Evidence map›Paper›PMID 39664747›Full record

SynthesisFrontiers in neurology2024

Drivers of resting-state fMRI heterogeneity in traumatic brain injury across injury characteristics and imaging methods: a systematic review and semiquantitative analysis.

Alexander W Kashou, Daniel M Frees, Kaylee Kang, Christian O Parks, Hunter Harralson, Jesse T Fischer, Philip E Rosenbaum, Michael Baham, Christopher Sheridan, Kevin C Bickart

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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.

Alexander W KashouDepartment of Radiology, Loma Linda University School of Medicine, Loma Linda, CA, United States.
Daniel M FreesUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Kaylee KangUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Christian O ParksUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Hunter HarralsonUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Jesse T FischerUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Philip E RosenbaumUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Michael BahamUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Christopher SheridanUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Kevin C BickartUCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) is common and costly. Although neuroimaging modalities such as resting-state functional MRI (rsfMRI) promise to differentiate injured from healthy brains and prognosticate long-term outcomes, the field suffers from heterogeneous findings. To assess whether this heterogeneity stems from variability in the TBI populations studied or the imaging methods used, and to determine whether a consensus exists in this literature, we performed the first systematic review of studies comparing rsfMRI functional connectivity (FC) in patients with TBI to matched controls for seven canonical brain networks across injury severity, age, chronicity, population type, and various imaging methods. Searching PubMed, Web of Science, Google Scholar, and ScienceDirect, 1,105 manuscripts were identified, 50 fulfilling our criteria. Across these manuscripts, 179 comparisons were reported between a total of 1,397 patients with TBI and 1,179 matched controls. Collapsing across injury characteristics, imaging methods, and networks, there were roughly equal significant to null findings and increased to decreased connectivity differences reported. Whereas most factors did not explain these mixed findings, stratifying across severity and chronicity, separately, showed a trend of increased connectivity at higher severities and greater chronicities of TBI. Among methodological factors, studies were more likely to find connectivity differences when scans were longer than 360 s, custom image processing pipelines were used, and when patients kept their eyes open versus closed during scans. We offer guidelines to address this variability, focusing on aspects of study design and rsfMRI acquisition to move the field toward reproducible results with greater potential for clinical translation.

Indexed as

functional connectivityneuroimagingresting-state functional MRIrsfMRIsystematic literature review (SLR)TBI—traumatic brain injurytraumatic brain injury

Identifiers

PMID39664747
PMCPMC11631856

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.