Evidence map›Paper›PMID 39640511›Full record

ArticleFrontiers in behavioral neuroscience2024

Dissociation between area TE and rhinal cortex in accuracy vs. speed of visual categorization in rhesus monkeys.

Bing Li, Kaleb Lowe, Samarth Chandra, Gang Chen, Mark A G Eldridge, Barry J Richmond

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Bing LiLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Kaleb LoweLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Samarth ChandraLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Gang ChenScientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Mark A G EldridgeLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Barry J RichmondLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.

Funding

Neural Coding Of Visual StimuliZIAMH002032 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RICHMOND, BARRY J · 2009 to 2025
$20.5M
Intramural NIH HHS ZIA MH002032
6 · The paper itself

Abstract

In real-world vision, objects may appear for a short period, such as in conjunction with visual search. Presumably, this puts a premium on rapid categorization. We designed a visual categorization task cued by briefly presented images to study how visual categorization is processed in an ethologically relevant context. We compared the performance of monkeys with bilateral area TE lesions, and those with bilateral rhinal cortex lesions, to control animals. TE lesions impaired the accuracy but not the speed of visual categorization. In contrast, rhinal cortex lesions did not affect the accuracy but reduced the speed of visual categorization. A generalized drift-diffusion model (GDDM) with collapsing bounds was fitted to the data. The drift rate was equivalent across all groups, but the decision bounds collapsed more slowly in the rhinal group than in the other two groups. This suggests that, although evidence is accumulated at the same rate in all groups, the rhinal lesion results in slower decision-making.

Indexed as

area TEdecision-makingrhesus monkeyrhinal cortexvisual categorization

Identifiers

PMID39640511
PMCPMC11617191

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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.