Evidence map›Paper›PMID 40276574›Full record

ArticleFrontiers in neuroscience2025

Functional connectivity of default mode network in non-hospitalized patients with post-COVID cognitive complaints.

Derek Madden, Tressie M Stephens, Jim Scott, Christen O'Neal Swann, Kiana Prather, Jordan Hoffmeister, Lei Ding, Ian F Dunn, Andrew K Conner, Han Yuan

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Derek MaddenStephenson School of Biomedical Engineering, Gallogly College of Engineering, The University of Oklahoma, Norman, OK, United States.
Tressie M StephensDepartment of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Jim ScottDepartment of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Christen O'Neal SwannDepartment of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Kiana PratherDepartment of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Jordan HoffmeisterDepartment of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Lei DingStephenson School of Biomedical Engineering, Gallogly College of Engineering, The University of Oklahoma, Norman, OK, United States.
Ian F DunnDepartment of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Andrew K ConnerDepartment of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Han YuanStephenson School of Biomedical Engineering, Gallogly College of Engineering, The University of Oklahoma, Norman, OK, United States.

Funding

Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian CancerP20GM135009 · NIGMS · UNIVERSITY OF OKLAHOMA · PI Javier Antonio Jo · 2022 to 2026
$13.6M
NIGMS NIH HHS P20 GM135009
6 · The paper itself

Abstract

Introduction: Neurologic impairment is common in patients with acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. While patients with severe COVID have a higher prevalence of neurologic symptoms, as many as one in five patients with mild COVID may also be affected, exhibiting impaired memory as well as other cognitive dysfunctions. Methods: To characterize the effect of COVID on the brain, the current study recruited a group of adults with post-COVID cognitive complaints but with mild, non-hospitalized cases. They were then evaluated through formal neuropsychological testing and underwent functional MRI of the brain. The participants in our study performed nearly as expected for cognitively intact individuals. Additionally, we characterized the functional connectivity of the default mode network (DMN), which is known for cognitive functions including memory as well as the attention functions involved in normal aging and degenerative diseases. Results: Along with the retention of functional connectivity in the DMN, our results found the DMN to be associated with neurocognitive performance through region-of-interest and whole-brain analyses. The connectivity between key nodes of the DMN was positively correlated with cognitive scores ( Discussion: Our findings provide neuroimaging evidence of the functional connectivity of brain networks among individuals experiencing cognitive deficits beyond the recovery of mild COVID. These imaging outcomes indicate expected functional trends in the brain, furthering understanding and guidance of the DMN and neurocognitive deficits in patients recovering from COVID.

Indexed as

cognitive impairmentCOVID-19default mode networkfunctional magnetic resonance imagingposterior cingulate cortexresting state functional connectivity

Identifiers

PMID40276574
PMCPMC12018477

What OpenQuestion holds

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Registered trials

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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.