Evidence map›Paper›PMID 32094202›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020

Ultra-high-resolution fMRI of Human Ventral Temporal Cortex Reveals Differential Representation of Categories and Domains.

Eshed Margalit, Keith W Jamison, Kevin S Weiner, Luca Vizioli, Ru-Yuan Zhang, Kendrick N Kay, Kalanit Grill-Spector

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. 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
–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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Individual differences shape conceptual representation in the brain.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. High-resolution awake mouse fMRI at 14 Tesla.bioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Network Communications Flexibly Predict Visual Contents That Enhance Representations for Faster Visual Categorization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  15. A Unifying Principle for the Functional Organization of Visual Cortex.bioRxiv : the preprint server for biology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

7 authors.

Eshed MargalitNeurosciences Graduate Program, Stanford University, Stanford, California 94305, eshed.margalit@gmail.com.ORCID 0000-0003-0841-7444
Keith W JamisonCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota 55455.
Kevin S WeinerDepartment of Psychology, University of California Berkeley, Berkeley, California 94720.ORCID 0000-0002-8734-5049
Luca VizioliCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota 55455.
Ru-Yuan ZhangCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota 55455.ORCID 0000-0002-0654-715X
Kendrick N KayCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota 55455.ORCID 0000-0001-6604-9155
Kalanit Grill-SpectorNeurosciences Graduate Program, Stanford University, Stanford, California 94305.ORCID 0000-0002-5404-9606

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
Visual TestingP30EY011374 · NEI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI NEWMAN, ERIC A · 1996 to 2019
$8.8M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Functional-neuroanatomy of high-level visual cortex: a quantitative multimodal approachR01EY023915 · NEI · STANFORD UNIVERSITY · PI Kalanit Grill-Spector · 2014 to 2026
$4.6M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
High Performance Connectome Upgrade for Human 3T MR ScannerS10OD017974 · OD · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2014 to 2014
$600k
MULTICHANNEL TRANSMIT FRONTEND FOR 7 TESLAS10RR026783 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2009 to 2009
$500k
NCRR NIH HHS S10 RR026783NEI NIH HHS P30 EY011374NEI NIH HHS R01 EY023915NIBIB NIH HHS P41 EB015894NIBIB NIH HHS P41 EB027061NIH HHS S10 OD017974NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Human ventral temporal cortex (VTC) is critical for visual recognition. It is thought that this ability is supported by large-scale patterns of activity across VTC that contain information about visual categories. However, it is unknown how category representations in VTC are organized at the submillimeter scale and across cortical depths. To fill this gap in knowledge, we measured BOLD responses in medial and lateral VTC to images spanning 10 categories from five domains (written characters, bodies, faces, places, and objects) at an ultra-high spatial resolution of 0.8 mm using 7 Tesla fMRI in both male and female participants. Representations in lateral VTC were organized most strongly at the general level of domains (e.g., places), whereas medial VTC was also organized at the level of specific categories (e.g., corridors and houses within the domain of places). In both lateral and medial VTC, domain-level and category-level structure decreased with cortical depth, and downsampling our data to standard resolution (2.4 mm) did not reverse differences in representations between lateral and medial VTC. The functional diversity of representations across VTC partitions may allow downstream regions to read out information in a flexible manner according to task demands. These results bridge an important gap between electrophysiological recordings in single neurons at the micron scale in nonhuman primates and standard-resolution fMRI in humans by elucidating distributed responses at the submillimeter scale with ultra-high-resolution fMRI in humans.

Indexed as

AdultBrain MappingComputer SimulationElectrophysiological PhenomenaFacial RecognitionFemaleHumansImage Processing, Computer-AssistedLinear ModelsMagnetic Resonance ImagingMalePhotic StimulationPsychomotor PerformanceReadingRecognition, PsychologyTemporal Lobecortical depthhigh-level visual cortexventral temporal cortexvisual categoriesvisual representations

Identifiers

PMID32094202
PMCPMC7141875

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.