Evidence map›Paper›PMID 36639892›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023

Disentangling Object Category Representations Driven by Dynamic and Static Visual Input.

Sophia Robert, Leslie G Ungerleider, Maryam Vaziri-Pashkam

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Objects from Motion: Moving beyond Static Images with Object Kinematograms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  9. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sophia RobertLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, Maryland 20892 srobert@andrew.cmu.edu maryam.vaziri-pashkam@nih.gov.
Leslie G UngerleiderLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, Maryland 20892.ORCID 0000-0003-3881-5224
Maryam Vaziri-PashkamLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, Maryland 20892 srobert@andrew.cmu.edu maryam.vaziri-pashkam@nih.gov.

Funding

Object, face, body and scene representations in the human brainZIAMH002909 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BAKER, CHRIS · 2009 to 2025
$25.5M
Object, face and body representations in the human brainZ01MH002909 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BAKER, CHRISTOPHER · 2008 to 2008
$1.1M
Intramural NIH HHS Z01 MH002909Intramural NIH HHS ZIA MH002909
6 · The paper itself

Abstract

Humans can label and categorize objects in a visual scene with high accuracy and speed, a capacity well characterized with studies using static images. However, motion is another cue that could be used by the visual system to classify objects. To determine how motion-defined object category information is processed by the brain in the absence of luminance-defined form information, we created a novel stimulus set of "object kinematograms" to isolate motion-defined signals from other sources of visual information. Object kinematograms were generated by extracting motion information from videos of 6 object categories and applying the motion to limited-lifetime random dot patterns. Using functional magnetic resonance imaging (fMRI) (

Indexed as

Pattern Recognition, VisualVisual CortexBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationVisual Perceptionbiological motiondynamicmotion-defined shapeobject categoryobject informationstatic

Identifiers

PMID36639892
PMCPMC9888510

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.