Evidence map›Paper›PMID 39314379›Full record

ArticlebioRxiv : the preprint server for biology2025

Dynamic estimation of the attentional field from visual cortical activity.

Ilona M Bloem, Leah Bakst, Joseph T McGuire, Sam Ling

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ilona M BloemDepartment of Psychological & Brain Sciences, Boston University, Boston, USA.ORCID 0000-0002-7926-6500
Leah BakstDepartment of Psychological & Brain Sciences, Boston University, Boston, USA.ORCID 0000-0003-2741-5532
Joseph T McGuireDepartment of Psychological & Brain Sciences, Boston University, Boston, USA.ORCID 0000-0001-6259-0809
Sam LingDepartment of Psychological & Brain Sciences, Boston University, Boston, USA.ORCID 0000-0002-6735-2508

Funding

How Does Normalization Regulate Visual Competition?R01EY028163 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SAM LING · 2017 to 2026
$3.7M
Representational dynamics for flexible learning in complex environmentsR01MH126971 · NIMH · BROWN UNIVERSITY · PI Matthew Nassar · 2022 to 2026
$3.0M
Investigating the Effect of Arousal on Visual ProcessingR01EY035640 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Janneke Jehee, SAM LING · 2024 to 2026
$1.0M
Eye Movements and the Dynamics of Adaptive LearningF32EY029134 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BAKST, LEAH · 2019 to 2021
$200k
NEI NIH HHS F32 EY029134NEI NIH HHS R01 EY028163NEI NIH HHS R01 EY035640NIMH NIH HHS R01 MH126971
6 · The paper itself

Abstract

Navigating around the world, we must adaptively allocate attention to our surroundings based on anticipated future stimuli and events. This allocation of spatial attention boosts visuocortical representations at attended locations and locally enhances perception. Indeed, spatial attention has often been analogized to a "spotlight" shining on the item of relevance. Although the neural underpinnings of the locus of this attentional spotlight have been relatively well studied, less is known about the size of the spotlight: to what extent can the attentional field be broadened and narrowed in accordance with behavioral demands? In this study, we developed a paradigm for dynamically estimating the locus and spread of covert spatial attention, inferred from visuocortical activity using fMRI in humans. We measured BOLD activity in response to an annulus while participants (4 female, 4 male) used covert visual attention to determine whether more numbers or letters were present in a cued region of the annulus. Importantly, the width of the cued area was systematically varied, calling for different sizes of the attentional spotlight. The deployment of attention was associated with an increase in BOLD activity in corresponding retinotopic regions of visual areas V1-V3. By modeling the visuocortical attentional modulation, we could reliably recover the cued location, as well as a broadening of the attentional modulation with wider attentional cues. This modeling approach offers a useful window into the dynamics of attention and spatial uncertainty.

Identifiers

PMID39314379
PMCPMC11418946

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LicenceCC BY-NC-ND
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Registered trials

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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.