ATTENTION AND AGING--UNDERSTANDING NEGATIVE PRIMING
Project Number5R01AG007991-09
Former Number1R01AG013177-01
Contact PI/Project LeaderMCDOWD, JOAN M
Awardee OrganizationUNIVERSITY OF KANSAS MEDICAL CENTER
Description
Abstract Text
The inhibitory deficit hypothesis of cognitive aging (Hasher & Zacks,
1988) holds that age-related declines in inhibitory function are
responsible for many of the changes in cognitive functioning observed in
aging. Eight experiments are proposed here to examine age differences in
inhibitory function in the context of the negative priming paradigm. The
phenomenon of negative priming depends on efficient inhibitory processes,
and so allows the straightforward prediction that older adults should
exhibit reduced negative priming, or even none at all. The literature,
however, indicates that the picture is not quite so simple. Some studies
observe age differences in negative priming and some have not. To deal
with this state of affairs, a number of theories and models of selective
attention, aging, and negative priming are beginning to appear. These
models and theories offer quite different accounts of the processes
underlying selective attention performance on a negative priming task. The
experiments proposed here attempt to differentiate between the models with
critical tests of predictions worked out for those models. The goal of
this work is to narrow the field of possible explanations for the pattern
of results reported in the literature, and in so doing contribute to our
understanding of the mechanisms underlying age differences in selective
attention. In addition, this work can contribute knowledge useful for
ameliorating behavioral deficits experienced in later adulthood.
Public Health Relevance Statement
Data not available.
NIH Spending Category
No NIH Spending Category available.
Project Terms
age differenceagingattentionauditory stimulusbehavior predictionbehavior testbehavioral habituation /sensitizationclinical researchcognitionhuman old age (65+)human subjectperceptionpsychological modelsyoung adult human (21-34)
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