Evidence map›Paper›PMID 29739867›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Flexible Coding of Visual Working Memory Representations during Distraction.

Elizabeth S Lorenc, Kartik K Sreenivasan, Derek E Nee, Annelinde R E Vandenbroucke, Mark D'Esposito

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 166 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Evidence for Abstract Codes in Parietal Cortex Guiding Prospective Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Sensory reformatting for a working visual memory.Trends in cognitive sciences · 2025
    Review
  10. Article
  11. Article
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  16. Neural Dynamics of Reselecting Visual and Motor Contents in Working Memory after External Interference.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  17. Article
  18. Article
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8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Elizabeth S LorencHelen Wills Neuroscience Institute, University of California (UC), Berkeley, California 94720-3370, elizabeth.lorenc@berkeley.edu.ORCID 0000-0003-1311-726X
Kartik K SreenivasanDivision of Science and Mathematics, New York University Abu Dhabi, New York 10011.
Derek E NeeHelen Wills Neuroscience Institute, University of California (UC), Berkeley, California 94720-3370.ORCID 0000-0001-7858-6871
Annelinde R E VandenbrouckeHelen Wills Neuroscience Institute, University of California (UC), Berkeley, California 94720-3370.
Mark D'EspositoHelen Wills Neuroscience Institute, University of California (UC), Berkeley, California 94720-3370.ORCID 0000-0002-3462-006X
University of California, Berkeley · USFlorida State University · USNew York University Abu Dhabi · AERadboud University Nijmegen · NL

Funding

Working Memory and Prefrontal CortexR01MH063901 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI D'ESPOSITO, MARK · 2001 to 2022
$7.6M
The neural mechanisms of precision in visual working memoryF31MH107157 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LORENC, ELIZABETH · 2015 to 2017
$103k
NIMH NIH HHS F31 MH107157NIMH NIH HHS R01 MH063901
6 · The paper itself

Abstract

Visual working memory (VWM) recruits a broad network of brain regions, including prefrontal, parietal, and visual cortices. Recent evidence supports a "sensory recruitment" model of VWM, whereby precise visual details are maintained in the same stimulus-selective regions responsible for perception. A key question in evaluating the sensory recruitment model is how VWM representations persist through distracting visual input, given that the early visual areas that putatively represent VWM content are susceptible to interference from visual stimulation.To address this question, we used a functional magnetic resonance imaging inverted encoding model approach to quantitatively assess the effect of distractors on VWM representations in early visual cortex and the intraparietal sulcus (IPS), another region previously implicated in the storage of VWM information. This approach allowed us to reconstruct VWM representations for orientation, both before and after visual interference, and to examine whether oriented distractors systematically biased these representations. In our human participants (both male and female), we found that orientation information was maintained simultaneously in early visual areas and IPS in anticipation of possible distraction, and these representations persisted in the absence of distraction. Importantly, early visual representations were susceptible to interference; VWM orientations reconstructed from visual cortex were significantly biased toward distractors, corresponding to a small attractive bias in behavior. In contrast, IPS representations did not show such a bias. These results provide quantitative insight into the effect of interference on VWM representations, and they suggest a dynamic tradeoff between visual and parietal regions that allows flexible adaptation to task demands in service of VWM.

Indexed as

AdolescentAdultAttentionBrainFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermPhotic StimulationVisual PerceptionYoung Adultdistractionsensory recruitmentvisual working memory

Identifiers

PMID29739867
PMCPMC5990978
OpenAlexW2801094235

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.