PubMed  Google Scholar 

Jack C, Lowe V, Senjem M, Weigand S, Kemp B, Shiung M, et al. 11C PiB and structural MRI provide complementary information in imaging of Alzheimer’s disease and amnestic mild cognitive impairment. Brain. 2008;131:665–80.

Article  PubMed  Google Scholar 

Bondi M, Edmonds E, Jak A, Clark L, Delano-Wood L, McDonald C, et al. Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. J Alzheimer’s Dis. 2014;42:275–89.

Article  Google Scholar 

Su H, Sun X, Li F, Guo Q. Handgrip strength could be an early predictor of cognitive impairment in the Chinese population. 2021. Preprint https://doi.org/10.21203/rs.3.rs-400381/v1.

Lin L A. Conceptual framework for research on cognitive impairment with no dementia in memory clinic. Curr Alzheimer Res. 2020;17:517–25.

Sattlecker M, Khondoker M, Proitsi P, Williams S, Soininen H, Kłoszewska I, et al. Longitudinal protein changes in blood plasma associated with the rate of cognitive decline in Alzheimer’s disease. J Alzheimer’s Dis. 2016;49:1105–14.

Article  CAS  Google Scholar 

Wilson D, Rissin D, Kan C, Fournier D, Piech T, Campbell T, et al. The Simoa HD-1 analyzer: a novel fully automated digital immunoassay analyzer with single-molecule sensitivity and multiplexing. J Lab Autom. 2016;21:533–47.

Article  CAS  PubMed  Google Scholar 

Pan F, Huang Q, Wang Y, Wang Y, Guan Y, Xie F, et al. Non-linear character of plasma amyloid beta over the course of cognitive decline in Alzheimer’s continuum. Front Aging Neurosci. 2022;14:832700.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang J, Wang J, Xu X, You Z, Huang Q, Huang Y, et al. In vivo synaptic density loss correlates with impaired functional and related structural connectivity in Alzheimer’s disease. J Cereb Blood Flow Metab. 2023;43:977–988.

Qi H, Ren S, Jiang D, Hua F. Changes in brain glucose metabolism and connectivity in somatoform disorders: an 18F-FDG PET study. Eur Arch Psychiatry Clin Neurosci. 2020;270:881–91.

Article  Google Scholar 

Su J, Huang Q, Ren S, Xie F, Zhai Y, Guan Y, et al. Altered brain glucose metabolism assessed by F-FDG PET imaging is associated with the cognitive impairment of CADASIL. Neuroscience. 2019;417:35–44.

Article  CAS  PubMed  Google Scholar 

Gonzalez-Escamilla G, Lange C, Teipel S, Buchert R, Grothe MJ. PETPVE12: an SPM toolbox for Partial Volume Effects correction in brain PET - application to amyloid imaging with AV45-PET. Neuroimage. 2017;147:669–77.

Article  PubMed  Google Scholar 

Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15:273–89.

Article  CAS  PubMed  Google Scholar 

Lundeen T, Seibyl J, Covington M, Eshghi N, Kuo P. Signs and artifacts in amyloid PET. Radiographics. 2018;38:2123–33.

Article  PubMed  Google Scholar 

Minoshima S, Drzezga A, Barthel H, Bohnen N, Djekidel M, Lewis D, et al. SNMMI procedure standard/EANM practice guideline for amyloid PET imaging of the brain 1.0. J Nucl Med. 2016;57:1316–22.

Article  CAS  PubMed  Google Scholar 

Krishnadas N, Huang K, Schultz S, Doré V, Bourgeat P, Goh A, et al. Visually identified tau 18F-MK6240 PET patterns in symptomatic Alzheimer’s disease. J Alzheimer’s Dis. 2022;88:1627–37.

Article  CAS  Google Scholar 

Seibyl JP, DuBois JM, Racine A, Collins J, Guo Q, Wooten D, et al. A visual interpretation algorithm for assessing brain tauopathy with (18)F-MK-6240 PET. J Nucl Med. 2023;64:444–51.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Shuping J, Matthews D, Adamczuk K, Scott D, Rowe C, Kreisl W, et al. Development, initial validation, and application of a visual read method for [F]MK-6240 tau PET. Alzheimer’s Dement. 2023;9:e12372.

Article  Google Scholar 

Soleimani-Meigooni D, Rabinovici G. Tau PET visual reads: research and clinical applications and future directions. J Nucl Med. 2023;64:822–4.

Article  PubMed  PubMed Central  Google Scholar