Evidence map›Paper›PMID 31226012›Full record

ReviewAnnual review of vision science2019

Scene Perception in the Human Brain.

Russell A Epstein, Chris I Baker

Abstract readReview
In one paragraph

Review in Annual review of vision science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 1 pooled it
–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

150 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Post-saccadic disruption of semantic category information in naturalistic scenes.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. The cortical scene processing network emerges in infancy, prior to independent navigation experience.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

90 more citing papers are in PubMed but not listed here.

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

2 authors.

Russell A EpsteinDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; email: epstein@psych.upenn.edu.
Chris I BakerSection on Learning and Plasticity, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, Maryland 20892, USA; email: bakerchris@mail.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
Neural Mechanisms of Landmark-based NavigationR01EY022350 · NEI · UNIVERSITY OF PENNSYLVANIA · PI RUSSELL A EPSTEIN · 2013 to 2026
$5.7M
Neuroimaging of dynamic navigational codesR21EY027047 · NEI · UNIVERSITY OF PENNSYLVANIA · PI EPSTEIN, RUSSELL A · 2016 to 2017
$403k
Intramural NIH HHS ZIA MH002909NEI NIH HHS R01 EY022350NEI NIH HHS R21 EY027047
6 · The paper itself

Abstract

Humans are remarkably adept at perceiving and understanding complex real-world scenes. Uncovering the neural basis of this ability is an important goal of vision science. Neuroimaging studies have identified three cortical regions that respond selectively to scenes: parahippocampal place area, retrosplenial complex/medial place area, and occipital place area. Here, we review what is known about the visual and functional properties of these brain areas. Scene-selective regions exhibit retinotopic properties and sensitivity to low-level visual features that are characteristic of scenes. They also mediate higher-level representations of layout, objects, and surface properties that allow individual scenes to be recognized and their spatial structure ascertained. Challenges for the future include developing computational models of information processing in scene regions, investigating how these regions support scene perception under ecologically realistic conditions, and understanding how they operate in the context of larger brain networks.

Indexed as

AnimalsBrainBrain MappingHumansMagnetic Resonance ImagingOccipital LobeParahippocampal GyrusSpatial NavigationVisual CortexVisual Perceptionfunctional magnetic resonance imaginghippocampusneural networksspatial navigationvisual cortexvisual recognition

Identifiers

PMID31226012
PMCPMC6989029

What OpenQuestion holds

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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.