2014
How Does it STAC Up? Revisiting the Scaffolding Theory of Aging and Cognition
Abstract: “The Scaffolding Theory of Aging and Cognition (STAC)”, proposed in 2009, is a conceptual model of cognitive aging that integrated evidence from structural and functional neuroimaging to explain how the combined effects of adverse and compensatory neural processes produce varying levels of cognitive function. The model made clear and testable predictions about how different brain variables, both structural and functional, were related to cognitive function, focusing on the core construct of compensatory scaffo…
Search citation statements
Paper Sections
Select...
634
233
184
8
Citation Types
106
746
2
4
Year Published
2014
2026
Publication Types
Select...
699
121
72
48
Relationship
14
926
Authors
Journals
Cited by 903 publications
(861 citation statements)
References 194 publications
106
746
2
4
“…Our findings here support theoretical work in cognitive aging suggesting that age-related neural dedifferentiation, i.e., a reduced neuronal selectivity in aged brain, is a key contributor of cognitive function in older adults (Li et al, 2001 ). In contrast, our results are not consistent with proposals that neural dedifferentiation might serve as a compensatory mechanism (Park and Reuter-Lorenz, 2009 ; Reuter-Lorenz and Park, 2010 ), but see (Reuter-Lorenz and Park, 2014 ). The neural dedifferentiation-related compensation hypotheses, such as the original STAC (the Scaffolding Theory of Aging and Cognition) model were inspired by findings from functional neuroimaging studies that often revealed greater activation of prefrontal and parietal regions in older adults (Gutchess et al, 2005 ; Davis et al, 2008 ), as well as an increase in bilateral recruitment (compared to more lateralized activity in younger adults) (Dolcos et al, 2002 ).…”
Section: Discussioncontrasting
confidence: 99%
“…Our findings here support theoretical work in cognitive aging suggesting that age-related neural dedifferentiation, i.e., a reduced neuronal selectivity in aged brain, is a key contributor of cognitive function in older adults (Li et al, 2001 ). In contrast, our results are not consistent with proposals that neural dedifferentiation might serve as a compensatory mechanism (Park and Reuter-Lorenz, 2009 ; Reuter-Lorenz and Park, 2010 ), but see (Reuter-Lorenz and Park, 2014 ). The neural dedifferentiation-related compensation hypotheses, such as the original STAC (the Scaffolding Theory of Aging and Cognition) model were inspired by findings from functional neuroimaging studies that often revealed greater activation of prefrontal and parietal regions in older adults (Gutchess et al, 2005 ; Davis et al, 2008 ), as well as an increase in bilateral recruitment (compared to more lateralized activity in younger adults) (Dolcos et al, 2002 ).…”
Section: Discussioncontrasting
confidence: 99%
“…Frontal regions exhibited a clear quantitative difference: specifically, lateral frontal clusters—where younger adults typically outperform older adults—showed significant negative correlations with IES in older adults, suggesting maladaptive overactivation under high demand (MS–4L). While theories such as STAC-r (Reuter-Lorenz & Park, 2014) and hierarchical models (Badre & Nee, 2018) propose that certain anterior PFC subregions may offer transient compensatory support, our data do not reveal a clear adaptive role for these regions under high cognitive load. The absence of significant positive activation–performance correlations suggests that, when demands exceed capacity, these areas may fail to support performance.…”
Section: Discussioncontrasting
confidence: 96%
“…Specifically, the source-based ERSP analysis revealed that older participants showed a more widespread ERSP Stroop effect in the beta2 frequencies, as compared to younger ones, which involved extended portions of bilateral dorsal frontal and parietal cortices without any sign of hemispheric asymmetry. This result is consistent with other studies reporting an age-related overactivation and reduction in hemispheric specialization, or a general dedifferentiation of neural processing (Cabeza, 2002;Goh, 2011;Park and Reuter-Lorenz, 2009;Reuter-Lorenz and Park, 2014).…”
Section: Discussionsupporting
confidence: 93%
