Evidence map›Paper›PMID 42487681›Full record

ArticleNeuroscience insights2026

Neurocognitive Mechanism of Perceptual Errors in Radiologists: Results of Pilot Studies.

Michael A Bruno, Elizabeth A Krupinski, Scott C Bunce, Grayson L Baird, Caitlin Mills, Prasanna R Karunanayaka, Howard Egeth, Ryan Chang, Ross Cottrill, Samuel Jump and 2 more

Abstract read
In one paragraph

Article in Neuroscience insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

12 authors.

Michael A BrunoDepartment of Radiology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA.ORCID https://orcid.org/0000-0003-0470-9706
Elizabeth A KrupinskiDepartment of Radiology, Emory University School of Medicine, Atlanta, GA, USA.
Scott C BunceDepartment of Radiology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA.
Grayson L BairdDepartment of Radiology, Rhode Island Hospital, Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0002-5926-9886
Caitlin MillsDepartment of Educational Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Prasanna R KarunanayakaDepartment of Radiology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA.
Howard EgethDepartment of Psychological & Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
Ryan ChangMallincrodt Institute of Radiology, Washington University, St. Louis, MO, USA.
Ross CottrillDepartment of Radiology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA.
Samuel JumpDept. of Pediatrics, Duke University Medical Center, Durham, NC, USA.
Krishnankutty SathianNeuroscience Institute, Penn State College of Medicine, Hershey, PA, USA.
Timothy J MosherDepartment of Radiology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The most prevalent type of radiologist error is failing to detect abnormalities on images, the so-called "perceptual error." The prevalence of this type of false-negative (FN) error remains essentially unchanged since it was first described in 1949. Reducing this error rate would be highly beneficial for patients who often depend on radiological observations for a timely diagnosis. Purpose: To identify a potential neurocognitive mechanism contributing to radiologists' perceptual errors, in order to inform intervention strategies to reduce such errors in practice. These experiments evaluated the relationship between brain network activation states and radiologists' perceptual errors on two distinct visual tasks utilizing functional MRI (fMRI) and functional Near Infrared Spectroscopy (fNIRS). Materials and Methods: A prospective, pilot study was carried out on a small number of radiologist participants utilizing two distinct types of visual tasks while monitoring activity in two targeted brain networks, the default mode network (DMN) and the "executive" frontoparietal network (FPN), to test the hypothesis that simultaneous co-activation of these networks produces an error-prone neurocognitive state (EPS). A third experiment using fNIRS alone was an observational study of subjects' neurocognitive states during their usual practice to determine the baseline prevalence of the EPS in the clinical setting. Results: An approximately threefold increased risk of FN perceptual errors (misses) on the visual tasks was observed in the presence of simultaneous co-activation of elements of the Default Mode Network (DMN) and Frontoparietal Network (FPN), which supports the "error-prone state" (EPS) hypothesis. EPS prevalence declined with participant age. Conclusion: Our results suggest that dynamic interactions between the Default Mode Network (DMN) and Frontoparietal Network (FPN) create a unique error-prone state (EPS), associated with an approximately threefold increased risk of perceptual error in radiologists. These results suggest potential intervention strategies for perceptual error, the largest class of radiologist errors in practice.

Indexed as

default mode networkfunctional connectivitynetwork neuroscienceperceptual errorradiologist performance

Identifiers

PMID42487681
PMCPMC13389148

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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.