Evidence map›Paper›PMID 40567455›Full record

ArticleNeuroimage. Reports2025

Fixel based analysis on diffusion MRI of COVID-19 survivors.

Sapna S Mishra, Tapan Kumar Gandhi, Bharat Biswal

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2025. 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

3 authors.

Sapna S MishraDepartment of Electrical Engineering, Indian Institute of Technology, Delhi, India.
Tapan Kumar GandhiDepartment of Electrical Engineering, Indian Institute of Technology, Delhi, India.
Bharat BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The underlying mechanisms of long-term sequelae of the COVID-19 infection, including fatigue, memory issues, and attention deficit, remain to be understood. Therefore, we investigated the Diffusion MRI scans of 73 COVID-Recovered Patients (CRPs) and 46 Healthy Controls (HCs) using Fixel-based analysis to study the sub-voxel microstructural properties of nervous tissue. We compared the Fiber Density (FD), log scaled Fiber Cross-section (log-FC), and a combined fiber density and cross-section measure (FDC) across the cohorts. Our study reveals significant alterations (pFWE <0.01) in the uncinate fasciculus (FD, log-FC, FDC; CRP > HC), perigenual corpus callosum (FD; CRP > HC), fornix (log-FC, FDC; CRP > HC), right arcuate fasciculus (FD; CRP < HC), as well as bilateral clusters in the inferior longitudinal fasciculus (FD; CRP < HC), and the corticospinal tract (FD; CRP < HC). We suggest that these changes may be related to microscopic changes in axonal volume. Notably, the tracts identified in this study highlight the involvement of the limbic system and the visuospatial attention network in the disorder. We expect our findings to improve our understanding of the neurological underpinnings of COVID-19.

Indexed as

COVID-19dMRIFiber cross-sectionFiber density

Identifiers

PMID40567455
PMCPMC12172880

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.