What are the later life contributions to reserve, resilience, and compensation?
Open accessAbstract
Many studies have shown that early-life experiences can contribute to later life cognitive reserve and resilience. However, there is evidence to suggest that later life experiences and lifestyle choices can also play a vital role in the brain's ability to respond to and compensate for neural insults associated with aging. Engaging in a diversity of behaviorally, socially, and cognitively rich activities may forge new neural pathways that can perhaps provide greater flexibility in confronting the challenges associated with accumulating brain pathology. Studies of cognitively normal individuals with pathology and of individuals who have aged exceptionally well may provide insights that are generalizable to the overall elderly population.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Flexibility in later life can reduce the cognitive decline associated with ageing.
“Likewise, flexibility in later life can mitigate the effects of ageing on cognitive decline4.”
From Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations (2021) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Handbook of aging and cognition
(1993) · Choice Reviews Online · doi:10.5860/choice.30-3520 · Cited by 1,603 · see citing works
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153 · see citing works
Rohwedder, S., & Willis, R. J. (2010) · Journal of Economic Perspectives · doi:10.1257/jep.24.1.119 · Cited by 434 · see citing works
Self-citationEarly frontotemporal dementia targets neurons unique to apes and humans
Seeley, W. W., Carlin, D. A., Allman, J. M., Macedo, M. N., Bush, C., Miller, B. L., & DeArmond, S. J. (2006) · Annals of Neurology · doi:10.1002/ana.21055 · Cited by 364 · see citing works
Mormino, E. C., Smiljic, A., Hayenga, A. O., Onami, S. H., Greicius, M. D., Rabinovici, G. D., Janabi, M., Baker, S. L., Yen, I. V., Madison, C. M., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr025 · Cited by 332 · see citing works
Self-citationAmyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease
Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Ward, A. M., Huijbers, W., Rentz, D. M., Johnson, K. A., Sperling, R. A., & For the Alzheimer's Disease Neuroimaging Initiative, T. A. I. B. A. L. F. S. O. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000431 · Cited by 290 · see citing works
Self-citationMental work demands, retirement, and longitudinal trajectories of cognitive functioning.
Fisher, G. G., Stachowski, A., Infurna, F. J., Faul, J. D., Grosch, J., & Tetrick, L. E. (2014) · Journal of Occupational Health Psychology · doi:10.1037/a0035724 · Cited by 236 · see citing works
Superior memory and higher cortical volumes in unusually successful cognitive aging
Harrison, T. M., Weintraub, S., Mesulam, M.-M., & Rogalski, E. (2012) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617712000847 · Cited by 224 · see citing works
Rogalski, E. J., Gefen, T. D., Shi, J., Samimi, M., Bigio, E. H., Weıntraub, S., Geula, C., & Mesulam, M. M. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00300 · Cited by 197 · see citing works
Self-citationPattern Separation Deficits May Contribute to Age-Associated Recognition Impairments
Burke, S., Wallace, J. L., Nematollahi, S., Uprety, A., & Barnes, C. A. (2010) · Behavioral Neuroscience · doi:10.1037/a0020893 · Cited by 174 · see citing works
Self-citationvon Economo neurons in autism: A stereologic study of the frontoinsular cortex in children
Santos, M., Uppal, N., Butti, C., Wicinski, B., Schmeidler, J., Giannakopoulos, P., Heinsen, H., Schmitz, C., & Hof, P. R. (2011) · Brain Research · doi:10.1016/j.brainres.2010.08.067 · Cited by 164 · see citing works
Aiming for Efficiency Rather than Proficiency
Neal, D. A. (2010) · The Journal of Economic Perspectives · doi:10.1257/jep.24.3.119 · Cited by 162 · see citing works
A Population-Based Clinicopathological Study in the Oldest-Old: The 90+ Study
M. Corrada, M., J. Berlau, D., & H. Kawas, C. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322537 · Cited by 162 · see citing works
Self-citationGefen, T. D., Peterson, M., Papastefan, S. T., Martersteck, A., Whitney, K. R., RADEMAKER, A. W., Bigio, E. H., Weıntraub, S., Rogalski, E. J., Mesulam, M. M., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2998-14.2015 · Cited by 157 · see citing works
Self-citationNew considerations in aging and memory: The glass may be half full.
McDaniel, M. A., Einstein, G. O., & Jacoby, L. L. (2008) · Cited by 118 · see citing works
Alzheimers and Dementia in the Oldest-Old: A Century of Challenges
Kawas, C. H., & Corrada, M. M. (2006) · Current Alzheimer Research · doi:10.2174/156720506779025233 · Cited by 112 · see citing works
Self-citationVon Economo neuron density in the anterior cingulate cortex is reduced in early onset schizophrenia
Brüne, M., Schöbel, A., Karau, R., Benali, A., Faustmann, P. M., Juckel, G., & Petrasch‐Parwez, E. (2010) · Acta Neuropathologica · doi:10.1007/s00401-010-0673-2 · Cited by 94 · see citing works
Longitudinal Neuropsychological Performance of Cognitive SuperAgers
Gefen, T. D., Shaw, E. E., Whitney, K. R., Martersteck, A., Stratton, J. M. B., RADEMAKER, A. W., Weıntraub, S., Mesulam, M. M., & Rogalski, E. J. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12967 · Cited by 91 · see citing works
Self-citationPsychological well-being in elderly adults with extraordinary episodic memory
Maher, A. C., Kielb, S., Loyer, E., Connelley, M., RADEMAKER, A. W., Mesulam, M. M., Weıntraub, S., McAdams, D. P., Logan, R. L., & Rogalski, E. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186413 · Cited by 85 · see citing works
Self-citationRates of Cortical Atrophy in Adults 80 Years and Older With Superior vs Average Episodic Memory
Cook, A. H., Sridhar, J., Ohm, D. T., RADEMAKER, A. W., Mesulam, M. M., Weıntraub, S., & Rogalski, E. J. (2017) · JAMA · doi:10.1001/jama.2017.0627 · Cited by 76 · see citing works
Self-citationJo, Y. S., & Lee, I. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1580-10.2010 · Cited by 69 · see citing works
Cognitive trajectories and spectrum of neuropathology in S uper A gers: The first 10 cases
Rogalski, E. J., Gefen, T. D., Mao, Q., Connelly, M., Weıntraub, S., Geula, C., Bigio, E. H., & Mesulam, M. M. (2018) · Hippocampus · doi:10.1002/hipo.22828 · Cited by 67 · see citing works
Self-citationNeuroanatomical Correlates of Suicide in Psychosis: The Possible Role of von Economo Neurons
Brüne, M., Schöbel, A., Karau, R., Faustmann, P. M., Dermietzel, R., Juckel, G., & Petrasch‐Parwez, E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020936 · Cited by 53 · see citing works
Age-related impairments in object-place associations are not due to hippocampal dysfunction.
Hernandez, A. R., Maurer, A. P., Reasor, J. E., Turner, S. M., Barthle, S. E., Johnson, S. A., & Burke, S. N. (2015) · Behavioral Neuroscience · doi:10.1037/bne0000093 · Cited by 38 · see citing works
Self-citationBurke, S. N., Hartzell, A. L., Lister, J. P., Hoang, L. T., & Barnes, C. A. (2012) · Hippocampus · doi:10.1002/hipo.22066 · Cited by 34 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations
Uddin, L. Q. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00428-w · Cited by 698 · see citing works
Simulated visual hallucinations in virtual reality enhance cognitive flexibility
Rastelli, C., Greco, A., Kenett, Y. N., Finocchiaro, C., & Pisapia, N. D. (2022) · Scientific Reports · doi:10.1038/s41598-022-08047-w · Cited by 69 · see citing works
Cognitive interventions for memory and psychological well-being in aging and dementias
Dinius, C. J., Pocknell, C. E., Caffrey, M. P., & Roche, R. A. P. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1070012 · Cited by 58 · see citing works
McAvan, A. S., Du, Y. K., Oyao, A., Doner, S., Grilli, M. D., & Ekstrom, A. D. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.640188 · Cited by 38 · see citing works
Cognitive flexibility: neurobehavioral correlates of changing one’s mind
Zühlsdorff, K., Dalley, J. W., Robbins, T. W., & Morein‐Zamir, S. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac431 · Cited by 33 · see citing works
Elevated Dopamine Synthesis as a Mechanism of Cognitive Resilience in Aging
Ciampa, C. J., Parent, J. H., LaPoint, M. R., Swinnerton, K. N., Taylor, M. M., Tennant, V. R., Whitman, A., Jagust, W. J., & Berry, A. S. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab379 · Cited by 27 · see citing works
Zhang, J., Liu, D., Fu, P., Liu, Z., Lai, C., Yang, C., Chen, K., Bao, W.-D., Hu, F., Du, H., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01694-5 · Cited by 27 · see citing works
Assis, A. P. M., de Oliveira, B. T. N., Gomes, A. L., Soares, A. D. N., Guimarães, N. S., & Gomes, J. M. G. (2020) · Geriatric Nursing · doi:10.1016/j.gerinurse.2020.06.014 · Cited by 19 · see citing works
Voits, T., DeLuca, V., & Abutalebi, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.909266 · Cited by 19 · see citing works
Treyer, V., Meyer, R., Buchmann, A., Crameri, G. A. G., Studer, S. T., Saake, A., Gruber, E., Unschuld, P. G., Nitsch, R. M., Höck, C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247225 · Cited by 16 · see citing works
Li, T., Xia, H., Li, H., He, Q., & Chen, A. (2023) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbad092 · Cited by 17 · see citing works
Distribution of biomarkers of aging in people with different personality types (in Russia)
Berezina, T. N. (2020) · E3S Web of Conferences · doi:10.1051/e3sconf/202021017028 · Cited by 14 · see citing works
Ourry, V., Rehel, S., André, C., Mary, A., Paly, L., Delarue, M., Requier, F., Hendy, A. S., Collette, F., Marchant, N. L., et al. (2023) · Aging · doi:10.18632/aging.204943 · Cited by 12 · see citing works
Pan, C., Chu, C., Chen, C., Chuang, Y., & Chen, N.-C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168576 · Cited by 8 · see citing works
Reframing oxytocin as a behavioral flexibility hormone
Walle, K. M., Sartorius, A. M., Deilhaug, E., Kang, H., Nærland, T., Andreassen, O. A., Westlye, L. T., & Quintana, D. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106628 · Cited by 8 · see citing works
Richard, E., McEvoy, L. K., Deary, I. J., Davies, G., Cao, S., Oren, E., Alcaraz, J. E., LaCroix, A. Z., Bressler, J., & Salem, R. M. (2022) · BMC Nephrology · doi:10.1186/s12882-022-02750-6 · Cited by 5 · see citing works
How to Improve Cognitive Flexibility: Evidence From Noninvasive Neuromodulation Techniques
Akbari‐Gharalari, N., Fallahi, S., Nakhjiri, E., Hosseini, L., Pakkhou, S., Havaei, N., Khodakarimi, S., Shahabi, P., Jafarzadehgharehziaaddin, M., & Zangbar, H. S. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70613 · Cited by 6 · see citing works
Örün, Ö., & Sever, İ. (2024) · Advances in educational marketing, administration, and leadership book series · doi:10.4018/979-8-3693-6040-8.ch007 · Cited by 3 · see citing works
de Coca, T. L., Moreno, L., Pardo, J., Pérez‐Tur, J., Ramos, H., & Villagrasa, V. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1395877 · Cited by 3 · see citing works
Personal characteristics affecting the biological age of the individual
Berezina, T. N., & Buzanov, K. E. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202128409008 · Cited by 3 · see citing works
Can we promote cognitive resilience in late-life depression?
Dotson, V. M. (2022) · International Psychogeriatrics · doi:10.1017/s1041610222000941 · Cited by 3 · see citing works
Haidarian, M., & Pourmohamadreza‐Tajrishi, M. (2025) · Archives of Neuroscience · doi:10.5812/ans-161967 · Cited by 2 · see citing works
Anstey, K. J., Brady, B., Zheng, L., Koch, J., Huque, M. H., Lupton, M. K., Martins, R. N., Ashworth, D., Goddard, E., Wilson, N., et al. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1710349 · Cited by 2 · see citing works
Evaluación de la Flexibilidad Cognitiva en la vejez: Evidencias de validez del Test CAMBIOS
Krzemien, D., Bario, D. A., Ferreyra, F. A., & Richard’s, M. M. (2023) · Revista Evaluar · doi:10.35670/1667-4545.v23.n3.43890 · Cited by 2 · see citing works
Does neurodevelopmental load predict cognitive flexibility?
Carpentier, A., Durand, A., Naassïla, M., Lecardeur, L., & Bralet, M. (2026) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2026.100446 · Cited by 1 · see citing works
Watson, P., Smith, M., Koychev, I. G., Gallacher, J., & Bauermeister, S. (2024) · medRxiv · doi:10.1101/2024.11.15.24317375 · Cited by 1 · see citing works
The development of psychological models for predicting health conditions in retirement age
Berezina, T. N., & Chumakova, E. A. (2021) · Психология и Психотехника · doi:10.7256/2454-0722.2021.1.34176
Georgousopoulou, E. N., Mellor, D. D., & Panagiotakos, D. B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818000-6.00003-2
Aki, Ö. E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-98804-9.00028-1
Broadening the identification of superior cognition in older age
Rogalski, E. J. (2023) · Arquivos de Neuro-Psiquiatria · doi:10.1055/s-0043-1764451
Self-citationCognition in Whitehall II ’SuperAgers’: An Analysis of Dementia Risk FactorsPreprint
Watson, P., Ebrahimi, O. V., Gallacher, J., & Bauermeister, S. (2025) · medRxiv · doi:10.1101/2025.08.12.25333490
Yook, V., Jung, J.-H., Han, K., Kim, H., & Jeon, H. J. (2025) · Psychiatry Investigation · doi:10.30773/pi.2025.0085
Richard, E. L., McEvoy, L. K., Deary, I. J., Davies, G., Cao, S., Oren, E., Alcaraz, J. E., LaCroix, A. Z., Bressler, J., & Salem, R. M. (2022) · Figshare · doi:10.6084/m9.figshare.19670158
Afghan, R., Zangbar, H. S., Heysieattalab, S., Kalan, A. E., Besharat, A., & Samadzadehaghdam, N. (2026) · Journal of Medical Signals & Sensors · doi:10.4103/jmss.jmss_100_25
Alexander, C. A., Moore, S., Kadey, K. R., Capuano, A. W., Goicoechea, E. B., Schafer, R., Balog, V., Goldstein, F. C., Okonkwo, O. C., Roberts, A., et al. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1819539
Self-citation
- Authors
- Burke, S. N., Mormino, E. C., Rogalski, E. J., Kawas, C. H., Willis, R. J., & Park, D. C.
- Affiliations
- University of Florida (US)
- Stanford Medicine (US)
- Northwestern University (US)
- University of California, Irvine (US)
- University of Michigan (US)
- The University of Texas at Dallas (US)
- Corresponding author
- Park, Denise C.
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 83
- Pages
- 140-144
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC6989050
- OpenAlex
- W2971493727
- Cited by
- 35
- References
- 25
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 8 · 2021: 8 · 2020: 2
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neurobiology of Aging (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Funders
- Evelyn F. McKnight Brain Research Foundation
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- cognitive reserve, resilience, compensation, lifestyle choices, brain aging, neuroplasticity, cognitive aging, neuropathology, exceptional longevity, cognitively normal older adults
- MeSH terms
- Aged, Aging, Alzheimer Disease, Brain, Cognition, Humans, Life Style, Cognitive Reserve
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