Skip to main content icon/video/no-internet

Aging, Memory, and Information Processing Speed

This entry describes how the speed with which people can make decisions and their ability to remember events change with age. These abilities are discussed together because behavioral measures of speed and memory efficiency and the rates at which they change with age are very strongly correlated. This once promoted the hypothesis that age changes in all or most abilities are driven by “general slowing” of information processing, possibly due to changes in efficiency of neurons and their ability to interact with each other. The entry then considers how information received by the sense organs is, in turn, recorded and transformed in successive stages of the memory system (i.e., immediate memory, working memory, and long-term memory). The entry also discusses the extent to which each stage depends on information processing. Long-term memory for past life events is addressed, as well as how intentions and plans are held in “prospective memory,” to be evoked and implemented when necessary. Finally, the entry discusses how new information from brain imaging allows us to disassociate the effects of gross brain changes on decision speed, on memory, and on the formation and execution of intentions and plans, suggesting a new interpretation for the apparent strong dependency of memory efficiency on information processing speed.

Measures Sensitive to Aging

The behavioral measurements that are most sensitive to changes in aging brains are memory failures and slowing of the speed with which we can make simple decisions. Slowing seems to reflect a basic change in brain efficiency rather than loss of motivation or greater caution, because the limiting speed at which accurate decisions can be made becomes longer as brain aging progresses.

Until the 1980s, when brain imaging began to provide direct measures of neurophysiological changes in living and functioning brains, speculative models for cognitive aging could be derived only by comparing different groups of older and younger people or by repeatedly testing the same people, as they aged, on the same behavioral tasks. Unfortunately, any behavioral task can give us only two different measures of performance: how fast and how accurately we can perform it. These two measures trade off against each other, as in memory tasks, where, although the immediate measure of performance is the number of errors made, shortening the time that we are allowed to inspect items impairs our ability to remember them. Fergus Craik's excellent metaphor is that we increase the reliability of our memory in proportion to the “depth of processing” that we can achieve by making connections with other material that we already know. Deeper processing takes longer and, because they process information more slowly, older people are at a proportional disadvantage.

For this reason, slowing of information processing speed must, inevitably, appear a sensitive “master” index of age-related change in all tasks. Because people can maintain accuracy by responding more slowly, changes in speed are usually detectable before changes in accuracy are observed. Thus, to be detectable, any observed changes in task performance with age must involve changes in speed. The deeper question is whether, apart from being the critical one of the only two task performance indices that we can measure, speed is also the predominant performance characteristic of our cognitive systems. That is, whether slowing of decision speed is the functional cause of changes in all or most other mental abilities. If it is, we may hope that, by comparing the relative sizes of differences in speed between older and younger people across a variety of tasks, we may be able to use behavioral evidence alone to frame useful hypotheses as to whether aging affects some functional systems earlier and more than others. For example, we might suppose, with the earliest investigators of human behavior such as Wilhelm Wundt and Franciscus Donders, that loss of speed may directly reflect changes in the basic neurophysiological performance characteristics of our brains and central nervous systems. Until the late 20th century, investigators such as Hans Eysenck, Art Jensen, Tim Salthouse, and others suggested that speed on simple tasks directly mirrors elementary biological properties of our nervous systems such as synaptic conduction times, rates of neural transmission, or the degree of degradation of connectivity in neural networks; discussions in cognitive gerontology over the past 50 years have been dominated by this point of view. More recent evidence suggests that declines in maximum information processing speed limit memory efficiency not only by restricting the depth to which we can process information or affecting the maximum rate of rehearsal but also because slowing is a marker for basic neuronal changes in the entire brain that affect all cognitive abilities.

...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles

Sage Recommends

We found other relevant content for you on other Sage platforms.

Loading