Evidence map›Paper›PMID 34287766›Full record

ArticlePsychonomic bulletin & review2022

Concurrent target detection is associated with better memory for object exemplars.

Caitlin A Sisk, Vanessa G Lee

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Psychonomic bulletin & review, 2022. 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
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Caitlin A SiskDepartment of Psychology, University of Minnesota, 75 East River Road, Minneapolis, MN, 55455, USA. siskx024@umn.edu.
Vanessa G LeeDepartment of Psychology, University of Minnesota, 75 East River Road, Minneapolis, MN, 55455, USA.
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under continuous dual-task conditions, participants show better memory for background information appearing at the same time as a response target in a concurrent task than for information appearing with a nontarget (the attentional boost effect, or ABE). While this effect has been demonstrated across a wide range of stimuli, few studies have examined the perceptual specificity of the memory difference. Here, we explored whether the ABE affects general category memory or perceptually specific exemplar memory. In an encoding phase, participants memorized images of objects presented in a continuous stream. At the same time, they pressed the space bar when a square appearing in the center of each image appeared in a target color, ignoring distractor-colored squares. The following four-alternative forced-choice memory test included the previously seen image, a perceptually distinct exemplar from the same category as the previously seen image, and two images from a new category. Regardless of whether images appeared during encoding three times (Experiment 1) or once (Experiment 2), participants recognized the correct exemplar more often during testing for images that had appeared with a target in encoding than for images that had appeared with a distractor. The difference in exemplar memory was not associated with a difference in false memories for within-category foils. This suggests that the ABE reflects modulation of perceptually detailed exemplar memory, which may be related to facilitation of pattern separation by detection-induced changes in cortical-hippocampal connectivity.

Indexed as

AttentionMemoryHumansAttentional boost effectDual-task processingExemplar and category memoryMemory pattern separation

Identifiers

PMID34287766
OpenAlexW3185304588

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.