Normal aging increases discriminal dispersion in visuospatial short-term memory

Psychology and Aging

Volumn 27, Issue 3, 2012, Pages 627-637

  Noack, Hannes ^a   Lövdén, Martin ^b   Lindenberger, Ulman ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

^b KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Aging; Change detection; Discriminal dispersion; Visual short term memory

Indexed keywords

AGED; AGING; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DEPTH PERCEPTION; FEMALE; HUMAN; MALE; MEMORY CONSOLIDATION; MENTAL CAPACITY; MENTAL FUNCTION; PSYCHOMETRY; RESPONSE TIME; SHORT TERM MEMORY; VISUAL MEMORY; VISUAL STIMULATION; ADULT; AGE; LONG TERM MEMORY; MIDDLE AGED; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; REACTION TIME; VISION;

ADULT; AGE FACTORS; AGED; AGING; DISCRIMINATION (PSYCHOLOGY); FEMALE; HUMANS; MALE; MEMORY, SHORT-TERM; MIDDLE AGED; REACTION TIME; RETENTION (PSYCHOLOGY); SPACE PERCEPTION; VISUAL PERCEPTION;

EID: 84873039989     PISSN: 08827974     EISSN: 19391498     Source Type: Journal    
DOI: 10.1037/a0027251     Document Type: Article

References (86)

1. Allen, P. A. (1990). Influence of processing variability on adult age differences in memory distribution of order information. Cognitive Development, 5, 177-192. doi:10.1016/0885-2014(90)90025-O
2. Allen, P. A. (1991). On age differences in processing variability and scanning speed. Journals of Gerontology, 46, 191-201. doi:10.1093/ geronj/46.5.P191
3. Allen, P. A., Kaufman, M., Smith, A. F., & Propper, R. E. (1998a). Age differences in entropy: Primary versus secondary memory. Experimental Aging Research, 24, 307-336. doi:10.1080/036107398244175
4. Allen, P. A., Kaufman, M., Smith, A. F., & Propper, R. E. (1998b). A molar entropy model of age differences in spatial memory. Psychology and Aging, 13, 501-518. doi:10.1037/0882-7974.13.3.501
5. Alvarez, G. A., & Cavanagh, P. (2004). The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychological Science, 15, 106 -111. doi:10.1111/j.0963-7214 .2004.01502006.x
6. Anderson, D. E., Vogel, E. K., & Awh, E. (2011). Precision in working memory reaches a stable plateau when individual item limits are exceeded. The Journal of Neuroscience, 31, 1128-1138. doi:10.1523/ JNEUROSCI.4125-10.2011
7. Bach, M. (1996). The Freiburg Visual Acuity test-automatic measurement of visual acuity. Optometry and Vision Science, 73, 49-53. doi: 10.1097/00006324-199601000-00008
8. Bach, M. (2007). The Freiburg Visual Acuity Test-variability unchanged by post-hoc re-analysis. Graefe's Archive for Clinical and Experimental Ophthalmology, 245, 965-971. doi:10.1007/s00417-006-0474-4
9. Balota, D. A., Dolan, P. O., & Duchek, J. M. (2000). Memory changes in healthy older adults. In E. Tulving & F. I. M. Craik (Eds.), The Oxford handbook of memory (pp. 395-409). New York, NY: Oxford University Press.
10. Bays, P. M., Catalao, R. F., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 9, 1-11. doi:10.1167/9.10.7
11. Bays, P. M., Wu, E. Y., & Husain, M. (2011). Storage and binding of object features in visual working memory. Neuropsychologia, 49, 1622- 1631. doi:10.1016/j.neuropsychologia.2010.12.023
12. Bays, P. M., & Husain, M. (2008). Dynamic shifts of limited working memory resources in human vision. Science, 321, 851- 854. doi: 10.1126/science.1158023
13. Beck, D., & Kastner, S. (2005). Stimulus context modulates competition in human extrastriate cortex. Nature Neuroscience, 8, 1110-1116. doi: 10.1038/nn1501
14. Bennett, P. J., Sekuler, A. B., McIntosh, A. R., & Della-Maggiore, V. (2001). The effects of aging on visual memory: Evidence for functional reorganization of cortical networks. Acta Psychologica, 107, 249-273. doi:10.1016/S0001-6918(01)00037-3
15. Bennett, P. J., Sekuler, R., & Sekuler, A. B. (2007). The effects of aging on motion detection and direction identification. Vision Research, 47, 799-809. doi:10.1016/j.visres.2007.01.001
16. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436. doi:10.1163/156856897X00357
17. Braver, T. S., & Barch, D. M. (2002). A theory of cognitive control, aging cognition, and neuromodulation. Neuroscience and Biobehavioral Reviews, 26, 809-817. doi:10.1016/s0149-7634(02)00067-2
18. Carp, J., Gmeindl, L., & Reuter-Lorenz, P. A. (2010). Age differences in the neural representation of working memory revealed by multi-voxel pattern analysis. Frontiers in Human Neuroscience, 4, 217. doi:10.3389/ fnhum.2010.00217
19. Carp, J., Park, J., Polk, T. A., & Park, D. C. (2011). Age differences in neural distinctiveness revealed by multi-voxel pattern analysis. Neuroimage, 56, 736-743. doi:10.1016/j.neuroimage.2010.04.267
20. Chalfonte, B. L., & Johnson, M. K. (1996). Feature memory and binding in young and older adults. Memory & Cognition, 24, 403-416. doi: 10.3758/BF03200930
21. Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87-114. doi:10.1017/S0140525X01003922
22. Cowan, N., Naveh-Benjamin, M., Kilb, A., & Saults, J. S. (2006). Lifespan development of visual working memory: When is feature binding difficult? Developmental Psychology, 42, 1089-1102. doi:10.1037/0012-1649.42.6.1089
23. Della-Maggiore, V., Sekuler, A., Grady, C., Bennett, P., Sekuler, R., & McIntosh, A. (2000). Corticolimbic interactions associated with performance on a short-term memory task are modified by age. Journal of Neuroscience, 20, 8410-8416. doi:20/22/8410
24. Eng, H. Y., Chen, D., & Jiang, Y. (2005). Visual working memory for simple and complex visual stimuli. Psychonomic Bulletin & Review, 12, 1127-1133. doi:10.3758/BF03206454
25. Fahle, M., & Daum, I. (1997). Visual learning and memory as functions of age. Neuropsychologia, 35, 1583-1589. doi:10.1016/S0028-3932(97)00069-9
26. Faubert, J. (2002). Visual perception and aging. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 56, 164-176. doi:10.1037/h0087394
27. Faubert, J., & Bellefeuille, A. (2002). Aging effects on intra- and interattribute spatial frequency information for luminance, color, and working memory. Vision Research, 42, 369 -378. doi:10.1016/S0042-6989(01)00292-9
28. Fougnie, D., Asplund, C. L., & Marois, R. (2010). What are the units of storage in visual working memory? Journal of Vision, 10, 27. doi:10.1167/10.12.27
29. Goh, J. O., Suzuki, A., & Park, D. C. (2010). Reduced neural selectivity increases fMRI adaptation with age during face discrimination. Neuroimage, 51, 336-344. doi:10.1016/j.neuroimage.2010.01.107
30. Grady, C. L., & Craik, F. (2000). Changes in memory processing with age. Current Opinion in Neurobiology, 10, 224-231. doi:10.1016/S0959-4388(00)00073-8
31. Hoyer, W. J., & Verhaeghen, P. (2006). Memory aging. In J. E. Birren, K. W. Schaie, & R. P. Abeles (Eds.), Handbook of the psychology of aging (Vol. 6, pp. 209-232). Amsterdam, Netherlands: Elsevier. doi:10.1016/B978-012101264-9/50013-6
32. Hua, T., Li, X., He, L., Zhou, Y., Wang, Y., & Leventhal, A. (2006). Functional degradation of visual cortical cells in old cats. Neurobiology of Aging, 27, 155-162. doi:10.1016/j.neurobiolaging.2004.11.012
33. Klein, S. A. (2001). Measuring, estimating, and understanding the psychometric function: A commentary. Perception and Psychophysics, 63, 1421-1455. doi:10.3758/bf03194552
34. Kuss, M., Jäkel, F., & Wichmann, F. A. (2005a). Approximate Bayesian inference for psychometric functions using MCMC sampling (Technical Report No. 135). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.
35. Kuss, M., Jäkel, F., & Wichmann, F. A. (2005b). Bayesian inference for psychometric functions. Journal of Vision, 5, 478-492. doi:10:1167/ 5.5.8
36. Lehrl, S., Merz, J., Burkhard, G., & Fischer, S. (1991). Mehrfachwahl- Wortschatz-Intelligenztest, MWT-A. Göttingen, Germany: Hogrefe.
37. Lemay, M., Bertram, C., & Stelmach, G. (2004). Pointing to an allocentric and egocentric remembered target in younger and older adults. Experimental Aging Research, 30, 391-406. doi:10.1080/03610730490484443
38. Lennie, P. (1998). Single units and visual cortical organization. Perception, 27, 889-935. doi:10.1016/S0959-4388(00)00073-8
39. Li, S.-C., Lindenberger, U., & Frensch, P. A. (2000). Unifying cognitive aging: From neuromodulation to representation to cognition. Neurocomputing: An International Journal, 32-33, 879-890. doi:10.1016/S0925- 2312(00)00256-3
40. Li, S.-C., Lindenberger, U., & Sikström, S. (2001). Aging cognition: From neuromodulation to representation. Trends in Cognitive Sciences, 5, 479-486. doi:10.1016/S1364-6613(00)01769-1
41. Li, S.-C., Naveh-Benjamin, M., & Lindenberger, U. (2005). Aging neuromodulation impairs associative binding: A neurocomputational account. Psychological Science, 16, 445- 450. doi:10.1111/j.0956-7976.2005.01555.x
42. Li, S.-C., & Sikström, S. (2002). Integrative neurocomputational perspectives on cognitive aging, neuromodulation, and representation. Neuroscience and Biobehavioral Reviews, 26, 795-808. doi:10.1016/s0149-7634(02)00066-0
43. Li, S.-C., Lindenberger, U., Hommel, B., Aschersleben, G., Prinz, W., & Baltes, P. B. (2004). Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span. Psychological Science, 15, 155-163. doi:10.1111/j.0956-7976.2004 .01503003.x
44. Liang, Z., Yang, Y., Li, G., Zhang, J., Wang, Y., Zhou, Y., & Leventhal, A. G. (2010). Aging affects the direction selectivity of MT cells in rhesus monkeys. Neurobiology of Aging, 31, 863-873. doi:10.1016/j.neurobiolaging.2008.06.013
45. Light, L. L. (1991). Memory and aging: Four hypotheses in search of data. Annual Review of Psychology, 42, 333-376. doi:10.1146/annurev.ps.42.020191.002001
46. Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390, 279-281. doi:10.1038/36846
47. Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (2nd ed.). Mahwah, NJ: Erlbaum.
48. McIntosh, A. R., Sekuler, A. B., Penpeci, C., Rajah, M. N., Grady, C. L., Sekuler, R., & Bennett, P. J. (1999). Recruitment of unique neural systems to support visual memory in normal aging. Current Biology, 9, 1275-1278. doi:10.1016/S0960-9822(99)80512-0
49. Miller, E., Gochin, P., & Gross, C. (1993). Suppression of visual responses of neurons in inferior temporal cortex of the awake macaque by addition of a second stimulus. Brain Research, 616, 25-29. doi:10.1016/0006- 8993(93)90187-R
50. Naveh-Benjamin, M. (2000). Adult age differences in memory performance: Tests of an associative deficit hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 1170-1187. doi:10.1037//0278-7393.26.5.1170
51. Old, S. R., & Naveh-Benjamin, M. (2008). Differential effects of age on item and associative measures of memory: A meta-analysis. Psychology and Aging, 23, 104-108. doi:10.1037/0882-7974.23.1.104
52. Park, D. C., & Payer, D. (2006). Working memory across the adult lifespan. In E. Bialystock & F. I. M. Craik (Eds.), Lifespan Cognition: Mechanisms of change (pp. 128-142). New York, NY: Oxford University Press.
53. Park, D. C., Polk, T., Park, R., Minear, M., Savage, A., & Smith, M. (2004). Aging reduces neural specialization in ventral visual cortex. Proceedings of the National Academy of Sciences, USA of the United States of America, 101, 13091-13095. doi:10.1073/pnas.0405148101
54. Park, D. C., & Reuter-Lorenz, P. A. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173-196. doi:10.1146/annurev.psych.59.103006.093656
55. Park, J. Carp, J. Hebrank, A., Park, D. C., & Polk, T. A. (2010). Neural specificity predicts fluid processing ability in older adults. Journal of Neuroscience, 30, 9253-9259. doi:10.1523/JNEUROSCI.0853-10.2010
56. Payer, D., Marshuetz, C., Sutton, B., Hebrank, A., Welsh, R., & Park, D. (2006). Decreased neural specialization in old adults on a workingmemory task. NeuroReport: For Rapid Communication of Neuroscience Research, 17, 487-491. doi:10.1097/01.wnr.0000209005.40481.31
57. Pelli, D. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442. doi:10.1163/156856897X00366
58. Phillips, W. A. (1974). Distinction between sensory storage and short-term visual memory. Perception and Psychophysics, 16, 283-290. doi:10.3758/BF03203943
59. Reuter-Lorenz, P. A., & Cappell, K. A. (2008). Neurocognitive aging and the compensation hypothesis. Current Directions in Psychological Science, 17, 177-182. doi:10.1111/j.1467-8721.2008.00570.x
60. Reynolds, J. H., & Chelazzi, L. (2004). Attentional modulation of visual processing. Annual Review of Neuroscience, 27, 611-647. doi:10.1146/annurev.neuro.26.041002.131039
61. Rouder, J. N., Morey, R. D., Cowan, N., Zwilling, C. E., Morey, C. C., & Pratte, M. S. (2008). An assessment of fixed-capacity models of visual working memory. Proceedings of the National Academy of Sciences of the United States of America, 105, 5975-5979. doi:10.1073/pnas.0711295105
62. Sander, M. C., Werkle-Bergner, M., & Lindenberger, U. (2011). Binding and strategic selection in working memory: A lifespan dissociation. Psychology and Aging, 26, 612-624. doi:10.1037/a0023055
63. Sara, M., & Faubert, J. (2000). Aging, perception, and visual short-term memory for luminance-defined form. Ophthalmic & Physiological Optics, 20, 314-322. doi:10.1046/j.1475-1313.2000.00531.x
64. Scalf, P. E., & Beck, D. M. (2010). Competition in visual cortex impedes attention to multiple items. Journal of Neuroscience, 30, 161-169. doi:10.1523/JNEUROSCI.4207-09.2010
65. Schneider-Garces, N. J., Gordon, B. A., Brumback-Peltz, C. R., Shin, E., Lee, Y., Sutton, B. P.,. . Fabiani, M. (2010). Span, CRUNCH, and beyond: Working memory capacity and the aging brain. Journal of Cognitive Neuroscience, 22, 655-669. doi:10.1162/jocn.2009.21230
66. Shing, Y. L., Werkle-Bergner, M., Brehmer, Y., Mueller, V., Li, S.-C., & Lindenberger, U. (2010). Episodic memory across the lifespan: The contributions of associative and strategic components. Neuroscience & Biobehavioral Reviews, 34, 1080 -1091. doi:10.1016/j.neubiorev .2009.11.002
67. Sivia, D. S. (2004). Data analysis: A Bayesian tutorial. Oxford, England: Oxford University Press.
68. Spengler, F., Godde, B., & Dinse, H. (1995). Effects of ageing on topographic organization of somatosensory cortex. NeuroReport: For Rapid Communication of Neuroscience Research, 6, 469-473. doi:10.1097/ 00001756-199502000-00016
69. Sweeney, J.A., Rosano, C., Berman, R. A., & Luna, B. (2001). Inhibitory control of attention declines more than working memory during normal aging. Neurobiology of Aging, 22, 39 - 47. doi:10.1016/S0197- 4580(00)00175-5
70. Thurstone, L. L. (1927). Psychophysical analysis. The American Journal of Psychology, 38, 368-389. doi:10.2307/1415006
71. Todd, J. J., & Marois, R. (2004). Capacity limit of visual short-term memory in human posterior parietal cortex. Nature, 428, 751-754. doi:10.1038/nature02466
72. Velhagen, K. (2003). Tafeln zur Prüfung des Farbsinns (33rd ed.). Stuttgart, Germany: Thieme.
73. Verghese, P. (2001). Visual search and attention: A signal detection theory approach. Neuron, 31, 523-535.
74. Voss, M. W., Erickson, K. I., Chaddock, L., Prakash, R. S., Colcombe, S. J., Morris, K. S.,. . Kramer, A. F. (2008). Dedifferentiation in the visual cortex: An fMRI investigation of individual differences in older adults. Brain Research, 1244, 121-131. doi:10.1016/j.brainres.2008.09.051
75. Wechsler, D. (1981). Wechsler Adult Intelligence Scale-Revised (WAIS-R). New York, NY: Psychological Corporation.
76. Welford, A. T. (1981). Signal, noise, performance, and age. Human Factors, 23(1), 97-109.
77. Welford, A. T. (1984). Between bodily changes and performance: Some possible reasons for slowing with age. Experimental Aging Research, 10, 73-88. doi:10.1080/03610738408258548
78. Wickens, T. D. (2002). Elementary signal detection theory. Oxford, England: Oxford University Press.
79. Wilken, P., & Ma, W. (2004). A detection theory account of change detection. Journal of Vision, 4, 1120-1135. doi:10:1167/4.12.11
80. Xu, Y., & Chun, M. (2006). Dissociable neural mechanisms supporting visual short-term memory for objects. Nature, 440, 91-95. doi:10.1038/nature04262
81. Xu, Y., & Chun, M. M. (2009). Selecting and perceiving multiple visual objects. Trends in Cognitive Sciences, 13, 167-174. doi:10.1016/ j.tics.2009.01.008
82. Yang, Y., Liang, Z., Li, G., Wang, Y., Zhou, Y., & Leventhal, A. (2008). Aging affects contrast response functions and adaptation of middle temporal visual area neurons in rhesus monkeys. Neuroscience, 156, 748-757. doi:10.1016/j.neuroscience.2008.08.007
83. Yang, Y., Zhang, J., Liang, Z., Li, G., Wang, Y., Ma, Y.,. . Leventhal, A. G. (2009). Aging affects the neural representation of speed in Macaque area MT. Cerebral Cortex, 19, 1957-1967. doi:10.1093/cercor/bhn221
84. Yu, S., Wang, Y., Li, X., Zhou, Y., & Leventhal, A. (2006). Functional degradation of extrastriate visual cortex in senescent rhesus monkeys. Neuroscience, 140, 1023-1029. doi:10.1016/j.neuroscience.2006.01.015
85. Zhang, W., & Luck, S. J. (2009). Sudden death and gradual decay in visual working memory. Psychological Sciences, 20, 423-428. doi:10.1111/ j.1467-9280.2009.02322.x
86. Zhang, W. W., & Luck, S. J. (2008). Discrete fixed-resolution representations in visual working memory. Nature, 453, 233-235. doi:10.1038/nature06860.