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Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer's disease
Open accessAbstract
The entorhinal cortex has been implicated in the early stages of Alzheimer's disease, which is characterized by changes in the tau protein and in the cleaved fragments of the amyloid precursor protein (APP). We used a high-resolution functional magnetic resonance imaging (fMRI) variant that can map metabolic defects in patients and mouse models to address basic questions about entorhinal cortex pathophysiology. The entorhinal cortex is divided into functionally distinct regions, the medial entorhinal cortex (MEC) and the lateral entorhinal cortex (LEC), and we exploited the high-resolution capabilities of the fMRI variant to ask whether either of them was affected in patients with preclinical Alzheimer's disease. Next, we imaged three mouse models of disease to clarify how tau and APP relate to entorhinal cortex dysfunction and to determine whether the entorhinal cortex can act as a source of dysfunction observed in other cortical areas. We found that the LEC was affected in preclinical disease, that LEC dysfunction could spread to the parietal cortex during preclinical disease and that APP expression potentiated tau toxicity in driving LEC dysfunction, thereby helping to explain regional vulnerability in the disease.
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“the hippocampal region is important to short-term memory loss in AD and is the earliest region involved in the progression of the disease”
From AAVrh.10-Mediated APOE2 Central Nervous System Gene Therapy for APOE4-Associated Alzheimer's Disease (2018) · cites this paper as [40]
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Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
The Mouse Brain in Stereotaxic Coordinates
Paxinos, G. (2001) · Cited by 12,859
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
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056
N4ITK: Improved N3 Bias Correction
Tustison, N. J., Avants, B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2046908 · Cited by 6,413
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
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Research works printed but not linked: 2
- Kageyama, G.H. & Wong-Riley, M.T. Histochemical localization of cytochrome oxidase in the hippocampus: correlation with specific neuronal types and afferent pathways. Neuroscience 7, 2337–2361 (1982). · DOI
- Moreno, H., Hua, F., Brown, T. & Small, S. Longitudinal mapping of mouse cerebral blood volume with MRI. NMR Biomed. 19, 535–543 (2006). · DOI
Cited by
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De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990
Brain atrophy in Alzheimer’s Disease and aging
Pini, L., Pievani, M., Bocchetta, M., Altomare, D., Bosco, P., Cavedo, E., Galluzzi, S., Marizzoni, M., & Frisoni, G. B. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.002 · Cited by 836
Tau and neurodegenerative disease: the story so far
Iqbal, K., Liu, F., & Gong, C.-X. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.225 · Cited by 806
The role of adult hippocampal neurogenesis in brain health and disease
Toda, T., Parylak, S. L., Linker, S. B., & Gage, F. H. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0036-2 · Cited by 719
Multi-atlas segmentation of biomedical images: A survey
Iglesias, J. E., & Sabuncu, M. R. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.06.012 · Cited by 667
Sabogal-Guáqueta, A. M., Muñoz‐Manco, J. I., Ramírez‐Pineda, J. R., Lamprea, M. R., Osorio, E., & Cardona‐Gómez, G. P. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.01.027 · Cited by 453
Tau 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
Hanamsagar, R., Alter, M. D., Block, C. S., Sullivan, H., Bolton, J. L., & Bilbo, S. D. (2017) · Glia · doi:10.1002/glia.23176 · Cited by 384
Tau Aggregation and Its Interplay with Amyloid-β
Nisbet, R. M., Polanco, J.-C., Ittner, L. M., & Götz, J. (2015) · Acta Neuropathologica · doi:10.1007/s00401-014-1371-2 · Cited by 359
“AD [47].”
How Can Hearing Loss Cause Dementia?
Griffiths, T. D., Lad, M., Kumar, S., Holmes, E., McMurray, B., Maguire, E. A., Billig, A. J., & Sedley, W. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.003 · Cited by 389
Aggleton, J. P., Pralus, A., Nelson, A. J. D., & Hornberger, M. (2016) · Brain · doi:10.1093/brain/aww083 · Cited by 378
Enhancing dentate gyrus function with dietary flavanols improves cognition in older adults
Brickman, A. M., Khan, U., Provenzano, F. A., Yeung, L., SUZUKI, W. A., Schroeter, H., Wall, M. M., Sloan, R. P., & Small, S. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3850 · Cited by 354
Self-citationMulti-compartment microscopic diffusion imaging
Kaden, E., Kelm, N. D., Carson, R. P., Does, M. D., & Alexander, D. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.002 · Cited by 345
Axonally Synthesized ATF4 Transmits a Neurodegenerative Signal across Brain Regions
Baleriola, J., Walker, C. A., Jean, Y. Y., Crary, J. F., Troy, C. M., Nagy, P. L., & Hengst, U. (2014) · Cell · doi:10.1016/j.cell.2014.07.001 · Cited by 352
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology
Schmitz, T. W., Spreng, R. N., Initiative, T. A. D. N., Weiner, M. W., Aisen, P. S. S., Petersen, R. C., Jack, C. R., Jagust, W. J., Trojanowki, J. Q., Toga, A. W., et al. (2016) · Nature Communications · doi:10.1038/ncomms13249 · Cited by 345
Wang, M., Roussos, P., McKenzie, A., Zhou, X., Kajiwara, Y., Brennand, K. J., De Luca, G. C., Crary, J. F., Casaccia, P., Buxbaum, J. D., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0355-3 · Cited by 314
Saltmarche, A. E., Naeser, M. A., Ho, K. F., Hamblin, M. R., & Lim, L. (2017) · Photomedicine and Laser Surgery · doi:10.1089/pho.2016.4227 · Cited by 302
Hanamsagar, R., Alter, M. D., Block, C. L., Sullivan, H. K., Bolton, J. L., & Bilbo, S. D. (2017) · Glia · doi:10.1002/glia.23277 · Cited by 297
Neuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289
Entorhinal Tau Pathology, Episodic Memory Decline, and Neurodegeneration in Aging
Maaß, A., Lockhart, S. N., Harrison, T. M., Bell, R. K., Mellinger, T. J., Swinnerton, K. N., Baker, S. L., Rabinovici, G. D., & Jagust, W. J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2028-17.2017 · Cited by 298
VDAC1, mitochondrial dysfunction, and Alzheimer’s disease
Shoshan-Barmatz, V., Nahon-Crystal, E., Shteinfer-Kuzmine, A., & Gupta, R. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.03.010 · Cited by 286
Fu, H., Rodriguez, G. A., Herman, M., Emrani, S., Nahmani, E., Barrett, G., Figueroa, H. Y., Goldberg, E., Hussaini, S. A., & Duff, K. E. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.023 · Cited by 264
Self-citationShi, M., Chu, F., Zhu, F., & Zhu, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.870517 · Cited by 275
Jacobs, H. I. L., Hedden, T., Schultz, A. P., Sepulcre, J., Perea, R. D., Amariglio, R. E., Papp, K. V., Rentz, D. M., Sperling, R. A., & Johnson, K. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0070-z · Cited by 270
Functional subregions of the human entorhinal cortex
Maaß, A., Berron, D., Libby, L. A., Ranganath, C., & Düzel, E. (2015) · eLife · doi:10.7554/elife.06426 · Cited by 266
Li, P., Marshall, L., Oh, G., Jakubowski, J. L., Groot, D., He, Y., Wang, T., Petronis, A., & Labrie, V. (2019) · Nature Communications · doi:10.1038/s41467-019-10101-7 · Cited by 234
Tau-aggregation inhibitor therapy for Alzheimer's disease
Wischik, C. M., Harrington, C. R., & Storey, J. M. D. (2013) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.12.008 · Cited by 279
Brickman, A. M., Zahodne, L. B., Guzman, V. A., Narkhede, A., Meier, I. B., Griffith, E. Y., Provenzano, F. A., Schupf, N., Manly, J. J., Stern, Y., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.07.019 · Cited by 265
Self-citationEntorhinal cortex dysfunction in Alzheimer's disease
Igarashi, K. M. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.11.006 · Cited by 276
Tau in neurodegenerative disease
Gao, Y.-L., Wang, N., Sun, F.-R., Cao, X.-P., Zhang, W., & Yu, J.-T. (2018) · Annals of Translational Medicine · doi:10.21037/atm.2018.04.23 · Cited by 222
Retromer in Alzheimer disease, Parkinson disease and other neurological disorders
Small, S. A., & Petsko, G. A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3896 · Cited by 227
Self-citationHowett, D., Castegnaro, A., Krzywicka, K., Hagman, J., Marchment, D., Henson, R. N., Rio, M., King, J. A., Burgess, N., & Chan, D. (2019) · Brain · doi:10.1093/brain/awz116 · Cited by 243
Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse
Frère, S. G. A., & Slutsky, I. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.028 · Cited by 242
Exercise and Hippocampal Memory Systems
Voss, M. W., Soto, C., Yoo, S., Sodoma, M., Vivar, C., & van Praag, H. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.01.006 · Cited by 235
Reagh, Z. M., & Yassa, M. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1411250111 · Cited by 239
Neurogenesis in aging and age-related neurodegenerative diseases
Čulig, L., Chu, X., & Bohr, V. A. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101636 · Cited by 235
Functional topography of the human entorhinal cortex
Schröder, T. N., Haak, K. V., Jimenez, N. I. Z., Beckmann, C. F., & Doeller, C. F. (2015) · eLife · doi:10.7554/elife.06738 · Cited by 211
Integrating new findings and examining clinical applications of pattern separation
Leal, S. L., & Yassa, M. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0065-1 · Cited by 228
Modifiable Risk Factors for Alzheimer’s Disease
Edwards III, G. A., Gamez, N., Escobedo Jr., G., Calderon, O., & Moreno-Gonzalez, I. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00146 · Cited by 253
Pro-Resolving Lipid Mediators Improve Neuronal Survival and Increase Aβ42 Phagocytosis
Zhu, M., Wang, X., Hjorth, E., Colas, R. A., Schroeder, L., Granholm, A.-C., Serhan, C. N., & Schultzberg, M. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9544-0 · Cited by 204
Neurocognitive Aging and the Hippocampus across Species
Leal, S. L., & Yassa, M. A. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.10.003 · Cited by 221
Reagh, Z. M., Noche, J. A., Tustison, N. J., Delisle, D., Murray, E. A., & Yassa, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.039 · Cited by 212
Neurogenetic contributions to amyloid beta and tau spreading in the human cortex
Sepulcre, J., Grothe, M. J., Uquillas, F. D., Ortiz-Terán, L., Diez, I. P., Yang, H., Jacobs, H. I. L., Hanseeuw, B. J., Li, Q., Fakhri, G. E., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0206-4 · Cited by 195
Left–right dissociation of hippocampal memory processes in mice
Shipton, O. A., El-Gaby, M., Apergis‐Schoute, J., Deisseroth, K. A., Bannerman, D. M., Paulsen, O., & Kohl, M. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405648111 · Cited by 193
Snyder, B., Shell, B., Cunningham, J. T., & Cunningham, R. L. (2017) · Physiological Reports · doi:10.14814/phy2.13258 · Cited by 190
Amyloid assembly and disassembly
Chuang, E., Hori, A. M., Hesketh, C. D., & Shorter, J. (2018) · Journal of Cell Science · doi:10.1242/jcs.189928 · Cited by 188
Nuriel, T., Angulo, S. L., Khan, U., Ashok, A., Chen, Q., Figueroa, H. Y., Emrani, S., Liu, L., Herman, M., Barrett, G., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01444-0 · Cited by 181
Self-citationAAVrh.10-Mediated APOE2 Central Nervous System Gene Therapy for APOE4-Associated Alzheimer's Disease
Rosenberg, J. B., Kaplitt, M. G., De, B. P., Chen, A., Flagiello, T., Salami, C., Pey, E., Zhao, L., Ricart Arbona, R. J., Monette, S., et al. (2018) · Human Gene Therapy Clinical Development · doi:10.1089/humc.2017.231 · Cited by 176
Disrupted Place Cell Remapping and Impaired Grid Cells in a Knockin Model of Alzheimer's Disease
Jun, H., Bramian, A., Soma, S., Saito, T., Saido, T. C., & Igarashi, K. M. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.023 · Cited by 170
Endosomal traffic jams represent a pathogenic hub and therapeutic target in Alzheimer’s disease
Small, S. A., Simoes-Spassov, S., Mayeux, R., & Petsko, G. A. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.08.003 · Cited by 168
Self-citationCastillo, E., Leon, J., Mazzei, G., Abolhassani, N., Haruyama, N., Saito, T., Saido, T., Hokama, M., Iwaki, T., Ohara, T., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17999-3 · Cited by 158
Cortical tau deposition follows patterns of entorhinal functional connectivity in aging
Adams, J. N., Maass, A., Harrison, T. M., Baker, S. L., & Jagust, W. J. (2019) · eLife · doi:10.7554/elife.49132 · Cited by 160
Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration
Fernández‐Cabello, S., Kronbichler, M., Dijk, K. R. A. V., Goodman, J. A., Spreng, R. N., Schmitz, T. W., & Initiative, O. B. O. T. A. D. N. (2020) · Brain · doi:10.1093/brain/awaa012 · Cited by 159
Age-related functional changes in domain-specific medial temporal lobe pathways
Berron, D., Neumann, K., Maaß, A., Schütze, H., Fließbach, K., Kiven, V., Jessen, F., Sauvage, M. M., Kumaran, D., & Düzel, E. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.030 · Cited by 158
Removing inter-subject technical variability in magnetic resonance imaging studies
Fortin, J., Sweeney, E. M., Muschelli, J., Crainiceanu, C. M., & Shinohara, R. T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.036 · Cited by 158
Sabogal-Guáqueta, A. M., Osorio, E., & Cardona-Gómez, G. P. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.11.002 · Cited by 148
Millan, M. J. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.03.004 · Cited by 151
Fortea, J., Vilaplana, E., Alcolea, D. A., Carmona‐Iragui, M., Sánchez‐Saudinós, M., Sala, I., Antón‐Aguirre, S., González‐Ortiz, S., Medrano, S., Pegueroles, J., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24186 · Cited by 140
Lebois, E. P., Thorn, C. A., Edgerton, J. R., Popiolek, M., & Xi, S. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.11.018 · Cited by 145
Alpha-2 macroglobulin in Alzheimer’s disease: a marker of neuronal injury through the RCAN1 pathway
Varma, V. R., Varma, S., An, Y., Hohman, T. J., Seddighi, S., Casanova, R., Beri, A., Dammer, E. B., Seyfried, N. T., Pletniková, O., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.206 · Cited by 146
Stangl, M., Achtzehn, J., Huber, K., Dietrich, C., Tempelmann, C., & Wolbers, T. (2018) · Current Biology · doi:10.1016/j.cub.2018.02.038 · Cited by 145
Manap, A. S. A., Vijayabalan, S., Madhavan, P., Chia, Y. Y., Arya, A., Wong, E. H., Rizwan, F., Bindal, U., & Koshy, S. (2019) · Drug Target Insights · doi:10.1177/1177392819866412 · Cited by 164
Initiative, A. D. N., Pascoal, T. A., Mathotaarachchi, S. S., Mohades, S. T., Benedet, A. L., Chung, C.-O., Shin, M., Wang, S., Beaudry, T., Kang, M. S., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.37 · Cited by 137
Iturria‐Medina, Y., Carbonell, F., Sotero, R. C., Chouinard-Decorte, F., & Evans, A. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.058 · Cited by 130
Petrache, A. L., Rajulawalla, A., Shi, A., Wetzel, A., Saito, T., Saido, T. C., Harvey, K., & Ali, A. B. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz016 · Cited by 124
Lopez‐Rojas, J., de Solis, C. A., Leroy, F., Kandel, E. R., & Siegelbaum, S. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.028 · Cited by 133
Ren, Y. L., Savadlou, A., Park, S., Siska, P., Epp, J. R., & Sargin, D. (2023) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2023.101061 · Cited by 137
López, M. E., Bruña, R., Aurtenetxe, S., Pineda‐Pardo, J. A., Marcos, A., Arrazola, J., García, A. I. R., Carrasco, P. M., Bajo, R., & Maestú, F. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0964-14.2014 · Cited by 122
Kazim, S. F., & Iqbal, K. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0119-y · Cited by 126
Hoffman, J. L., Faccidomo, S., Kim, M., Taylor, S. M., Agoglia, A. E., May, A. M., Smith, E. N., Wong, L. C., & Hodge, C. W. (2019) · International review of neurobiology · doi:10.1016/bs.irn.2019.10.017 · Cited by 113
The Cognitive Control of Eating and Body Weight: It’s More Than What You “Think”
Davidson, T. L., Jones, S., Roy, M., & Stevenson, R. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00062 · Cited by 125
Tau deposition is associated with functional isolation of the hippocampus in aging
Harrison, T. M., Maaß, A., Adams, J. N., Du, R., Baker, S. L., & Jagust, W. J. (2019) · Nature Communications · doi:10.1038/s41467-019-12921-z · Cited by 113
Baloni, P., Arnold, M., Buitrago, L., Nho, K. T., Moreno, H., Huynh, K., Brauner, B., Louie, G., Kueider‐Paisley, A., Suhre, K., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-04011-6 · Cited by 117
Aging drives cerebrovascular network remodeling and functional changes in the mouse brain
Bennett, H. C., Zhang, Q., Wu, Y.-T., Manjila, S. B., Chon, U., Shin, D., Vanselow, D. J., Pi, H.-J., Drew, P. J., & Kim, Y. (2024) · Nature Communications · doi:10.1038/s41467-024-50559-8 · Cited by 115
Longitudinal brain structural changes in preclinical Alzheimer's disease
Pegueroles, J., Vilaplana, E., Montal, V., Sampedro, F., Alcolea, D. A., Carmona‐Iragui, M., Clarimón, J., Blesa, R., Lleó, A., Fortea, J., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.08.010 · Cited by 106
Olsen, R. K., Yeung, L., Noly‐Gandon, A., D’Angelo, M. C., Kacollja, A., Smith, V. M., Ryan, J. D., & Barense, M. D. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.025 · Cited by 113
Liu, Y., Tan, Y., Cheng, G., Ni, Y., Xie, A., Zhu, X., Yin, C., Zhang, Y., & Chen, T. (2024) · Advanced Materials · doi:10.1002/adma.202307081 · Cited by 116
Chiarini, A., Armato, U., Gardenal, E., Gui, L., & Prà, I. D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00217 · Cited by 109
Greater loss of object than spatial mnemonic discrimination in aged adults
Reagh, Z. M., Ho, H. D., Leal, S. L., Noche, J. A., Chun, A. P., Murray, E. A., & Yassa, M. A. (2015) · Hippocampus · doi:10.1002/hipo.22562 · Cited by 113
Oh, H., Madison, C. M., Baker, S. L., Rabinovici, G. D., & Jagust, W. J. (2016) · Brain · doi:10.1093/brain/aww108 · Cited by 113
Neuroinflammation in Alzheimer’s Disease: from Pathogenesis to a Therapeutic Target
Pimplikar, S. W. (2014) · Journal of Clinical Immunology · doi:10.1007/s10875-014-0032-5 · Cited by 106
Ritchie, K. A., Ropacki, M. T., Albala, B., Harrison, J., Kaye, J. A., Kramer, J. H., RANDOLPH, C. C., & Ritchie, C. W. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.07.154 · Cited by 111
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Billig, A. J., Lad, M., Sedley, W., & Griffiths, T. D. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102326 · Cited by 92
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Metadata
- Authors
- Khan, U. A., Liu, L., Provenzano, F. A., Berman, D. E., Profaci, C. P., Sloan, R., Mayeux, R., Duff, K. E., & Small, S. A.
- Affiliations
- SUNY Downstate Health Sciences University (US)
- Columbia University (US)
- Corresponding author
- Duff, Karen E
- Small, Scott A
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2013-12-22
- Volume
- 17
- Issue
- 2
- Pages
- 304-311
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4044925
- OpenAlex
- W1966100017
- Cited by
- 561
- References
- 60
- Citations by year
- 2026: 23 · 2025: 33 · 2024: 38 · 2023: 52 · 2022: 56 · 2021: 48 · 2020: 51 · 2019: 54 · 2018: 59 · 2017: 54 · 2016: 36 · 2015: 31 · 2014: 23 · 2013: 1
- FWCI
- 21.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Ministerio de Economía y Competitividad
- National Institute on Aging (R01AG034618, R01AG037212, P01AG007232, AG 07232, AG025161, R01AG025161, P50AG008702, AG037212, AG034618)
- National Heart, Lung, and Blood Institute (R01HL094423, HL094423)
- National Institute of Neurological Disorders and Stroke (NS074874, R01NS074874)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007430)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- preclinical Alzheimer's disease, lateral entorhinal cortex, medial entorhinal cortex, amyloid precursor protein, tau protein, parietal cortex, regional vulnerability, mouse models of Alzheimer's disease
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Analysis of Variance, Animals, Brain Mapping, Cognition Disorders, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Mice, Transgenic, Mutation, Nerve Tissue Proteins, Oxygen, Cortical Spreading Depression, Gene Expression, Amyloid beta-Peptides, Amyloid beta-Protein Precursor, tau Proteins, Disease Progression, Entorhinal Cortex, Mice
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