Evidence map›Paper›PMID 35927036›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Common Neural Mechanisms Control Attention and Working Memory.

Ying Zhou, Clayton E Curtis, Kartik K Sreenivasan, Daryl Fougnie

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.3field-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

22 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  7. Prioritizing Working Memory Resources Depends on the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  8. Article
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  11. Neural dynamics of shifting attention between perception and working-memory contents.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

4 authors at 2 institutions in 2 countries.

Ying ZhouProgram in Psychology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates 129188.
Clayton E CurtisDepartment of Psychology, New York University, New York, New York 10003.
Kartik K SreenivasanProgram in Psychology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates 129188 darylfougnie@nyu.edu kartik.sreenivasan@nyu.edu.
Daryl FougnieProgram in Psychology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates 129188 darylfougnie@nyu.edu kartik.sreenivasan@nyu.edu.
New York University · USNew York University Abu Dhabi · AE

Funding

Putting Priority Map Theory to the TestR01EY016407 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E · 2006 to 2023
$5.8M
Deep sampling of cognitive effects in the human visual systemR01EY034118 · NEI · UNIVERSITY OF MINNESOTA · PI CLAYTON E CURTIS, Kendrick Norris Kay · 2023 to 2026
$1.9M
The Nature of Working Memory RepresentationsR01EY033925 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E · 2022 to 2025
$1.5M
Neural decoding of working memoryR01EY027925 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E, MA, WEI JI · 2017 to 2020
$1.3M
NEI NIH HHS R01 EY016407NEI NIH HHS R01 EY027925NEI NIH HHS R01 EY033925NEI NIH HHS R01 EY034118
6 · The paper itself

Abstract

Although previous studies point to qualitative similarities between working memory (WM) and attention, the degree to which these two constructs rely on shared neural mechanisms remains unknown. Focusing on one such potentially shared mechanism, we tested the hypothesis that selecting an item within WM utilizes similar neural mechanisms as selecting a visible item via a shift of attention. We used fMRI and machine learning to decode both the selection among items visually available and the selection among items stored in WM in human subjects (both sexes). Patterns of activity in visual, parietal, and to a lesser extent frontal cortex predicted the locations of the selected items. Critically, these patterns were strikingly interchangeable; classifiers trained on data during attentional selection predicted selection from WM, and classifiers trained on data during selection from memory predicted attentional selection. Using models of voxel receptive fields, we visualized topographic population activity that revealed gain enhancements at the locations of the externally and internally selected items. Our results suggest that selecting among perceived items and selecting among items in WM share a common mechanism. This common mechanism, analogous to a shift of spatial attention, controls the relative gains of neural populations that encode behaviorally relevant information.

Indexed as

Memory, Short-TermVisual PerceptionFemaleHumansMagnetic Resonance ImagingMaleattentiondecodingfMRIselectionworking memory

Identifiers

PMID35927036
PMCPMC9480871
OpenAlexW4289852844

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.