Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD
Open accessAbstract
OBJECTIVE: To use fMRI to investigate whether hippocampal and entorhinal activation during learning is altered in the earliest phase of mild cognitive impairment (MCI). METHODS: Three groups of older individuals were studied: 10 cognitively intact controls, 9 individuals at the mild end of the spectrum of MCI, and 10 patients with probable Alzheimer disease (AD). Subjects performed a face-name associative encoding task during fMRI scanning, and were tested for recognition of stimuli afterward. Data were analyzed using a functional-anatomic method in which medial temporal lobe (MTL) regions of interest were identified from each individual's structural MRI, and fMRI activation was quantified within each region. RESULTS: Significantly greater hippocampal activation was present in the MCI group compared to controls; there were no differences between these two groups in hippocampal or entorhinal volumes. In contrast, the AD group showed hippocampal and entorhinal hypoactivation and atrophy in comparison to controls. The subjects with MCI performed similarly to controls on the fMRI recognition memory task; patients with AD exhibited poorer performance. Across all 29 subjects, greater mean entorhinal activation was found in the subgroup of 13 carriers of the APOE epsilon4 allele than in the 16 noncarriers. CONCLUSIONS: The authors hypothesize that there is a phase of increased medial temporal lobe activation early in the course of prodromal Alzheimer disease followed by a subsequent decrease as the disease progresses.
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
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?
Individuals with MCI display increased hippocampal activity during memory tasks, which correlates with poor memory performance.
“Individuals with MCI display increased hippocampal activity during memory tasks, which correlates with poor memory performance (Dickerson et al., 2005).”
From APOE4 reduces hippocampal expression of phosphoglycerate kinase 1 and sodium potassium pump to enhance seizure susceptibility in mice (2026) · cites this paper as Dickerson et al., 2005
The Results and Discussion (page unavailable) report greater hippocampal activation during a memory task in the MCI group than in older controls. They do not support a correlation with poor memory-task performance: the MCI group performed similarly to controls, and the Results found no significant activation–performance correlation within the MCI group. Across all subjects, greater activation correlated with better performance. (LLM, conf=0.90)
Experimental — accuracy not yet measuredHealthy elderly apoE4 carriers show increased hippocampal and entorhinal activation during encoding task performance.
“Second, healthy elderly apoE4 carriers show increased hippocampal and entorhinal activation during encoding task performance [172, 173].”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [172]
Greater hippocampal activation during encoding tasks is associated with worse task performance in MCI and AD patients.
“Greater hippocampal activation during encoding tasks is associated with worse task performance [176] in MCI and AD patients [172, 177]”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [172]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
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 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
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 · see citing works
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
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 · see citing works
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420 · see citing works
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · see citing works
Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI.
Hixson, J., & Vernier, D. (1990) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)43176-1 · Cited by 2,933 · see citing works
Building Memories: Remembering and Forgetting of Verbal Experiences as Predicted by Brain Activity
Wagner, A. D., Schacter, D. L., Rotte, M., Koutstaal, W., Maril, A., Dale, A. M., Rosen, B. R., & Buckner, R. L. (1998) · Science · doi:10.1126/science.281.5380.1188 · Cited by 1,620 · see citing works
Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603213341202 · Cited by 1,366 · see citing works
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 · see citing works
Making Memories: Brain Activity that Predicts How Well Visual Experience Will Be Remembered
Brewer, J. B., Zhao, Z., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1998) · Science · doi:10.1126/science.281.5380.1185 · Cited by 1,108 · see citing works
Calibrated functional MRI: Mapping the dynamics of oxidative metabolism
Davis, T. L., Kwong, K. K., Weisskoff, R. M., & Rosen, B. R. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.4.1834 · Cited by 1,054 · see citing works
Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging
D’Esposito, M., Deouell, L. Y., & Gazzaley, A. H. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1246 · Cited by 852 · see citing works
DeKosky, S. T., Ikonomovic, M. D., Styren, S. D., Beckett, L., Wisniewski, S., Bennett, D. A., Cochran, E. J., Kordower, J. H., & Mufson, E. J. (2002) · Annals of Neurology · doi:10.1002/ana.10069 · Cited by 686 · see citing works
On standardizing the MR image intensity scale
Ny�l, L. G., & Udupa, J. K. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199912)42:6 · Cited by 567 · see citing works
Medial temporal lobe function and structure in mild cognitive impairment
Dickerson, B. C., Salat, D. H., Bates, J. F., Atiya, M., Killiany, R., Greve, D. N., Dale, A. M., Stern, C. E., Blacker, D., Albert, M., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20163 · Cited by 561 · see citing works
Self-citationEvidence from Functional Neuroimaging of a Compensatory Prefrontal Network in Alzheimer's Disease
Grady, C. L., McIntosh, A. R., Beig, S., Keightley, M., Burian, H., & Black, S. E. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00986.2003 · Cited by 504 · see citing works
Dickerson, B. C., Goncharova, I. I., Sullivan, M., Forchetti, C., Wilson, R. S., Bennett, D. A., Beckett, L. A., & deToledo‐Morrell, L. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00271-8 · Cited by 481 · see citing works
Self-citationPreclinical prediction of Alzheimer's disease using SPECT
Johnson, K. A., Jones, K., Holman, B. L., Becker, J. A., Spiers, P. A., Satlin, A., & Albert, M. S. (1998) · Neurology · doi:10.1212/wnl.50.6.1563 · Cited by 471 · see citing works
Self-citationfMRI studies of associative encoding in young and elderly controls and mild Alzheimer's disease
Sperling, R. A. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.74.1.44 · Cited by 455 · see citing works
Self-citationNeuroplasticity Failure in Alzheimer's Disease
Mesulam, M.-M. (1999) · Neuron · doi:10.1016/s0896-6273(00)81109-5 · Cited by 449 · see citing works
Looking Backward to Move Forward: Early Detection of Neurodegenerative Disorders
DeKosky, S. T., & MAREK, K. L. (2003) · Science · doi:10.1126/science.1090349 · Cited by 403 · see citing works
Neurodegeneration in the Central Nervous System of apoE-Deficient Mice
Masliah, E., Mallory, M. E., Ge, N., Alford, M. F., Veinbergs, I., & Roses, A. D. (1995) · Experimental Neurology · doi:10.1006/exnr.1995.1088 · Cited by 402 · see citing works
Clinical Dementia Rating training and reliability in multicenter studies
Morris, J. C., Ernesto, C., Schafer, K. A., Coats, M. A., Leon, S. A., Sano, M. C., Thal, L. J., & Woodbury, P. (1997) · Neurology · doi:10.1212/wnl.48.6.1508 · Cited by 376 · see citing works
Sperling, R. A., Chua, E. F., Cocchiarella, A. J., Rand‐Giovannetti, E., Poldrack, R. A., Schacter, D. L., & Albert, M. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00391-4 · Cited by 370 · see citing works
Self-citationPredicting Conversion to Alzheimer Disease Using Standardized Clinical Information
Daly, E. J., Zaitchik, D., Copeland, M., Schmahmann, J. D., Gunther, J. M., & Albert, M. (2000) · Archives of Neurology · doi:10.1001/archneur.57.5.675 · Cited by 358 · see citing works
Self-citationFunctional Brain Imaging of Young, Nondemented, and Demented Older Adults
Buckner, R. L., Snyder, A. Z., Sanders, A. L., Raichle, M. E., & Morris, J. C. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900564046 · Cited by 358 · see citing works
Cohen, E. R., Uǧurbil, K., & Kim, S. (2002) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-200209000-00002 · Cited by 354 · see citing works
Comparison of memory fMRI response among normal, MCI, and Alzheimer’s patients
Machulda, M. M., Ward, H. A., Borowski, B., Gunter, J. L., H., R., O’Brien, P. C., Petersen, R. C., Boeve, B. F., Knopman, D. S., Tang‐Wai, D. F., et al. (2003) · Neurology · doi:10.1212/01.wnl.0000079052.01016.78 · Cited by 351 · see citing works
California Verbal Learning Test--Second Edition
Delis, D. C., Kramer, J. H., Kaplan, E., & Ober, B. A. (1987) · PsycTESTS Dataset · doi:10.1037/t15072-000 · Cited by 347 · see citing works
Arendt, T., Schindler, C., Brückner, M. K., Eschrich, K., Bigl, V., Zedlick, D., & Marcova, L. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-02-00516.1997 · Cited by 319 · see citing works
The Effects of Aging upon the Hemodynamic Response Measured by Functional MRI
Huettel, S. A., Singerman, J. D., & McCarthy, G. (2001) · NeuroImage · doi:10.1006/nimg.2000.0675 · Cited by 308 · see citing works
Encoding novel face‐name associations: A functional MRI study
Sperling, R. A., Bates, J. F., Cocchiarella, A. J., Schacter, D. L., Rosen, B. R., & Albert, M. (2001) · Human Brain Mapping · doi:10.1002/hbm.1047 · Cited by 297 · see citing works
Self-citationApolipoprotein E ε4 allele, AD pathology, and the clinical expression of Alzheimer’s disease
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Aggarwal, N. T., Arnold, S. E., Cochran, E. J., Berry-Kravis, E., & Bienias, J. L. (2003) · Neurology · doi:10.1212/01.wnl.0000042478.08543.f7 · Cited by 282 · see citing works
Homocysteine and brain atrophy on MRI of non-demented elderly
den Heijer, T., Vermeer, S. E., Clarke, R., Oudkerk, M., Koudstaal, P. J., Hofman, A., & Breteler, M. M. B. (2002) · Brain · doi:10.1093/brain/awg006 · Cited by 282 · see citing works
Becker, J. T., Mintun, M. A., Aleva, K., Wiseman, M. B., Nichols, T. E., & DeKosky, S. T. (1996) · Neurology · doi:10.1212/wnl.46.3.692 · Cited by 242 · see citing works
Functional MR imaging in Alzheimer's disease during memory encoding.
Rombouts, S. A. R. B., Barkhof, F., Veltman, D. J., Machielsen, W. C. M., Witter, M. P., Bierlaagh, M. A., Lazeron, R. H. C., Valk, J., & Scheltens, P. (2000) · PubMed Central · Cited by 234 · see citing works
Functional MRI detection of pharmacologically induced memory impairment
Sperling, R. A., Greve, D. N., Dale, A. M., Killiany, R., Holmes, J., Rosas, H. D., Cocchiarella, A. J., Firth, P. G., Rosen, B. R., Lake, S. L., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012467899 · Cited by 210 · see citing works
Self-citationBrain regions associated with episodic retrieval in normal aging and Alzheimer’s disease
Bäckman, L., Andersson, J. L. R., Nyberg, L. H., Winblad, B. G., Nordberg, A. K., & Almkvist, O. (1999) · Neurology · doi:10.1212/wnl.52.9.1861 · Cited by 210 · see citing works
Cortical Synaptic Integration<i>In Vivo</i>Is Disrupted by Amyloid-β Plaques
Stern, E. A., Bacskai, B. J., Hickey, G. A., Attenello, F. J., Lombardo, J. A., & Hyman, B. T. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0462-04.2004 · Cited by 210 · see citing works
Johnson, S. C., Saykin, A. J., Baxter, L. C., Flashman, L. A., Santulli, R. B., McAllister, T. W., & Mamourian, A. C. (2000) · NeuroImage · doi:10.1006/nimg.1999.0530 · Cited by 159 · see citing works
Dissociation of regional activation in mild AD during visual encoding
Kato, T., Knopman, D. S., & Liu, H. (2001) · Neurology · doi:10.1212/wnl.57.5.812 · Cited by 143 · see citing works
Woodard, J. L., Grafton, S. T., Votaw, J. R., Green, R. C., Dobraski, M. E., & Hoffman, J. M. (1998) · Neuropsychology · doi:10.1037/0894-4105.12.4.491 · Cited by 108 · see citing works
Compromised Hemodynamic Response in Amyloid Precursor Protein Transgenic Mice
Mueggler, T., Sturchler, C., Kindler, D., Rausch, M., Staufenbiel, M., & Rudin, M. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-16-07218.2002 · Cited by 103 · see citing works
Rentz, D. M., Huh, T., Faust, R. R., Budson, A. E., Scinto, L. F. M., Sperling, R. A., & Daffner, K. R. (2004) · Neuropsychology · doi:10.1037/0894-4105.18.1.38 · Cited by 86 · see citing works
Self-citationMRI of human entorhinal cortex: a reliable protocol for volumetric measurement
Goncharova, I. I., Dickerson, B. C., Stoub, T. R., & deToledo‐Morrell, L. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00270-6 · Cited by 79 · see citing works
Self-citationTemporal cortex hypermetabolism in Down syndrome prior to the onset of dementia
Haier, R. J., Alkire, M. T., White, N. S., Uncapher, M. R., Head, E., Lott, I. T., & Cotman, C. W. (2003) · Neurology · doi:10.1212/01.wnl.0000098935.36984.25 · Cited by 71 · see citing works
Scarmeas, N., Zarahn, E., Anderson, K. E., Honig, L. S., Park, A., Hilton, J., Flynn, J., Sackeïm, H. A., & Stern, Y. (2004) · Archives of Neurology · doi:10.1001/archneur.61.1.73 · Cited by 57 · see citing works
fMRI differences in encoding and retrieval of pictures due to encoding strategy in the elderly
Mandzia, J. L., Black, S. E., McAndrews, M. P., et al. (2003) · Human Brain Mapping · doi:10.1002/hbm.10140 · Cited by 53 · see citing works
Head, E., Lott, I. T., Hof, P. R., Bouras, C., Su, J., Kim, R., Haier, R. J., & Cotman, C. W. (2003) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/62.9.917 · Cited by 36 · see citing works
Broca's region subserves imagery of motion: A combined cytoarchitectonic and fMRI study
Binkofski, F., Amunts, K., Stephan, K. M., Posse, S., Schormann, T., Freund, H.-J., Zilles, K., & Seitz, R. J. (2000) · Human Brain Mapping · doi:10.1002/1097-0193(200012)11:4
Flagged first, then by citations
Cited by
Sorted by citations
The cognitive neuroscience of ageing
Grady, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3256 · Cited by 1,286 · see citing works
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153 · see citing works
Self-citationSperling, R. A., LaViolette, P. S., O'Keefe, K., O'Brien, J., Rentz, D. M., Pihlajamaki, M., Marshall, G., Hyman, B. T., Selkoe, D. J., Hedden, T., et al. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.003 · Cited by 1,027 · see citing works
Self-citationSelective changes of resting-state networks in individuals at risk for Alzheimer’s disease
Sorg, C., Riedl, V., Mühlau, M., Calhoun, V. D., Eichele, T., Läer, L., Drzezga, A., Förstl, H., Kurz, A., Zimmer, C., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708803104 · Cited by 1,036 · see citing works
Network abnormalities and interneuron dysfunction in Alzheimer disease
Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022 · see citing works
Brain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875 · see citing works
Self-citationBusche, M. A., Chen, X., Henning, H. A., Reichwald, J., Staufenbiel, M., Sakmann, B., & Konnerth, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1206171109 · Cited by 715 · see citing works
Yassa, M. A., Lacy, J. W., Stark, S. M., Albert, M. S., Gallagher, M., & Stark, C. E. L. (2011) · Hippocampus · doi:10.1002/hipo.20808 · Cited by 595 · see citing works
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 · see citing works
Episodic memory in normal aging and Alzheimer disease: Insights from imaging and behavioral studies
Tromp, D., Dufour, A., Lithfous, S., Pebayle, T., & Després, O. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.006 · Cited by 390 · see citing works
Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging
Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.019 · Cited by 392 · see citing works
Impairments of neural circuit function in Alzheimer's disease
Busche, M. A., & Konnerth, A. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0429 · Cited by 360 · see citing works
Dickerson, B. C., Fenstermacher, E., Salat, D. H., Wolk, D. A., Maguire, R. P., Desikan, R., Pacheco, J., Quinn, B. T., Van der Kouwe, A., Greve, D. N., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.042 · Cited by 290 · see citing works
Self-citationNeuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289 · see citing works
Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data
Greve, D. N., Svarer, C., Fisher, P. M., Feng, L., Hansen, A. E., Baare, W., Rosen, B., Fischl, B., & Knudsen, G. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.021 · Cited by 264 · see citing works
Self-citationMiller, S. L., Fenstermacher, E., Bates, J., Blacker, D., Sperling, R. A., & Dickerson, B. C. (2007) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.124149 · Cited by 241 · see citing works
Self-citationApolipoprotein E and Alzheimer’s disease: Findings, hypotheses, and potential mechanisms
Koutsodendris, N., Nelson, M. R., Rao, A., & Huang, Y. (2022) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-030421-112756 · Cited by 231 · see citing works
Fleisher, A. S., Sherzai, A., Taylor, C., Langbaum, J. B. S., Chen, K., & Buxton, R. B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.021 · Cited by 217 · see citing works
Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease
Najm, R., Jones, E. A., & Huang, Y. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0324-6 · Cited by 183 · see citing works
Neuronal Hypertrophy in Asymptomatic Alzheimer Disease
Iacono, D., O'Brien, R., Resnick, S. M., Zonderman, A. B., Pletnikova, O., Rudow, G., An, Y., West, M. J., Crain, B., & Troncoso, J. C. (2008) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181772794 · Cited by 188 · see citing works
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 · see citing works
The potential of functional MRI as a biomarker in early Alzheimer's disease
Sperling, R. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.009 · Cited by 187 · see citing works
Self-citationSleep Interacts with Aβ to Modulate Intrinsic Neuronal Excitability
Tabuchi, M., Lone, S. R., Liu, S., Liu, Q., Zhang, J., Spira, A. P., & Wu, M. N. (2015) · Current Biology · doi:10.1016/j.cub.2015.01.016 · Cited by 165 · see citing works
Pathogenic Tau Impairs Axon Initial Segment Plasticity and Excitability Homeostasis
Sohn, P. D., Huang, C. T.-L., Yan, R., Fan, L., Tracy, T. E., Camargo, C. M., Montgomery, K. M., Arhar, T., Mok, S.-A., Freilich, R., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.008 · Cited by 148 · see citing works
Harris, S. S., Wolf, F., De Strooper, B., & Busche, M. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.005 · Cited by 161 · see citing works
PLD3 affects axonal spheroids and network defects in Alzheimer’s disease
Yuan, P., Zhang, M., Tong, L., Morse, T. M., McDougal, R. A., Ding, H., Chan, D., Cai, Y., & Grutzendler, J. (2022) · Nature · doi:10.1038/s41586-022-05491-6 · Cited by 155 · see citing works
Evidence of Neuronal Compensation During Episodic Memory in Subjective Memory Impairment
Erk, S. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.80 · Cited by 147 · see citing works
Berchtold, N. C., Sabbagh, M. N., Beach, T. G., Kim, R. C., Cribbs, D. H., & Cotman, C. W. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.031 · Cited by 124 · see citing works
Gómez de San José, N., Massa, F., Halbgebauer, S., Oeckl, P., Steinacker, P., & Otto, M. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-021-02411-2 · Cited by 112 · see citing works
MRI predictors of cognitive change in a diverse and carefully characterized elderly population
Carmichael, O., Mungas, D., Beckett, L., Harvey, D., Tomaszewski Farias, S., Reed, B., Olichney, J., Miller, J., & DeCarli, C. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.01.021 · Cited by 117 · see citing works
Hippocampal 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 · see citing works
APOE alters glucose flux through central carbon pathways in astrocytes
Williams, H. C., Farmer, B. C., Piron, M. A., Walsh, A. E., Bruntz, R. C., Gentry, M. S., Sun, R. C., & Johnson, L. A. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104742 · Cited by 105 · see citing works
Ahnaou, A., Moechars, D., Raeymaekers, L., Biermans, R., Manyakov, N. V., Bottelbergs, A., Wintmolders, C., Van Kolen, K., Van De Casteele, T., Kemp, J. A., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13839-6 · Cited by 98 · see citing works
Cavanagh, C., Tse, Y. C., Nguyen, H.-B., Krantic, S., Breitner, J. C. S., Quirion, R., & Wong, T. P. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.07.009 · Cited by 79 · see citing works
Cai, W., Li, L., Sang, S., Pan, X., & Zhong, C. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-022-00985-9 · Cited by 83 · see citing works
Pihlajamäki, M., & Sperling, R. A. (2009) · Behavioural Neurology · doi:10.1155/2009/276384 · Cited by 102 · see citing works
Self-citationIacono, D., Resnick, S. M., O’Brien, R., Zonderman, A. B., An, Y., Pletnikova, O., Rudow, G., Crain, B., & Troncoso, J. C. (2014) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0000000000000052 · Cited by 73 · see citing works
Dong, J. W., Jelescu, I. O., Ades-Aron, B., Novikov, D. S., Friedman, K., Babb, J. S., Osorio, R. S., Galvin, J. E., Shepherd, T. M., & Fieremans, E. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.009 · Cited by 70 · see citing works
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 · see citing works
Lim, B., Sando, S. B., Grøntvedt, G. R., Bråthen, G., & Diamandis, E. P. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.03.013 · Cited by 39 · see citing works
Badea, A., Kane, L., Anderson, R. J., Qi, Y., Foster, M., Cofer, G. P., Medvitz, N., Buckley, A. F., Badea, A. K., Wetsel, W. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.014 · Cited by 39 · see citing works
Llano, D. A., Devanarayan, P., & Devanarayan, V. (2019) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000328 · Cited by 35 · see citing works
Staging Neurodegenerative Disorders: Structural, Regional, Biomarker, and Functional Progressions
Archer, T., Kostrzewa, R. M., Beninger, R. J., & Palomo, T. (2011) · Neurotoxicity Research · doi:10.1007/s12640-010-9190-2 · Cited by 34 · see citing works
Gallagher, M., Bakker, A., Yassa, M. A., & Stark, C. E. L. (2010) · Current Alzheimer Research · doi:10.2174/156720510791050867 · Cited by 32 · see citing works
Progress Update: Fluid and Imaging Biomarkers in Alzheimer’s Disease
Sutphen, C. L., Fagan, A. M., & Holtzman, D. M. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.07.031 · Cited by 31 · see citing works
Wang, Z., Williams, V. J., Stephens, K. A., Kim, C., Bai, L., Zhang, M., & Salat, D. H. (2020) · Human Brain Mapping · doi:10.1002/hbm.24871 · Cited by 28 · see citing works
Self-citationAlzheimer's disease biomarkers: correspondence between human studies and animal models
Sabbagh, J. J., Kinney, J. W., & Cummings, J. L. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2013.04.010 · Cited by 27 · see citing works
Chen, L., Christenson Wick, Z., Vetere, L. M., Vaughan, N., Jurkowski, A., Galas, A., Diego, K. S., Philipsberg, P. A., Soler, I., Feng, Y., et al. (2023) · The Journal of Neuroscience · doi:10.1523/jneurosci.1204-23.2023 · Cited by 21 · see citing works
Singh, T., Bridgeman, E., Baker, A. J., Noblet, H. A., Yang, K. Y., Kang, S., Lim, K. H., Lee, S. S., Amundsen, N. M., Lee, Y., et al. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107246 · Cited by 1 · see citing works
- Authors
- Dickerson, B. C., Salat, D. H., Greve, D. N., Chua, E. F., Rand-Giovannetti, E., Rentz, D. M., Bertram, L., Mullin, K., Tanzi, R. E., Blacker, D., Albert, M. S., & Sperling, R. A.
- Affiliations
- Massachusetts General Hospital (US)
- From the Departments of Neurology (Drs. Dickerson, Bertram, Tanzi, Albert, and Sperling, and E. Rand-Giovannetti and K. Mullin), Psychiatry (Drs. Blacker and Albert), Radiology (Drs. Salat and Greve), and the Athinoula A. Martinos Center for Biomedical Imaging (Drs. Dickerson, Salat, Greve, Blacker, Albert, and Sperling, and E.F. Chua and E. Rand-Giovannetti), Massachusetts General Hospital and Harvard Medical School, Boston; Department of Neurology (Drs. Dickerson, Rentz, and Sperling, and E.F....
- ORCID
- Venue
- Neurology
- Published
- 2005-08-09
- Volume
- 65
- Issue
- 3
- Pages
- 404-411
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC4335677
- OpenAlex
- W2052530454
- Cited by
- 910
- References
- 58
- Citations by year
- 2026: 40 · 2025: 51 · 2024: 40 · 2023: 53 · 2022: 34 · 2021: 43 · 2020: 58 · 2019: 37 · 2018: 47 · 2017: 36 · 2016: 39 · 2015: 36 · 2014: 46 · 2013: 42 · 2012: 53
- FWCI
- 23.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (K23AG022509, P01AG04953, K23-AG22509, P50 AG05134, P50AG005134, P01AG004953)
- National Institute of Neurological Disorders and Stroke (K23 NS02189, K23NS002189)
- National Center for Research Resources (P41-RR-14075, P41RR014075)
- NIH Clinical Center
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- mild cognitive impairment, Alzheimer's disease, hippocampal activation, entorhinal cortex, medial temporal lobe, recognition memory, APOE ε4, hippocampal atrophy, normal aging, prodromal Alzheimer's disease
- MeSH terms
- Aged, Aging, Alzheimer Disease, Apolipoproteins E, Cognition Disorders, Female, Genotype, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Memory Disorders, Neuropsychological Tests, Pattern Recognition, Visual, Genetic Predisposition to Disease
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