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fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease
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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.
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“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 [173]
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Citations
Cites
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
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
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
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
Research works printed but not linked: 1
- 10.1037/0882-7974.14.2.295 · DOI · Paper page
Cited by
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Items 101–200 of 370
Wermke, M., Sorg, C., Wohlschläger, A. M., & Drzezga, A. E. (2008) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-007-0698-5 · Cited by 59
Alterations in hippocampal activity and Alzheimer’s disease.
Setti, S. E., Hunsberger, H. C., & Reed, M. N. (2017) · Translational Issues in Psychological Science · doi:10.1037/tps0000124 · Cited by 65
Altered parahippocampal functioning in cannabis users is related to the frequency of use
Becker, B., Wagner, D. R., Gouzoulis‐Mayfrank, E., Spuentrup, E., & Daumann, J. (2010) · Psychopharmacology · doi:10.1007/s00213-010-1805-z · Cited by 58
Functional neuroanatomy of the encoding and retrieval processes of verbal episodic memory in MCI
Clément, F., Belleville, S., & Mellah, S. (2009) · Cortex · doi:10.1016/j.cortex.2009.07.003 · Cited by 57
Cerebral hyperactivation across the Alzheimer’s disease pathological cascade
Corriveau‐Lecavalier, N., Adams, J. N., Fischer, L., Molloy, E. N., & Maaß, A. (2024) · Brain Communications · doi:10.1093/braincomms/fcae376 · Cited by 71
Functional magnetic resonance imaging as a dynamic candidate biomarker for Alzheimer's disease
Prvulovic, D., Bokde, A. L. W., Faltraco, F., & Hampel, H. J. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.05.008 · Cited by 57
Goveas, J. S., Xie, C., Chen, G., Li, W., Ward, B. D., Franczak, M. B., Jones, J. L., Antuono, P., & Li, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055902 · Cited by 59
Lazarczyk, M. J., Hof, P. R., Bouras, C., & Giannakopoulos, P. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-127 · Cited by 55
Gigi, A., Babai, R., Penker, A., Hendler, T., & Korczyn, A. D. (2010) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2009.00386.x · Cited by 56
The cingulate cortex of older adults with excellent memory capacity
Lin, F. V., Ren, P., Mapstone, M. E., Meyers, S. P., Porsteinsson, A. P., & Baran, T. M. (2016) · Cortex · doi:10.1016/j.cortex.2016.11.009 · Cited by 56
Clark, C. P., Brown, G. G., Frank, L. R., Thomas, L. S., Sutherland, A. N., & Gillin, J. C. (2006) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2005.12.008 · Cited by 52
Self-citationWinder‐Rhodes, S., Hampshire, A., Rowe, J. B., Peelle, J. E., Robbins, T. W., Owen, A. M., & Barker, R. A. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.006 · Cited by 54
Tran, T., Speck, C. L., Pisupati, A., Gallagher, M., & Bakker, A. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.12.002 · Cited by 50
Hayes, J. M., Tang, L., Viviano, R. P., van Rooden, S., Ofen, N., & Damoiseaux, J. S. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.08.015 · Cited by 54
Filbey, F. M., Slack, K. J., Sunderland, T., & Cohen, R. M. (2006) · Neuroreport · doi:10.1097/01.wnr.0000234745.27571.d1 · Cited by 51
Initiative, A. D. N., Liu, Y., Tan, L., Wang, H.-F., Liu, Y., Hao, X., Tan, C., Jiang, T., Liu, B., Zhang, D., et al. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9388-7 · Cited by 54
Dowell, N. G., Evans, S., Tofts, P. S., King, S. L., Tabet, N., & Rusted, J. M. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3502 · Cited by 49
Functional signature of conversion of patients with mild cognitive impairment
Pizzi, S. D., Punzi, M., Sensi, S. L., & Initiative, F. T. A. D. N. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.004 · Cited by 54
Nichols, L. M., Masdeu, J. C., Mattay, V. S., Kohn, P. D., Emery, M. R., Sambataro, F., Kolachana, B. S., Elvevåg, B., Kippenhan, S., Weinberger, D. R., et al. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1893 · Cited by 52
McDonough, I. M., Festini, S. B., & Wood, M. M. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101133 · Cited by 52
Early Molecular Changes in Alzheimer Disease: Can We Catch the Disease in its Presymptomatic Phase?
Wirz, K. T. S., Keitel, S., Swaab, D. F., Verhaagen, J., & Bossers, K. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130920 · Cited by 47
Balachandar, R., John, J. P., Saini, J. S., Kumar, K. J., Joshi, H., Sadanand, S., Aiyappan, S., Sivakumar, P. T., Loganathan, S., Varghese, M., et al. (2014) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4168 · Cited by 51
Reductive stress in young healthy individuals at risk of Alzheimer disease
Badía, M.-C., Giraldo, E., Dası́, F., Alonso, D., Lainez, J. M., Lloret, A., & Viña, J. (2013) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2013.05.003 · Cited by 48
Gordon, B. A., Zacks, J. M., Blazey, T., Benzinger, T. L. S., Morris, J. C., Fagan, A. M., Holtzman, D. M., & Balota, D. A. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.01.019 · Cited by 49
Meta-analysis of cognitive ability differences by apolipoprotein e genotype in young humans
Weissberger, G. H., Nation, D. A., Nguyen, C. P., Bondi, M. W., & Han, S. D. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.08.009 · Cited by 51
Self-citationDifferent Cortical Gyrification Patterns in Alzheimer's Disease and Impact on Memory Performance
Núñez, C., Callén, A., Lombardini, F., Compta, Y., Stephan‐Otto, C., & Initiative, A. D. N. (2020) · Annals of Neurology · doi:10.1002/ana.25741 · Cited by 47
Paitel, E. R., Otteman, C., Polking, M. C., Licht, H. J., & Nielson, K. A. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1496235 · Cited by 53
Advances in Functional Magnetic Resonance Imaging: Technology and Clinical Applications
Dickerson, B. C. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.007 · Cited by 45
Khan, W., Giampietro, V., Ginestet, C. E., Dell’Acqua, F., Bouls, D., Newhouse, S., Dobson, R., Banaschewski, T., Barker, G. J., Bokde, A. L. W., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131841 · Cited by 44
Cortical Plasticity in the Setting of Brain Tumors
Fisicaro, R. A., Jost, E., Shaw, K. S., Brennan, N. M. P., Peck, K. K., & Holodny, A. I. (2016) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000077 · Cited by 44
Tok, S., Ahnaou, A., & Drinkenburg, W. H. I. M. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210397 · Cited by 45
Entorhinal cortex structure and functional MRI response during an associative verbal memory task
Braskie, M. N., Small, G. W., & Bookheimer, S. Y. (2009) · Human Brain Mapping · doi:10.1002/hbm.20823 · Cited by 43
Effects of age and mild cognitive impairment on direct and indirect access to arithmetic knowledge.
Zamarian, L., Stadelmann, E., Nürk, H., Gamboz, N., Marksteiner, J., & Delazer, M. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.11.012 · Cited by 43
Kivisaari, S. L., Probst, A., & Taylor, K. I. (2013) · Springer eBooks · doi:10.1007/978-3-642-34342-1_19 · Cited by 45
Sex differences in default mode network connectivity in healthy aging adults
Ficek, B., Horien, C. L., Ju, S., Xu, W., Li, N., Lacadie, C., Shen, X., Scheinost, D., Constable, R. T., & Fredericks, C. A. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac491 · Cited by 46
Guedj, É., Barbeau, E. J., Didic, M., Félician, O., de Laforte, C., Ranjeva, J., Poncet, M., Cozzone, P. J., MUNDLER, O., & Ceccaldi, M. P. (2009) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-009-1060-x · Cited by 43
Burggren, A. C., & Brown, J. A. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9278-4 · Cited by 44
Sinha, N., Berg, C. N., Tustison, N. J., Shaw, A., Hill, D., Yassa, M. A., & Gluck, M. A. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.05.023 · Cited by 46
A FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers
Yao, Z., Hu, B., Zheng, J., Zheng, W., Chen, X., Gao, X., Xie, Y., Fang, L., & Initiative, A. D. N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132300 · Cited by 42
Yi, D., Lee, D. Y., Sohn, B. K., Choe, Y. M., Seo, E. H., Byun, M. S., & Woo, J. I. (2014) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2013.12.173 · Cited by 42
ERP generator anomalies in presymptomatic carriers of the Alzheimer's disease E280APS‐1mutation
Bobes, M. A., García, Y. F., Lopera, F. J., Quiroz, Y. T., Galán, L., Vega, M., Trujillo‐Barreto, N. J., Valdés-Sosa, M. J., & Valdes-Sosa, P. A. (2009) · Human Brain Mapping · doi:10.1002/hbm.20861 · Cited by 42
Verbal Working Memory and Atherosclerosis in Patients with Cardiovascular Disease: An fMRI study
Haley, A. P., Sweet, L. H., Gunstad, J., Forman, D. E., Poppas, A., Paul, R. H., Tate, D. F., & Cohen, R. A. (2007) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2007.00110.x · Cited by 41
Sugarman, M. A., Woodard, J. L., Nielson, K. A., Seidenberg, M., Smith, J. C., Durgerian, S., & Rao, S. M. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.09.016 · Cited by 41
Neural hyperactivation in carriers of the Alzheimer's risk variant on the clusterin gene
Lancaster, T. M., Baird, A. L., Wolf, C., Jackson, M. C., Johnston, S. J., Donev, R., Thome, J., & Linden, D. E. J. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.02.001 · Cited by 41
Kukolja, J., Thiel, C. M., Eggermann, T., Zerres, K., & Fink, G. R. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.03.044 · Cited by 40
Imaging studies and APOE genotype in persons at risk for Alzheimer’s disease
Scarmeas, N., & Stern, Y. (2006) · Current Psychiatry Reports · doi:10.1007/s11920-006-0076-1 · Cited by 39
Genetics and Functional Imaging: Effects of APOE, BDNF, COMT, and KIBRA in Aging
Papenberg, G., Salami, A., Persson, J., Lindenberger, U., & Bäckman, L. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9279-8 · Cited by 39
Peña-Gómez, C., Solé‐Padullés, C., Clemente, I. C., Junqué, C., Bargalló, N., Bosch, B., Molinuevo, J. L., Valls‐Solé, J., Pascual‐Leone, Á., & Bartrés‐Faz, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051833 · Cited by 39
Strategies for molecular imaging dementia and neurodegenerative diseases
Schaller, B. J. (2008) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s2154 · Cited by 38
Zamarian, L., Semenza, C., Domahs, F., Benke, T., & Delazer, M. (2007) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2007.06.005 · Cited by 39
Dietary supplementation of creatine monohydrate reduces the human fMRI BOLD signal
Hammett, S. T., Wall, M. B., Edwards, T. C., & Smith, A. T. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.05.054 · Cited by 38
The neurobiology of Alzheimer disease defined by neuroimaging
Masdeu, J. C., Kreisl, W. C., & Berman, K. F. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283557b36 · Cited by 39
Does possession of apolipoprotein E ɛ4 benefit cognitive function in healthy young adults?
Bunce, D. J., Anstey, K. J., Burns, R. A., Christensen, H. M., & Easteal, S. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.02.042 · Cited by 41
Impact of cognitive reserve on the relationship of lead exposure and neurobehavioral performance
Bleecker, M. L., Ford, D. P., Celio, M. A., Vaughan, C. G., & Lindgren, K. N. (2007) · Neurology · doi:10.1212/01.wnl.0000266628.43760.8c · Cited by 39
Fine, E. M., Delis, D. C., Wetter, S., Jacobson, M. W., Jak, A. J., McDonald, C. R., Braga, J. C., Thal, L. J., Salmon, D. P., & Bondi, M. W. (2008) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181629957 · Cited by 37
Self-citationLancaster, T. M., Brindley, L. M., Tansey, K. E., Sims, R., Mantripragada, K. K., Owen, M. J., Williams, J. H., & Linden, D. E. J. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.10.012 · Cited by 37
11C-PIB PET in subjective cognitive impairment
Rodda, J., Okello, A., Edison, P., Dannhauser, T., Brooks, D. J., & Walker, Z. (2010) · European Psychiatry · doi:10.1016/j.eurpsy.2009.07.011 · Cited by 36
Assessment of neuroinflammation in a mouse model of obesity and β-amyloidosis using PET
Barron, A. M., Tokunaga, M., Zhang, M., Ji, B., Suhara, T., & Higuchi, M. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0700-x · Cited by 37
Blackman, J., Love, S., Sinclair, L. I., Cain, R., & Coulthard, E. J. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-00992-y · Cited by 37
Johnson, S. C., Ries, M. L., Hess, T., Carlsson, C. M., Gleason, C. E., Alexander, A. L., Rowley, H. A., Asthana, S., & Sager, M. A. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.10.1163 · Cited by 37
Magnetic Resonance Approaches to Brain Aging and Alzheimer Disease-associated Neuropathology
Anderson, V. C., Litvack, Z., & Kaye, J. A. (2005) · Topics in Magnetic Resonance Imaging · doi:10.1097/01.rmr.0000245458.05654.d0 · Cited by 36
O'Dwyer, L., Lamberton, F., Matura, S., Scheibe, M., Miller, J., Rujescu, D., Prvulovic, D., & Hampel, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036024 · Cited by 34
Vascular health risks and fMRI activation during a memory task in older adults
Braskie, M. N., Small, G. W., & Bookheimer, S. Y. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.08.016 · Cited by 34
Wierenga, C. E., Stricker, N. H., McCauley, A., Simmons, A. N., Jak, A. J., Chang, Y., Delano‐Wood, L., Bangen, K. J., Salmon, D. P., & Bondi, M. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.021 · Cited by 35
Self-citationThe impact of sleep deprivation and task difficulty on networks of fMRI brain response
Stricker, J. L., Brown, G. G., WETHERELL, L. A., & Drummond, S. P. A. (2006) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617706060851 · Cited by 34
Self-citationAdamson, M. M., Hutchinson, J. B., Shelton, A. L., Wagner, A. D., & Taylor, J. L. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.04.022 · Cited by 34
Apolipoprotein E ε4-related thickening of the cerebral cortex modulates selective attention
Espeseth, T., Westlye, L. T., Walhovd, K. B., Fjell, A. M., Endestad, T., Rootwelt, H., & Reinvang, I. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.12.027 · Cited by 32
EEG functional connectivity and ApoE genotype in Alzheimer’s disease and controls
Kramer, G. B. G., van der Flier, W. M., de Langen, C., Blankenstein, M. A., Scheltens, P., & Stam, C. J. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.08.019 · Cited by 33
Matura, S., Prvulovic, D., Butz, M., Hartmann, D., Sepanski, B., Linnemann, K., Oertel‐Knöchel, V., Karakaya, T., Fußer, F., Pantel, J., et al. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12659 · Cited by 32
Chen, C.-J., Chen, C.-C., Wu, D., Chi, N., Chen, P.-C., Liao, Y., Chiu, H., & Hu, C. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3369 · Cited by 34
A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment
Xie, L., Dolui, S., Das, S. R., Stockbower, G. E., Daffner, M., Rao, H., Yushkevich, P. A., Detre, J. A., & Wolk, D. A. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.03.002 · Cited by 34
Putcha, D., O’Keefe, K., LaViolette, P. S., O’Brien, J., Greve, D. N., Rentz, D. M., Locascio, J. J., Atri, A., & Sperling, R. A. (2011) · Human Brain Mapping · doi:10.1002/hbm.21166 · Cited by 33
Failing Compensatory Mechanisms During Working Memory in Older Apolipoprotein E-ε4 Healthy Adults
Filbey, F. M., Chen, G., Sunderland, T., & Cohen, R. M. (2010) · Brain Imaging and Behavior · doi:10.1007/s11682-010-9097-9 · Cited by 34
Ringman, J. M., Medina, L. D., Braskie, M. N., Rodríguez‐Agudelo, Y., Geschwind, D. H., Macías-Islas, M. Á., Cummings, J. L., & Bookheimer, S. Y. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq158 · Cited by 31
Functional imaging of working memory and peripheral endothelial function in middle-aged adults
Gonzales, M. M., Tarumi, T., Tanaka, H., Sugawara, J., Swann-Sternberg, T., Goudarzi, K., & Haley, A. P. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2010.04.007 · Cited by 30
Functional MR Imaging Evidence of Altered Functional Activation in Metabolic Syndrome
Hoth, K. F., Gonzales, M. M., Tarumi, T., Miles, S. C., Tanaka, H., & Haley, A. P. (2010) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2315 · Cited by 31
Lazarou, I., Nikolopoulos, S., Dimitriadis, S. I., Kompatsiaris, I. Y., Spilioti, M. G., & Tsolaki, M. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.07.004 · Cited by 29
Suthana, N., Krupa, A. K., Donix, M., Burggren, A. C., Ekstrom, A. D., Jones, M., Ercoli, L. M., Miller, K. J., Siddarth, P., Small, G. W., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.014 · Cited by 30
Sandstrom, C. K., Krishnan, S., Slavin, M. J., Tran, T.-T. T., Doraiswamy, P. M., & Petrella, J. R. (2006) · PubMed Central · Cited by 30
Children of Persons With Alzheimer Disease
Jarvik, L. F., LaRue, A. A., Blacker, D., Gatz, M., Kawas, C. H., McArdle, J. J., Morris, J. C., Mortimer, J. A., Ringman, J. M., Ercoli, L. M., et al. (2008) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e31816653ac · Cited by 31
Morgan, C. D., & Murphy, C. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-37 · Cited by 30
The search for antecedent biomarkers of Alzheimer's disease
Fagan, A. M., Csernansky, C. A., Morris, J. C., & Holtzman, D. M. (2006) · Journal of Alzheimer s Disease · doi:10.3233/jad-2005-8404 · Cited by 29
Trivedi, M. A., Stoub, T. R., Murphy, C. M., George, S., deToledo‐Morrell, L., Shah, R. C., Whitfield, S., Gabrieli, J. D. E., & Stebbins, G. T. (2011) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9117-4 · Cited by 27
Lee, H. L., Stirnberg, R., Wu, S., Wang, X., Stöcker, T., Jung, S., Montag, C., & Axmacher, N. (2020) · Current Biology · doi:10.1016/j.cub.2020.08.042 · Cited by 27
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Lau, H., Shahar, S., Mohamad, M., Rajab, N. F., Yahya, H. M., Din, N. C., & Hamid, H. A. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s183425 · Cited by 27
Chételat, G., Desgranges, B., & Eustache, F. (2006) · Revue Neurologique · doi:10.1016/s0035-3787(06)75104-9 · Cited by 29
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Hantke, N. C., Nielson, K. A., Woodard, J. L., Breting, L. M. G., Butts, A. M., Seidenberg, M., Smith, J. C., Durgerian, S., Lancaster, M. A., Matthews, M. A., et al. (2012) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617712000951 · Cited by 29
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Karageorgiou, J., Dietrich, M. S., Charboneau, E. J., Woodward, N. D., Blackford, J. U., Salomon, R. M., & Cowan, R. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.029 · Cited by 25
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Metadata
- Authors
- Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G.
- Affiliations
- University of California San Diego (US)
- Venue
- Neurology
- Published
- 2005-02-08
- Volume
- 64
- Issue
- 3
- Pages
- 501-508
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- 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
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