Evidence map›Paper›PMID 31376024›Full record

ArticleAttention, perception & psychophysics2020

Response-level processing during visual feature search: Effects of frontoparietal activation and adult age.

David J Madden, Rachel E Siciliano, Catherine W Tallman, Zachary A Monge, Andreas Voss, Jessica R Cohen

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

David J MaddenBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA. david.madden@duke.edu.
Rachel E SicilianoBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
Catherine W TallmanBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
Zachary A MongeBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
Andreas VossInstitute of Psychology, University of Heidelberg, Heidelberg, Germany.
Jessica R CohenDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Neuroimaging of Visual Attention in AgingR01AG039684 · NIA · DUKE UNIVERSITY · PI MADDEN, DAVID J. · 2011 to 2022
$5.0M
Quantitative Susceptibility Mapping of Iron Accumulation in Neurocognitive AgingR56AG052576 · NIA · DUKE UNIVERSITY · PI CHEN, NAN-KUEI, LIU, CHUNLEI · 2017 to 2017
$602k
NIA NIH HHS R01 AG039684NIA NIH HHS R56 AG052576
6 · The paper itself

Abstract

Previous research suggests that feature search performance is relatively resistant to age-related decline. However, little is known regarding the neural mechanisms underlying the age-related constancy of feature search. In this experiment, we used a diffusion decision model of reaction time (RT), and event-related functional magnetic resonance imaging (fMRI) to investigate age-related differences in response-level processing during visual feature search. Participants were 80 healthy, right-handed, community-dwelling individuals, 19-79 years of age. Analyses of search performance indicated that targets accompanied by response-incompatible distractors were associated with a significant increase in the nondecision-time (t0) model parameter, possibly reflecting the additional time required for response execution. Nondecision time increased significantly with increasing age, but no age-related effects were evident in drift rate, cautiousness (boundary separation, a), or in the specific effects of response compatibility. Nondecision time was also associated with a pattern of activation and deactivation in frontoparietal regions. The relation of age to nondecision time was indirect, mediated by this pattern of frontoparietal activation and deactivation. Response-compatible and -incompatible trials were associated with specific patterns of activation in the medial and superior parietal cortex, and frontal eye field, but these activation effects did not mediate the relation between age and search performance. These findings suggest that, in the context of a highly efficient feature search task, the age-related influence of frontoparietal activation is operative at a relatively general level, which is common to the task conditions, rather than at the response level specifically.

Indexed as

Age FactorsAdultAgedAttentionDecision MakingFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleMiddle AgedParietal LobeReaction TimeVisual PerceptionYoung AdultAttention and agingAttention: neural mechanismsVisual search

Identifiers

PMID31376024
PMCPMC6995405

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.