A theoretical framework for the study of adult cognitive plasticity
Open accessAbstract
Does plasticity contribute to adult cognitive development, and if so, in what ways? The vague and overused concept of plasticity makes these controversial questions difficult to answer. In this article, we refine the notion of adult cognitive plasticity and sharpen its conceptual distinctiveness. According to our framework, adult cognitive plasticity is driven by a prolonged mismatch between functional organismic supplies and environmental demands and denotes the brain's capacity for anatomically implementing reactive changes in behavioral flexibility (i.e., the possible range of performance and function). We distinguish between 2 interconnected but distinct cognitive outcomes of adult cognitive plasticity: alterations in processing efficiency and alterations in representations. We demonstrate the usefulness of our framework in evaluating and interpreting (a) increments in frontal brain activations in the course of normal aging and (b) the effects of cognitive training in adulthood and old age. Finally, we outline new research questions and predictions generated by the present framework and recommend design features for future cognitive-training studies.
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Individuals with lower baseline cognitive ability demonstrate greater performance gains following cognitive training compared to those with higher baseline cognitive ability.
“For instance, individuals with lower baseline cognitive ability demonstrate greater performance gains following cognitive training compared to those with higher baseline cognitive ability, potentially due to a sufficient “mismatch” between the task demand and functional supply of the brain [68–72].”
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 [72]
Some explanations for specific transfer effects, such as those observed in this study, are that they are due to knowledge gained from the training and to familiarity with the task and computer-based assessment methods.
“Some explanations have been suggested for specific transfer effects (such as those observed in this study), which would be due to knowledge gained from the training (e.g., [72]) and to familiarity with the task and computer-based assessment methods.”
From Nearest transfer effects of working memory training: A comparison of two programs focused on working memory updating (2019) · cites this paper as [72]
The mismatch model of cognitive plasticity suggests that increasing demand on cognitive processes leads to expansion of resources associated with cognitive functioning.
“The mismatch model of cognitive plasticity suggests that increasing the demand on cognitive processes leads to expansion of resources associated with cognitive functioning [22].”
From Dual N-back working memory training in healthy adults: A randomized comparison to processing speed training. (2016) · cites this paper as [22]
As noted in the mismatch model of cognitive plasticity, if a training task is too difficult, the trainee may become overwhelmed and give up.
“As noted in the mismatch model of cognitive plasticity, if a training task is too difficult, the trainee may become overwhelmed and give up [22].”
From Dual N-back working memory training in healthy adults: A randomized comparison to processing speed training. (2016) · cites this paper as [22]
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Self-citationPerformance level modulates adult age differences in brain activation during spatial working memory
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Self-citationFar transfer in cognitive training of older adults
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Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing
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Self-citationEducation and cognitive functioning across the life span
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Self-citationDo “brain-training” programs work?
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Cognitive rehabilitation in multiple sclerosis: a systematic review
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Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity
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Distinct transfer effects of training different facets of working memory capacity.
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Self-citationTraining versus engagement as paths to cognitive enrichment with aging.
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Training working memory: Limits of transfer
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Does working memory training have to be adaptive?
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Working memory training mostly engages general-purpose large-scale networks for learning
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“(1) Selective updating of digits (SUD) is a WM updating task based on Murty and colleagues26.”
MethodN-back Versus Complex Span Working Memory Training
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“As noted in the mismatch model of cognitive plasticity, if a training task is too difficult, the trainee may become overwhelmed and give up [22].”
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Examining Working Memory Training for Healthy Adults—A Second-Order Meta-Analysis
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“The consistent mismatch between the task demands and the trainee’s ability is hypothesized to lead to improvements in WM (Lövd é n et al. 2010).”
- Authors
- Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., & Schmiedek, F.
- Affiliations
- Lund University (SE)
- Max Planck Society (DE)
- Venue
- Psychological Bulletin
- Published
- 2010
- Volume
- 136
- Issue
- 4
- Pages
- 659-676
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W1984090792
- Cited by
- 731
- References
- 202
- Citations by year
- 2026: 32 · 2025: 44 · 2024: 47 · 2023: 44 · 2022: 40 · 2021: 51 · 2020: 64 · 2019: 52 · 2018: 59 · 2017: 53 · 2016: 55 · 2015: 46 · 2014: 34 · 2013: 43 · 2012: 34
- FWCI
- 45.77
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- Lund University Publications (Lund University) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- German Federal Ministry for Education and Research
- Max Planck Society
- Swedish Research Council (DNR 421-2005-2018)
- Swedish Council for Working Life and Social Research
- Swedish Brain Power
- Alexander Von Humboldt Foundation
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- cognitive development, behavioral flexibility, processing efficiency, mental representation, frontal lobe activation, normal aging, cognitive training, theoretical framework
- MeSH terms
- Adult, Aged, Aging, Brain, Brain Mapping, Cognition, Humans, Memory, Middle Aged, Neuronal Plasticity
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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.
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