Cited by 372Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMemory Processes and Influences

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease

Open access

Bondi, Mark W., Houston, Wes S., Eyler, Lisa T., Brown, Gregory G.·2005·Neurology

DOI 10.1212/01.wnl.0000150885.00929.7ePMC PMC1761695

Open this paper in CoChat — free account

Abstract

OBJECTIVE: To determine whether APOE genotype influences brain response and whether nonverbal stimuli generate findings comparable with those of previous studies that used verbal stimuli. The relationship between APOE genotype and blood oxygenation level dependent (BOLD) brain response was examined during a picture-encoding task in nondemented older adults. METHODS: Twenty nondemented participants with normal episodic memory function were divided into two groups based on the presence (n = 10) or absence (n = 10) of the APOE epsilon4 allele. Picture learning was completed during functional MRI in a blocked design alternating between experimental (novel pictures) and control (repeated picture) conditions. RESULTS: Nondemented older adults with an APOE epsilon4 allele showed greater magnitude and extent of BOLD brain response during learning of new pictures relative to their matched epsilon3 counterparts. Different patterns and directions of association between hippocampal activity and learning and memory performance were also demonstrated. CONCLUSIONS: The results suggest that brain response differences are not due to poorer general memory abilities, differential atrophy, or brain response during control conditions, but instead appear to be directly influenced by APOE genotype. Results are consistent with a compensatory hypothesis wherein older adults at genetic risk for Alzheimer disease by virtue of the APOE epsilon4 allele appear to require additional cognitive effort to achieve comparable performance levels on tests of episodic memory encoding.

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

Crossref · 10.1212/01.wnl.0000150885.00929.7e

Cites

58 of 58 references verified0 citation errors · 0 not checkable

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer's Disease in Late Onset Families
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
Translational Findings on Brain-Derived Neurotrophic Factor and Anxiety: Contributions from Basic Research to Clinical Practice
da Luz, A. C. D. D. S., Dias, G. P., Bevilaqua, M. C. D. N., Cocks, G. D., Gardino, P. F., Thuret, S., & Nardi, A. E. (2013) · Neuropsychobiology · doi:10.1159/000353269 · Cited by 4,015
The BDNF val66met polymorphism affects activity-dependent secretion of BDNF and human memory and hippocampal function
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., Zaitsev, E., Gold, B., Goldman, D., Dean, M., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00035-7 · Cited by 3,888
Association of apolipoprotein E allele ϵ4 with late‐onset familial and sporadic Alzheimer's disease
Saunders, A. M., Strittmatter, W. J., Schmechel, D., St. George-Hyslop, P. H., Pericak-Vance, M. A., Joo, S. H., Rosi, B. L., Gusella, J. F., Crapper-MacLachlan, D. R., Alberts, M. J., et al. (1993) · Neurology · doi:10.1212/wnl.43.8.1467 · Cited by 3,786

Show all 57 references

Research works printed but not linked: 1

10.1037/0882-7974.14.2.295 · DOI · Paper page

Sorted by citations

Items 201–300 of 370

Influence of APOE Genotype on Whole-Brain Functional Networks in Cognitively Normal Elderly
Seo, E. H., Lee, D. Y., Lee, J. M., Park, J.-S., Sohn, B. K., Choe, Y. M., Byun, M. S., Choi, H. J., & Woo, J. I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083205 · Cited by 24
FMRI: Use in Early Alzheimer‘s Disease and in Clinical Trials
Pihlajamaki, M. M., & Sperling, R. A. (2008) · Future Neurology · doi:10.2217/14796708.3.4.409 · Cited by 22
Apolipoprotein E ϵ4 is positively related to spatial performance but unrelated to hippocampal volume in healthy young adults
Stening, E., Persson, J., Eriksson, E., Wahlund, L., Zetterberg, H., & Söderlund, H. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.11.006 · Cited by 22
Spatial pattern separation differences in older adult carriers and non-carriers for the apolipoprotein E epsilon 4 allele
Sheppard, D. P., Graves, L. V., Holden, H. M., Delano‐Wood, L., Bondi, M. W., & Gilbert, P. E. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.04.011 · Cited by 22
Self-citation
The Effect of Apolipoprotein E ε4 (APOE ε4) on Visuospatial Working Memory in Healthy Elderly and Amnestic Mild Cognitive Impairment Patients: An Event-Related Potentials Study
Gu, L., Chen, J., Gao, L., Shu, H., Wang, Z., Liu, D., Yan, Y.-N., Li, S., & Zhang, Z. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00145 · Cited by 23
APOE-ε4 risk variant for Alzheimer's disease modifies the association between cognitive performance and cerebral morphology in healthy middle-aged individuals
Cacciaglia, R., Molinuevo, J. L., Falcón, C., Sánchez‐Benavides, G., Gramunt, N., Brugulat‐Serrat, A., Esteller, M., Morán, S., Fauria, K., & Gispert, J. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101818 · Cited by 22
Mid age APOE ε4 carriers show memory-related functional differences and disrupted structure-function relationships in hippocampal regions
Evans, S., Dowell, N. G., Prowse, F., Tabet, N., King, S. L., & Rusted, J. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-59272-0 · Cited by 22
Eye-tracking indices of impaired encoding of visual short-term memory in familial Alzheimer’s disease
Pavisic, I. M., Pertzov, Y., Nicholas, J. M., O’Connor, A., Lu, K., Yong, K. X. X., Masud Husain, B., Fox, N. C., & Crutch, S. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-88001-4 · Cited by 22
Future Directions in Imaging Neurodegeneration
Masdeu, J. C. (2017) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-017-0718-1 · Cited by 22
Disrupted Brain Structural Connectivity: Pathological Interactions Between Genetic APOE ε4 Status and Developed MCI Condition
Ma, C., Wang, J., Zhang, J., Chen, K., Li, X., Shu, N., Chen, Y., Liu, Z., & Zhang, Z. (2017) · Molecular Neurobiology · doi:10.1007/s12035-016-0224-5 · Cited by 21
APOE4 Promotes Tonic-Clonic Seizures, an Effect Modified by Familial Alzheimer’s Disease Mutations
Lamoureux, L., Marottoli, F. M., Tseng, K. Y., & Tai, L. M. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.656521 · Cited by 21
Neuroimaging Through the Course of Alzheimer's Disease
Smith, C. D. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1217 · Cited by 22
MDMA (Ecstasy) association with impaired fMRI BOLD thalamic coherence and functional connectivity
Salomon, R. M., Karageorgiou, J., Dietrich, M. S., McLellan, J. Y., Charboneau, E. J., Blackford, J. U., & Cowan, R. L. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.06.022 · Cited by 20
Functional connectivity during recognition memory in individuals genetically at risk for Alzheimer's disease
Haase, L., Wang, M., Green, E., & Murphy, C. (2011) · Human Brain Mapping · doi:10.1002/hbm.21451 · Cited by 22
Genes, Brains, and Behavior: Imaging Genetics for Neuropsychiatric Disorders
Arslan, A. (2015) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.13080185 · Cited by 25
Multimodality Imaging Approach in Alzheimer disease. Part I: Structural MRI, Functional MRI, Diffusion Tensor Imaging and Magnetization Transfer Imaging
Promteangtrong, C., Kolber, M., Ramchandra, P., Moghbel, M. C., Houshmand, S., Schöll, M., Bai, H., Werner, T. J., Alavi, A. A., & Buchpiguel, C. A. (2015) · Dementia & Neuropsychologia · doi:10.1590/1980-57642015dn94000318 · Cited by 21
Disrupted neural activity patterns to novelty and effort in young adult APOE‐e4 carriers performing a subsequent memory task
Evans, S., Dowell, N. G., Tabet, N., King, S. L., Hutton, S. B., & Rusted, J. M. (2017) · Brain and Behavior · doi:10.1002/brb3.612 · Cited by 20
Midlife Lifestyle Activities Moderate APOE ε4 Effect on in vivo Alzheimer’s Disease Pathologies
Jeon, S. Y., Byun, M. S., Yi, D., Lee, J., Ko, K., Sohn, B. K., Lee, J., Ryu, S., Lee, D. W., Shin, S. A., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00042 · Cited by 24
Age-Related Effects of the Apolipoprotein E Gene on Brain Function
Matura, S., Prvulovic, D., Hartmann, D., Scheibe, M., Sepanski, B., Butz, M., Oertel‐Knöchel, V., Knöchel, C., Karakaya, T., Fußer, F., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150990 · Cited by 20
Latent patterns of task-related functional connectivity in relation to regions of hyperactivation in individuals at risk of Alzheimer’s disease
Corriveau‐Lecavalier, N., Rajah, M. N., Mellah, S., & Belleville, S. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102643 · Cited by 24
Evolving Brain Functional Abnormalities in PSEN1 Mutation Carriers: A Resting and Visual Encoding fMRI Study
Sala‐Llonch, R., Fortea, J., Bartrés‐Faz, D., Bosch, B., Lladó, A., Peña-Gómez, C., Antonell, A., Castellanos-Pinedo, F., Bargalló, N., Molinuevo, J. L., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130062 · Cited by 21
Functional Magnetic Resonance Imaging in Aging and Dementia: Detection of Age-Related Cognitive Changes and Prediction of Cognitive Decline
Woodard, J. L., & Sugarman, M. A. (2011) · Current topics in behavioral neurosciences · doi:10.1007/7854_2011_159 · Cited by 20
Current Status of Functional MR Imaging, Perfusion-Weighted Imaging, and Diffusion-Tensor Imaging in Alzheimer's Disease Diagnosis and Research
Krishnan, S., Talley, B. D., Slavin, M. J., Doraiswamy, P. M., & Petrella, J. R. (2005) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.09.011 · Cited by 20
Recognition of famous names predicts cognitive decline in healthy elders.
Seidenberg, M., Kay, C. D., Woodard, J. L., Nielson, K. A., Smith, J. C., Kandah, C. C., Breting, L. M. G., Novitski, J., Lancaster, M. A., Matthews, M. A., et al. (2013) · Neuropsychology · doi:10.1037/a0032226 · Cited by 19
Increased fMRI signal with age in familial Alzheimer's disease mutation carriers
Braskie, M. N., Medina, L. D., Rodríguez‐Agudelo, Y., Geschwind, D. H., Macías-Islas, M. Á., Cummings, J. L., Bookheimer, S. Y., & Ringman, J. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.09.028 · Cited by 18
Rostral-middle locus coeruleus integrity and subjective cognitive decline in early old age
Bell, T. R., Elman, J. A., Beck, A. I., Fennema‐Notestine, C., Gustavson, D. E., Hagler, D. J., Jak, A. J., Lyons, M. J., Puckett, O. K., Toomey, R., et al. (2022) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617722000881 · Cited by 19
Apolipoprotein E modulates auditory event-related potentials in healthy aging
Espeseth, T., Rootwelt, H., & Reinvang, I. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.04.053 · Cited by 18
Rhinal hypometabolism on FDG PET in healthy APO-E4 carriers: impact on memory function and metabolic networks
Didic, M., Félician, O., Gour, N., Bernard, R., Pécheux, C., MUNDLER, O., Ceccaldi, M. P., & Guedj, É. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3057-y · Cited by 19
MDMA (ecstasy) use is associated with reduced BOLD signal change during semantic recognition in abstinent human polydrug users: a preliminary fMRI study
Raj, V., Liang, H., Woodward, N. D., Bauernfeind, A. L., Lee, J., Dietrich, M., Park, S., & Cowan, R. L. (2009) · Journal of Psychopharmacology · doi:10.1177/0269881109103203 · Cited by 18
The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease
Sendi, M. S. E., Zendehrouh, E., Ellis, C. A., Fu, Z., Chen, J., Miller, R. L., Mormino, E. C., Salat, D. H., & Calhoun, V. D. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103363 · Cited by 20
Neuronal fiber bundle lengths in healthy adult carriers of the ApoE4 allele: A quantitative tractography DTI study
Salminen, L. E., Schofield, P. R., Lane, E., Heaps, J. M., Pierce, K. D., Cabeen, R. P., Laidlaw, D. H., Akbudak, E., Conturo, T. E., Correia, S., et al. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9225-4 · Cited by 18
Reduced Hippocampal GABA+ Is Associated With Poorer Episodic Memory in Healthy Older Women: A Pilot Study
Jiménez-Baladó, J., Herrera, A. Y., Igwe, K. C., Klem, L., Buyukturkoglu, K., Andrei Irimia, A., Liu, C., Guo, J., Brickman, A. M., & Eich, T. S. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.695416 · Cited by 17
Specific patterns of whole-brain structural covariance of the anterior and posterior hippocampus in young APOE ε4 carriers
Stening, E., Persson, J., Eriksson, E., Wahlund, L., Zetterberg, H., & Söderlund, H. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.03.013 · Cited by 16
Apolipoprotein E ɛ4, Alzheimer's Disease, and Cognitive Performance in Elderly Mexican Mestizos
Villalpando, J. M., Mejía-Arango, S., Aguilar-Salinas, C., Ordóñez-Sánchez, M. L., & Gutiérrez‐Robledo, L. M. (2008) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01606.x · Cited by 16
fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease
Scarmeas, N., & Stern, Y. (2005) · Neurology · doi:10.1212/wnl.65.9.1514-a · Cited by 16
Increased cerebral activity in Parkinson’s disease patients carrying the DRD2 TaqIA A1 allele during a demanding motor task: a compensatory mechanism?
Bartrés‐Faz, D., Martí, M. J., Junqué, C., Solé‐Padullés, C., Ezquerra, M., Bralten, L. B. C., Gaig, C., Campdelacreu, J., Mercader, J. M. A., & TOLOSA, E. S. (2006) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2006.00290.x · Cited by 15
Tract Based Spatial Statistic Reveals No Differences in White Matter Microstructural Organization between Carriers and Non-Carriers of the APOE ɛ4 and ɛ2 Alleles in Young Healthy Adolescents
Dell’Acqua, F., Khan, W., Gottlieb, N., Giampietro, V., Ginestet, C. E., Bouls, D., Newhouse, S., Dobson, R., Banaschewski, T., Barker, G. J., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-140519 · Cited by 14
Hot Topics in Research: Preventive Neuroradiology in Brain Aging and Cognitive Decline
Raji, C. A., Eyre, H. A., Wei, S. H., Bredesen, D. E., Moylan, S., Law, M., Small, G. W., Thompson, P. M., Friedlander, R. M., Silverman, D. H. S., et al. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4409 · Cited by 17
Memory performance and fMRI signal in presymptomatic familial Alzheimer's disease
Braskie, M. N., Medina, L. D., Rodríguez‐Agudelo, Y., Geschwind, D. H., Macías-Islas, M. Á., Thompson, P. M., Cummings, J. L., Bookheimer, S. Y., & Ringman, J. M. (2012) · Human Brain Mapping · doi:10.1002/hbm.22141 · Cited by 17
Apolipoprotein E Genotype Moderation of the Association Between Physical Activity and Brain Health. A Systematic Review and Meta-Analysis
Pearce, A. M., Marr, C., Dewar, M., & Gow, A. J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.815439 · Cited by 16
Connectome Signatures of Hyperexcitation in Cognitively Intact Middle-Aged Female APOE-ε4 Carriers
Fortel, I., Korthauer, L. E., Morrissey, Z. D., Zhan, L., Ajilore, O., Wolfson, O., Driscoll, I. F., Schonfeld, D., & Leow, A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa190 · Cited by 14
Prion protein M129V polymorphism affects retrieval-related brain activity
Buchmann, A., Mondadori, C. R. A., Hänggi, J., Aerni, A., Vrtička, P., Luechinger, R., Boesiger, P., Höck, C., Nitsch, R. M., de Quervain, D. J. ‐., et al. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.03.002 · Cited by 14
Using Magnetoencephalography to Study Patterns of Brain Magnetic Activity in Alzheimer’s Disease
Criado, J. R., Amo, C., Quint, P., Kurelowech, L., & Otis, S. M. (2007) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317506293502 · Cited by 14
Compensatory Mechanisms in Early Alzheimer’s Disease and Clinical Setting: The Need for Novel Neuropsychological Strategies
Torrealba, E., Aguilar-Zerpa, N., Garcia-Morales, P., & Díaz, M. L. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-220116 · Cited by 15
Neural Correlates of Unsuccessful Memory Performance in MCI
Chechko, N., Drexler, E. I., Voss, B., Kellermann, T., Finkelmeyer, A. E., Schneider, F. W., & Habel, U. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00201 · Cited by 13
How pattern information analyses of semantic brain activity elicited in language comprehension could contribute to the early identification of Alzheimer's Disease
Anderson, A. J., & Lin, F. V. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101788 · Cited by 13
Human ecstasy (MDMA) polydrug users have altered brain activation during semantic processing
Watkins, T. J., Raj, V., Lee, J., Dietrich, M. S., Cao, A., Blackford, J. U., Salomon, R. M., Park, S., Benningfield, M. M., Iorio, C., et al. (2012) · Psychopharmacology · doi:10.1007/s00213-012-2936-1 · Cited by 13
Concept of functional imaging of memory decline in Alzheimer’s disease
Drzezga, A. E. (2008) · Methods · doi:10.1016/j.ymeth.2007.02.002 · Cited by 13
Spatial navigation deficits in early Alzheimer’s disease: the role of biomarkers and APOE genotype
Laczó, M., Svacova, Z., Lerch, O., Martinkovič, L., Krejčí, M., Nedelská, Z., Horáková, H., Maťoška, V., Vyhnálek, M., Hort, J., et al. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13151-8 · Cited by 13
Minimal functional brain differences between older adults with and without mild cognitive impairment during the stroop
Puente, A. N., Faraco, C., Terry, D. P., Brown, C. L., & Miller, L. S. (2013) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2013.824065 · Cited by 10
Functional neuroimaging in the diagnosis of dementia
BORRIE, M. J. (2007) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.07.004 · Cited by 11
Rostral-Caudal Hippocampal Functional Convergence Is Reduced Across the Alzheimer’s Disease Spectrum
Initiative, A. D. N., Therriault, J., Wang, S., Mathotaarachchi, S. S., Pascoal, T. A., Parent, M. J., Beaudry, T., Shin, M., Benedet, A. L., Kang, M. S., et al. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-01671-0 · Cited by 12
Sex‐dependent alterations in hippocampal connectivity are linked to cerebrovascular and amyloid pathologies in normal aging
Schweitzer, N., Li, J., Thurston, R. C., Lopresti, B. J., Klunk, W. E., Snitz, B. E., Tudorascu, D., Cohen, A. D., Kamboh, M. I., Halligan‐Eddy, E., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13503 · Cited by 10
Sex differences in longitudinal changes of episodic memory-related brain activity and cognition in cognitively unimpaired older adults with a family history of Alzheimer’s disease
Samson, A. D., Rajagopal, S., Pasvanis, S., Villeneuve, S., McIntosh, A. R., & Rajah, M. N. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103532 · Cited by 12
Neuronal APOE4-induced early hippocampal network hyperexcitability in Alzheimer’s disease pathogenesis
Tabuena, D. R., Jang, S.-S., Grone, B. P., Yip, O., Jones, E. A. A., Blumenfeld, J. R., Liang, Z., Mann, R. S., Li, Y., Necula, D., et al. (2026) · Nature Aging · doi:10.1038/s43587-026-01096-0 · Cited by 17
Association between carotid atherosclerosis and brain activation patterns during the Stroop task in older adults: An fNIRS investigation
Mason, S. A., Saikhan, L. A., Jones, S. H., James, S., Murray‐Smith, H., Rapala, A., Williams, S., Sudre, C. H., Wong, B. L. H., Richards, M., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119302 · Cited by 9
Riluzole rescues alterations in rapid glutamate transients in the hippocampus of rTg4510 mice
Hunsberger, H. C., Hickman, J. E., & Reed, M. N. (2016) · Metabolic Brain Disease · doi:10.1007/s11011-015-9783-9 · Cited by 10
Differential Effects of Human P301L Tau Expression in Young versus Aged Mice
Hunsberger, H. C., Setti, S. E., Rudy, C. C., Weitzner, D. S., Pfitzer, J. C., McDonald, K. L., Hong, H., Bhattacharya, S., Suppiramaniam, V. D., & Reed, M. N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111637 · Cited by 10
Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performance
Ju, S., Horien, C. L., Shen, X., Abuwarda, H., Trainer, A. E., Constable, R. T., & Fredericks, C. A. (2023) · Frontiers in Dementia · doi:10.3389/frdem.2023.1126016 · Cited by 10
APOE ɛ4, an Alzheimer’s disease susceptibility allele, and smoking cessation
Ashare, R. L., Karlawish, J. H., Wileyto, E. P., Pinto, A. V., & Lerman, C. E. (2012) · The Pharmacogenomics Journal · doi:10.1038/tpj.2012.49 · Cited by 8
APOE ɛ4 constrains engagement of encoding-related compensatory networks in amnestic mild cognitive impairment
del Val, L. P., Cantero, J. L., & Atienza, M. (2015) · Hippocampus · doi:10.1002/hipo.22422 · Cited by 9
Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images
Cappabianco, F. A. M., Miranda, P. A. V., Ide, J. S., Yasuda, C. L., & Falcão, A. X. (2012) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.1109/sibgrapi.2012.10 · Cited by 8
fMRI in Neurodegenerative Diseases: From Scientific Insights to Clinical Applications
Dickerson, B. C., Agosta, F., & Filippi, M. (2016) · Neuromethods · doi:10.1007/978-1-4939-5611-1_23 · Cited by 8
The Perirhinal, Entorhinal, and Parahippocampal Cortices and Hippocampus: An Overview of Functional Anatomy and Protocol for Their Segmentation in MR Images
Kivisaari, S. L., Probst, A., & Taylor, K. I. (2020) · Springer eBooks · doi:10.1007/978-3-030-41874-8_24 · Cited by 8
Functional Neuroimaging Studies in Normal Aging
Breting, L. M. G., Tuminello, E. R., & Han, S. D. (2011) · Current topics in behavioral neurosciences · doi:10.1007/7854_2011_139 · Cited by 8
Functional MRI in the early detection of dementias
Dickerson, B. C. (2006) · Revue Neurologique · doi:10.1016/s0035-3787(06)75103-7 · Cited by 9
Neural correlates of subjective cognitive decline in adults at high risk for Alzheimer’s disease
Ben-Ami, L., Ravona‐Springer, R., Tsarfaty, G., Raizman, R., Shumacher, A., Sharvit‐Ginon, I., Greenbaum, L., Bendlin, B. B., Okun, E., Heymann, A. D., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1067196 · Cited by 7
Aberrant Dopamine System Function in the Ferrous Amyloid Buthionine (FAB) Rat Model of Alzheimer’s Disease
Perez, S. M., Boley, A. M., McCoy, A. M., & Lodge, D. J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087196 · Cited by 6
The Role of the Immune System in Alzheimer's Disease
Cohen, R. M. (2009) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/foc.7.1.foc28 · Cited by 8
Neurovascular imaging with QUTE-CE MRI in APOE4 rats reveals early vascular abnormalities
Leaston, J., Ferris, C. F., Kulkarni, P., Chandramohan, D., van de Ven, A. L., Qiao, J., Timms, L., Sepulcre, J., Fakhri, G. E., Ma, C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256749 · Cited by 6
Effect of sex on the APOE4-aging interaction in the white matter microstructure of cognitively normal older adults using diffusion-tensor MRI with orthogonal-tensor decomposition (DT-DOME)
Srisaikaew, P., Chad, J. A., Mahakkanukrauh, P., Anderson, N. D., & Chen, J. J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1049609 · Cited by 7
Using event-related fMRI to examine sustained attention processes and effects of APOE ε4 in young adults
Evans, S., Clarke, D., Dowell, N. G., Tabet, N., King, S. L., Hutton, S. B., & Rusted, J. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198312 · Cited by 7
MRI in Dementia
Schmidt, R., Havas, D., Ropele, S., Enzinger, C., & Fazekas, F. (2008) · Neurologic Clinics · doi:10.1016/j.ncl.2008.09.003 · Cited by 7
Who, when, and where? Age-related differences on a new memory testPreprint
Sumida, C. A., Holden, H. M., Etten, E. J. V., Wagner, G., Hileman, J. D., & Gilbert, P. E. (2015) · Learning & Memory · doi:10.1101/lm.039313.115 · Cited by 7
Antisaccadic eye movements in middle-aged individuals with a family history of Alzheimer's disease
Peng, A., Lai, W., Liu, Z., Wang, M., Chen, S., Zhao, X., Zhu, Y., & Chen, L. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1143690 · Cited by 6
Reduced brain activity during a working memory task in middle-aged apolipoprotein E ε4 carriers with overweight/obesity
Drake, J. A., Jakicic, J. M., Rogers, R. J., Aghjayan, S. L., Stillman, C. M., Donofry, S. D., Roecklein, K. A., Lang, W., & Erickson, K. I. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1001229 · Cited by 6
Functional MRI in Alzheimer’s Disease
Kivistö, J., Soininen, H. S., & Pihlajamaki, M. M. (2014) · InTech eBooks · doi:10.5772/58264 · Cited by 9
Genetic and degenerative disorders primarily causing dementia
Masdeu, J. C., & Pascual, B. (2016) · Handbook of clinical neurology · doi:10.1016/b978-0-444-53485-9.00026-x · Cited by 6
Cognitive and neuropsychological examination of the elderly
Pasternak, E., & Smith, G. E. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00006-6 · Cited by 8
Default mode network failure across the Alzheimer’s disease spectrum
Corriveau‐Lecavalier, N., Dicks, E., Martin, P. R., Wiste, H. J., Gunter, J. L., Kamykowski, M. G., Senjem, M. L., Schwarz, C. G., Botha, H., Graff‐Radford, J., et al. (2026) · Brain · doi:10.1093/brain/awag146 · Cited by 6
APOE ɛ4 Allele Moderates the Association Between Basal Forebrain Nuclei Volumes and Allocentric Navigation in Older Adults Without Dementia
Lerch, O., Laczó, M., Vyhnálek, M., Nedelská, Z., Hort, J., & Laczó, J. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215034 · Cited by 5
Current Serum Lipoprotein Levels and fMRI Response to Working Memory in Midlife
Gonzales, M. M., Tarumi, T., Eagan, D. E., Tanaka, H., Biney, F. O., & Haley, A. P. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000324713 · Cited by 5
Detecting early changes in Alzheimer’s disease with graph theory
Pereira, J. B. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa129 · Cited by 5
Alzheimer’s disease
Gazzaley, A. H., & Small, S. A. (2011) · Network Computation in Neural Systems · doi:10.3109/0954898x.2011.638696 · Cited by 5
Alzheimer Research Series on the Default Network
McCaffrey, P., Fagan, T., & Landhuis, E. W.-Y. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1277 · Cited by 5
Advances in imaging-genetic relationships for Alzheimer's disease: clinical implications.
Bagnoli, S., Piaceri, I., Sorbi, S., & Nacmias, B. (2014) · Neurodegenerative Disease Management · doi:10.2217/nmt.13.68 · Cited by 4
Distinct neural correlates of episodic memory among apolipoprotein E alleles in cognitively normal elderly
Shu, H., Shi, Y., Chen, G., Wang, Z., Liu, D., Yue, C., Ward, B. D., Li, W., Xu, Z., Chen, G., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9818-4 · Cited by 5
Neuroimaging of Alzheimer’s Disease, Mild Cognitive Impairment, and Other Dementias
Risacher, S. L., & Saykin, A. J. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6373-4_19 · Cited by 5
Imminent cognitive decline in normal elderly individuals is associated with hippocampal hyperconnectivity in the variant neural correlates of episodic memory
Shu, H., Chen, G., Ward, B. D., Chen, G., Wang, Z., Liu, D., Su, F., Gu, L., Xu, Z., Li, S., et al. (2021) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01310-7 · Cited by 4
In-Out-Test: A New Paradigm for Sorting the Wheat from the Chaff in Prodromal Alzheimer’s Disease
Torrealba, E., Garcia-Morales, P., Cejudo, J. C., Díaz, M. L., Rodríguez‐Esparragón, F., Fabre, O., Mesa-Herrera, F., Marín, R., Sánchez-García, F., Rodríguez, A., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-171007 · Cited by 4
Reductions in ‘Ross Information Processing Test-Geriatric’ information processing and ‘A Quick Test of Cognitive Speed’ processing speed in Alzheimer's disease: which lead and which follow?
Ross-Swain, D., & Wiig, E. H. (2008) · International Journal of Rehabilitation Research · doi:10.1097/mrr.0b013e3282f45152 · Cited by 4
What metaphor for the aging brain?
Rockwood, K. J. (2007) · Neurology · doi:10.1212/01.wnl.0000265399.77681.40 · Cited by 4
Working memory in Alzheimer’s disease and mild cognitive impairment (MCI) : assessment and intervention
Gagnon, L. G. (2011) · Papyrus : Institutional Repository (Université de Montréal) · doi:10.71781/17768 · Cited by 4
Compensating functional connectivity changes due to structural connectivity damage via modifications of local dynamicsPreprint
Stulz, S. B., Castro, S., Dumont, G., Gutkin, B. S., & Battaglia, D. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.31.596792 · Cited by 6
Brain activation in older adults during odor identification is related to ApoE, t-tau/Aβ1–42, and hippocampal volume
Albertazzi, A., & Murphy, C. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.02.001 · Cited by 3
STCWTNet: Spatio-temporal channel-wise transformer network for interpretable cross-subject mild cognitive impairment detection using EEG signals
Liu, Y., Deng, J., Xu, R., & Zhou, Y. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.109564 · Cited by 3
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease: A Predictive Study
Casamitjana, A., Petrone, P., Molinuevo, J. L., Gispert, J. D., & Vilaplana, V. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2932565 · Cited by 3
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0345-7_24 · Cited by 3
Imaging studies and APOE genotype in persons at risk for Alzheimer’s disease
Scarmeas, N., & Stern, Y. (1996) · Current Psychiatry Reports · doi:10.1007/s11920-996-0057-4 · Cited by 3
Is Brain Connectome Research the Future Frontier for Subjective Cognitive Decline? A Systematic ReviewPreprint
Lazarou, I., Nikolopoulos, S., Dimitriadis, S. I., Kompatsiaris, I. Y., Spylioti, M., & Tsolaki, M. (2019) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/dtqeh · Cited by 3

Authors: Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G.
Affiliations: University of California San Diego (US)
ORCID: Bondi, Mark W.
Eyler, Lisa T.
Brown, Gregory G.
Venue: Neurology
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2005-02-08
Volume: 64
Issue: 3
Pages: 501-508
ISSN: 0028-3878 (ISSN-L)
1526-632X
DOI: 10.1212/01.wnl.0000150885.00929.7e
PMC: PMC1761695
OpenAlex: W2152021942
Cited by: 372
References: 57
Citations by year: 2026: 6 · 2025: 6 · 2024: 6 · 2023: 13 · 2022: 8 · 2021: 12 · 2020: 20 · 2019: 9 · 2018: 9 · 2017: 11 · 2016: 14 · 2015: 20 · 2014: 23 · 2013: 24 · 2012: 22
FWCI: 17.17
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Neurology (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute on Aging (P50AG005131, R01AG012674)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
Keywords: APOE ε4, compensatory mechanisms, older adults, BOLD signal, picture encoding, episodic memory encoding, hippocampal activity, nonverbal stimuli, cognitive effort, brain responses
MeSH terms: Adaptation, Psychological, Aged, Aged, 80 and over, Alleles, Alzheimer Disease, Apolipoproteins E, Cerebral Cortex, Cerebrovascular Circulation, Cognition, Female, Genotype, Hippocampus, Humans, Learning, Magnetic Resonance Imaging, Male, Memory, Memory Disorders, Neuropsychological Tests, Photic Stimulation, Prognosis, Reference Values, Disease Progression, Genetic Predisposition to Disease, Early Diagnosis, Apolipoprotein E4

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

fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks