Evidence map›Paper›PMID 33869679›Full record

ArticleNeurobiology of stress2021

Alterations of frontal-temporal gray matter volume associate with clinical measures of older adults with COVID-19.

Kuaikuai Duan, Enrico Premi, Andrea Pilotto, Viviana Cristillo, Alberto Benussi, Ilenia Libri, Marcello Giunta, H Jeremy Bockholt, Jingyu Liu, Riccardo Campora and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of stress, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 2% of its field
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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Altered brain function and structure pre- and post- COVID-19 infection: a longitudinal study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

15 authors at 3 institutions in 2 countries.

Kuaikuai DuanDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.
Enrico PremiStroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy.
Andrea PilottoNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Viviana CristilloNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Alberto BenussiNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Ilenia LibriNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Marcello GiuntaNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
H Jeremy BockholtTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, USA.
Jingyu LiuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, USA.
Riccardo CamporaNeuroradiology Unit, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia and ASST Spedali Civili Hospital, Brescia, Italy.
Alessandro PezziniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Roberto GasparottiNeuroradiology Unit, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia and ASST Spedali Civili Hospital, Brescia, Italy.
Mauro MagoniStroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy.
Alessandro PadovaniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Vince D CalhounDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.
University of Brescia · ITGeorgia Institute of Technology · USAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · IT

Funding

Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disordersRF1AG063153 · NIA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2020
$3.5M
NIA NIH HHS RF1 AG063153
6 · The paper itself

Abstract

COVID-19, the infectious disease caused by the most recently discovered severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has become a global pandemic. It dramatically affects people's health and daily life. Neurological complications are increasingly documented for patients with COVID-19. However, the effect of COVID-19 on the brain is less studied, and existing quantitative neuroimaging analyses of COVID-19 were mainly based on the univariate voxel-based morphometry analysis (VBM) that requires corrections for a large number of tests for statistical significance, multivariate approaches that can reduce the number of tests to be corrected have not been applied to study COVID-19 effect on the brain yet. In this study, we leveraged source-based morphometry (SBM) analysis, a multivariate extension of VBM, to identify changes derived from computed tomography scans in covarying gray matter volume patterns underlying COVID-19 in 120 neurological patients (including 58 cases with COVID-19 and 62 patients without COVID-19 matched for age, gender and diseases). SBM identified that lower gray matter volume (GMV) in superior/medial/middle frontal gyri was significantly associated with a higher level of disability (modified Rankin Scale) at both discharge and six months follow-up phases even when controlling for cerebrovascular diseases. GMV in superior/medial/middle frontal gyri was also significantly reduced in patients receiving oxygen therapy compared to patients not receiving oxygen therapy. Patients with fever presented significant GMV reduction in inferior/middle temporal gyri and fusiform gyrus compared to patients without fever. Patients with agitation showed GMV reduction in superior/medial/middle frontal gyri compared to patients without agitation. Patients with COVID-19 showed no significant GMV differences from patients without COVID-19 in any brain region. Results suggest that COVID-19 may affect the frontal-temporal network in a secondary manner through fever or lack of oxygen.

Indexed as

Computed tomographyCOVID-19Frontal-temporal networkGray matter volumeSource-based morphometry

Identifiers

PMID33869679
PMCPMC8041745
OpenAlexW3153952524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.