The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Selective review of cognitive aging
Open accessAbstract
Research concerned with relations between adult age and cognitive functioning is briefly reviewed. The coverage is necessarily selective, and is organized in terms of five major questions. These are what abilities are related to age, how many distinct influences are contributing to the relations between age and cognitive functioning, do the differences between people increase with advancing age, what is responsible for the discrepancies between cross-sectional and longitudinal age comparisons of cognitive functioning, and what methods can be used to identify causes of age-related influences on cognition. Although definitive answers are not yet possible, quite a bit of information relevant to the questions is now available. Moreover, the existing information has implications for the design, analysis, and interpretation of cognitive and neuropsychological research concerned with aging. ( JINS , 2010, 16 , 754–760.)
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While crystallized cognition (e.g., acquired knowledge, vocabulary) is relatively preserved in late life, older adults’ ability to successfully manage day-to-day tasks can be negatively impacted by prototypical declines in fluid cognitive abilities (e.g., processing speed, attention, executive functioning) [2–4].”
From Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial (2023) · cites this paper as [3]
Experimental — accuracy not yet measuredIn the citing paper
“These changes typically manifest at ages younger than those at which plaque deposition typically begins.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [245]
In the citing paper
“Lastly, it is worth noting that at least some elements of cognitive decline evolve throughout adulthood [195, 242-245].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [245]
In the citing paper
“Cognitive speed and multitasking abilities, for example, become less robust with advancing age.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [245]
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
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
When does age-related cognitive decline begin?
Salthouse, T. A. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.023 · Cited by 1,848
Self-citationExecutive Functioning as a Potential Mediator of Age-Related Cognitive Decline in Normal Adults.
Salthouse, T. A., Atkinson, T. M., & Berish, D. E. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.4.566 · Cited by 1,057
Self-citationIndividual differences in rates of change in cognitive abilities of older persons.
Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.179 · Cited by 842
Rönnlund, M., Nyberg, L., Bäckman, L., & Nilsson, L.-G. (2005) · Psychology and Aging · doi:10.1037/0882-7974.20.1.3 · Cited by 839
The measurement of adult intelligence.
Cattell, R. B. (1943) · Psychological Bulletin · doi:10.1037/h0059973 · Cited by 698
der Elst, W. V., van Boxtel, M. P. J., van Breukelen, G., & Jolles, J. (2006) · Assessment · doi:10.1177/1073191105283427 · Cited by 687
Relations Between Cognitive Abilities and Measures of Executive Functioning.
Salthouse, T. A. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.4.532 · Cited by 539
Self-citationDouble dissociation between item and source memory.
Glisky, E. L., Polster, M. R., & Routhieaux, B. C. (1995) · Neuropsychology · doi:10.1037/0894-4105.9.2.229 · Cited by 463
Developmental Influences on Adult Intelligence: The Seattle Longitudinal Study
Schaie, K. W. (2012) · Medical Entomology and Zoology · Cited by 449
Research works printed but not linked: 1
- Craik, 2008, Handbook of cognitive aging
Cited by
Sorted by citations
Items 101–200 of 1,000
Atienza, M., Ziontz, J., & Cantero, J. L. (2018) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2018.08.002 · Cited by 76
Wong, C. N., Chaddock‐Heyman, L., Voss, M. W., Burzynska, A. Z., Basak, C., Erickson, K. I., Prakash, R. S., Szabo‐Reed, A. N., Phillips, S. M., Wójcicki, T. R., et al. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00154 · Cited by 82
Cognitive and motor aging in female chimpanzees
Agnès Lacreuse, A., Russell, J. L., Hopkins, W. D., & Herndon, J. G. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.08.036 · Cited by 73
Life cycle patterns of cognitive performance over the long run
Strittmatter, A., Sunde, U., & Zēgners, D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006653117 · Cited by 77
Turrini, S., Wong, B., Eldaief, M. C., Press, D. Z., Sinclair, D. A., Koch, G., Avenanti, A., & Santarnecchi, E. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101939 · Cited by 88
Young, K. L., Koppel, S., & Charlton, J. (2016) · Accident Analysis & Prevention · doi:10.1016/j.aap.2016.06.010 · Cited by 71
Pentikäinen, E., Pitkäniemi, A., Siponkoski, S., Jansson, M., Louhivuori, J., Johnson, J. K., Paajanen, T. I., & Särkämö, T. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245666 · Cited by 88
On the use of the P300 as a tool for cognitive processing assessment in healthy aging: A review
Pavarini, S. C. I., Brígola, A. G., Luchesi, B. M., Souza, É. N., Rossetti, E. S., Fraga, F. J., Costa-Guarisco, L. P., Terassi, M., de Oliveira, N. A., Hortense, P., et al. (2018) · Dementia & Neuropsychologia · doi:10.1590/1980-57642018dn12-010001 · Cited by 71
Fujishiro, K., MacDonald, L. A., Crowe, M. G., McClure, L. A., Howard, V. J., & Wadley, V. G. (2017) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbx112 · Cited by 71
Which Psychosocial Factors Best Predict Cognitive Performance in Older Adults?
Zahodne, L. B., Nowinski, C. J., Gershon, R. C., & Manly, J. J. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000186 · Cited by 77
Stigger, F. S., Zago Marcolino, M. A., Portela, K. M., & Plentz, R. D. M. (2019) · The Journals of Gerontology: Series A · doi:10.1093/gerona/gly173 · Cited by 68
van den Berg, E., Ruis, C., Biessels, G. J., Kappelle, L. J., & van Zandvoort, M. J. E. (2012) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2012.667066 · Cited by 69
Stringham, N. T., Holmes, P. V., & Stringham, J. M. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.112650 · Cited by 74
Persson, N., Ghisletta, P., Dahle, C. L., Bender, A. R., Yang, Y., Yuan, P., Daugherty, A. M., & Raz, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.028 · Cited by 63
Chiaravalloti, N. D., Weber, E., Wylie, G. R., Dyson‐Hudson, T. A., & Wecht, J. M. (2018) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2018.1543103 · Cited by 67
Mild Cognitive Impairment—A Treatable Condition
Morley, J. E. (2013) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2013.11.001 · Cited by 67
Pedersen, R., Geerligs, L., Andersson, M., Gorbach, T., Avelar‐Pereira, B., Wåhlin, A., Rieckmann, A., Nyberg, L. H., & Salami, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118449 · Cited by 75
Meister, H., Rählmann, S., Walger, M., Margolf-Hackl, S., & Kießling, J. (2015) · Clinical Interventions in Aging · doi:10.2147/cia.s77096 · Cited by 65
White Matter and Cognitive Decline in Aging: A Focus on Processing Speed and Variability
Nilsson, J., Thomas, A. J., O'Brien, J. T., & Gallagher, P. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713001458 · Cited by 70
Cohort Effects in Age-Associated Cognitive Trajectories
Dodge, H. H., Zhu, J., Lee, C.-W., Chang, C., & Ganguli, M. (2013) · The Journals of Gerontology Series A · doi:10.1093/gerona/glt181 · Cited by 74
de Chastelaine, M., Mattson, J. T., Wang, T. H., Donley, B. E., & Rugg, M. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.071 · Cited by 68
Quantification of the Biological Age of the Brain Using Neuroimaging
Cole, J. H., Franke, K., & Cherbuin, N. (2019) · Healthy ageing and longevity · doi:10.1007/978-3-030-24970-0_19 · Cited by 65
Terminal decline and practice effects in older adults without dementia
Dodge, H. H., Wang, C.-N., Chang, C.-C. H., & Ganguli, M. (2011) · Neurology · doi:10.1212/wnl.0b013e31822b0068 · Cited by 64
Indahlastari, A., Hardcastle, C., Albizu, A., Alvarez-Alvarado, S., Boutzoukas, E. M., Evangelista, N. D., Hausman, H. K., Kraft, J., Langer, K., & Woods, A. J. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s259499 · Cited by 64
Hausman, H. K., Hardcastle, C., Albizu, A., Kraft, J. N., Evangelista, N. D., Boutzoukas, E. M., Langer, K. G., O’Shea, A. M., Etten, E. J. V., Bharadwaj, P. K., et al. (2021) · GeroScience · doi:10.1007/s11357-021-00503-1 · Cited by 69
Negative Neuroplasticity in Chronic Traumatic Brain Injury and Implications for Neurorehabilitation
Tomaszczyk, J. C., Green, N. L., Frasca, D., Colella, B., Turner, G. R., Christensen, B. K., & Green, R. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9273-6 · Cited by 71
Nashiro, K., Sakaki, M., Braskie, M. N., & Mather, M. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.03.003 · Cited by 68
Shafto, M. A., James, L. E., Abrams, L., TYLER, L. K., & Cam-CAN (2016) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbw074 · Cited by 63
Whitley, E., Deary, I. J., Ritchie, S. J., Batty, G. D., Meena Kumari, B., & Benzeval, M. (2016) · Intelligence · doi:10.1016/j.intell.2016.07.001 · Cited by 70
Santos, N. C., Costa, P., Cunha, P., Cotter, J., Sampaio, A., Zihl, J., Almeida, O. F. X., Cerqueira, J., Palha, J. A., & Sousa, N. (2012) · AGE · doi:10.1007/s11357-012-9482-y · Cited by 62
Mental speed is high until age 60 as revealed by analysis of over a million participants
von Krause, M., Radev, S. T., & Voß, A. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01282-7 · Cited by 79
Hong, Z., Ng, K. K., Sim, S. K. Y., Ngeow, M. Y., Zheng, H., Lo, J. C.-Y., Chee, M. W. L., & Zhou, J. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.034 · Cited by 60
Santos, N. C., Costa, P., Cunha, P., Portugal‐Nunes, C., Amorim, L., Cotter, J., Cerqueira, J., Palha, J. A., & Sousa, N. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00021 · Cited by 57
The Experience of Being an Older Worker in an Organization: A Qualitative Analysis
Taneva, S., Arnold, J., & Nicolson, R. (2016) · Work Aging and Retirement · doi:10.1093/workar/waw011 · Cited by 60
Nexø, M. A., Meng, A., & Borg, V. (2016) · Occupational and Environmental Medicine · doi:10.1136/oemed-2016-103550 · Cited by 63
Cognitive reserve is not associated with improved performance in all cognitive domains
Lavrencic, L. M., Churches, O. F., & Keage, H. A. D. (2017) · Applied Neuropsychology Adult · doi:10.1080/23279095.2017.1329146 · Cited by 62
Rabinowitz, A. R., Hart, T., Whyte, J., & Kim, J. (2017) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717000996 · Cited by 61
Working memory, age and education: A lifespan fMRI study
Archer, J. A., Lee, A., Qiu, A., & Chen, S. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194878 · Cited by 63
Which Phish Is on the Hook? Phishing Vulnerability for Older Versus Younger Adults
Sarno, D. M., Lewis, J., Bohil, C. J., & Neider, M. B. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819855570 · Cited by 59
Wiener, J. M., & Pazzaglia, F. (2021) · Cognitive Processing · doi:10.1007/s10339-021-01031-8 · Cited by 79
Using Robust Normative Data to Investigate the Neuropsychology of Cognitive Aging
Harrington, K., Lim, Y. Y., Ames, D. J., Hassenstab, J. J., Rainey‐Smith, S. R., Robertson, J. S., Salvado, O., Masters, C. L., & Maruff, P. T. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acw106 · Cited by 59
Polygenic predictors of age-related decline in cognitive ability
Ritchie, S. J., Hill, W. D., Marioni, R. E., Davies, G., Hagenaars, S. P., Harris, S. E., Cox, S. R., Taylor, A. M., Corley, J., Pattie, A., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0372-x · Cited by 59
Inflammaging and Brain: Curcumin and Its Beneficial Potential as Regulator of Microglia Activation
Cianciulli, A., Calvello, R., Ruggiero, M., & Panaro, M. A. (2022) · Molecules · doi:10.3390/molecules27020341 · Cited by 60
Wesnes, K. A., Brooker, H. J., Ballard, C. G., McCambridge, L. J. E., Stenton, R., & Corbett, A. (2017) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4659 · Cited by 59
Brickman, A. M., Yeung, L.-K., Alschuler, D. M., Ottaviani, J. I., Kuhnle, G. G. C., Sloan, R. P., Luttmann-Gibson, H., Copeland, T., Schroeter, H., Sesso, H. D., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2216932120 · Cited by 51
Age related prefrontal compensatory mechanisms for inhibitory control in the antisaccade task
Fernández-Ruíz, J., Peltsch, A. J., Alahyane, N., Brien, D. C., Coe, B. C., Garcia, A. A., & Munoz, D. P. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.001 · Cited by 60
Accelerated brain aging predicts impulsivity and symptom severity in depression
Dunlop, K., Victoria, L. W., Downar, J. H., Gunning, F. M., & Liston, C. M. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-00967-x · Cited by 56
Hormones as “difference makers” in cognitive and socioemotional aging processes
Ebner, N. C., Kamin, H. S., Diaz, V. G., Cohen, R. A., & MacDonald, K. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01595 · Cited by 59
Gonzalez‐Burgos, L., Hernandez-Cabrera, J. A., Westman, E., Barroso, J., & Ferreira, D. (2019) · Aging · doi:10.18632/aging.102040 · Cited by 64
Wang, J., Liang, C., & Li, K. (2020) · Healthcare · doi:10.3390/healthcare8040482 · Cited by 56
Stein, L. R., O’Dell, K. A., Funatsu, M., Zorumski, C. F., & Izumi, Y. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.05.020 · Cited by 60
Accelerated decline in cognition in a mouse model of increased oxidative stress
Logan, S., Royce, G. H., Owen, D. B., Farley, J. A., Ranjo‐Bishop, M., Sonntag, W. E., & Deepa, S. S. (2019) · GeroScience · doi:10.1007/s11357-019-00105-y · Cited by 56
Mukli, P., Pinto, C. B., Owens, C. D., Csípő, T., Lipécz, Á., Szarvas, Z., Péterfi, A., Pinaffi‐Langley, A. C. D. C., Hoffmeister, J. R., Rácz, F. S., et al. (2023) · Advanced Science · doi:10.1002/advs.202303516 · Cited by 53
Hakun, J. G., Zhu, Z., Brown, C. A., Johnson, N. F., & Gold, B. T. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.04.008 · Cited by 64
Is There a Link Between Cognitive Reserve and Cognitive Function in the Oldest-Old?
Lavrencic, L. M., Richardson, C. D., Harrison, S. L., Terrera, G. M., Keage, H. A. D., Brittain, K., Kirkwood, T. B. L., Jagger, C., Robinson, L. A., & Stephan, B. C. M. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx140 · Cited by 57
The benefits of Tai Chi and brisk walking for cognitive function and fitness in older adults
Ji, Z., Li, A.-M., Feng, T., Liu, X., You, Y., Meng, F., Wang, R., Lu, J., & Zhang, C. (2017) · PeerJ · doi:10.7717/peerj.3943 · Cited by 54
Ageing and human-system errors in manufacturing: a scoping review
Di Pasquale, V., Miranda, S., & Neumann, W. P. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1773561 · Cited by 53
Kliesch, M., & Pfenninger, S. E. (2021) · Modern Language Journal · doi:10.1111/modl.12696 · Cited by 55
Hammerschmidt, D., Frieler, K., & Wöllner, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.677201 · Cited by 53
Functional neuroimaging of normal aging: Declining brain, adapting brain
Sugiura, M. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.006 · Cited by 52
The Trajectory of Pseudoneglect in Adults: A Systematic Review
Friedrich, T. E., Hunter, P. V., & Elias, L. J. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9392-6 · Cited by 52
Connectome-based models can predict processing speed in older adults
Gao, M., Wong, C. H. Y., Huang, H., Shao, R., Huang, R., Chan, C. C. H., & Lee, T. M. C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117290 · Cited by 53
George, E. S., Sood, S., Daly, R. M., & Tan, S. (2022) · BMC Geriatrics · doi:10.1186/s12877-021-02721-w · Cited by 59
Nuthmann, A., Schütz, I., & Einhäuser, W. (2020) · Scientific Reports · doi:10.1038/s41598-020-78203-7 · Cited by 56
Moberly, A., Lewis, J. H., Vasil, K. J., Ray, C., & Tamati, T. N. (2021) · Otology and Neurotology · doi:10.1097/mao.0000000000003377 · Cited by 12
A longitudinal study on cognitive aging in autism
Torenvliet, C., Groenman, A. P., Radhoe, T. A., van Rentergem, J. A. A., van der Putten, W., & Geurts, H. M. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115063 · Cited by 54
Kawagoe, T., Onoda, K., & Yamaguchi, S. (2017) · Scientific Reports · doi:10.1038/srep40107 · Cited by 59
Longitudinal functional brain network reconfiguration in healthy aging
Malagurski, B., Liem, F., Oschwald, J., Mérillat, S., & Jäncke, L. (2020) · Human Brain Mapping · doi:10.1002/hbm.25161 · Cited by 54
Are Adverse Childhood Experiences Associated with Worse Cognitive Function in Older Adults?
Halpin, A., MacAulay, R. K., Boeve, A. R., D’Errico, L., & Michaud, S. (2021) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617721001272 · Cited by 56
Fauvel, B., Groussard, M., Mutlu, J., Arenaza‐Urquijo, E. M., Eustache, F., Desgranges, B., & Platel, H. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00227 · Cited by 57
Nakata, R., & Kawai, N. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.05.022 · Cited by 50
Schaeverbeke, J. M., Gabel, S., Meersmans, K., Luckett, E. S., Meyer, S. D., Adamczuk, K., Nelissen, N., Goovaerts, V., Radwan, A., Sunaert, S. G., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00798-4 · Cited by 61
Nieuwoudt, S., Dickie, K., Coetsee, C., Engelbrecht, L., & Terblanche, E. (2019) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2019.1598538 · Cited by 54
Retractedvan Geldorp, B., Heringa, S. M., van den Berg, E., Rikkert, M. G. M. O., Biessels, G. J., & Kessels, R. P. C. (2015) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2015.1037722 · Cited by 48
Multi-domain training enhances attentional control.
Binder, J. C., Martin, M., Zöllig, J., Röcke, C., Mérillat, S., Eschen, A., Jäncke, L., & Shing, Y. L. (2016) · Psychology and Aging · doi:10.1037/pag0000081 · Cited by 52
Cognitive training as a component of treatment of alcohol use disorder: A review.
Nixon, S. J., & Lewis, B. (2019) · Neuropsychology · doi:10.1037/neu0000575 · Cited by 50
Chen, F., Chen, Y., Schneider, S., Kao, S., Huang, C., & Chang, Y. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00224 · Cited by 50
Working memory, executive functions, and emotional intelligence in second language writing
Mavrou, I. (2020) · Journal of Second Language Writing · doi:10.1016/j.jslw.2020.100758 · Cited by 61
Koh, C., Lu, W.-S., Chen, H., Hsueh, I., Hsieh, J.-J., & Hsieh, C. (2011) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acr029 · Cited by 47
Locsin, R. C., Soriano, G. P., Juntasopeepun, P., Kunaviktikul, W., & Evangelista, L. S. (2021) · Collegian Journal of the Royal College of Nursing Australia · doi:10.1016/j.colegn.2021.01.005 · Cited by 56
Castaño, L. A. A., de Lima, V. C., Barbieri, J. F., de Lucena, E. G. P., Gáspari, A. F., Arai, H., Teixeira, C. V. L., Coelho‐Júnior, H. J., & Uchida, M. C. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.870561 · Cited by 56
Kałamała, P., Gyurkovics, M., Bowie, D. C., Clements, G. M., Low, K. A., Dolcos, F., Fabiani, M., & Gratton, G. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00054 · Cited by 49
Sunderaraman, P., Maidan, I., Kozlovski, T., Apa, Z. L., Mirelman, A., Hausdorff, J. M., & Stern, Y. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00166 · Cited by 46
Learning how network structure shapes decision-making for bio-inspired computing
Schirner, M., Deco, G., & Ritter, P. (2023) · Nature Communications · doi:10.1038/s41467-023-38626-y · Cited by 55
A Comprehensive Analysis of Connectivity and Aging Over the Adult Life Span
Archer, J. A., Lee, A., Qiu, A., & Chen, S. A. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0345 · Cited by 49
Rao, S. M., Bonner‐Jackson, A., Nielson, K. A., Seidenberg, M., Smith, J. C., Woodard, J. L., & Durgerian, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.011 · Cited by 45
Costa, P., Santos, N. C., Cunha, P., Palha, J. A., & Sousa, N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071940 · Cited by 44
Stormoen, S., Almkvist, O., Eriksdotter, M., Sundström, E., & Tallberg, I. (2014) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4114 · Cited by 44
Kiselica, A. M., Webber, T. A., & Benge, J. F. (2020) · Journal of the International Neuropsychological Society · doi:10.1017/s135561772000003x · Cited by 47
de Chastelaine, M., Mattson, J. T., Wang, T. H., Donley, B. E., & Rugg, M. D. (2014) · Brain Research · doi:10.1016/j.brainres.2014.09.045 · Cited by 41
Shared mechanisms may support mnemonic benefits from self-referencing and emotion
Gutchess, A., & Kensinger, E. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.05.001 · Cited by 34
Abdelkarim, D., Zhao, Y., Turner, M. P., Sivakolundu, D. K., Lu, H., & Bart Rypma, A. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.005 · Cited by 47
Exploring the Factor Structure of Neurocognitive Measures in Older Individuals
Santos, N. C., Costa, P., Amorim, L., Moreira, P. S., Cunha, P., Cotter, J., & Sousa, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124229 · Cited by 43
Oberlin, L. E., Wan, L., Kang, C., Romano, A., Aghjayan, S. L., Lesnovskaya, A., Ripperger, H. S., Drake, J. A., Harrison, R., Collins, A. M., et al. (2024) · British Journal of Sports Medicine · doi:10.1136/bjsports-2024-108257 · Cited by 54
Sleep and Cognitive Performance From Teens To Old Age: More Is Not Better
Richards, A. L., Inslicht, S. S., Metzler, T. J., Mohlenhoff, B. S., Rao, M. N., O’Donovan, A., & Neylan, T. C. (2017) · SLEEP · doi:10.1093/sleep/zsw029 · Cited by 44
Manenti, R., Sandrini, M., Gobbi, E., Cobelli, C., Brambilla, M., Binetti, G. G., & Cotelli, M. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00401 · Cited by 46
Five-factor model personality traits and verbal fluency in 10 cohorts.
Sutin, A. R., Stéphan, Y., Damian, R. I., Luchetti, M., Strickhouser, J. E., & Terracciano, A. (2019) · Psychology and Aging · doi:10.1037/pag0000351 · Cited by 42
Groot, C., Doré, V., Robertson, J. S., Burnham, S. C., Savage, G. R., Ossenkoppele, R., Rowe, C. C., & Villemagne, V. L. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.09.017 · Cited by 41
Neuropsychological deficits in adults age 60 and above with attention deficit hyperactivity disorder
Thorell, L. B., Holst, Y., Chistiansen, H., Kooij, J. J. S., Bijlenga, D., & Sjöwall, D. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.06.005 · Cited by 39
Zavala, D. V., Dzikowski, N., Gopalan, S., Harrington, K., Pasquini, G., Mogle, J. A., Reid, K., Sliwinski, M. J., Graham‐Engeland, J. E., Engeland, C. G., et al. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad242 · Cited by 42
Metadata
- Authors
- SALTHOUSE, T. A.
- Affiliations
- University of Virginia (US)
- Corresponding author
- SALTHOUSE, TIMOTHY A.
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2010-08-02
- Volume
- 16
- Issue
- 5
- Pages
- 754-760
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- PMC
- PMC3637655
- OpenAlex
- W2077435037
- Cited by
- 1,166
- References
- 35
- Citations by year
- 2026: 84 · 2025: 80 · 2024: 112 · 2023: 105 · 2022: 81 · 2021: 140 · 2020: 124 · 2019: 92 · 2018: 66 · 2017: 64 · 2016: 57 · 2015: 46 · 2014: 47 · 2013: 34 · 2012: 19
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the International Neuropsychological Society (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Public Health Service (R37 024270)
- National Institute on Aging (R37AG024270)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- cognitive aging, age-related cognitive decline, individual differences in aging
- MeSH terms
- Aging, Cognition, Cognition Disorders, Cross-Sectional Studies, Humans
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