Evidence map›Paper›PMID 36172034›Full record

ArticleFrontiers in neurology2022

Functional network alterations in young brain tumor patients with radiotherapy-induced memory impairments and vascular injury.

Melanie A Morrison, Sadie Walter, Sabine Mueller, Erin Felton, Angela Jakary, Schuyler Stoller, Annette M Molinaro, Steve E Braunstein, Christopher P Hess, Janine M Lupo

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

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors at 3 institutions in 1 country.

Melanie A MorrisonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Sadie WalterDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Sabine MuellerDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Erin FeltonDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Angela JakaryDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Schuyler StollerDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Annette M MolinaroDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Steve E BraunsteinDepartment of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States.
Christopher P HessDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Janine M LupoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USNeurological Surgery · USPacific Northwest University of Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive impairment and cerebral microbleeds (CMBs) are long-term side-effects of cranial radiation therapy (RT). Previously we showed that memory function is disrupted in young patients and that the rate of cognitive decline correlates with CMB development. However, vascular injury alone cannot explain RT-induced cognitive decline. Here we use resting-state functional MRI (rsfMRI) to further investigate the complex mechanisms underlying memory impairment after RT. Methods: Nineteen young patients previously treated with or without focal or whole-brain RT for a brain tumor underwent cognitive testing followed by 7T rsfMRI and susceptibility-weighted imaging for CMB detection. Global brain modularity and efficiency, and rsfMRI signal variability within the dorsal attention, salience, and frontoparietal networks were computed. We evaluated whether MR metrics could distinguish age- and sex-matched controls ( Results: Compared to controls, patients exhibited widespread hyperconnectivity, similar modularity, and significantly increased efficiency ( Conclusions: MR metrics describing brain connectivity and variability represent promising candidate imaging biomarkers for monitoring of long-term cognitive side-effects after RT.

Indexed as

7T MRIbrain connectivitybrain tumorsfMRImemoryradiation therapyvascular injury

Identifiers

PMID36172034
PMCPMC9511024
OpenAlexW4295233894

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.