The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Cognitive reserve
Open accessAbstract
The concept of reserve has been proposed to account for the disjunction between the degree of brain damage and its clinical outcome. This paper attempts to produce a coherent theoretical account the reserve in general and of cognitive reserve in particular. It reviews epidemiologic data supporting the concept of cognitive reserve, with a particular focus of its implications for aging and dementia. It then focuses on methodologic issues that are important when attempting to elucidate the neural underpinnings of cognitive reserve using imaging studies, and reviews some of our group's work in order to demonstrate these issues.
Overview
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
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“In contrast, the concept of CR suggests that the brain actively attempts to cope with brain damage by using pre-existing cognitive processing approaches or by enlisting compensatory approaches15, 16.”
From Cognitive reserve in ageing and Alzheimer's disease (2012) · cites this paper as [16]
The cited source says what the claim attributes to it.
In the citing paper
“The neural implementation of CR might take two forms: neural reserve and neural compensation16, 38.”
From Cognitive reserve in ageing and Alzheimer's disease (2012) · cites this paper as [16]
In the citing paper
“Individual differences in cognitive reserve are determined by such factors as early-life general cognitive ability/intelligence, education level, occupation complexity, physical exercise, social engagement, and ongoing cognitive engagement126.”
From Psychobiological factors of resilience and depression in late life (2019) · cites this paper as [126]
In the citing paper
“Reserve can be built through a range of experiences across the lifespan, such as educational level, occupational complexity, and social and cognitive activity (Stern, 2009).”
From Living alone and cognitive function in later life (2019) · cites this paper as Stern, 2009
In the citing paper
“These differences are linked to the ability of an individual to recruit protective mechanisms associated with cognitive abilities built up over the lifespan, and actively compensate for damage caused by pathology [10].”
From Social isolation, cognitive reserve, and cognition in healthy older people (2018) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The publisher hasn’t deposited this paper’s reference list.
Research works printed but not linked: 7
- Farmer ME Kittner SJ Rae DS Bartko JJ Regier DA 1995 Education and change in cognitive function: The epidemiologic catchment area study Annals of Epidemiology 5 1 7 7728280
- Rocca WA Bonaiuto S Lippi A Luciani P Turtu F Cavarzeran F 1990 Prevalence of clinically diagnosed Alzheimer's disease and other dementing disorders: A door-to-door survey in Appignano, Macerata Province, Italy Neurology 40 626 631 2320236
- Satz P 1993 Brain reserve capacity on symptom onset after brain injury: A formulation and review of evidence for threshold theory Neuropsychology 7 273 295
- Scarmeas N Zarahn E Anderson KE Habeck CG Hilton J Flynn J 2003a Association of life activities with cerebral blood flow in Alzheimer disease - Implications for the cognitive reserve hypothesis Archives of Neurology 60 359 365 12633147 PMC3028534
- Stern Y 2007 Imaging cognitive reserve Stern Y Cognitive Reserve: Theory and Applications 251 264 New York Taylor & Francis
- Stern Y Alexander GE Prohovnik I Stricks L Link B Lennon MC 1995 Relationship between lifetime occupation and parietal flow: Implications for a reserve against Alzheimer's disease pathology Neurology 45 55 60 7824135
- Wager TD Smith EE 2006 Neuroimaging studies of working memory: A meta-analysis Cognitive, Affective, & Behavioral Neuroscience 3 255 274 15040547
Cited by
Sorted by citations
Items 701–800 of 1,012
The cognitive neuroscience of aging: New findings on compensation and connectivity
Phillips, L. H., & Andrés, P. (2010) · Cortex · doi:10.1016/j.cortex.2010.01.005 · Cited by 39
The Impact of Age and Cognitive Reserve on Resting-State Brain Connectivity
Fleck, J. I., Kuti, J., Mercurio, J. C., Mullen, S., Austin, K., & Pereira, O. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00392 · Cited by 45
Chiu, H., Chan, P.-T., Kao, C., Chu, H., Chang, P., Hsiao, S. S., Liu, D., Chang, W., & Chou, K. (2017) · Journal of Advanced Nursing · doi:10.1111/jan.13519 · Cited by 41
Perceived stress and dementia: Results from the Copenhagen city heart study
Nabe‐Nielsen, K., Rod, N. H., Hansen, Å. M., Prescott, E., Grynderup, M. B., Islamoska, S., Ishtiak‐Ahmed, K., Garde, A. H., Gyntelberg, F., Mortensen, E. L., et al. (2019) · Aging & Mental Health · doi:10.1080/13607863.2019.1625304 · Cited by 38
Liu, L., Zhang, C., Lv, X., Lai, X., Xu, L., Feng, J., Song, Y., Wang, S., & Zhan, S. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00731-1 · Cited by 40
Imbimbo, I., Coraci, D., Santilli, C., Loreti, C., Piccinini, G., Ricciardi, D., Castelli, L., Fusco, A., Bentivoglio, A. R., & Padua, L. (2021) · Neurological Sciences · doi:10.1007/s10072-021-05123-3 · Cited by 39
Bernstein, L. J., Edelstein, K., Sharma, A., & Alain, C. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.024 · Cited by 33
Less depressive symptoms are associated with smaller hippocampus in subjective memory impairment
Kim, M.-J., Seo, S. W., Kim, G. H., Kim, S. T., Lee, J. M., Qiu, A., & Na, D. L. (2013) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2013.01.005 · Cited by 38
Jones, S. A., De Marco, M., Manca, R., Bell, S. M., Blackburn, D. J., Wilkinson, I. D., Soininen, H., & Venneri, A. (2019) · Cortex · doi:10.1016/j.cortex.2019.04.008 · Cited by 37
Fingelkurts, A. A., & Fingelkurts, A. A. (2022) · Applied Sciences · doi:10.3390/app12199560 · Cited by 43
Modeling Cognitive Trajectories Within Longitudinal Studies: A Focus on Older Adults
Steinerman, J. R., Hall, C. B., Sliwinski, M. J., & Lipton, R. B. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02982.x · Cited by 39
Missonnier, P., Herrmann, F. R., Rodriguez, C., Deiber, M., Millet, P., Fazio‐Costa, L., Gold, G., & Giannakopoulos, P. (2011) · Journal of Neural Transmission · doi:10.1007/s00702-011-0600-2 · Cited by 37
Proximal arm non-use when reaching after a stroke
Bakhti, K., Mottet, D., Schweighofer, N., Froger, J., & Laffont, I. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.07.055 · Cited by 37
Zarantonello, L., Schiff, S., Amodio, P., & Bisiacchi, P. S. (2019) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2019.1608900 · Cited by 38
The Controversial Effect of Age on Divergent Thinking Abilities: A Systematic Review
Fusi, G., Lavolpe, S., Crepaldi, M., & Rusconi, M. L. (2020) · The Journal of Creative Behavior · doi:10.1002/jocb.461 · Cited by 41
Liu, Y., Cai, Z.-J., Xue, S., Zhou, X.-Y., & Wu, F.-P. (2013) · Journal of clinical neuroscience · doi:10.1016/j.jocn.2012.04.020 · Cited by 41
Cognitive reserve in secondary progressive multiple sclerosis
Sumowski, J. F., Chiaravalloti, N. D., Leavitt, V. M., & DeLuca, J. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512440205 · Cited by 37
Cutuli, D., Rossi, S., Burello, L., Laricchiuta, D., Chiara, V. D., Foti, F., Bartolo, P. D., Musella, A., Gelfo, F., Centonze, D., et al. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2010.12.007 · Cited by 37
Puccioni, O., & Vallesi, A. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00327 · Cited by 36
Vleet, T. V., Degutis, J. M., Merzenich, M. M., Simpson, G. V., Zomet, A., & Dabit, S. (2016) · Cortex · doi:10.1016/j.cortex.2016.05.015 · Cited by 39
Cognitive reserve over the life course and risk of dementia: a systematic review and meta-analysis
Liu, Y., Lu, G., Liu, L., He, Y., & Gong, W. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1358992 · Cited by 41
Aschenbrenner, A. J., Balota, D. A., Fagan, A. M., Duchek, J. M., Benzinger, T. L. S., & Morris, J. C. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000776 · Cited by 37
Current Understanding of the Neurobiology and Longitudinal Course of Geriatric Depression
Weisenbach, S. L., & Kumar, A. (2014) · Current Psychiatry Reports · doi:10.1007/s11920-014-0463-y · Cited by 37
Sandry, J. D., DeLuca, J., & Chiaravalloti, N. D. (2014) · Journal of Neurology · doi:10.1007/s00415-014-7523-4 · Cited by 38
Nicotine Deprivation Influences P300 Markers of Cognitive Control
Evans, D. E., Maxfield, N. D., Rensburg, K. J. V., Oliver, J. A., Jentink, K. G., & Drobes, D. J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.159 · Cited by 37
Braak stage and trajectory of cognitive decline in noncognitively impaired elders
Mufson, E. J., Malek‐Ahmadi, M. H., Snyder, N. L., Ausdemore, J., Chen, K., & Perez, S. E. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.03.003 · Cited by 38
Bosnes, I., Almkvist, O., Bosnes, O., Stordal, E., Romild, U. K., & Nordahl, H. M. (2016) · International Psychogeriatrics · doi:10.1017/s1041610216001861 · Cited by 43
Ihle, A., Gouveia, É. R., de Gouveia, B. R. F. O., Freitas, D. L., Jurema, J., Odim, A. P., & Kliegel, M. (2017) · International Psychogeriatrics · doi:10.1017/s1041610217000795 · Cited by 36
Campêlo, C. L. D. C., Cagni, F. C., Figueredo, D. D. S., de Oliveira, L. G., Silva-Neto, A. B., Macêdo, P. T., dos Santos, J. R., Izídio, G. S., Ribeiro, A. M., de Andrade, T. G., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00198 · Cited by 36
Yang, L., & Wang, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103451 · Cited by 36
Siegwart, V., Benzing, V., Spitzhüttl, J. S., Schmidt, M., Grotzer, M. A., Steinlin, M. I., Leibundgut, K., Roebers, C. M., & Everts, R. (2020) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2020.1844243 · Cited by 36
Anderson, J. A. E., Grundy, J. G., Grady, C. L., Craik, F. I. M., & Bialystok, E. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.108071 · Cited by 43
Sojkova, J., & Resnick, S. M. (2011) · Current Alzheimer Research · doi:10.2174/156720511795745375 · Cited by 36
Does compensatory neural activity survive old-old age?
Daffner, K. R., Sun, X., Tarbi, E. C., Rentz, D. M., Holcomb, P. J., & Riis, J. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.006 · Cited by 35
Groussard, M., Coppalle, R., Hinault, T., & Platel, H. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.557642 · Cited by 35
Miller, K. B., Mi, K. L., Nelson, G. A., Norman, R. B., Patel, Z. S., & Huff, J. L. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.1008640 · Cited by 38
Does the “Healthy Immigrant Effect” Extend to Cognitive Aging?
Hill, T. D., Angel, J. L., & Balistreri, K. S. (2012) · Springer eBooks · doi:10.1007/978-1-4614-1867-2_3 · Cited by 35
The Synergistic Effects of HIV, Diabetes, and Aging on Cognition
Vance, D. E., Fazeli, P. L., Dodson, J. E., Ackerman, M. L., Talley, M. H., & Appel, S. J. (2014) · Journal of Neuroscience Nursing · doi:10.1097/jnn.0000000000000074 · Cited by 36
Cognitive Interventions to Enhance Neural Compensation in Huntington’s Disease
Andrews, S. C., Domínguez, J. F., Mercieca, E., Georgiou‐Karistianis, N., & Stout, J. C. (2015) · Neurodegenerative Disease Management · doi:10.2217/nmt.14.58 · Cited by 35
Janowitz, D., Schwahn, C., Borchardt, U., Wittfeld, K., Schulz, A., Barnow, S., Biffar, R., Hoffmann, W. U., Habes, M., Homuth, G., et al. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.102 · Cited by 37
The cognitive reserve theory in the setting of pediatric-onset multiple sclerosis
Pastò, L., Portaccio, E., Goretti, B., Ghezzi, A., Lori, S., Hakiki, B., Giannini, M., Righini, I., Razzolini, L., Niccolai, C., et al. (2016) · Multiple Sclerosis Journal · doi:10.1177/1352458516629559 · Cited by 35
Preserved metacognitive ability despite unilateral or bilateral anterior prefrontal resection
Lemaitre, A., Herbet, G., Duffau, H., & Lafargue, G. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.10.004 · Cited by 35
Mart'inez, J. H., López, M. E., Ariza, P., Chavez, M., Pineda-Pardo, J., López-Sanz, D., Gil, P., Maestú, F., & Buldú, J. M. (2017) · Scientific Reports · doi:10.1038/s41598-018-28747-6 · Cited by 29
Brain Aging: Uncovering Cortical Characteristics of Healthy Aging in Young Adults
Bajaj, S., Alkozei, A., Dailey, N. S., & Killgore, W. D. S. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00412 · Cited by 36
The Barcelona Brain Health Initiative: Cohort description and first follow-up
Cattaneo, G., Bartrés‐Faz, D., Morris, T. P., Sánchez, J. S., Macià, D., Tormos, J. M., & Pascual‐Leone, Á. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228754 · Cited by 40
Schoentgen, B., Gagliardi, G. P., & Defontaines, B. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01814 · Cited by 44
Late-life depression accentuates cognitive weaknesses in older adults with small vessel disease
Oberlin, L. E., Respino, M., Victoria, L. W., Abreu, L., Hoptman, M. J., Alexopoulos, G. S., & Gunning, F. M. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-00973-z · Cited by 41
Microglia and modifiable life factors: Potential contributions to cognitive resilience in aging
Duggan, M. R., & Parikh, V. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113207 · Cited by 38
A Unified Model of Resilience and Aging: Applications to COVID-19
Wister, A., Klasa, K., & Linkov, I. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.865459 · Cited by 42
Mild cognitive impairment: effect of education on the verbal and nonverbal tasks performance decline
Vadikolias, Κ., Tsiakiri, A., Trιpsianis, G., Tsivgoulis, G. K., Ioannidis, P., Serdari, A., Heliopoulos, J., Livaditis, M., & Piperidou, C. (2012) · Brain and Behavior · doi:10.1002/brb3.88 · Cited by 37
Çizginer, S., Marcantonio, E. R., Vasunilashorn, S. M., Pascual‐Leone, Á., Shafi, M. M., Schmitt, E. M., Inouye, S. K., & Jones, R. N. (2017) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988717732152 · Cited by 35
The protective role of brain size in Alzheimer’s disease
Whitwell, J. L. (2010) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.168 · Cited by 35
Dynamic functional connectivity patterns associated with dementia risk
Dautricourt, S., Gonneaud, J., Landeau, B., Calhoun, V. D., de Florès, R., Poisnel, G., Bougacha, S., Ourry, V., Touron, E., Kuhn, E., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01006-7 · Cited by 41
Zhang, Y. S., O’Shea, B. Q., Yu, X., Cho, T., Zhang, K. P., Kler, J. S., Langa, K. M., Weir, D. R., Gross, A. L., & Kobayashi, L. C. (2024) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbae005 · Cited by 39
Summers, M. J., Saunders, N. L., Valenzuela, M., Summers, J. J., Ritchie, K. A., Robinson, A., & Vickers, J. C. (2013) · International Psychogeriatrics · doi:10.1017/s1041610213000380 · Cited by 34
Ihle, A., Gouveia, É. R., de Gouveia, B. R. F. O., Freitas, D. L., Jurema, J., Machado, F. T., & Kliegel, M. (2017) · Journal of Aging and Health · doi:10.1177/0898264317708883 · Cited by 34
Reduced Syntactic Processing Efficiency in Older Adults During Sentence Comprehension
Zhu, Z., Hou, X., & Yang, Y. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00243 · Cited by 37
The impact of cognitive reserve on neurocognitive performance in Major Depressive Disorder
Venezia, R., Gorlyn, M., Burke, A. K., Oquendo, M. A., Mann, J. J., & Keilp, J. G. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.09.031 · Cited by 36
Hussenoeder, F. S., Riedel-Heller, S. G., Conrad, I., & Rodriguez, F. S. (2019) · American Journal of Health Promotion · doi:10.1177/0890117119861309 · Cited by 37
The relationship between cognitive decline and a genetic predictor of educational attainment
Ding, X., Barban, N., Tropf, F. C., & Mills, M. C. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.112549 · Cited by 34
Balduino, E., de Melo, B. A. R., da Silva, L. D. S. M., Martinelli, J. E., & Cecato, J. F. (2019) · International Psychogeriatrics · doi:10.1017/s1041610219001364 · Cited by 36
Fleck, J. I., Arnold, M. S., Dykstra, B., Casario, K., Douglas, E. A., & Morris, O. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00310 · Cited by 34
Massa, E., Köpke, B., & Yagoubi, R. E. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107336 · Cited by 34
Hubacher, M., DeLuca, J., Weber, P., Steinlin, M. I., Kappos, L., Opwis, K., & Penner, I. (2015) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-150497 · Cited by 36
Executive functions and neurocognitive aging
Reuter‐Lorenz, P. A., Festini, S. B., & Jantz, T. K. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816094-7.00019-2 · Cited by 38
Cortical Proteins and Individual Differences in Cognitive Resilience in Older Adults
Zammit, A. R., Yu, L., Petyuk, V., Schneider, J. A., Jager, P. L. D., Klein, H.-U., Bennett, D. A., & Buchman, A. S. (2022) · Neurology · doi:10.1212/wnl.0000000000200017 · Cited by 34
Longitudinal episodic memory trajectories in older adults with normal cognition
Liampas, I., Folia, V., Ntanasi, E., Yannakoulia, M., Sakka, P., Hadjigeorgiou, G., Scarmeas, N., Dardiotis, E., & Kosmidis, M. (2022) · Clinical Neuropsychologist · doi:10.1080/13854046.2022.2059011 · Cited by 32
Pillet, L., Taccola, C., Cotoni, J., Thiriez, H., André, K., & Verpillot, R. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0841-7 · Cited by 37
Böttcher, A., Zarucha, A., Köbe, T., Gaubert, M., Höppner, A., Fabel, K., Altenstein, S., Bartels, C., Büerger, K., Dechent, P., et al. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.945709 · Cited by 40
Hindle, J. V., Martin‐Forbes, P. A., Bastable, A. J. M., Pye, K. L., Martyr, A., Whitaker, C. J., Craik, F. I. M., Bialystok, E., THOMAS, E. M., Gathercole, V. C. M., et al. (2015) · Parkinson s Disease · doi:10.1155/2015/943572 · Cited by 38
Socioeconomic status is positively correlated with frontal white matter integrity in aging
Johnson, N. F., Kim, C., & Gold, B. T. (2012) · AGE · doi:10.1007/s11357-012-9493-8 · Cited by 35
Arola, A., Laakso, H. M., Pitkänen, J., Koikkalainen, J. R., Lötjönen, J. M. P., Korvenoja, A., Erkinjuntti, T., Melkas, S., & Jokinen, H. (2021) · European Journal of Neurology · doi:10.1111/ene.14910 · Cited by 37
Berezuk, C., Scott, S. C., Black, S. E., & Zakzanis, K. K. (2021) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2022.2047160 · Cited by 37
Varela‐López, B., Cruz-Gómez, Á. J., Lojo‐Seoane, C., Dı́az, F., Pereiro, A. X., Zurrón, M., Lindı́n, M., & Galdo‐Álvarez, S. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.05.012 · Cited by 35
Patterns of Change in Cognitive Function over Six Months in Adults with Chronic Heart Failure
Riegel, B. J., Lee, C. S., Glaser, D. N., & Moelter, S. T. (2012) · Cardiology Research and Practice · doi:10.1155/2012/631075 · Cited by 33
The importance of cognitive ageing for understanding dementia
Singh‐Manoux, A., & Mika Kivimaki, B. (2010) · AGE · doi:10.1007/s11357-010-9147-7 · Cited by 39
Mathews, M. J., Abner, E. L., Kryscio, R. J., Jicha, G. A., Cooper, G. E., Smith, C. D., Caban‐Holt, A., & Schmitt, F. A. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.11.007 · Cited by 35
Jacobsen, G. M., Mello, C., Kochhann, R., & Fonseca, R. P. (2017) · Applied Cognitive Psychology · doi:10.1002/acp.3338 · Cited by 43
A unified model of first and second language learning
MacWhinney, B. (2018) · Trends in language acquisition research · doi:10.1075/tilar.22.15mac · Cited by 33
Spatial mental representations: the influence of age on route learning from maps and navigation
Muffato, V., Meneghetti, C., & Béni, R. D. (2018) · Psychological Research · doi:10.1007/s00426-018-1033-4 · Cited by 35
Shaked, D., Katzel, L. I., Seliger, S. L., Gullapalli, R. P., Davatzikos, C. A., Erus, G., Evans, M. K., Zonderman, A. B., & Waldstein, S. R. (2018) · Neuropsychology · doi:10.1037/neu0000484 · Cited by 32
Serra, L., Gelfo, F., Petrosini, L., Domenico, C. D., Bozzali, M., & Caltagirone, C. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180609 · Cited by 32
Peterson, R. L., Fain, M. J., Butler, E. A., Ehiri, J. E., & Carvajal, S. C. (2019) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2019.1598539 · Cited by 33
Kaur, N., Dendukuri, N., Fellows, L. K., Brouillette, M., & Mayo, N. E. (2019) · AIDS Care · doi:10.1080/09540121.2019.1612017 · Cited by 33
Lin, C., Huang, C., Fan, Y., Liu, H., Chen, Y.-L., Aizenstein, H. J., Lee, T. M.-C., & Lee, S. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00249 · Cited by 32
Yasuno, F., Minami, H., Hattori, H., & Initiative, A. D. N. (2020) · Psychogeriatrics · doi:10.1111/psyg.12552 · Cited by 32
Conti, L., Riccitelli, G. C., Preziosa, P., Vizzino, C., Marchesi, O., Rocca, M. A., & Filippi, M. (2021) · Journal of Neurology · doi:10.1007/s00415-020-10331-6 · Cited by 33
Accrual of functional redundancy along the lifespan and its effects on cognition
Sadiq, M. U., Langella, S., Giovanello, K. S., Mucha, P. J., & Dayan, E. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117737 · Cited by 35
Sebastián, M., Avilés, J. M. R., & Ballesteros, S. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.10.013 · Cited by 37
Atividades Avançadas de Vida Diária (AAVD) e desempenho cognitivo entre idosos
de Oliveira, E. M., da Silva, H. S., Lopes, A., Cachioni, M., Falcão, D. V. D. S., Batistoni, S. S. T., Neri, A. L., & Yassuda, M. S. (2015) · Psico-USF · doi:10.1590/1413-82712015200110 · Cited by 33
Sundgren, M., Nikulin, V. V., Maurex, L., Wåhlin, Å., Piehl, F., & Brismar, T. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.07.024 · Cited by 33
Cognitive Reserve in Granulin-Related Frontotemporal Dementia: from Preclinical to Clinical Stages
Premi, E., Gazzina, S., Bozzali, M., Archetti, S., Alberici, A., Cercignani, M., Bianchetti, A., Gasparotti, R., Turla, M., Caltagirone, C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074762 · Cited by 35
Fernández‐Cabello, S., Valls‐Pedret, C., Schurz, M., Dídac Vidal-piñeiro, A., Sala‐Llonch, R., Bargalló, N., Ros, E., & Bartrés‐Faz, D. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.008 · Cited by 32
Nackaerts, E., Nieuwboer, A., Broeder, S., Smits-Engelsman, B. C. M., Swinnen, S. P., Vandenberghe, W., & Heremans, E. (2015) · Neurorehabilitation and neural repair · doi:10.1177/1545968315601361 · Cited by 32
Zihl, J., Fink, T., Pargent, F., Ziegler, M. D., & Bühner, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084590 · Cited by 36
Scheller, E., Abdulkadir, A., Peter, J., Tabrizi, S. J., Frackowiak, R. S. J., & Klöppel, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.058 · Cited by 32
Pathways of Prevention: A Scoping Review of Dietary and Exercise Interventions for Neurocognition
Smith, P. J. (2019) · Brain Plasticity · doi:10.3233/bpl-190083 · Cited by 35
Ferreiro, E. B., Lanzillo, M., Canhoto, D. M. M., Silva, A. C., Mota, S. I., Dias, I. S., Ferreira, I. L., Fontes, A. R., Mastrella, G., Pinheiro, P. S., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.04.003 · Cited by 33
Köhncke, Y., Düzel, S., Sander, M. C., Lindenberger, U., Kühn, S., & Brandmaier, A. M. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa287 · Cited by 31
Education and age-related differences in cortical thickness and volume across the lifespan
Steffener, J. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.034 · Cited by 32
Metadata
- Authors
- Stern, Y.
- Affiliations
- Columbia University Irving Medical Center (US)
- Corresponding author
- Stern, Yaakov
- ORCID
- Stern, Yaakov
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 47
- Issue
- 10
- Pages
- 2015-2028
- ISSN
- 0028-3932 (ISSN-L)
- PMC
- PMC2739591
- OpenAlex
- W4251404648
- Cited by
- 2,943
- References
- 0
- Citations by year
- 2026: 236 · 2025: 241 · 2024: 211 · 2023: 211 · 2022: 199 · 2021: 253 · 2020: 217 · 2019: 227 · 2018: 166 · 2017: 170 · 2016: 150 · 2015: 131 · 2014: 120 · 2013: 132 · 2012: 120
- FWCI
- 56.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG026158, R01-AG26158)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- cognitive reserve, brain reserve, dementia, aging, neuroimaging methodology
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Brain, Brain Mapping, Cognition, Humans, Magnetic Resonance Imaging, Middle Aged, Neuropsychological Tests, Young Adult
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
