» Articles » PMID: 19320550

Span, CRUNCH, and Beyond: Working Memory Capacity and the Aging Brain

Overview
Journal J Cogn Neurosci
Specialty Neurology
Date 2009 Mar 27
PMID 19320550
Citations 184
Authors
Affiliations
Soon will be listed here.
Abstract

Neuroimaging data emphasize that older adults often show greater extent of brain activation than younger adults for similar objective levels of difficulty. A possible interpretation of this finding is that older adults need to recruit neuronal resources at lower loads than younger adults, leaving no resources for higher loads, and thus leading to performance decrements [Compensation-Related Utilization of Neural Circuits Hypothesis; e.g., Reuter-Lorenz, P. A., & Cappell, K. A. Neurocognitive aging and the compensation hypothesis. Current Directions in Psychological Science, 17, 177-182, 2008]. The Compensation-Related Utilization of Neural Circuits Hypothesis leads to the prediction that activation differences between younger and older adults should disappear when task difficulty is made subjectively comparable. In a Sternberg memory search task, this can be achieved by assessing brain activity as a function of load relative to the individual's memory span, which declines with age. Specifically, we hypothesized a nonlinear relationship between load and both performance and brain activity and predicted that asymptotes in the brain activation function should correlate with performance asymptotes (corresponding to working memory span). The results suggest that age differences in brain activation can be largely attributed to individual variations in working memory span. Interestingly, the brain activation data show a sigmoid relationship with load. Results are discussed in terms of Cowan's [Cowan, N. The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87-114, 2001] model of working memory and theories of impaired inhibitory processes in aging.

Citing Articles

Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network.

Son J, Arif Y, Okelberry H, Johnson H, Willett M, Wiesman A NPJ Aging. 2024; 10(1):54.

PMID: 39580466 PMC: 11585575. DOI: 10.1038/s41514-024-00182-0.


The language network ages well: Preserved selectivity, lateralization, and within-network functional synchronization in older brains.

Billot A, Jhingan N, Varkanitsa M, Blank I, Ryskin R, Kiran S bioRxiv. 2024; .

PMID: 39484368 PMC: 11527140. DOI: 10.1101/2024.10.23.619954.


Theta-gamma-coupling as predictor of working memory performance in young and elderly healthy people.

Abubaker M, Al Qasem W, Pilatova K, Jezdik P, Kvasnak E Mol Brain. 2024; 17(1):74.

PMID: 39415245 PMC: 11619296. DOI: 10.1186/s13041-024-01149-8.


A meta-analysis of cognitive flexibility in aging: Perspective from functional network and lateralization.

Xia H, Hou Y, Li Q, Chen A Hum Brain Mapp. 2024; 45(14):e70031.

PMID: 39360550 PMC: 11447525. DOI: 10.1002/hbm.70031.


People with HIV exhibit spectrally distinct patterns of rhythmic cortical activity serving cognitive flexibility.

Landler K, Schantell M, Glesinger R, Horne L, Embury C, Son J Neurobiol Dis. 2024; 201:106680.

PMID: 39326464 PMC: 11525061. DOI: 10.1016/j.nbd.2024.106680.


References
1.
Raz N, Gunning F, Head D, Dupuis J, McQuain J, Briggs S . Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. Cereb Cortex. 1997; 7(3):268-82. DOI: 10.1093/cercor/7.3.268. View

2.
Lindenberger U, Baltes P . Intellectual functioning in old and very old age: cross-sectional results from the Berlin Aging Study. Psychol Aging. 1997; 12(3):410-32. DOI: 10.1037//0882-7974.12.3.410. View

3.
Kane M, Bleckley M, Conway A, Engle R . A controlled-attention view of working-memory capacity. J Exp Psychol Gen. 2001; 130(2):169-83. DOI: 10.1037//0096-3445.130.2.169. View

4.
Salthouse T . The processing-speed theory of adult age differences in cognition. Psychol Rev. 1996; 103(3):403-28. DOI: 10.1037/0033-295x.103.3.403. View

5.
Mayeux R, Stern Y, Rosen J, Leventhal J . Depression, intellectual impairment, and Parkinson disease. Neurology. 1981; 31(6):645-50. DOI: 10.1212/wnl.31.6.645. View