Evidence map›Paper›PMID 31178323›Full record

ArticleCurrent biology : CB2019

Figure-Ground Modulation in the Human Lateral Geniculate Nucleus Is Distinguishable from Top-Down Attention.

Sonia Poltoratski, Alexander Maier, Allen T Newton, Frank Tong

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 42 citations in OpenAlex.

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  17. A source for awareness-dependent figure-ground segregation in human prefrontal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Role of Feedback Connections in Central Visual Processing.Annual review of vision science · 2020
    Review
  19. Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sonia PoltoratskiDepartment of Psychology, Vanderbilt University, Nashville, TN 37240, USA; Vanderbilt Vision Research Center, Vanderbilt University, Nashville, TN 37240, USA. Electronic address: sonia09@stanford.edu.
Alexander MaierDepartment of Psychology, Vanderbilt University, Nashville, TN 37240, USA; Vanderbilt Vision Research Center, Vanderbilt University, Nashville, TN 37240, USA.
Allen T NewtonDepartment of Radiology & Radiological Sciences, Vanderbilt University, Nashville, TN 37240, USA; Vanderbilt University Institute of Imaging Science, Nashville, TN 37240, USA.
Frank TongDepartment of Psychology, Vanderbilt University, Nashville, TN 37240, USA; Vanderbilt Vision Research Center, Vanderbilt University, Nashville, TN 37240, USA.
Vanderbilt University · US

Funding

Shop Module CoreP30EY008126 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Kevin L Schey · 1989 to 2026
$19.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Training in Vision ResearchT32EY007135 · NEI · VANDERBILT UNIVERSITY · PI GEOFFREY F WOODMAN · 1994 to 2026
$5.8M
Binocular integration in the primate lateral geniculate nucleusR01EY027402 · NEI · VANDERBILT UNIVERSITY · PI MAIER, ALEXANDER VINZENZ · 2017 to 2021
$1.9M
Perceptual functions of the human lateral geniculate nucleusR01EY029278 · NEI · VANDERBILT UNIVERSITY · PI TONG, FRANK · 2018 to 2021
$1.5M
NEI NIH HHS P30 EY008126NEI NIH HHS R01 EY027402NEI NIH HHS R01 EY029278NEI NIH HHS T32 EY007135NICHD NIH HHS U54 HD083211
6 · The paper itself

Abstract

Nearly all of the information that reaches the primary visual cortex (V1) of the brain passes from the retina through the lateral geniculate nucleus (LGN) of the thalamus. Although the LGN's role in relaying feedforward signals from the retina to the cortex is well understood [1, 2], the functional role of the extensive feedback it receives from the cortex has remained elusive [3-6]. Here, we investigated whether corticothalamic feedback may contribute to perceptual processing in the LGN in a manner that is distinct from top-down effects of attention [7-10]. We used high-resolution fMRI at 7 Tesla to simultaneously measure responses to orientation-defined figures in the human LGN and V1. We found robust enhancement of perceptual figures throughout the early visual system, which could be distinguished from the effects of covert spatial attention [11-13]. In a second experiment, we demonstrated that figure enhancement occurred in the LGN even when the figure and surrounding background were presented dichoptically (i.e., to different eyes). As binocular integration primarily occurs in V1 [14, 15], these results implicate a mechanism of automatic, contextually sensitive feedback from binocular visual cortex underlying figure-ground modulation in the LGN. Our findings elucidate the functional mechanisms of this core function of the visual system [16-18], which allows people to segment and detect meaningful figures in complex visual environments. The involvement of the LGN in this rich, contextually informed visual processing-despite showing minimal feedforward selectivity for visual features [19, 20]-underscores the role of recurrent processing at the earliest stages of visual processing.

Indexed as

AdultFemaleGeniculate BodiesHumansMagnetic Resonance ImagingMalePhotic StimulationVisual CortexVisual PathwaysYoung Adultfigure-ground modulationfMRIhuman visual systemLGNobject perceptionprimary visual cortexvisual attentionvisual thalamus

Identifiers

PMID31178323
PMCPMC6625759
OpenAlexW2951691821

What OpenQuestion holds

Textmetadata
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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.