Hippocampal activation in adults with mild cognitive impairment predicts subsequent cognitive decline
Open accessAbstract
OBJECTIVE: To use functional MRI (fMRI) to investigate whether hippocampal activation during a memory task can predict cognitive decline in individuals with mild cognitive impairment (MCI). METHODS: 25 older individuals with MCI performed a visual scene encoding task during fMRI scanning, and were followed clinically for at least 4 years after scanning. A hypothesis driven analysis of fMRI data was performed. First, fMRI data were analysed at the group level to identify the regions of the hippocampal formation that were engaged by this memory task. Parameter estimates of each subject's memory related hippocampal activation (% signal change) were extracted and were analysed with a linear regression model to determine whether hippocampal activation predicted the degree or rate of cognitive decline, as measured by change in Clinical Dementia Rating Sum-of-Boxes (CDR-SB). RESULTS: Over 5.9 (1.2) years of follow-up after scanning, subjects varied widely in degree and rate of cognitive decline (change in CDR-SB ranged from 0 to 6, and the rate ranged from 0 to 1 CDR-SB unit/year). Greater hippocampal activation predicted greater degree and rate of subsequent cognitive decline (p<0.05). This finding was present even after controlling for baseline degree of impairment (CDR-SB), age, education and hippocampal volume, as well as gender and apolipoprotein E status. In addition, an exploratory whole brain analysis produced convergent results, demonstrating that the hippocampal formation was the only brain region where activation predicted cognitive decline. CONCLUSIONS: In individuals with MCI, greater memory task related hippocampal activation is predictive of a greater degree and rate of cognitive decline subsequent to scanning. fMRI may provide a physiological imaging biomarker useful for identifying the subgroup of MCI individuals at highest risk of cognitive decline for potential inclusion in disease modifying clinical trials.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
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 [177]
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 · 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
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · 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
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · 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
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works
Frontotemporal lobar degeneration: A consensus on clinical diagnostic criteria
Neary, D., Snowden, J. S., Gustafson, L., Passant, U., Stuss, D., Black, S., Freedman, M., Kertesz, A., Robert, P. H., Albert, M., et al. (1998) · Neurology · doi:10.1212/wnl.51.6.1546 · Cited by 5,047 · see citing works
Román, G. C., Tatemichi, T. K., Erkinjuntti, T., Cummings, J. L., Masdeu, J. C., Garcia, J. H., Amaducci, L., Orgogozo, J.-M., Brun, A., Hofman, A., et al. (1993) · Neurology · doi:10.1212/wnl.43.2.250 · Cited by 4,921 · 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
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404 · see citing works
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336 · see citing works
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., & Mufson, E. J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.012 · Cited by 1,017 · see citing works
Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD
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., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000171450.97464.49 · Cited by 910 · see citing works
Self-citationCelone, K., Calhoun, V. D., Dickerson, B. C., Atri, A., Chua, E. F., Miller, S. L., DePeau, K. M., Rentz, D., Selkoe, D. J., Blacker, D., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2250-06.2006 · Cited by 733 · see citing works
Self-citationStern, C. E., Corkin, S., González, R. G., Guimarães, A. R., Baker, J. R., Jennings, P. J., Carr, C. A., Sugiura, R., Vedantham, V., & Rosen, B. R. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.16.8660 · Cited by 640 · see citing works
Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia
Jack, C. R., Dickson, D. W., Parisi, J. E., Xu, Y. C., Cha, R. H., O’Brien, P. C., Edland, S. D., Smith, G. E., Boeve, B. F., Tangalos, E. G., et al. (2002) · Neurology · doi:10.1212/wnl.58.5.750 · Cited by 610 · 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-citationPreclinical prediction of AD using neuropsychological tests
Albert, M., Moss, M. B., Tanzi, R. E., & JONES, K. (2001) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617701755105 · Cited by 517 · 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-citationGutchess, A. H., Welsh, R. C., Hedden, T., Bangert, A. S., Minear, M. E., Liu, L. L., & Park, D. C. (2005) · Journal of Cognitive Neuroscience · doi:10.1162/0898929052880048 · Cited by 461 · see citing works
fMRI 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-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
What is the best similarity measure for motion correction in fMRI time series?
Freire, L., Roche, A., & Mangin, J. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.1009383 · Cited by 353 · see citing works
Visser, P. J., Scheltens, P., Verhey, F. R. J., Schmand, B., Launer, L. J., Jolles, J., & Jonker, C. (1999) · Journal of Neurology · doi:10.1007/s004150050387 · Cited by 319 · see citing works
A focus on the synapse for neuroprotection in Alzheimer disease and other dementias
Coleman, P., Federoff, H., & Kurlan, R. (2004) · Neurology · doi:10.1212/01.wnl.0000140626.48118.0a · Cited by 314 · see citing works
Motion Correction Algorithms May Create Spurious Brain Activations in the Absence of Subject Motion
Freire, L., & Mangin, J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0869 · Cited by 305 · 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 296 · see citing works
Self-citationLongitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI
Storandt, M., Grant, E., Miller, J. P., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228231.26111.6e · Cited by 285 · see citing works
Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia
DeCarli, C. S., Mungas, D., Harvey, D., Reed, B., Weiner, M. W., Chui, H. C., & Jagust, W. J. (2004) · Neurology · doi:10.1212/01.wnl.0000130531.90205.ef · Cited by 273 · see citing works
Neuropsychological Measures in Normal Individuals That Predict Subsequent Cognitive Decline
Blacker, D., Lee, H., Muzikansky, A., Martin, E. C., Tanzi, R. E., McArdle, J. J., Moss, M. B., & Albert, M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.6.862 · Cited by 260 · see citing works
Self-citationCortical 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
Memory complaints are related to Alzheimer disease pathology in older persons
Barnes, L. L., Schneider, J. A., Boyle, P. A., Bienias, J. L., & Bennett, D. A. (2006) · Neurology · doi:10.1212/01.wnl.0000242734.16663.09 · Cited by 192 · see citing works
Risk factors for transitions from normal to mild cognitive impairment and dementia
Kryscio, R. J., Schmitt, F. A., Salazar-Uribe, J. C., Mendiondo, M. S., & Markesbery, W. R. (2006) · Neurology · doi:10.1212/01.wnl.0000203264.71880.45 · Cited by 173 · see citing works
Clinical Prediction of Alzheimer Disease Dementia Across the Spectrum of Mild Cognitive Impairment
Dickerson, B. C., Sperling, R. A., Hyman, B. T., Albert, M., & Blacker, D. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.12.1443 · Cited by 166 · see citing works
Self-citationNeuroimaging biomarkers for clinical trials of disease-modifying therapies in Alzheimer’s disease
Dickerson, B. C., & Sperling, R. A. (2005) · Neurotherapeutics · doi:10.1602/neurorx.2.2.348 · Cited by 156 · see citing works
Self-citationPsychiatric Symptomatology and Prodromal Alzheimer's Disease
Copeland, M., Daly, E. J., Hines, V., Mastromauro, C. A., Zaitchik, D., Gunther, J. M., & Albert, M. (2003) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-200301000-00001 · Cited by 119 · see citing works
Yasuda, M., Takamatsu, J., D’Souza, I., Crowther, R. A., Kawamata, T., Hasegawa, M., Hasegawa, H. H., Spillantini, M. G., Tanimukai, S., Poorkaj, P., et al. (2000) · Annals of Neurology · doi:10.1002/1531-8249(200004)47:4 · Cited by 112 · see citing works
MRI 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-citationPharmacodynamic Considerations with Recombinant Human Insulin-Like Growth Factor-I in Children
Ferry, R. J., Cohen, P., & Katz, L. E. L. (2005) · Hormone Research in Paediatrics · doi:10.1159/000085682 · Cited by 24 · see citing works
Alzheimer neuropathology in nondemented aging
Lippa, C. F., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000234879.82633.f3 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Sperling, 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-citationBrain 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-citationYassa, 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
Sachdev, P. S., Lipnicki, D. M., Kochan, N. A., Crawford, J. D., Thalamuthu, A., Andrews, G., Brayne, C., Matthews, F. E., Stephan, B. C. M., Lipton, R. B., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142388 · Cited by 380 · see citing works
Neuroimaging 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
Lombardi, G., Crescioli, G., Cavedo, E., Lucenteforte, E., Casazza, G., Bellatorre, A.-G., Lista, C., Costantino, G., Frisoni, G., Virgili, G., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009628.pub2 · Cited by 214 · 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
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-citationHarris, 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
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
KIBRA Polymorphism Is Related to Enhanced Memory and Elevated Hippocampal Processing
Kauppi, K., Nilsson, L.-G., Adolfsson, R., Eriksson, E., & Nyberg, L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3292-11.2011 · Cited by 81 · see citing works
Astrocytic and neuronal apolipoprotein E isoforms differentially affect neuronal excitability
Konings, S. C., Torres-Garcia, L., Martinsson, I., & Gouras, G. K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.734001 · Cited by 43 · 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
- Authors
- Miller, S. L., Fenstermacher, E., Bates, J., Blacker, D., Sperling, R. A., & Dickerson, B. C.
- Affiliations
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Dickerson, B C
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 2007-10-10
- Volume
- 79
- Issue
- 6
- Pages
- 630-635
- ISSN
- 0022-3050 (ISSN-L)
- PMC
- PMC2683145
- OpenAlex
- W2140731175
- Cited by
- 241
- References
- 42
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 10 · 2023: 10 · 2022: 7 · 2021: 9 · 2020: 14 · 2019: 9 · 2018: 4 · 2017: 9 · 2016: 13 · 2015: 17 · 2014: 22 · 2013: 13 · 2012: 19
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Neurology Neurosurgery & Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institute on Aging (K23AG022509, R01AG029411, P01AG004953)
- National Institute of Neurological Disorders and Stroke (K23NS002189)
- National Center for Research Resources (P41RR014075)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- mild cognitive impairment, hippocampal activation, cognitive decline prediction, hippocampal formation, memory encoding, Clinical Dementia Rating, imaging biomarkers, Alzheimer's disease, older adults, apolipoprotein E, disease-modifying trials
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Cognition Disorders, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Pattern Recognition, Visual, Mental Recall, Linear Models, Disease Progression
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