The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
What Happens with the Circuit in Alzheimer's Disease in Mice and Humans?
Abstract
A major mystery of many types of neurological and psychiatric disorders, such as Alzheimer's disease (AD), remains the underlying, disease-specific neuronal damage. Because of the strong interconnectivity of neurons in the brain, neuronal dysfunction necessarily disrupts neuronal circuits. In this article, we review evidence for the disruption of large-scale networks from imaging studies of humans and relate it to studies of cellular dysfunction in mouse models of AD. The emerging picture is that some forms of early network dysfunctions can be explained by excessively increased levels of neuronal activity. The notion of such neuronal hyperactivity receives strong support from in vivo and in vitro cellular imaging and electrophysiological recordings in the mouse, which provide mechanistic insights underlying the change in neuronal excitability. Overall, some key aspects of AD-related neuronal dysfunctions in humans and mice are strikingly similar and support the continuation of such a translational strategy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Tg (5xFAD) neurons show increased synaptic activity, as illustrated by higher amplitude and frequency, compared with WT.
“our Tg (5xFAD) neurons showed increased synaptic activity, as illustrated by higher amplitude and frequency, which is considered as a sign of hyperexcitability.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
RETRACTED ARTICLE: A specific amyloid-β protein assembly in the brain impairs memory
Lesné, S., Koh, M. T., Kotilinek, L., Kayed, R., Glabe, C. G., Yang, A., Gallagher, M., & Ashe, K. H. (2006) · Nature · doi:10.1038/nature04533 · Cited by 2,769 · cited 1×
“…pool of low-molecular-weight (LMW) oligomers, including dimers, trimers, and Aβ*56, are more potent in producing such synaptic and cognitive impairments than are high-molecular-weight oligomers (Lesne et al. 2006, Yang et al. 2017), which are much more prevalent in the AD brain (Yang et al. 2017).”
BackgroundRetractedMcKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
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
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
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
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Walsh, D. M., Klyubin, I., Fadeeva, J. V., Cullen, W. K., Anwyl, R., Wolfe, M. S., Rowan, M. J., & Selkoe, D. J. (2002) · Nature · doi:10.1038/416535a · Cited by 4,291
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Diffusible, nonfibrillar ligands derived from Aβ 1–42 are potent central nervous system neurotoxins
Lambert, M. P., Barlow, A. K., Chromy, B. A., Edwards, C., Freed, R., Liosatos, M., Morgan, T. E., Rozovsky, I., Trommer, B., Viola, K. L., et al. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.11.6448 · Cited by 3,506
Neuropathological alterations in Alzheimer disease
Serrano-Pozo, A., Frosch, M. P., Masliah, E., & Hyman, B. T. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006189 · Cited by 3,345
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343 · cited 2×
“Hong et al. (2016) showed, for example, that injections of LMW dimers into the ventricles of wild-type mice were sufficient to induce substantial synapse loss within 3 days.”
BackgroundBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140
Decreased Clearance of CNS β-Amyloid in Alzheimer’s Disease
Mawuenyega, K. G., Sigurdson, W., Ovod, V., Munsell, L., Kasten, T., Morris, J. C., Yarasheski, K. E., & Bateman, R. J. (2010) · Science · doi:10.1126/science.1197623 · Cited by 2,078
Jack, C. R., Albert, M. S., Knopman, D. S., McKhann, G. M., Sperling, R. A., Carrillo, M. C., Thies, B., & Phelps, C. H. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.004 · Cited by 2,042
Self-citationBoosting slow oscillations during sleep potentiates memory
Marshall, L., Helgadóttir, H., Mölle, M., & Born, J. (2006) · Nature · doi:10.1038/nature05278 · Cited by 1,792
Shankar, G. M., Bloodgood, B. L., Townsend, M., Walsh, D. M., Selkoe, D. J., & Sabatini, B. L. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4970-06.2007 · Cited by 1,592
Gamma frequency entrainment attenuates amyloid load and modifies microglia
Iaccarino, H. F., Singer, A. C., Martorell, A. J., Rudenko, A., Gao, F., Gillingham, T. Z., Mathys, H., Seo, J., Kritskiy, O., Abdurrob, F., et al. (2016) · Nature · doi:10.1038/nature20587 · Cited by 1,328
Patterns of Brain Activation in People at Risk for Alzheimer's Disease
Bookheimer, S. Y., Strojwas, M. H., Cohen, M. S., Saunders, A. M., Pericak-Vance, M. A., Mazziotta, J. C., & Small, G. W. (2000) · New England Journal of Medicine · doi:10.1056/nejm200008173430701 · Cited by 1,328
Uddin, L. Q., Clare Kelly, A. M., Biswal, B. B., Xavier Castellanos, F., & Milham, M. P. (2009) · Human Brain Mapping · doi:10.1002/hbm.20531 · Cited by 1,135
Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer’s Disease
Busche, M. A., Eichhoff, G., Adelsberger, H., Abramowski, D., Wiederhold, K.-H., Haass, C., Staufenbiel, M., Konnerth, A., & Garaschuk, O. (2008) · Science · doi:10.1126/science.1162844 · Cited by 1,125
Self-citationPlaque-independent disruption of neural circuits in Alzheimer’s disease mouse models
Hsia, A. Y., Masliah, E., McConlogue, L., Yu, G.-Q., Tatsuno, G., Hu, K., Kholodenko, D., Malenka, R. C., Nicoll, R. A., & Mucke, L. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.6.3228 · Cited by 1,123
Zhao, Q.-F., Tan, L., Wang, H.-F., Jiang, T., Tan, M.-S., Tan, L., Xu, W., Li, J.-Q., Wang, J., Lai, T.-J., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.09.069 · Cited by 916
Palmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., Blennow, K., Landau, S., Jagust, W., & Hansson, O. (2017) · Nature Communications · doi:10.1038/s41467-017-01150-x · Cited by 911
Sleep Quality and Preclinical Alzheimer Disease
Ju, Y.-E. S., McLeland, J. S., Toedebusch, C. D., Xiong, C., Fagan, A. M., Duntley, S. P., Morris, J. C., & Holtzman, D. M. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.2334 · Cited by 744
Picomolar Amyloid-β Positively Modulates Synaptic Plasticity and Memory in Hippocampus
Puzzo, D., Privitera, L., Leznik, E., Fà, M., Staniszewski, A., Palmeri, A., & Arancio, O. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2692-08.2008 · Cited by 740
Heterogeneity of CNS myeloid cells and their roles in neurodegeneration
Prinz, M., Priller, J., Sisodia, S. S., & Ransohoff, R. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2923 · Cited by 674
Not just amyloid: physiological functions of the amyloid precursor protein family
Müller, U. C., Deller, T., & Korte, M. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.29 · Cited by 634
Sleep-dependent learning: A nap is as good as a night
Mednick, S., Nakayama, K., & Stickgold, R. (2003) · Nature Neuroscience · doi:10.1038/nn1078 · Cited by 594
Roh, J. H., Huang, Y., Bero, A. W., Kasten, T., Stewart, F. R., Bateman, R. J., & Holtzman, D. M. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004291 · Cited by 563
Spires, T. L., Meyer-Luehmann, M., Stern, E. A., McLean, P. J., Skoch, J., Nguyen, P. T., Bacskai, B. J., & Hyman, B. T. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1879-05.2005 · Cited by 550 · cited 2×
“In later stages of AD, synapse loss appears to be maximal at locations near amyloid plaques (Spires et al. 2005).”
BackgroundSource modeling sleep slow waves
Murphy, M., Riedner, B. A., Huber, R., Massimini, M., Ferrarelli, F., & Tononi, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807933106 · Cited by 454
Ooms, S., Overeem, S., Besse, K., Rikkert, M. O., Verbeek, M., & Claassen, J. A. H. R. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1173 · Cited by 438
η-Secretase processing of APP inhibits neuronal activity in the hippocampus
Willem, M., Tahirovic, S., Busche, M. A., Ovsepian, S. V., Chafai, M., Kootar, S., Hornburg, D., Evans, L. D. B., Moore, S., Daria, A., et al. (2015) · Nature · doi:10.1038/nature14864 · Cited by 398 · cited 2×
“In addition to Aβ, other cleavage products of APP, such as the APP intracellular domain, the soluble APP, and eta-amyloid (Aη), might play a role in AD (Müller et al. 2008, 2017; Willem et al. 2015).”
BackgroundSelf-citationSynaptic and neuritic alterations during the progression of Alzheimer's disease
Masliah, E., Mallory, M., Hansen, L., Richard, D., Alford, M., & Terry, R. (1994) · Neuroscience Letters · doi:10.1016/0304-3940(94)90121-x · Cited by 370
Quantitative NMR measurements of hippocampal atrophy in Alzheimer's disease
Seab, J. P., Jagust, W. J., Wong, S. T. S., Roos, M. S., Reed, B. R., & Budinger, T. F. (1988) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910080210 · Cited by 364
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348
Klyubin, I., Betts, V., Welzel, A. T., Blennow, K., Zetterberg, H., Wallin, A., Lemere, C. A., Cullen, W. K., Peng, Y., Wisniewski, T., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5161-07.2008 · Cited by 321
Šišková, Z., Justus, D., Kaneko, H., Friedrichs, D., Henneberg, N., Beutel, T., Pitsch, J., Schoch, S., Becker, A., von der Kammer, H., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.024 · Cited by 320
Impaired default network functional connectivity in autosomal dominant Alzheimer disease
Chhatwal, J. P., Schultz, A. P., Johnson, K., Benzinger, T. L. S., Jack, C., Ances, B. M., Sullivan, C. A., Salloway, S. P., Ringman, J. M., Koeppe, R. A., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a1aafe · Cited by 179
Self-citationFogel, H., Frere, S., Segev, O., Bharill, S., Shapira, I., Gazit, N., O’Malley, T., Slomowitz, E., Berdichevsky, Y., Walsh, D. M., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.04.024 · Cited by 138 · cited 1×
“Even though Aβ can interact with multiple receptors and proteins at the synapse, other mechanisms, such as impaired glutamate homeostasis (Fogel et al. 2014, Kamenetz et al. 2003, Li et al. 2009), may shift the E/I balance toward excitation.”
BackgroundMicroglial Malfunction: The Third Rail in the Development of Alzheimer's Disease
Mhatre, S. D., Tsai, C. A., Rubin, A. J., James, M. L., & Andreasson, K. I. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.08.006 · Cited by 134
Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer’s disease
Myers, N., Pasquini, L., Göttler, J., Grimmer, T., Koch, K., Ortner, M., Neitzel, J., Mühlau, M., Förster, S., Kurz, A., et al. (2014) · Brain · doi:10.1093/brain/awu103 · Cited by 132
BACE inhibition-dependent repair of Alzheimer’s pathophysiology
Keskin, A. D., Kekuš, M., Adelsberger, H., Neumann, U., Shimshek, D. R., Song, B., Zott, B., Peng, T., Förstl, H., Staufenbiel, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708106114 · Cited by 125
Self-citationHippocampal activation is associated with longitudinal amyloid accumulation and cognitive decline
Leal, S. L., Landau, S. M., Bell, R. K., & Jagust, W. J. (2017) · eLife · doi:10.7554/elife.22978 · Cited by 117
Altered deactivation in individuals with genetic risk for Alzheimer's disease
Persson, J., Lind, J., Larsson, A., Ingvar, M., Sleegers, K., Van Broeckhoven, C., Adolfsson, R., Nilsson, L.-G., & Nyberg, L. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.01.026 · Cited by 102 · cited 1×
“Indeed, deactivation deficits are already present in cognitively normal APOE ε4 carriers (Persson et al. 2008, Pihlajamäki et al. 2010) as well as in subjects with Aβ plaques but without cognitive impairment (Sperling et al. 2009).”
BackgroundBai, F., Watson, D. R., Shi, Y., Wang, Y., Yue, C., YuhuanTeng, Wu, D., Yuan, Y., & Zhang, Z. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024271 · Cited by 85
Flagged first, then by citations
Research works printed but not linked: 124
- 10.1001/archneur.64.10.1482 · DOI
- Alzheimer A, 1907, Allg. Z. Psychiatr. Phys.-Gerichtl. Med., 64, 146
- 10.1002/ca.980080612 · DOI · Paper page
- 10.1186/s13024-017-0169-9 · DOI
- 10.1016/j.nicl.2015.02.009 · DOI
- 10.1016/j.neuron.2012.03.023 · DOI
- 10.1523/JNEUROSCI.6500-10.2011 · DOI · Paper page
- 10.1038/nn.2801 · DOI · Paper page
- 10.1016/j.neurobiolaging.2012.10.028 · DOI
- 10.1016/j.neuroscience.2014.11.051 · DOI
- 10.1212/WNL.0000000000004059 · DOI
- 10.1073/pnas.1206171109 · DOI · Paper page
- 10.1038/nn.4163 · DOI
- 10.1038/nn.4137 · DOI
- 10.1002/bies.201500004 · DOI · Paper page
- 10.1098/rstb.2015.0429 · DOI · Paper page
- 10.3233/JAD-130098 · DOI
- 10.1016/j.neuron.2005.10.028 · DOI · Paper page
- 10.1016/j.neuroscience.2005.01.011 · DOI · Paper page
- 10.1038/nn.2709 · DOI · Paper page
- 10.1016/j.neurobiolaging.2011.06.024 · DOI
- 10.1016/j.neuroimage.2004.07.031 · DOI
- 10.1006/neur.1996.0056 · DOI · Paper page
- 10.1212/01.wnl.0000256697.20968.d7 · DOI
- 10.1212/01.wnl.0000171450.97464.49 · DOI · Paper page
- 10.1038/nrn2762 · DOI · Paper page
- 10.3233/JAD-161120 · DOI
- 10.1038/nn.3376 · DOI
- 10.1093/brain/awr066 · DOI
- 10.1016/S1474-4422(14)70090-0 · DOI · Paper page
- 10.1146/annurev-psych-010416-044131 · DOI · Paper page
- 10.1016/0197-4580(80)90005-6 · DOI
- 10.1016/S0166-4328(00)00177-7 · DOI · Paper page
- 10.1001/jamaneurol.2013.3263 · DOI
- 10.1152/jn.2001.85.2.708 · DOI
- 10.1073/pnas.0308627101 · DOI · Paper page
- 10.1038/ncomms1783 · DOI
- 10.1523/JNEUROSCI.3189-09.2009 · DOI · Paper page
- 10.1016/j.neuron.2017.11.020 · DOI · Paper page
- 10.2174/156720512800107609 · DOI
- 10.1016/j.neuron.2006.10.035 · DOI · Paper page
- 10.1001/archneurol.2011.235 · DOI
- 10.1093/brain/awv007 · DOI
- 10.1073/pnas.0600948103 · DOI · Paper page
- 10.1016/j.clinph.2004.01.001 · DOI
- 10.1073/pnas.1017033108 · DOI · Paper page
- 10.1002/ana.24546 · DOI · Paper page
- 10.1093/brain/awv338 · DOI
- 10.1016/S0896-6273(03)00124-7 · DOI · Paper page
- 10.1126/science.1180962 · DOI · Paper page
- 10.1371/journal.pone.0170275 · DOI
- 10.1016/j.sleep.2012.02.003 · DOI · Paper page
- 10.1002/ana.20009 · DOI · Paper page
- 10.1073/pnas.0811698106 · DOI · Paper page
- 10.1038/npp.2009.207 · DOI
- 10.1016/j.neuron.2008.06.008 · DOI · Paper page
- 10.1126/science.1169096 · DOI · Paper page
- 10.1523/JNEUROSCI.0260-17.2017 · DOI
- 10.1016/S0969-9961(03)00079-2 · DOI · Paper page
- 10.1016/j.neuron.2009.05.012 · DOI · Paper page
- 10.1016/j.cub.2016.01.070 · DOI
- 10.1001/jamaneurol.2014.2510 · DOI
- 10.5665/sleep.2802 · DOI · Paper page
- 10.1001/jamaneurol.2013.4215 · DOI
- 10.1093/cercor/bhs410 · DOI
- 10.1073/pnas.1200506109 · DOI
- 10.1016/S0002-9440(10)65184-X · DOI · Paper page
- 10.1073/pnas.2235925100 · DOI · Paper page
- 10.1038/nm.3734 · DOI
- 10.1038/nn.4035 · DOI · Paper page
- 10.1093/cercor/bht188 · DOI
- 10.1523/JNEUROSCI.3127-12.2013 · DOI
- 10.1073/pnas.0706818105 · DOI
- 10.1093/cercor/bhr255 · DOI
- 10.1007/s00259-015-3228-x · DOI
- 10.1016/j.pneurobio.2008.05.002 · DOI
- 10.1186/s13024-015-0033-8 · DOI · Paper page
- 10.1016/j.neuron.2013.03.006 · DOI · Paper page
- 10.1212/WNL.0b013e3181e3966e · DOI
- 10.1016/j.neuron.2007.07.025 · DOI · Paper page
- 10.1038/nrn.2016.141 · DOI · Paper page
- 10.1002/ana.20653 · DOI
- 10.1016/j.neuron.2004.10.007 · DOI · Paper page
- 10.1007/s00401-015-1513-1 · DOI
- 10.1097/WAD.0b013e3181a785c9 · DOI
- 10.1002/ana.22105 · DOI
- 10.1038/nature17172 · DOI
- 10.1038/nn.3199 · DOI · Paper page
- 10.1073/pnas.1121081109 · DOI · Paper page
- 10.1016/j.neuroimage.2014.05.027 · DOI
- 10.1016/j.neurobiolaging.2014.10.034 · DOI
- 10.1001/archneurol.2009.130 · DOI
- 10.1523/JNEUROSCI.3987-10.2010 · DOI
- 10.1016/j.biopsych.2009.08.024 · DOI · Paper page
- 10.1016/S1053-8119(03)00391-4 · DOI
- 10.1007/s12017-009-8109-7 · DOI
- 10.1016/j.neuron.2009.07.003 · DOI · Paper page
- Spira AP, 2013, JAMA Neurol, 70, 1537
- 10.1212/WNL.0000000000004171 · DOI
- 10.1038/nn.4119 · DOI · Paper page
- 10.1016/j.neuroscience.2005.10.029 · DOI · Paper page
- 10.1523/JNEUROSCI.13-08-03252.1993 · DOI · Paper page
- 10.1212/WNL.0000000000001575 · DOI
- 10.1073/pnas.0507774103 · DOI · Paper page
- 10.1002/ana.410300410 · DOI · Paper page
- 10.1212/WNL.58.12.1791 · DOI · Paper page
- 10.1523/JNEUROSCI.4227-13.2014 · DOI
- 10.1038/nn.2253 · DOI · Paper page
- 10.1016/j.cell.2012.02.046 · DOI · Paper page
- 10.1002/ana.24794 · DOI · Paper page
- 10.1016/j.neuroimage.2005.12.033 · DOI
- 10.1002/hbm.22234 · DOI
- 10.3233/JAD-161213 · DOI
- 10.1038/nn.2476 · DOI · Paper page
- 10.1097/WAD.0b013e3181e30846 · DOI
- 10.1017/S135561771200001X · DOI
- 10.1523/JNEUROSCI.1744-05.2005 · DOI
- 10.1126/science.8036517 · DOI · Paper page
- 10.1016/j.expneurol.2014.12.008 · DOI
- 10.1523/JNEUROSCI.1698-16.2016 · DOI · Paper page
- Yassa MA, 2011, Hippocampus, 21, 968, 10.1002/hipo.20808 · DOI · Paper page
- 10.1523/JNEUROSCI.2531-15.2016 · DOI
- 10.1126/science.1077775 · DOI
- 10.1016/j.jalz.2008.04.006 · DOI
Cited by
Sorted by citations
Brain energy rescue: an emerging therapeutic concept for neurodegenerative disorders of ageing
Cunnane, S. C., Trushina, E., Morland, C., Prigione, A., Casadesus, G., Andrews, Z. B., Beal, M. F., Bergersen, L. H., Brinton, R. D., de la Monte, S., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0072-x · Cited by 1,003
A vicious cycle of β amyloid−dependent neuronal hyperactivation
Zott, B., Simon, M. M., Hong, W., Unger, F., Chen-Engerer, H.-J., Frosch, M. P., Sakmann, B., Walsh, D. M., & Konnerth, A. (2019) · Science · doi:10.1126/science.aay0198 · Cited by 640
Self-citationTau impairs neural circuits, dominating amyloid-β effects, in Alzheimer models in vivo
Busche, M. A., Wegmann, S., Dujardin, S., Commins, C., Schiantarelli, J., Klickstein, N., Kamath, T. V., Carlson, G. A., Nelken, I., & Hyman, B. T. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0289-8 · Cited by 413
Self-citationJeremic, D., Jiménez-Díaz, L., & Navarro-López, J. D. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101496 · Cited by 306
Harris, S. S., Wolf, F., De Strooper, B., & Busche, M. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.005 · Cited by 161
Self-citationAstroglial Calcium Signaling in Aging and Alzheimer's Disease
Verkhratsky, A. (2019) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a035188 · Cited by 99
Piccialli, I., Tedeschi, V., Caputo, L., D’Errico, S., Ciccone, R., De Feo, V., Secondo, A., & Pannaccione, A. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.876614 · Cited by 73
An Unbalanced Synaptic Transmission: Cause or Consequence of the Amyloid Oligomers Neurotoxicity?
Sciaccaluga, M., Megaro, A., Bellomo, G., Ruffolo, G., Romoli, M., Palma, E., & Costa, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115991 · Cited by 70
Pilat, D., Paumier, J.-M., García-González, L., Louis, L., Stephan, D., Manrique, C., Khrestchatisky, M., Di Pasquale, E., Baranger, K., & Rivera, S. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02407-z · Cited by 28
Lomoio, S., Pandey, R. S., Rouleau, N., Menicacci, B., Kim, W., Cantley, W. L., Haydon, P. G., Bennett, D. A., Young-Pearse, T. L., Carter, G. W., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02147-3 · Cited by 25
Pathogenesis, Animal Models, and Drug Discovery of Alzheimer’s Disease
Xia, Z.-D., Ma, R.-X., Wen, J.-F., Zhai, Y.-F., Wang, Y.-Q., Wang, F.-Y., Liu, D., Zhao, X.-L., Sun, B., Jia, P., et al. (2023) · Journal of Alzheimer's Disease · doi:10.3233/jad-230326 · Cited by 19
Mulero-Franco, J., Jimenez-Herrera, R., Contreras, A., Djebari, S., Jiménez-Díaz, L., & Navarro-López, J. D. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118247 · Cited by 4
Metadata
- Authors
- Zott, B., Busche, M. A., Sperling, R. A., & Konnerth, A.
- Affiliations
- Institute of Neuroscience, Technical University of Munich, 80802 Munich, Germany;
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2018-07-08
- Volume
- 41
- Issue
- 1
- Pages
- 277-297
- ISSN
- 0147-006X
- 1545-4126
- PMC
- PMC6571139
- Cited by
- 221
- References
- 49
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review