Evidence map›Paper›PMID 37369744›Full record

ArticleScientific reports2023

The dynamic functional connectivity fingerprint of high-grade gliomas.

Manuela Moretto, Erica Silvestri, Silvia Facchini, Mariagiulia Anglani, Diego Cecchin, Maurizio Corbetta, Alessandra Bertoldo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors at 2 institutions in 1 country.

Manuela MorettoPadova Neuroscience Center, University of Padova, 35131, Padova, Italy.
Erica SilvestriPadova Neuroscience Center, University of Padova, 35131, Padova, Italy.
Silvia FacchiniPadova Neuroscience Center, University of Padova, 35131, Padova, Italy.
Mariagiulia AnglaniNeuroradiology Unit, University of Padova, 35121, Padova, Italy.
Diego CecchinPadova Neuroscience Center, University of Padova, 35131, Padova, Italy.
Maurizio CorbettaPadova Neuroscience Center, University of Padova, 35131, Padova, Italy.
Alessandra BertoldoPadova Neuroscience Center, University of Padova, 35131, Padova, Italy. alessandra.bertoldo@unipd.it.
University of Padua · ITVeneto Institute of Molecular Medicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting state fMRI has been used in many studies to investigate the impact of brain tumours on functional connectivity (FC). However, these studies have so far assumed that FC is stationary, disregarding the fact that the brain fluctuates over dynamic states. Here we utilised resting state fMRI data from 33 patients with high-grade gliomas and 33 healthy controls to examine the dynamic interplay between resting-state networks and to gain insights into the impact of brain tumours on functional dynamics. By employing Hidden Markov Models, we demonstrated that functional dynamics persist even in the presence of a high-grade glioma, and that patients exhibited a global decrease of connections strength, as well as of network segregation. Furthermore, through a multivariate analysis, we demonstrated that patients' cognitive scores are highly predictive of pathological dynamics, thus supporting our hypothesis that functional dynamics could serve as valuable biomarkers for better understanding the traits of high-grade gliomas.

Indexed as

Brain NeoplasmsGliomaBrainBrain MappingHumansMagnetic Resonance ImagingNeural Pathways

Identifiers

PMID37369744
PMCPMC10300022
OpenAlexW4382317974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.