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Neurocognitive Aging and the Compensation Hypothesis
Abstract
The most unexpected and intriguing result from functional brain imaging studies of cognitive aging is evidence for age-related overactivation: greater activation in older adults than in younger adults, even when performance is age-equivalent. Here we examine the hypothesis that age-related overactivation is compensatory and discuss the compensation-related utilization of neural circuits hypothesis (CRUNCH). We review evidence that favors a compensatory account, discuss questions about strategy differences, and consider the functions that may be served by overactive brain areas. Future research directed at neurocognitively informed training interventions may augment the potential for plasticity that persists into the later years of the human lifespan.
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Cites
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET
Reuter-Lorenz, P. A., Jonides, J., Smith, E. E., Hartley, A., Miller, A., Marshuetz, C., & Koeppe, R. A. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900561814 · Cited by 998
Self-citationTop-down suppression deficit underlies working memory impairment in normal aging
Gazzaley, A., Cooney, J. W., Rissman, J., & D'Esposito, M. (2005) · Nature Neuroscience · doi:10.1038/nn1543 · Cited by 934
Brain networks associated with cognitive reserve in healthy young and old adults
Stern, Y. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh142 · Cited by 417
Cited by
The adaptive brain: aging and neurocognitive scaffolding
Park, D. C., & Reuter-Lorenz, P. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093656 · Cited by 2,790
Self-citationHertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008) · Psychological Science in the Public Interest · doi:10.1111/j.1539-6053.2009.01034.x · Cited by 1,495
Hearing Impairment and Cognitive Energy: The Framework for Understanding Effortful Listening (FUEL)
Pichora-Fuller, M. K., Kramer, S. E., Eckert, M. A., Edwards, B., Hornsby, B. W. Y., Humes, L. E., Lemke, U., Lunner, T., Matthen, M., Mackersie, C. L., et al. (2016) · Ear & Hearing · doi:10.1097/aud.0000000000000312 · Cited by 1,318
Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing
Cabeza, R., Albert, M., Belleville, S., Craik, F. I. M., Duarte, A., Grady, C. L., Lindenberger, U., Nyberg, L., Park, D. C., Reuter-Lorenz, P. A., et al. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0068-2 · Cited by 1,298
Self-citationThe cognitive neuroscience of ageing
Grady, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3256 · Cited by 1,286
A theoretical framework for the study of adult cognitive plasticity
Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., & Schmiedek, F. (2010) · Psychological Bulletin · doi:10.1037/a0020080 · Cited by 731
Flexible neural mechanisms of cognitive control within human prefrontal cortex.
Braver, T. S., Paxton, J. L., Locke, H. S., & Barch, D. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808187106 · Cited by 689
Kirova, A.-M., Bays, R. B., & Lagalwar, S. (2015) · BioMed Research International · doi:10.1155/2015/748212 · Cited by 649
How many words do we read per minute? A review and meta-analysis of reading rate
Brysbaert, M. (2019) · Journal of Memory and Language · doi:10.1016/j.jml.2019.104047 · Cited by 553
Episodic memory in normal aging and Alzheimer disease: Insights from imaging and behavioral studies
Tromp, D., Dufour, A., Lithfous, S., Pebayle, T., & Després, O. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.006 · Cited by 390
Herold, F., Törpel, A., Schega, L., & Müller, N. G. (2019) · European Review of Aging and Physical Activity · doi:10.1186/s11556-019-0217-2 · Cited by 349
The Modulation of BOLD Variability between Cognitive States Varies by Age and Processing Speed
Garrett, D. D., Kovacevic, N., McIntosh, A. R., & Grady, C. L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs055 · Cited by 276
Physical and motor fitness are both related to cognition in old age
Voelcker‐Rehage, C., Godde, B., & Staudinger, U. M. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.07014.x · Cited by 282
Dynamics of cognitive control: Theoretical bases, paradigms, and a view for the future
Gratton, G., Cooper, P., Fabiani, M., Carter, C. S., & Karayanidis, F. (2018) · Psychophysiology · doi:10.1111/psyp.13016 · Cited by 255
de Vries, F. E., de Wit, S. J., Cath, D. C., van der Werf, Y. D., van der Borden, V., van Rossum, T. B., van Balkom, A. J. L. M., van der Wee, N. J. A., Veltman, D. J., & van den Heuvel, O. A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.11.021 · Cited by 177
Maillet, D., & Schacter, D. L. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.11.017 · Cited by 135
Brain Characteristics of Individuals Resisting Age-Related Cognitive Decline over Two Decades
Pudas, S., Persson, J., Josefsson, M., de Luna, X., Nilsson, L.-G., & Nyberg, L. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2900-12.2013 · Cited by 126
Differential effects of age on subcomponents of response inhibition
Sebastian, A., Baldermann, C., Feige, B., Katzev, M., Scheller, E., Hellwig, B., Lieb, K., Weiller, C., Tüscher, O., & Klöppel, S. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.013 · Cited by 127
Neural effects of short-term training on working memory
Buschkuehl, M., Hernandez-Garcia, L., Jaeggi, S. M., Bernard, J. A., & Jonides, J. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-013-0244-9 · Cited by 117
Stepankova, H., Lukavsky, J., Buschkuehl, M., Kopecek, M., Ripova, D., & Jaeggi, S. M. (2014) · Developmental Psychology · doi:10.1037/a0034913 · Cited by 101
Naik, S., Banerjee, A., Bapi, R. S., Deco, G., & Roy, D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.007 · Cited by 89
Effect of cholinergic treatment depends on cholinergic integrity in early Alzheimer’s disease
Richter, N., Beckers, N., Onur, O. A., Dietlein, M., Tittgemeyer, M., Kracht, L., Neumaier, B., Fink, G. R., & Kukolja, J. (2018) · Brain · doi:10.1093/brain/awx356 · Cited by 77
Albinet, C. T., Mandrick, K., Bernard, P. L., Perrey, S., & Blain, H. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00272 · Cited by 65
Heinzel, S., Kaufmann, C., Grützmann, R., Hummel, R., Klawohn, J., Riesel, A., Bey, K., Lennertz, L., Wagner, M., & Kathmann, N. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.10.039 · Cited by 55
Dynamic functional reorganizations and relationship with working memory performance in healthy aging
Sala-Llonch, R., Arenaza-Urquijo, E. M., Valls-Pedret, C., Vidal-Piñeiro, D., Bargalló, N., Junqué, C., & Bartrés-Faz, D. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00152 · Cited by 54
Evidence for reduced efficiency and successful compensation in older adults during task switching
Hakun, J. G., Zhu, Z., Johnson, N. F., & Gold, B. T. (2015) · Cortex · doi:10.1016/j.cortex.2014.12.006 · Cited by 51
Cognitive spare capacity as an index of listening effort
Rudner, M. (2016) · Ear & Hearing · doi:10.1097/aud.0000000000000302 · Cited by 52
Bohle, H., Rimpel, J., Schauenburg, G., Gebel, A., Stelzel, C., Heinzel, S., Rapp, M., & Granacher, U. (2019) · Neural Plasticity · doi:10.1155/2019/9478656 · Cited by 46
Spectral Variability in the Aged Brain during Fine Motor Control
Quandt, F., Bönstrup, M., Schulz, R., Timmermann, J. E., Zimerman, M., Nolte, G., & Hummel, F. C. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00305 · Cited by 38
Heinzel, S., Rimpel, J., Stelzel, C., & Rapp, M. A. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00085 · Cited by 45
Task difficulty modulates young-old differences in network expression
Stern, Y., Rakitin, B. C., Habeck, C., Gazes, Y., Steffener, J., Kumar, A., & Reuben, A. (2012) · Brain Research · doi:10.1016/j.brainres.2011.11.061 · Cited by 44
The Effects of Amyloid and Tau on Functional Network Connectivity in Older Populations
Wales, R. M., & Leung, H.-C. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0902 · Cited by 26
Heinzel, S., Kaufmann, C., Grützmann, R., Klawohn, J., Riesel, A., Bey, K., Heilmann-Heimbach, S., Weinhold, L., Ramirez, A., Wagner, M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-98333-w · Cited by 23
Dias, B. F., Rezende, L. O., Malloy-Diniz, L. F., & Paula, J. J. D. (2018) · Arquivos de Neuro-Psiquiatria · doi:10.1590/0004-282x20170186 · Cited by 19
Krendl, A. C., & Kensinger, E. A. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152698 · Cited by 11
Episodic Memory in Healthy Older Adults: The Role of Prefrontal and Parietal Cortices
Rajah, M. N., Maillet, D., & Grady, C. L. (2015) · The Wiley Handbook on the Cognitive Neuroscience of Memory · doi:10.1002/9781118332634.ch17 · Cited by 9
Cook, S., Baecker, R. M., Munteanu, C., & Walker, A. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-58625-0_31 · Cited by 5
Heckner, M. K., Cieslik, E. C., Eickhoff, S. B., Camilleri, J. A., Hoffstaedter, F., & Langner, R. (2020) · doi:10.1101/2020.07.15.204941
Metadata
- Authors
- Reuter-Lorenz, P. A., & Cappell, K. A.
- Venue
- Current Directions in Psychological Science
- Publisher
- SAGE Publications
- Published
- 2008-06
- Volume
- 17
- Issue
- 3
- Pages
- 177-182
- ISSN
- 0963-7214 (ISSN-L)
- 1467-8721
- OpenAlex
- W2089725106
- Cited by
- 1,639
- References
- 4
- FWCI
- 29.93
- Type
- journal article
- Language
- en
- Open access
- closed
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