Sixteen healthy young adults (ages 18-32) and 16 healthy older adults (ages 67-81) completed a delayed response task in which they saw the following visual sequence: memory stimuli (2 abstract shapes; 3,000 ms), a blank delay (5,000 ms), a probe stimulus of variable duration (one abstract shape; 125, 250, 500, 1,000, or 2,000 ms), and a mask (500 ms). Subjects decided whether the probe stimulus matched either of the memory stimuli; they were instructed to respond during the mask, placing greater emphasis on speed than accuracy. The authors used D. L. Hintzman & T. 3-parameter compound bounded exponential model of speed-accuracy tradeoff to describe changes in discriminability associated with total processing time. Group-level analysis revealed a higher rate parameter and a higher asymptote parameter for the young adult group, but no difference across groups in x-intercept. Proxy measures of cognitive reserve (Y. Stern et al., 2005) predicted the rate parameter value, particularly in older adults. Results suggest that in working memory, aging impairs both the maximum capacity for discriminability and the rate of information accumulation, but not the temporal threshold for discriminability. Keywords working memory; aging; speed-accuracy tradeoff; cognitive reserve Healthy aging impairs human memory in general and working memory in particular (Grady & Craik, 2000). The present study seeks to characterize the specific attributes of working memory (WM) that deteriorate with age. In a delayed-response task, we used the responsesignal method to compare the tradeoff between processing time and recognition memory discriminability in young and older adults.Working memory suffers an age-related loss of both efficiency (Salthouse & Babcock, 1991) and capacity (Zacks & Hasher, 1993). Previous aging literature has extrapolated from simple measures of task performance to theorize about these broader elements of WM. Efficiency is often measured by reaction time (e.g., Anders, Fozard, & Lillyquist, 1972;Salthouse, 1992), and capacity is often described by the number of items remembered (e.g., Holtzer, Stern, & Rakitin, 2004;Oberauer, 2001). In the present study, we mathematically modeled subjects'
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NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript task performance to derive quantitative measures of WM retrieval dynamics. These measures characterize broad components of WM and are more directly related to the ideas of efficiency and capacity than simpler measures like reaction time. Our methodology also helps relate theories of WM and aging to the notion of individual differences in reserve against memory loss. Below, we discuss models of WM and how our experimental paradigm relates to these models and to cognitive reserve.WM consists of three distinct processes: encoding, rehearsal, and retrieval (Awh et al., 1996;Jonides, Lacey, & Nee, 2005). Neuroimaging studies have revealed differences between the neural substrates of these processes (e.g., J. R. Anderson, Qin, Jung, & Carte...