Evidence map›Paper›PMID 30759040›Full record

ArticleJournal of neurophysiology2019

Human frontoparietal cortex represents behaviorally relevant target status based on abstract object features.

Margaret Henderson, John T Serences

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2019. 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. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Scene context shapes category representational geometry during processing of tools.Cortex; a journal devoted to the study of the nervous system and behavior · 2021
    Article
  8. Perceptual Learning beyond Perception: Mnemonic Representation in Early Visual Cortex and Intraparietal Sulcus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  9. 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

2 authors.

Margaret HendersonNeurosciences Graduate Program, University of California, San Diego, La Jolla, California.ORCID 0000-0001-9375-6680
John T SerencesNeurosciences Graduate Program, University of California, San Diego, La Jolla, California.

Funding

Adaptive population codes for flexible visually-guided behaviorsR01EY025872 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI John T Serences · 2016 to 2026
$4.5M
Using fMRI to Measure the Neural-level Signals Underlying Population-level ResponsesRF1MH114277 · NIMH · UNIVERSITY OF MASSACHUSETTS AMHERST · PI COWELL, ROSEMARY ALICE, HUBER, DAVID ERNEST · 2017 to 2017
$2.4M
NEI NIH HHS R01 EY025872NIMH NIH HHS RF1 MH114277
6 · The paper itself

Abstract

Searching for items that are useful given current goals, or "target" recognition, requires observers to flexibly attend to certain object properties at the expense of others. This could involve focusing on the identity of an object while ignoring identity-preserving transformations such as changes in viewpoint or focusing on its current viewpoint while ignoring its identity. To effectively filter out variation due to the irrelevant dimension, performing either type of task is likely to require high-level, abstract search templates. Past work has found target recognition signals in areas of ventral visual cortex and in subregions of parietal and frontal cortex. However, target status in these tasks is typically associated with the identity of an object, rather than identity-orthogonal properties such as object viewpoint. In this study, we used a task that required subjects to identify novel object stimuli as targets according to either identity or viewpoint, each of which was not predictable from low-level properties such as shape. We performed functional MRI in human subjects of both sexes and measured the strength of target-match signals in areas of visual, parietal, and frontal cortex. Our multivariate analyses suggest that the multiple-demand (MD) network, including subregions of parietal and frontal cortex, encodes information about an object's status as a target in the relevant dimension only, across changes in the irrelevant dimension. Furthermore, there was more target-related information in MD regions on correct compared with incorrect trials, suggesting a strong link between MD target signals and behavior. NEW & NOTEWORTHY Real-world target detection tasks, such as searching for a car in a crowded parking lot, require both flexibility and abstraction. We investigated the neural basis of these abilities using a task that required invariant representations of either object identity or viewpoint. Multivariate decoding analyses of our whole brain functional MRI data reveal that invariant target representations are most pronounced in frontal and parietal regions, and the strength of these representations is associated with behavioral performance.

Indexed as

Pattern Recognition, VisualAdultFemaleFrontal LobeHumansMaleParietal LobeSpatial BehaviorSpatial MemoryVisual CortexfMRIfrontoparietalinvarianceobjecttarget recognition

Identifiers

PMID30759040
PMCPMC6485745

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.