Adamczuk, K., Schaeverbeke, J., Nelissen, N., Neyens, V., Vandenbulcke, M., Goffin, K., et al. (2016). Amyloid imaging in cognitively normal older adults: Comparison between (18)F-flutemetamol and (11)C-Pittsburgh compound B. European Journal of Nuclear Medicine and Molecular Imaging, 43(1), 142–151. https://doi.org/10.1007/s00259-015-3156-9.

Article  CAS  PubMed  Google Scholar 

Arendt, T., Brückner, M. K., Morawski, M., Jäger, C., & Gertz, H. J. (2015). Early neurone loss in Alzheimer’s disease: Cortical or subcortical? Acta Neuropathologica Communications, 3, 10. https://doi.org/10.1186/s40478-015-0187-1.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bai, F., Zhang, Z., Watson, D. R., Yu, H., Shi, Y., Yuan, Y., et al. (2009). Abnormal functional connectivity of hippocampus during episodic memory retrieval processing network in amnestic mild cognitive impairment. Biological Psychiatry, 65(11), 951–958. https://doi.org/10.1016/j.biopsych.2008.10.017.

Article  PubMed  Google Scholar 

Bai, F., Liao, W., Watson, D. R., Shi, Y., Wang, Y., Yue, C., et al. (2011). Abnormal whole-brain functional connection in amnestic mild cognitive impairment patients. Behavioural Brain Research, 216(2), 666–672. https://doi.org/10.1016/j.bbr.2010.09.010.

Article  PubMed  Google Scholar 

Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., et al. (2012). Clinical and biomarker changes in dominantly inherited Alzheimer’s disease. The New England Journal of Medicine, 367(9), 795–804. https://doi.org/10.1056/NEJMoa1202753.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Berron, D., van Westen, D., Ossenkoppele, R., Strandberg, O., & Hansson, O. (2020). Medial temporal lobe connectivity and its associations with cognition in early Alzheimer’s disease. Brain: A Journal of Neurology, 143(4), 1233–1248. https://doi.org/10.1093/brain/awaa068.

Article  PubMed  Google Scholar 

Bondi, M. W., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., et al. (2014). Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. Journal of Alzheimer’s disease: JAD, 42(1), 275–289. https://doi.org/10.3233/JAD-140276.

Article  PubMed  Google Scholar 

Buckley, R. F., Schultz, A. P., Hedden, T., Papp, K. V., Hanseeuw, B. J., Marshall, G., et al. (2017). Functional network integrity presages cognitive decline in preclinical Alzheimer disease. Neurology, 89(1), 29–37. https://doi.org/10.1212/WNL.0000000000004059.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chhatwal, J. P., Schultz, A. P., Johnson, K. A., Hedden, T., Jaimes, S., Benzinger, T. L. S., et al. (2018). Preferential degradation of cognitive networks differentiates Alzheimer’s disease from ageing. Brain: A Journal of Neurology, 141(5), 1486–1500. https://doi.org/10.1093/brain/awy053.

Article  PubMed  Google Scholar 

Chong, J. S. X., Jang, H., Kim, H. J., Ng, K. K., Na, D. L., Lee, J. H., et al. (2019). Amyloid and cerebrovascular burden divergently influence brain functional network changes over time. Neurology, 93(16), e1514–e1525. https://doi.org/10.1212/WNL.0000000000008315.

Article  CAS  PubMed  Google Scholar 

Cui, L., Zhang, Z., Zac Lo, C. Y., & Guo, Q. (2021). Local functional MR Change Pattern and its Association with cognitive function in objectively-defined subtle cognitive decline. Frontiers in Aging Neuroscience, 13, 684918. https://doi.org/10.3389/fnagi.2021.684918.

Article  PubMed  PubMed Central  Google Scholar 

Dautricourt, S., de Flores, R., Landeau, B., Poisnel, G., Vanhoutte, M., Delcroix, N., et al. (2021). Longitudinal changes in hippocampal network connectivity in Alzheimer’s Disease. Annals of Neurology, 90(3), 391–406. https://doi.org/10.1002/ana.26168.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Favaretto, C., Allegra, M., Deco, G., Metcalf, N. V., Griffis, J. C., Shulman, G. L., et al. (2022). Subcortical-cortical dynamical states of the human brain and their breakdown in stroke. Nature Communications, 13(1), 5069. https://doi.org/10.1038/s41467-022-32304-1.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Filippi, M., Basaia, S., Canu, E., Imperiale, F., Meani, A., Caso, F., et al. (2017). Brain network connectivity differs in early-onset neurodegenerative dementia. Neurology, 89(17), 1764–1772. https://doi.org/10.1212/WNL.0000000000004577.

Article  PubMed  PubMed Central  Google Scholar 

Fischer, F. U., Wolf, D., & Fellgiebel, A. (2019). Connectivity and morphology of hubs of the cerebral structural connectome are associated with brain resilience in AD- and age-related pathology. Brain Imaging and Behavior, 13(6), 1650–1664. https://doi.org/10.1007/s11682-019-00090-y. & Alzheimer’s Disease Neuroimaging Initiative*

Franzmeier, N., Düzel, E., Jessen, F., Buerger, K., Levin, J., Duering, M., et al. (2018). Left frontal hub connectivity delays cognitive impairment in autosomal-dominant and sporadic Alzheimer’s disease. Brain: A Journal of Neurology, 141(4), 1186–1200. https://doi.org/10.1093/brain/awy008.

Article  PubMed  Google Scholar 

Gordon, B. A., Blazey, T. M., Su, Y., Hari-Raj, A., Dincer, A., Flores, S., et al. (2018). Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer’s disease: A longitudinal study. The Lancet Neurology, 17(3), 241–250. https://doi.org/10.1016/S1474-4422(18)30028-0.

Article  PubMed  PubMed Central  Google Scholar 

Guzmán-Vélez, E., Diez, I., Schoemaker, D., Pardilla-Delgado, E., Vila-Castelar, C., Fox-Fuller, J. T., et al. (2022). Amyloid-β and tau pathologies relate to distinctive brain dysconnectomics in preclinical autosomal-dominant Alzheimer’s disease. Proceedings of the National Academy of Sciences of the United States of America, 119(15), e2113641119. https://doi.org/10.1073/pnas.2113641119.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Habib, M., Mak, E., Gabel, S., Su, L., Williams, G., Waldman, A., et al. (2017). Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer’s disease. Ageing Research Reviews, 36, 88–104. https://doi.org/10.1016/j.arr.2017.03.004.

Article  PubMed  Google Scholar 

Hansson, O. (2021). Biomarkers for neurodegenerative diseases. Nature Medicine, 27(6), 954–963. https://doi.org/10.1038/s41591-021-01382-x.

Article  CAS  PubMed  Google Scholar 

Harrison, O. K., Guell, X., Klein-Flügge, M. C., & Barry, R. L. (2021). Structural and resting state functional connectivity beyond the cortex. Neuroimage, 240, 118379. https://doi.org/10.1016/j.neuroimage.2021.118379.

Article  PubMed  Google Scholar 

Horien, C., Greene, A. S., Constable, R. T., & Scheinost, D. (2020). Regions and connections: Complementary approaches to characterize Brain Organization and function. The Neuroscientist: A Review Journal Bringing Neurobiology Neurology and Psychiatry, 26(2), 117–133. https://doi.org/10.1177/1073858419860115.

Article  PubMed  Google Scholar 

Huang, L., Chen, K., Liu, Z., & Guo, Q. (2020). A conceptual Framework for Research on Cognitive Impairment with no dementia in memory clinic. Current Alzheimer Research, 17(6), 517–525. https://doi.org/10.2174/1567205017666200807193253.

Article  CAS  PubMed  Google Scholar 

Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., et al. (2009). Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer’s disease: Implications for sequence of pathological events in Alzheimer’s disease. Brain: A Journal of Neurology, 132(Pt 5), 1355–1365. https://doi.org/10.1093/brain/awp062.

Article  PubMed  Google Scholar 

Jagust, W. (2018). Imaging the evolution and pathophysiology of Alzheimer disease. Nature Reviews Neuroscience, 19(11), 687–700. https://doi.org/10.1038/s41583-018-0067-3.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Karran, E., & De Strooper, B. (2022). The amyloid hypothesis in Alzheimer disease: New insights from new therapeutics. Nature Reviews Drug Discovery, 21(4), 306–318. https://doi.org/10.1038/s41573-022-00391-w.

Article  CAS  PubMed  Google Scholar 

Levin, F., Jelistratova, I., Betthauser, T. J., Okonkwo, O., Johnson, S. C., Teipel, S. J., & Grothe, M. J. (2021). In vivo staging of regional amyloid progression in healthy middle-aged to older people at risk of Alzheimer’s disease. Alzheimer’s Research & Therapy, 13(1), 178. https://doi.org/10.1186/s13195-021-00918-0.

Article  CAS  Google Scholar 

Luo, X., Li, K., Zeng, Q., Huang, P., Jiaerken, Y., Qiu, T., et al. (2018). Decreased bilateral FDG-PET uptake and inter-hemispheric connectivity in Multi-Domain Amnestic mild cognitive impairment patients: A preliminary study. Frontiers in Aging Neuroscience, 10, 161. https://doi.org/10.3389/fnagi.2018.00161.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Luo, J., Agboola, F., Grant, E., Masters, C. L., Albert, M. S., Johnson, S. C., et al. (2020). Sequence of Alzheimer disease biomarker changes in cognitively normal adults: A cross-sectional study. Neurology, 95(23), e3104–e3116. https://doi.org/10.1212/WNL.0000000000010747.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mattsson, N., Palmqvist, S., Stomrud, E., Vogel, J., & Hansson, O. (2019). Staging β -Amyloid Pathology with amyloid Positron Emission Tomography. JAMA Neurology, 76(11), 1319. https://doi.org/10.1001/jamaneurol.2019.2214.

Article  PubMed  Google Scholar 

Murray, M. E., Lowe, V. J., Graff-Radford, N. R., Liesinger, A. M., Cannon, A., Przybelski, S. A., et al. (2015). Clinicopathologic and 11 C-Pittsburgh compound B implications of Thal amyloid phase across the Alzheimer’s disease spectrum. Brain: A Journal of Neurology, 138(Pt 5), 1370–1381. https://doi.org/10.1093/brain/awv050.

Article  PubMed  Google Scholar 

Neitzel, J., Franzmeier, N., Rubinski, A., Ewers, M., & Alzheimer’s Disease Neuroimaging Initiative (ADNI). (2019). Left frontal connectivity attenuates the adverse effect of entorhinal tau pathology on memory. Neurology, 93(4), e347–e357. https://doi.org/10.1212/WNL.0000000000007822.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Oh, H., & Jagust, W. J. (2013). Frontotemporal network connectivity during memory encoding is increased with aging and disrupted by beta-amyloid. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 33(47), 18425–18437. https://doi.org/10.1523/JNEUROSCI.2775-13.2013.

Article  CAS  PubMed  Google Scholar 

Palta, P., Rippon, B., Reitz, C., He, H., Sherwood, G., Ceballos, F., et al. (2020). Apolipoprotein E genotype and in vivo amyloid burden in middle-aged Hispanics. Neurology, 95(15), e2086–e2094. https://doi.org/10.1212/WNL.0000000000010707.

Article