Age differences in intra-individual variability in simple and choice reaction time: systematic review and meta-analysis.
Open accessAbstract
BACKGROUND: Intra-individual variability in reaction time (RT IIV) is considered to be an index of central nervous system functioning. Such variability is elevated in neurodegenerative diseases or following traumatic brain injury. It has also been suggested to increase with age in healthy ageing. OBJECTIVES: To investigate and quantify age differences in RT IIV in healthy ageing; to examine the effect of different tasks and procedures; to compare raw and mean-adjusted measures of RT IIV. DATA SOURCES: Four electronic databases: PsycINFO, Medline, Web of Science and EMBASE, and hand searching of reference lists of relevant studies. STUDY ELIGIBILITY: English language journal articles, books or book chapters, containing quantitative empirical data on simple and/or choice RT IIV. Samples had to include younger (under 60 years) and older (60 years and above) human adults. STUDY APPRAISAL AND SYNTHESIS: Studies were evaluated in terms of sample representativeness and data treatment. Relevant data were extracted, using a specially-designed form, from the published report or obtained directly from the study authors. Age-group differences in raw and RT-mean-adjusted measures of simple and choice RT IIV were quantified using random effects meta-analyses. RESULTS: Older adults (60+ years) had greater RT IIV than younger (20-39) and middle-aged (40-59) adults. Age effects were larger in choice RT tasks than in simple RT tasks. For all measures of RT IIV, effect sizes were larger for the comparisons between older and younger adults than between older and middle-aged adults, indicating that the age-related increases in RT IIV are not limited to old age. Effect sizes were also larger for raw than for RT-mean-adjusted RT IIV measures. CONCLUSIONS: RT IIV is greater among older adults. Some (but not all) of the age-related increases in RT IIV are accounted for by the increased RT means.
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?
Older participants in the current study showed reduced CVs, in contrast to previous studies.
“However, in contrast to previous studies (Dykiert et al., 2012a), older participants in the current study showed reduced CVs.”
From Age-related slowing of response selection and production in a visual choice reaction time task (2015) · cites this paper as Dykiert et al., 2012a
We did not observe an increase in the CV of trial-to-trial RT variance with age.
“In contrast to previous studies (Dykiert et al., 2012a), we did not observe an increase in the CV of trial-to-trial RT variance with age.”
From Age-related slowing of response selection and production in a visual choice reaction time task (2015) · cites this paper as Dykiert et al., 2012a
The study found significant increases in SRT variance with age.
“As in previous studies (Deary and Der, 2005; Der and Deary, 2006; Dykiert et al., 2012a), we found significant increases in SRT variance with age.”
From Factors influencing the latency of simple reaction time (2015) · cites this paper as Dykiert et al., 2012a
The study found significant age-related increases in SRT variance, and, in Experiment 2, increases in the CV as well, consistent with previous reports.
“We also found significant age-related increases in SRT variance, and, in Experiment 2, increases in the CV as well, consistent with previous reports (Dykiert et al., 2012a).”
From Factors influencing the latency of simple reaction time (2015) · cites this paper as Dykiert et al., 2012a
The rate of age-related SRT slowing observed (mean 0.50 ms/year) was similar to that of Dykiert et al. (2012a), but considerably less than the slowing observed in other SRT studies.
“The rate of age-related SRT slowing that we observed (mean 0.50 ms/year) was similar to that of Dykiert et al. (2012a), but considerably less than the slowing observed in other SRT studies (Deary and Der, 2005; Reeves et al., 2007; Vincent et al., 2008; Deary et al., 2011).”
From Factors influencing the latency of simple reaction time (2015) · cites this paper as Dykiert et al. (2012a)
The Discussion acknowledges that reaction times slow with age, but it does not give an annual rate of slowing. The Results (§3.1) quantify age differences in SRT intra-individual variability, not mean SRT slowing. Searches for 0.50 ms/year and an annual mean-SRT slope found no passage that could establish the claimed similarity. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859 · see citing works
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,759 · see citing works
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225 · see citing works
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099 · see citing works
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799 · see citing works
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068 · see citing works
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771 · see citing works
A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
Duval, S., & Tweedie, R. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473905 · Cited by 2,955 · see citing works
Meta-Analysis: Quantitative Methods for Research Synthesis
Rosenthal, R., & Wolf, F. M. (1987) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2071646 · Cited by 1,371 · see citing works
European Journal of Applied Physiology
(2013) · European Journal of Applied Physiology · doi:10.1007/421.1439-6327 · Cited by 997 · see citing works
Variability in Reaction Time Performance of Younger and Older Adults
Hultsch, D. F., MacDonald, S. W. S., & Dixon, R. A. (2002) · The Journals of Gerontology Series B · doi:10.1093/geronb/57.2.p101 · Cited by 838 · see citing works
American Journal of Geriatric Psychiatry
Bowden, V. M. (1995) · JAMA · doi:10.1001/jama.1995.03520410091040 · Cited by 749 · see citing works
Der, G., & Deary, I. J. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.1.62 · Cited by 611 · see citing works
Self-citationComba, P. D. P., & Hambley, T. W. (2000) · doi:10.1002/9783527612987.part1 · Cited by 561 · see citing works
The handbook of aging and cognition (3rd ed.).
Craik, F. I. M., & Salthouse, T. A. (2008) · Cited by 561 · see citing works
Eysenck, H. J. (1982) · Springer eBooks · doi:10.1007/978-3-642-68664-1 · Cited by 453 · see citing works
West, R., Murphy, K. J., Armilio, M. L., Craik, F. I. M., & Stuss, D. T. (2002) · Brain and Cognition · doi:10.1006/brcg.2001.1507 · Cited by 418 · see citing works
Stuss, D. T., Stethem, L. L., Hugenholtz, H., Picton, T. W., Pivik, J. R., & Richard, M. T. (1989) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.52.6.742 · Cited by 415 · see citing works
Age differences and changes in reaction time: the Baltimore Longitudinal Study of Aging.
Fozard, J. L., Vercruyssen, M., Reynolds, S. L., Hancock, P. A., & Quilter, R. E. (1994) · Journal of Gerontology · doi:10.1093/geronj/49.4.p179 · Cited by 408 · see citing works
Deary, I. J., Liewald, D., & Nissan, J. (2011) · Behavior Research Methods · doi:10.3758/s13428-010-0024-1 · Cited by 328 · see citing works
Self-citationMeta-Analysis: Quantitative Methods for Research Synthesis
Beltramini, R. F., & Wolf, F. M. (1987) · Journal of Marketing Research · doi:10.2307/3151396 · Cited by 244 · see citing works
Deary, I. J., & Der, G. (2005) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580590969235 · Cited by 243 · see citing works
Self-citationNeurocognitive markers of cognitive impairment: Exploring the roles of speed and inconsistency.
Dixon, R. A., Garrett, D. D., Lentz, T. L., MacDonald, S. W. S., Strauss, E., & Hultsch, D. F. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.3.381 · Cited by 223 · see citing works
MacDonald, S. W. S., Hultsch, D. F., & Dixon, R. A. (2003) · Psychology and Aging · doi:10.1037/0882-7974.18.3.510 · Cited by 222 · see citing works
Replication of Age and Physical Activity Effects on Reaction and Movement Time
Spirduso, W. W., & Clifford, P. S. (1978) · Journal of Gerontology · doi:10.1093/geronj/33.1.26 · Cited by 220 · see citing works
Inconsistency in Reaction Time Across the Life Span.
Williams, B. R., Hultsch, D. F., Strauss, E. H., Hunter, M. A., & Tannock, R. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.1.88 · Cited by 208 · see citing works
Stuss, D. T., Pogue, J., Buckle, L., & Bondar, J. (1994) · Neuropsychology · doi:10.1037/0894-4105.8.3.316 · Cited by 181 · see citing works
Intraindividual Variability, Cognition, and Aging
Hultsch, D. F., Strauss, E., Hunter, M. A., & MacDonald, S. W. S. (2015) · Routledge eBooks · doi:10.4324/9780203837665.ch10 · Cited by 177 · see citing works
Duchek, J. M., Balota, D. A., Tse, C., Holtzman, D. M., Fagan, A. M., & Goate, A. (2009) · Neuropsychology · doi:10.1037/a0016583 · Cited by 161 · see citing works
Testing the limits of cognitive plasticity in older adults: Application to attentional control
Bherer, L., Kramer, A. F., Peterson, M. S., Colcombe, S., Erickson, K., & Becic, E. (2006) · Acta Psychologica · doi:10.1016/j.actpsy.2006.01.005 · Cited by 155 · see citing works
Age-Related Changes in the Time Course of Vigilant Attention During 40 Hours Without Sleep in Men
Adam, M., Rétey, J., Khatami, R., & Landolt, H. (2006) · SLEEP · doi:10.1093/sleep/29.1.55 · Cited by 154 · see citing works
Burton, C. L., Strauss, E., Hultsch, D. F., Moll, A., & Hunter, M. A. (2006) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390490918318 · Cited by 153 · see citing works
Jackson, J., Balota, D. A., Duchek, J. M., & Head, D. M. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.11.024 · Cited by 146 · see citing works
Sex differences in reaction time mean and intraindividual variability across the life span.
Dykiert, D., Der, G., Starr, J. M., & Deary, I. J. (2012) · Developmental Psychology · doi:10.1037/a0027550 · Cited by 141 · see citing works
Self-citationAging and Variability in Performance
Shammi, P., Bosman, E. L., & Stuss, D. T. (1998) · Aging Neuropsychology and Cognition · doi:10.1076/anec.5.1.1.23 · Cited by 139 · see citing works
Bunce, D. J., MacDonald, S. W. S., & Hultsch, D. F. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.08.006 · Cited by 129 · see citing works
Age and Simple Reaction Time: Decade Differences for 5,325 Subjects
Wilkinson, R. T., & Allison, S. (1989) · Journal of Gerontology · doi:10.1093/geronj/44.2.p29 · Cited by 119 · see citing works
Cognition and All-Cause Mortality Across the Entire Adult Age Range: Health and Lifestyle Survey
Shipley, B. A., Der, G., Taylor, M. D., & Deary, I. J. (2006) · Psychosomatic Medicine · doi:10.1097/01.psy.0000195867.66643.0f · Cited by 119 · see citing works
Self-citationAging and Rapid Aiming Arm Movement Control
Yan, J. H. (1998) · Experimental Aging Research · doi:10.1080/036107398244292 · Cited by 117 · see citing works
Anstey, K. J., Dear, K., Christensen, H., & Jorm, A. F. (2005) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/02724980443000232 · Cited by 115 · see citing works
Aging-Related Increases in Behavioral Variability: Relations to Losses of Dopamine D1 Receptors
MacDonald, S. W. S., Karlsson, S., Rieckmann, A., Nyberg, L. H., & Bäckman, L. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5474-11.2012 · Cited by 107 · see citing works
Impact of Working Memory Constraints on Speech Monitoring in Healthy Children
Lentz, T. L. (2013) · Neuropsychology · Cited by 95 · see citing works
Movement Time, Reaction Time and Age
Pierson, W. R., & Montoye, H. J. (1958) · Journal of Gerontology · doi:10.1093/geronj/13.4.418 · Cited by 93 · see citing works
Maruff, P. T., Falleti, M. G., Collie, A., Darby, D., & McStephen, M. (2005) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2004.00438.x · Cited by 89 · see citing works
Anstey, K. J. (1999) · Aging Neuropsychology and Cognition · doi:10.1076/anec.6.2.84.786 · Cited by 86 · see citing works
The biological basis of intelligence
Eysenck, H. J. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511574603.004 · Cited by 76 · see citing works
The Biological Basis of Intelligence. Part I: Theory
Hendrickson, A. (1982) · Springer eBooks · doi:10.1007/978-3-642-68664-1_6 · Cited by 74 · see citing works
Cherbuin, N., Sachdev, P. S., & Anstey, K. J. (2010) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181cdecf1 · Cited by 69 · see citing works
Revisiting Inhibitory Control Across the Life Span: Insights From the Ex-Gaussian Distribution
McAuley, T., Yap, M. J.-M., Christ, S. E., & White, D. A. (2006) · Developmental Neuropsychology · doi:10.1207/s15326942dn2903_4 · Cited by 68 · see citing works
Bunce, D. J., Anstey, K. J., Cherbuin, N., Burns, R. A., Christensen, H. M., Wen, W. X., & Sachdev, P. S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013567 · Cited by 64 · see citing works
Age and inconsistency in driving performance
Bunce, D. J., Young, M. S., Blane, A., & Khugputh, P. (2012) · Accident Analysis & Prevention · doi:10.1016/j.aap.2012.01.001 · Cited by 58 · see citing works
Mental Health and Cognitive Function in Adults Aged 18 to 92 Years
Bunce, D. J., Tzur, M., Ramchurn, A., Gain, F., & Bond, F. W. (2008) · The Journals of Gerontology Series B · doi:10.1093/geronb/63.2.p67 · Cited by 57 · see citing works
Smulders, F. T. Y., Kenemans, J. L., Jonkman, L. M., & Kok, A. (1997) · Biological Psychology · doi:10.1016/s0301-0511(96)05229-5 · Cited by 56 · see citing works
Depression, anxiety, and within-person variability in adults aged 18 to 85 years.
Bunce, D. J., Handley, R., & Gaines, S. O. (2008) · Psychology and Aging · doi:10.1037/a0013678 · Cited by 53 · see citing works
Li, S., Hämmerer, D., Müller, V., Hommel, B., & Lindenberger, U. (2008) · Psychological Research · doi:10.1007/s00426-008-0190-2 · Cited by 49 · see citing works
McFarland, R. A. (1937) · Journal of comparative psychology · doi:10.1037/h0058262 · Cited by 47 · see citing works
Attentional, emotional and hormonal data in subjects of different ages
Fontani, G., Lodi, L., Felici, A., Corradeschi, F., & Lupo, C. (2004) · European Journal of Applied Physiology · doi:10.1007/s00421-004-1108-3 · Cited by 46 · see citing works
Williams, B. R., Strauss, E. H., Hultsch, D. F., & Hunter, M. A. (2006) · Aging Neuropsychology and Cognition · doi:10.1080/13825580600584590 · Cited by 43 · see citing works
Lahtela, K., Niemi, P., & Kuusela, V. (1985) · Scandinavian Journal of Psychology · doi:10.1111/j.1467-9450.1985.tb01175.x · Cited by 41 · see citing works
Aging Effects on Visual Reaction Time in a Single Task Condition and When Treadmill Walking
Sparrow, W. A., Begg, R. K., & Parker, S. (2006) · Motor Control · doi:10.1123/mcj.10.3.201 · Cited by 37 · see citing works
Gorus, E., Raedt, R. D., & Mets, T. F. (2006) · Aging Clinical and Experimental Research · doi:10.1007/bf03324837 · Cited by 37 · see citing works
Effects of Age and Frequency of Stimulus Repetitions on Two-choice Reaction Time
Fozard, J. L., Thomas, J. C., & Waugh, N. C. (1976) · Journal of Gerontology · doi:10.1093/geronj/31.5.556 · Cited by 37 · see citing works
McFarland, R. A. (1937) · Journal of comparative psychology · doi:10.1037/h0056332 · Cited by 37 · see citing works
Single-dose Levodopa Administration and Aging Independently Disrupt Time Production
Rakitin, B. C., Scarmeas, N., Li, T., Malapani, C., & Stern, Y. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/089892906775990615 · Cited by 28 · see citing works
The relation of response-time variability to age and the influence of brain wave frequency
Surwillo, W. W. (1963) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(63)90146-9 · Cited by 27 · see citing works
Genetic and Environmental Influences on Intraindividual Variability in Reaction Time
Finkel, D., & McGue, M. K. (2006) · Experimental Aging Research · doi:10.1080/03610730601006222 · Cited by 27 · see citing works
Single-dose Levodopa Administration and Aging Independently Disrupt Time Production
Rakitin, B. C., Scarmeas, N., Li, T., Malapani, C., & Stern, Y. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.3.376 · Cited by 25 · see citing works
Simple Auditory Reaction Time in Aged Adults
Obrist, W. D. (1953) · The Journal of Psychology · doi:10.1080/00223980.1953.9712860 · Cited by 25 · see citing works
Effects of Age and Stimulus Repetition on Two-Choice Reaction Time
Waugh, N. C., Fozard, J. L., Talland, G. A., & Erwin, D. E. (1973) · Journal of Gerontology · doi:10.1093/geronj/28.4.466 · Cited by 23 · see citing works
Gooch, C. M., Stern, Y., & Rakitin, B. C. (2009) · Aging Neuropsychology and Cognition · doi:10.1080/13825580802592771 · Cited by 23 · see citing works
Free testosterone levels, attentional control, and processing speed performance in aging men.
Martin, D. M., Burns, N. R., & Wittert, G. (2009) · Neuropsychology · doi:10.1037/a0014182 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [18]Brebner JT, Welford AT (1980) Introduction: an historical background sketch. In Reaction times Welford AT, editor. Academic Press, New York 1– 23.
- [19]Lahtela K, Niemi P, Kuusela V (1985) Adult visual choice-reaction time, age, sex, and preparedness. Scandinavian Journal of Psychology 26: 357– 362. 4089563
- [30]Hogan MJ (2003) Average speed or variable speed–what do older adults really need? Irish Journal of Psychology 24: 161– 183.
Cited by
Sorted by citations
Hallmarks of Brain Aging: Adaptive and Pathological Modification by Metabolic States
Mattson, M. P., & Arumugam, T. V. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.011 · Cited by 1,242 · see citing works
Factors influencing the latency of simple reaction time
Woods, D. L., Wyma, J. M., Yund, E. W., Herron, T. J., & Reed, B. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00131 · Cited by 336 · see citing works
“As in previous studies (Deary and Der, 2005; Der and Deary, 2006; Dykiert et al., 2012a), we found significant increases in SRT variance with age.”
BackgroundMethodResultInfluentialNeural variability: friend or foe?
Dinstein, I., Heeger, D. J., & Behrmann, M. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.04.005 · Cited by 254 · see citing works
Castelli, V., Benedetti, E., Antonosante, A., Catanesi, M., Pitari, G., Ippoliti, R., Cimini, A., & d’Angelo, M. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00132 · Cited by 211 · see citing works
Age-related slowing of response selection and production in a visual choice reaction time task
Woods, D. L., Wyma, J. M., Yund, E. W., Herron, T. J., & Reed, B. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00193 · Cited by 130 · see citing works
“These results also agree with some previous studies (Deary and Der, 2005), Frontiers in Human Neuroscience | www.frontiersin.org 7 April 2015 | Volume 9 | Article 193 but conflict with others (Houx and Jolles, 1993; Dykiert et al., 2012b).”
BackgroundMethodResultInfluentialHaynes, B. I., Bauermeister, S., & Bunce, D. J. (2017) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717000236 · Cited by 117 · see citing works
Age differences in sustained attention tasks: A meta-analysis
Vallesi, A., Tronelli, V., Lomi, F., & Pezzetta, R. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-01908-x · Cited by 104 · see citing works
Henderson, J. M., & Luke, S. G. (2014) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0036330 · Cited by 96 · see citing works
To what extent does attention underlie language in aphasia?
Villard, S., & Kiran, S. (2016) · Aphasiology · doi:10.1080/02687038.2016.1242711 · Cited by 95 · see citing works
Williams, D. P., Thayer, J. F., & Koenig, J. (2016) · Psychophysiology · doi:10.1111/psyp.12739 · Cited by 94 · see citing works
Consistency of attentional control as an important cognitive trait: A latent variable analysis
Nash Unsworth, A. (2015) · Intelligence · doi:10.1016/j.intell.2015.01.005 · Cited by 90 · see citing works
Phillips, M., Rogers, P. J., Haworth, J., Bayer, A. J., & Tales, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065712 · Cited by 85 · see citing works
Li, S., Blythe, P. T., Guo, W., & Namdeo, A. K. (2019) · Transportation Planning and Technology · doi:10.1080/03081060.2019.1609221 · Cited by 75 · see citing works
Intermittent Hypoxia Training for Treating Mild Cognitive Impairment: A Pilot Study
Wang, H., Shi, X., Schenck, H., Hall, J. R., Ross, S. E., Kline, G. P., Chen, S., Mallet, R. T., & Chen, P. (2020) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317519896725 · Cited by 73 · see citing works
Neuronal induction of BNIP3-mediated mitophagy slows systemic aging in Drosophila
Schmid, E. T., Pyo, J.-H., & Walker, D. W. (2022) · Nature Aging · doi:10.1038/s43587-022-00214-y · Cited by 72 · see citing works
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 64 · see citing works
Li, S., Blythe, P. T., Guo, W., Namdeo, A. K., Edwards, S. J., Goodman, P. S., & Hill, G. A. (2019) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.10.009 · Cited by 55 · see citing works
Morrison, S., Armitano‐Lago, C., Raffaele, C. T., Deutsch, S. I., Neumann, S. A., Caracci, H., & Urbano, M. R. (2018) · Experimental Brain Research · doi:10.1007/s00221-018-5300-9 · Cited by 55 · see citing works
When I’m 64: Age-Related Variability in Over 40,000 Online Cognitive Test Takers
LaPlume, A. A., Anderson, N. D., McKetton, L., Levine, B., & Troyer, A. K. (2021) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbab143 · Cited by 52 · see citing works
Piumatti, G., Moore, S. C., Berridge, D. M., Sarkar, C., & Gallacher, J. (2018) · Journal of Public Health · doi:10.1093/pubmed/fdx186 · Cited by 51 · see citing works
Cognitive Intra-individual Variability in HIV: an Integrative Review
Vance, D. E., Bene, V. A. D., Sandson, J., Billings, R., Triebel, K. L., Buchholz, A. S., Rubin, L. H., Woods, S. P., Li, W., & Fazeli, P. L. (2021) · Neuropsychology Review · doi:10.1007/s11065-021-09528-x · Cited by 48 · see citing works
Driver Intention Recognition: State-of-the-Art Review
Vellenga, K., Steinhauer, H. J., Karlsson, A., Falkman, G., Rhodin, A., & Koppisetty, A. C. (2022) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2022.3197296 · Cited by 47 · see citing works
Prioritizing attention on a reaction time task improves postural control and reaction time
Jehu, D. A., Desponts, A., Paquet, N., & Lajoie, Y. (2014) · International Journal of Neuroscience · doi:10.3109/00207454.2014.907573 · Cited by 47 · see citing works
A comparative study of visual reaction time in table tennis players and healthy controls.
Bhabhor, M., Vidja, K., Bhanderi, P., Dodhia, S., Kathrotia, R., & Joshi, V. (2013) · PubMed · Cited by 46 · see citing works
Use of a robotic device to measure age-related decline in finger proprioception
Ingemanson, M. L., Rowe, J. B., Chan, V., Wolbrecht, E. T., Cramer, S. C., & Reinkensmeyer, D. J. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4440-4 · Cited by 45 · see citing works
Daamen, M., Bäuml, J., Scheef, L., Sorg, C., Busch, B., Baumann, N., Bartmann, P., Dieter Wolke, C., Wohlschläger, A. M., & Boecker, H. (2014) · Human Brain Mapping · doi:10.1002/hbm.22691 · Cited by 44 · see citing works
Simon, E. B., Vallat, R., Rossi, A., & Walker, M. P. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001733 · Cited by 45 · see citing works
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 42 · see citing works
Wong, G. C., & Chow, H. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220203 · Cited by 40 · see citing works
Comparison of Reaction Time Between eSports Players of Different Genres and Sportsmen
Bickmann, P., Wechsler, K., Rudolf, K., Tholl, C., Froböse, I., & Grieben, C. (2021) · International Journal of eSports Research · doi:10.4018/ijer.20210101.oa1 · Cited by 40 · see citing works
Bunce, D. J., Bielak, A. A. M., Cherbuin, N., Batterham, P. J., Wen, W. X., Sachdev, P. S., & Anstey, K. J. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000830 · Cited by 39 · see citing works
Felice, S. D., & Holland, C. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01973 · Cited by 39 · see citing works
Gilmour, G., Porcelli, S., Bertaina‐Anglade, V., Arce, E., Dukart, J., Hayen, A., Lobo, A., López‐Antón, R., Pich, E. M., Pemberton, D. J., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.09.025 · Cited by 37 · see citing works
Intra-individual Variability in Women with Breast Cancer
Bernstein, L. J., Catton, P. A., & Tannock, I. F. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000125 · Cited by 37 · see citing works
Thalamic functional connectivity and its association with behavioral performance in older age
Goldstone, A., Mayhew, S. D., Hale, J. R., Wilson, R. S., & Bagshaw, A. P. (2018) · Brain and Behavior · doi:10.1002/brb3.943 · Cited by 32 · see citing works
Li, X., Han, T., Zou, X., Zhang, H., Feng, W., Wang, H., Shen, Y., Zhang, L., & Fang, G. (2021) · European Journal of Applied Physiology · doi:10.1007/s00421-021-04746-w · Cited by 35 · see citing works
Hsieh, S.-S., Chang, Y.-K., Fang, C.-L., & Hung, T.-M. (2016) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2015-0282 · Cited by 34 · see citing works
Ali, S., Kerns, K. A., Mulligan, B. P., Olson, H. C., & Astley, S. J. (2017) · Child Neuropsychology · doi:10.1080/09297049.2017.1302579 · Cited by 34 · see citing works
Alterations in Executive Functions with Aging
Stuss, D., & Craik, F. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108554350.012 · Cited by 8 · see citing works
Aschenbrenner, A. J., Hassenstab, J. J., Morris, J. C., Cruchaga, C., & Jackson, J. J. (2023) · Neuropsychology · doi:10.1037/neu0000905 · Cited by 32 · see citing works
Occhialini, M., Bernardini, G., Ferracuti, F., Iarlori, S., D’Orazio, M., & Longhi, S. (2016) · Fire Safety Journal · doi:10.1016/j.firesaf.2016.03.003 · Cited by 31 · see citing works
Between-session and within-session intra-individual variability in attention in aphasia
Villard, S., & Kiran, S. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.12.005 · Cited by 31 · see citing works
Nucleus accumbens and caudate atrophy predicts longer action selection times in young and old adults
Boisgontier, M. P., van Ruitenbeek, P., Leunissen, I., Chalavi, S., Sunaert, S. G., Levin, O., & Swinnen, S. P. (2016) · Human Brain Mapping · doi:10.1002/hbm.23333 · Cited by 29 · see citing works
Hudec, K. L., Alderson, R. M., Patros, C. H. G., Lea, S. E., Tarle, S. J., & Kasper, L. J. (2015) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2015.07.012 · Cited by 28 · see citing works
Functional exercise capacity, strength, balance and motion reaction time in Barth syndrome
Hornby, B., McClellan, R., Buckley, L. P., Carson, K., Gooding, T., & Vernon, H. J. (2019) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-019-1006-8 · Cited by 28 · see citing works
Reduced modulation of BOLD variability as a function of cognitive load in healthy aging
Rieck, J. R., DeSouza, B., Baracchini, G., & Grady, C. L. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.01.010 · Cited by 27 · see citing works
Morcelli, M. H., Rossi, D. M., Karuka, A. H., Crozara, L. F., Hallal, C. Z., Marques, N. R., Gonçalves, M., & Navega, M. T. (2016) · Physiotherapy Theory and Practice · doi:10.3109/09593985.2015.1091870 · Cited by 27 · see citing works
Response Time Consistency Is an Indicator of Executive Control Rather than Global Cognitive Ability
Vasquez, B. P., Binns, M. A., & Anderson, N. D. (2017) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717001266 · Cited by 27 · see citing works
Movement Path Tortuosity in Free Ambulation: Relationships to Age and Brain Disease
Kearns, W. D., Fozard, J. L., & Nams, V. O. (2016) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2517332 · Cited by 26 · see citing works
Neural correlates of individual differences in fixation duration during natural reading
Henderson, J. M., Choi, W., Luke, S. G., & Schmidt, J. (2017) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2017.1329322 · Cited by 26 · see citing works
Blomkvist, A. W., Eika, F., Rahbek, M. T., Eikhof, K. D., Hansen, M. D., Søndergaard, M., Ryg, J., Andersen, S., & Jørgensen, M. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189598 · Cited by 25 · see citing works
Effects of age on attention level: changes in performance between the ages of 12 and 90
Lufi, D., & Haimov, I. (2018) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2018.1546820 · Cited by 25 · see citing works
Electrophysiological Correlates of Response Time Variability During a Sustained Attention Task
Machida, K., Murias, M., & Johnson, K. A. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00363 · Cited by 25 · see citing works
The relation between falls risk and movement variability in Parkinson’s disease
Morrison, S., Moxey, J. R., Reilly, N., Russell, D. M., Thomas, K. M., & Grunsfeld, A. A. (2021) · Experimental Brain Research · doi:10.1007/s00221-021-06113-9 · Cited by 24 · see citing works
Reißig, P., Garry, M. I., Summers, J. J., & Hinder, M. R. (2014) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2014.922889 · Cited by 24 · see citing works
van Duijvenbode, N., Didden, R., Korzilius, H. P. L. M., & Engels, R. C. M. E. (2015) · Journal of Intellectual Disability Research · doi:10.1111/jir.12244 · Cited by 22 · see citing works
Modelling personality, plasticity and predictability in shelter dogs
Goold, C. M., & Newberry, R. C. (2017) · Royal Society Open Science · doi:10.1098/rsos.170618 · Cited by 23 · see citing works
Does Diet Have a Role in the Treatment of Alzheimer's Disease?
Thelen, M., & Brown‐Borg, H. M. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.617071 · Cited by 23 · see citing works
Heterogeneous Indicators of Cognitive Performance and Performance Variability Across the Lifespan
Rutter, L. A., Vahia, I. V., Forester, B. P., Ressler, K. J., & Germine, L. T. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00062 · Cited by 22 · see citing works
Roles and Mechanisms of Astragaloside IV in Combating Neuronal Aging
Zaman, Q., Zhang, D., Obireddy, S. R., Wong, W., & Lai, W. (2022) · Aging and Disease · doi:10.14336/ad.2022.0126 · Cited by 21 · see citing works
Increased variability in reaction time is associated with amyloid beta pathology at age 70
Lu, K., Nicholas, J. M., James, S., Lane, C., Parker, T. D., Keshavan, A., Keuss, S. E., Buchanan, S. M., Murray‐Smith, H., Cash, D. M., et al. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12076 · Cited by 22 · see citing works
Osmon, D. C., Kazakov, D., Santos, O. A., & Kassel, M. T. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9382-8 · Cited by 21 · see citing works
The 3-Second Rule in Hereditary Pure Cerebellar Ataxia: A Synchronized Tapping Study
Matsuda, S., Matsumoto, H., Furubayashi, T., Hanajima, R., Tsuji, S., Ugawa, Y., & Terao, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118592 · Cited by 21 · see citing works
Executive functions and intraindividual variability following concussion
Karr, J. E., García-Barrera, M. A., & Areshenkoff, C. N. (2013) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2013.863833 · Cited by 20 · see citing works
Daily Stress Processes as Contributors to and Targets for Promoting Cognitive Health in Later Life
Stawski, R. S., Cerino, E. S., Witzel, D. D., & MacDonald, S. W. S. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000643 · Cited by 20 · see citing works
EEG-ERP dynamics in a visual Continuous Performance Test
Karamacoska, D., Barry, R. J., Blasio, F. M. D., & Steiner, G. Z. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.08.013 · Cited by 20 · see citing works
Jørgensen, M. G., Paramanathan, S., Ryg, J., Masud, T., & Andersen, S. (2015) · BMC Geriatrics · doi:10.1186/s12877-015-0080-6 · Cited by 19 · see citing works
Preserved Discrimination Performance and Neural Processing during Crossmodal Attention in Aging
Mishra, J., & Gazzaley, A. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081894 · Cited by 19 · see citing works
Trenado, C., González-Ramírez, A., Lizárraga-Cortés, V., Pedroarena‐Leal, N., Manjarrez, E., & Ruge, D. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00850 · Cited by 20 · see citing works
Reaction time and intelligence: Comparing associations based on two response modes
Nissan, J. J., Liewald, D. C. M., & Deary, I. J. (2013) · Intelligence · doi:10.1016/j.intell.2013.08.002 · Cited by 19 · see citing works
Self-citationAita, S. L., Bene, V. A. D., Knapp, D., Demming, C. E., Ikonomou, V. C., Owen, T., Campbell, I., Wagaman, B., Borgogna, N. C., Caron, J. E., et al. (2024) · Neuropsychology Review · doi:10.1007/s11065-024-09654-2 · Cited by 18 · see citing works
Associations between reaction time measures and white matter hyperintensities in very old age
Haynes, B. I., Bunce, D. J., Kochan, N. A., Wen, W. X., Brodaty, H., & Sachdev, P. S. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.021 · Cited by 18 · see citing works
Efficiency of attentional processes in bilingual speakers with aphasia
Dash, T., Masson‐Trottier, M., & Ansaldo, A. I. (2020) · Aphasiology · doi:10.1080/02687038.2020.1719970 · Cited by 17 · see citing works
Vakani, K., Ratto, M., Sandford-James, A., Antonova, E., & Kumari, V. (2023) · European Psychiatry · doi:10.1192/j.eurpsy.2023.25 · Cited by 18 · see citing works
Age Differences in Reaction Times and a Neurophysiological Marker of Cholinergic Activity
Young-Bernier, M., Tanguay, A. F. N., Tremblay, F., & Davidson, P. S. R. (2015) · Canadian Journal on Aging / La Revue canadienne du vieillissement · doi:10.1017/s0714980815000409 · Cited by 17 · see citing works
Prestimulus delta and theta contributions to equiprobable Go/NoGo processing in healthy ageing
Blasio, F. M. D., & Barry, R. J. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.05.005 · Cited by 17 · see citing works
McCormick, E. M., & Kievit, R. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1042-22.2023 · Cited by 16 · see citing works
Neural Bases of Age-Related Sensorimotor Slowing in the Upper and Lower Limbs
Marušič, U., Peskar, M., de Pauw, K., Omejc, N., Drevenšek, G., Rojc, B., Pišot, R., & Kavcic, V. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.819576 · Cited by 15 · see citing works
Reaction time variability and brain white matter integrity.
Booth, T., Dykiert, D., Corley, J., Gow, A. J., Morris, Z., Maniega, S. M., Royle, N. A., Hernández, M. D. C. V., Starr, J. M., Penke, L., et al. (2019) · Neuropsychology · doi:10.1037/neu0000483 · Cited by 15 · see citing works
Self-citationDynamic Adjustments of Midfrontal Control Signals in Adults and Adolescents
Gyurkovics, M., & Levita, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa258 · Cited by 16 · see citing works
Yamamoto, R., Akizuki, K., Yamaguchi, K., Yabuki, J., & Kaneno, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-14975-4 · Cited by 14 · see citing works
Research status of visuospatial dysfunction and spatial navigation
Bao, R., Chang, S., Liu, R., Wang, Y., & Guan, Y. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1609620 · Cited by 13 · see citing works
Chaku, N., Yan, R., Kelly, D. P., Zhang, Z., Lopez‐Duran, N. L., Weigard, A. S., & Beltz, A. M. (2023) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-023-01071-y · Cited by 14 · see citing works
Zappelli, E., Daniele, S., Ceccarelli, L., Vergassola, M., Ragni, L., Mangano, G., & Martini, C. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15783 · Cited by 12 · see citing works
Does within-person variability predict errors in healthy adults aged 18–90?
Haynes, B. I., Bauermeister, S., & Bunce, D. J. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2016.1204328 · Cited by 13 · see citing works
MacPherson, S. E., Gillebert, C. R., Robinson, G. A., & Vallesi, A. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00432 · Cited by 13 · see citing works
Gaynor, A. M., Ahsan, A., Jung, D., Schofield, E., Li, Y., Ryan, E., Ahles, T. A., & Root, J. C. (2022) · Journal of Cancer Survivorship · doi:10.1007/s11764-022-01232-w · Cited by 12 · see citing works
Polyoxidovanadates as a pharmacological option against brain aging
Díaz, A., Vázquez‐Roque, R. A., Carreto-Meneses, K., Moroni-González, D., Moreno-Rodríguez, J. A., & Treviño, S. (2023) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2023.102256 · Cited by 11 · see citing works
Toward a cross-cultural understanding of intraindividual variability metrics
Scott, B. M., Royall, D. R., Benge, J. F., & Hilsabeck, R. C. (2024) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2024.2328870 · Cited by 11 · see citing works
Burnett, J., Cobden, A. L., Burmester, A., Akhlaghi, H., D., J. D., & Caeyenberghs, K. (2025) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2025.04.011 · Cited by 11 · see citing works
Bene, V. A. D., Aita, S. L., Fonseca, L. M., Borgogna, N. C., Buchholz, A. S., Woods, S. P., Schretlen, D. J., Kiselica, A. M., Webber, T. A., Schmitter‐Edgecombe, M., et al. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2574463 · Cited by 11 · see citing works
Program of Seven 45-min Dry Immersion Sessions Improves Choice Reaction Time in Parkinson’s Disease
Meigal, A. Y., Tretjakova, O., Gerasimova-Meigal, L. I., & Sayenko, I. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2020.621198 · Cited by 11 · see citing works
Ribeiro, M. J., & Castelo-Branco, M. S. (2022) · eLife · doi:10.7554/elife.75722 · Cited by 10 · see citing works
Coupling of motor oscillators – What really happens when you chew gum and walk?
Samulski, B., Prebor, J., Armitano‐Lago, C., & Morrison, S. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.01.016 · Cited by 11 · see citing works
The neural–vascular basis of age‐related processing speed decline
Zhao, Y., Liu, P., Turner, M. P., Abdelkarim, D., Lu, H., & Bart Rypma, A. (2021) · Psychophysiology · doi:10.1111/psyp.13845 · Cited by 11 · see citing works
Li, C., Gheorghe, D. A., Gallacher, J., & Bauermeister, S. (2020) · Evidence-Based Mental Health · doi:10.1136/ebmental-2020-300147 · Cited by 10 · see citing works
Caravaglios, G., Castro, G., Muscoso, E. G., Crivelli, D., & Balconi, M. (2016) · Clinical EEG and Neuroscience · doi:10.1177/1550059416676144 · Cited by 11 · see citing works
Lu, H., Chan, S. S. M., & Lam, L. C. W. (2016) · Geriatrics · doi:10.3390/geriatrics1020013 · Cited by 10 · see citing works
Yao, L., Shono, Y., Nowinski, C. J., Dworak, E. M., Kaat, A. J., Chen, S., Lovett, R., Ho, E., Curtis, L. M., Wolf, M. U., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1297952 · Cited by 9 · see citing works
Hintz, F., Dijkhuis, M., Hoff, V. V. '., Huijsmans, M. K., Kievit, R., McQueen, J. M., & Meyer, A. S. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149502 · Cited by 10 · see citing works
- Authors
- Dykiert, D., Der, G., Starr, J. M., & Deary, I. J.
- Affiliations
- University of Edinburgh (GB)
- MRC/CSO Social and Public Health Sciences Unit (GB)
- Corresponding author
- Dykiert, Dominika
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-10-11
- Volume
- 7
- Issue
- 10
- Pages
- e45759
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3469552
- OpenAlex
- W2114369674
- Cited by
- 218
- References
- 73
- Citations by year
- 2026: 14 · 2025: 27 · 2024: 17 · 2023: 17 · 2022: 25 · 2021: 15 · 2020: 12 · 2019: 18 · 2018: 11 · 2017: 15 · 2016: 15 · 2015: 15 · 2014: 9 · 2013: 8
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (acceptedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- University of Edinburgh (G0700704/84698)
- Centre for Cognitive Ageing and Cognitive Epidemiology (G0700704/84698)
- Directorate for Biological Sciences
- Medical Research Council (G0700704)
- Engineering and Physical Sciences Research Council
- Biotechnology and Biological Sciences Research Council (G0700704/84698)
- Economic and Social Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- within-person variability, reaction time, age differences, healthy aging, older adults, choice reaction time, simple reaction time, central nervous system function, cognitive aging
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Aging, Choice Behavior, Female, Humans, Male, Middle Aged, Reaction Time, Publication Bias
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