Evidence map›Paper›PMID 38292021›Full record

ArticleFrontiers in network physiology2024

No change in network connectivity measurements between separate rsfMRI acquisition times.

Elliot G Neal, Samantha Schimmel, Zeegan George, Molly Monsour, Adam Alayli, Gavin Lockard, Keaton Piper, Stephanie Maciver, Fernando L Vale, Yarema B Bezchlibnyk

Open access · goldAbstract read
In one paragraph

Article in Frontiers in network physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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.

Elliot G NealDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Samantha SchimmelDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Zeegan GeorgeDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Molly MonsourDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Adam AlayliDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Gavin LockardDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Keaton PiperDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Stephanie MaciverDepartment of Neurology, Advent Health Tampa, Tampa, FL, United States.
Fernando L ValeDepartment of Neurosurgery, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Yarema B BezchlibnykDepartment of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
University of South Florida · USAdventHealth Tampa · USAugusta University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of resting state functional MRI (rsfMRI) is increasing in the field of epilepsy surgery because it is possible to interpolate network connectivity patterns across the brain with a high degree of spatial resolution. Prior studies have shown that by rsfMRI with scalp electroencephalography (EEG), an epileptogenic network can be modeled and visualized with characteristic patterns of connectivity that are relevant to both seizure-related and neuropsychological outcomes after surgery. The aim of this study is to show that a 5-min acquisition time provides reproducible results related to the relevant connectivity metrics when compared to a separately acquired 5-min scan. Fourteen separate rsfMRI sessions from ten different patients were used for comparison, comprised of patients with temporal lobe epilepsy both pre- and post-operation. Results showed that there was no significant difference in any of the connectivity metrics when comparing both 5-min scans to each other. These data support the continued use of a 5-min scan for epileptogenic network modeling in future studies because the inter-scan variability is sufficiently low as not to alter the output metrics characterizing the network connectivity.

Indexed as

epilepsyfunctional MRInetworkneurosurgeryresting state

Identifiers

PMID38292021
PMCPMC10823025
OpenAlexW4390884582

What Socratic 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 Socratic graph.