Aging and distraction by highly familiar stimuli during visual search

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1983-07-01

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Abstract

P. Rabbitt's (1965, 1968) theory regarding age-related changes in cognition proposes that aging is accompanied by a decreased ability to ignore irrelevant information (perceptual noise). The present experiment examined age differences in the extent to which highly familiar stimuli used as perceptual noise could disrupt visual search performance. On Days 1-4, 10 Ss aged 19-27 yrs and 10 Ss aged 63-77 yrs performed a search task with specific, unchanging sets of target and nontarget stimuli (letters). Performance on a subsequent search task (Day 5) was disrupted when these familiar stimuli appeared as noise items in the displays, as compared with trials on which only new, unpracticed stimuli were used. The magnitude of the distraction associated with the familiar stimuli on Day 5 was equivalent for the 2 age groups. However, age differences in Day 5 search performance increased as more items in the simulus display required inspection. Age differences were thus influenced more by the requirement to attend to relevant information than by distraction from irrelevant information. (23 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved). © 1983 American Psychological Association.

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10.1037/0012-1649.19.4.499

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Madden, DJ (1983). Aging and distraction by highly familiar stimuli during visual search. Developmental Psychology, 19(4). pp. 499–507. 10.1037/0012-1649.19.4.499 Retrieved from https://hdl.handle.net/10161/22552.

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Scholars@Duke

Madden

David Joseph Madden

Professor in Psychiatry and Behavioral Sciences

My research focuses primarily on the cognitive neuroscience of aging: the investigation of age-related changes in perception, attention, and memory, using both behavioral measures and neuroimaging techniques, including positron emission tomography (PET), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI).

The behavioral measures have focused on reaction time, with the goal of distinguishing age-related changes in specific cognitive abilities from more general effects arising from a slowing in elementary perceptual processes. The cognitive abilities of interest include selective attention as measured in visual search tasks, semantic and episodic memory retrieval, and executive control processes.

The behavioral measures are necessary to define the cognitive abilities of interest, and the neuroimaging techniques help define the functional neuroanatomy of those abilities. The PET and fMRI measures provide information regarding neural activity during cognitive performance. DTI is a recently developed technique that images the structural integrity of white matter. The white matter tracts of the brain provide critical pathways linking the gray matter regions, and thus this work will complement the studies using PET and fMRI that focus on gray matter activation.

A current focus of the research program is the functional connectivity among regions, not only during cognitive task performance but also during rest. These latter measures, referred to as intrinsic functional connectivity, are beginning to show promise as an index of overall brain functional efficiency, which can be assessed without the implementation of a specific cognitive task. From DTI, information can be obtained regarding how anatomical connectivity constrains intrinsic functional connectivity. It will be important to determine the relative influence of white matter pathway integrity, intrinsic functional connectivity, and task-related functional connectivity, as mediators of age-related differences in behavioral measures of cognitive performance.

Ultimately, the research program can help link age-related changes in cognitive performance to changes in the structure and function of specific neural systems. The results also have implications for clinical translation, in terms of the identification of neural biomarkers for the diagnosis of neural pathology and targeting rehabilitation procedures.


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