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

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Schneider-Garces, Nils J., Gordon, Brian A., Brumback-Peltz, Carrie R., Shin, Eunsam, Lee, Yukyung, Sutton, Bradley P., Maclin, Edward L., Gratton, Gabriele, Fabiani, Monica·2010·Journal of Cognitive Neuroscience

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.

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Research works printed but not linked: 57

  1. Baddeley, 1986, Working memory.
  2. Baddeley, 1974, Working memory., 47
  3. Beck, 1996, Manual for the Beck Depression Inventory.
  4. Beckmann, 2003, General multilevel linear modeling for group analysis in fMRI., Neuroimage, 20, 1052, 10.1016/S1053-8119(03)00435-X · DOI · Paper page
  5. Bopp, 2005, Aging and verbal memory span: A meta-analysis., Journals of Gerontology, Series B, Psychological Sciences and Social Sciences, 60, 223, 10.1093/geronb/60.5.P223 · DOI · Paper page
  6. Bunge, 2001, Prefrontal regions involved in keeping information in and out of mind., Brain, 124, 2074, 10.1093/brain/124.10.2074 · DOI · Paper page
  7. Cabeza, 2004, Task-independent and task-specific age effects on brain activity during working memory, visual attention and episodic retrieval., Cerebral Cortex, 14, 364, 10.1093/cercor/bhg133 · DOI · Paper page
  8. Cabeza, 2002, Similarities and differences in the neural correlates of episodic memory retrieval and working memory., Neuroimage, 16, 317, 10.1006/nimg.2002.1063 · DOI · Paper page
  9. Cornette, 2001, The neural substrate of orientation working memory., Journal of Cognitive Neuroscience, 13, 813, 10.1162/08989290152541476 · DOI
  10. Cowan, 2005, On the capacity of attention: Its estimation and its role in working memory and cognitive aptitudes., Cognitive Psychology, 51, 42, 10.1016/j.cogpsych.2004.12.001 · DOI · Paper page
  11. Craik, 1968, Short-term memory and the aging process., 131
  12. Craik, 1982, Aging and cognitive deficits: The role of attentional resources., 191, 10.1007/978-1-4684-4178-9_11 · DOI · Paper page
  13. D'Esposito, 2000, Prefrontal cortical contributions to working memory: Evidence from event-related fMRI studies., Experimental Brain Research, 133, 3, 10.1007/s002210000395 · DOI · Paper page
  14. Fabiani, 1995, Changes in brain activity patterns in aging: The novelty oddball., Psychophysiology, 32, 579, 10.1111/j.1469-8986.1995.tb01234.x · DOI
  15. Fabiani, 1998, Individual differences in P3 scalp distribution in older adults, and their relationship to frontal lobe function., Psychophysiology, 35, 698, 10.1111/1469-8986.3560698 · DOI
  16. Fabiani, 2005, Electrophysiological and optical measures of cognitive aging., 85
  17. Fabiani, 2006, Reduced suppression or labile memory? Mechanisms of inefficient filtering of irrelevant information in older adults., Journal of Cognitive Neuroscience, 18, 637, 10.1162/jocn.2006.18.4.637 · DOI
  18. Gordon, 2008, Anatomical correlates of aging, cardiopulmonary fitness level, and education., Psychophysiology, 45, 825, 10.1111/j.1469-8986.2008.00676.x · DOI
  19. Grady, 1994, Age-related changes in cortical blood flow activation during visual processing of faces and location., Journal of Neuroscience, 14, 1450, 10.1523/JNEUROSCI.14-03-01450.1994 · DOI · Paper page
  20. Grady, 2008, Age-related differences in brain activity underlying working memory for spatial and nonspatial auditory information., Cerebral Cortex, 18, 189, 10.1093/cercor/bhm045 · DOI
  21. Gratton, 2001, Shedding light on brain function: The event-related optical signal., Trends in Cognitive Science, 5, 357, 10.1016/S1364-6613(00)01701-0 · DOI
  22. Hasher, 2008, Inhibitory mechanisms and the control of attention., 227, 10.1093/acprof:oso/9780195168648.003.0009 · DOI · Paper page
  23. Hasher, 1988, Working memory, comprehension, and aging: A review and a new view., Psychology of Learning and Motivation, 22, 193, 10.1016/S0079-7421(08)60041-9 · DOI · Paper page
  24. Henson, 2000, Recoding, storage, rehearsal and grouping in verbal short-term memory: An fMRI study., Neuropsychologia, 38, 426, 10.1016/S0028-3932(99)00098-6 · DOI · Paper page
  25. Kane, 2001, A controlled-attention view of working-memory capacity., Journal of Experimental Psychology: General, 44, 169, 10.1037/0096-3445.130.2.169 · DOI · Paper page
  26. Kane, 2000, Working-memory capacity, proactive interference, and divided attention: Limits on long-term memory retrieval., Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 336
  27. La Pointe, 1990, Simple and complex word spans as measures of working memory capacity., Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 1118
  28. Lindenberger, 1997, Intellectual functioning in old and very old age: Cross-sectional results from the Berlin Aging Study., Psychology and Aging, 12, 410, 10.1037/0882-7974.12.3.410 · doi:10.1037/0882-7974.12.3.410
  29. Maldjian, 2003, An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets., Neuroimage, 19, 1233, 10.1016/S1053-8119(03)00169-1 · DOI · Paper page
  30. Mattay, 2006, Neurophysiological correlates of age-related changes in working memory capacity., Neuroscience Letters, 392, 32, 10.1016/j.neulet.2005.09.025 · DOI · Paper page
  31. Mayeux, 1981, Depression, intellectual impairment, and Parkinson disease., Neurology, 31, 645, 10.1212/WNL.31.6.645 · DOI · Paper page
  32. McIntosh, 1999, Recruitment of unique neural systems to support visual memory in normal aging., Current Biology, 9, 1275, 10.1016/S0960-9822(99)80512-0 · DOI
  33. Park, 2002, Models of visuospatial and verbal memory across the adult life span., Psychology and Aging, 17, 299, 10.1037/0882-7974.17.2.299 · doi:10.1037/0882-7974.17.2.299 · Paper page
  34. Park, 2003, Working memory for complex scenes: Age differences in frontal and hippocampal activations., Journal of Cognitive Neuroscience, 15, 1122, 10.1162/089892903322598094 · DOI
  35. Payer, 2006, Decreased neural specialization in old adults on a working memory task., NeuroReport, 17, 487, 10.1097/01.wnr.0000209005.40481.31 · DOI
  36. Raz, 1997, Selective aging of the human cerebral cortex observed in vivo: Differential vulnerability of the prefrontal gray matter., Cerebral Cortex, 7, 268, 10.1093/cercor/7.3.268 · DOI · Paper page
  37. Resnick, 2000, One-year age changes in MRI brain volumes in older adults., Cerebral Cortex, 10, 464, 10.1093/cercor/10.5.464 · DOI · Paper page
  38. Rettmann, 2006, Cross-sectional and longitudinal analyses of anatomical sulcal changes associated with aging., Cerebral Cortex, 16, 1584, 10.1093/cercor/bhj095 · DOI
  39. Reuter-Lorenz, 2008, Neurocognitive aging and the compensation hypothesis., Current Directions in Psychological Science, 17, 177, 10.1111/j.1467-8721.2008.00570.x · DOI · Paper page
  40. Reuter-Lorenz, 2005, Brain aging: Reorganizing discoveries about the aging mind., Current Opinion in Neurobiology, 15, 245, 10.1016/j.conb.2005.03.016 · DOI · Paper page
  41. Reuter-Lorenz, 2001, Neurocognitive aging of storage and executive processes., European Journal of Cognitive Psychology, 13, 257, 10.1080/09541440125972 · doi:10.1080/09541440125972
  42. Reuter-Lorenz, 1999, Neural recruitment and aging: Two hemispheres are better than one, especially as you age., Psychological Science, 10, 494, 10.1111/1467-9280.00195 · DOI
  43. Riecker, 2006, Functional significance of age-related differences in motor activation patterns., Neuroimage, 32, 1345, 10.1016/j.neuroimage.2006.05.021 · DOI
  44. Rypma, 2002, The influence of working-memory demand and subject performance on prefrontal cortical activity., Journal of Cognitive Neuroscience, 14, 721, 10.1162/08989290260138627 · DOI · Paper page
  45. Rypma, 2005, Dissociating age-related changes in cognitive strategy and neural efficiency using event-related fMRI., Cortex, 41, 582, 10.1016/S0010-9452(08)70198-9 · DOI
  46. Rypma, 1999, The roles of prefrontal brain regions in components of working memory: Effects of memory load and individual differences., Proceedings of the National Academy of Sciences, U.S.A., 96, 6558, 10.1073/pnas.96.11.6558 · DOI · Paper page
  47. Rypma, 2000, Isolating the neural mechanisms of age-related changes in human working memory., Nature Neuroscience, 3, 509, 10.1038/74889 · DOI · Paper page
  48. Rypma, 2001, Age-related changes in brain–behavior relationships: Evidence from event-related functional MRI studies., European Journal of Cognitive Psychology, 13, 235, 10.1080/09541440042000296 · DOI
  49. Rypma, 2007, Age-related differences in activation-performance relations in delayed-response task: A multiple component analysis., Cortex, 43, 65, 10.1016/S0010-9452(08)70446-5 · DOI
  50. Spearman, 1927, The abilities of man.
  51. Sternberg, 1966, High-speed scanning in human memory., Science, 153, 652, 10.1126/science.153.3736.652 · DOI · Paper page
  52. Todd, 2005, Posterior parietal cortex activity predicts individual differences in visual short-term memory capacity., Cognitive, Affective, and Behavioral Neuroscience, 5, 144, 10.3758/CABN.5.2.144 · DOI · Paper page
  53. Veltman, 2003, Maintenance versus manipulation in verbal working memory revisited: An fMRI study., Neuroimage, 18, 247, 10.1016/S1053-8119(02)00049-6 · DOI · Paper page
  54. Verhaeghen, 1997, Meta-analyses of age-cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models., Psychological Bulletin, 122, 231, 10.1037/0033-2909.122.3.231 · DOI · Paper page
  55. Wechsler, 1981, Wechsler Adult Intelligence Scale-Revised.
  56. Woolrich, 2004, Multilevel linear modelling for fMRI group analysis using Bayesian inference., Neuroimage, 21, 1732, 10.1016/j.neuroimage.2003.12.023 · DOI · Paper page
  57. Worsley, 1992, A three-dimensional statistical analysis for CBF activation studies in human brain., Journal of Cerebral Blood Flow and Metabolism, 12, 900, 10.1038/jcbfm.1992.127 · DOI · Paper page

Cited by

Metadata

Authors
Schneider-Garces, N. J., Gordon, B. A., Brumback-Peltz, C. R., Shin, E., Lee, Y., Sutton, B. P., Maclin, E. L., Gratton, G., & Fabiani, M.
Venue
Journal of Cognitive Neuroscience
Publisher
MIT Press
Published
2010-04-01
Volume
22
Issue
4
Pages
655-669
ISSN
  • 0898-929X (ISSN-L)
  • 1530-8898
OpenAlex
W2159872566
Cited by
394
References
12
FWCI
22.09
Type
journal article
Language
en
Open access
green

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