Evidence map›Paper›PMID 39260271›Full record

ArticlePhysics of life reviews2024

Why graph theory deserves more focus. Comment on "Connectivity analyses for task-based fMRI" by Huang et al.

Mohammadreza Khodaei, Clayton C McIntyre, Haley A Kirse, Paul Laurienti

Abstract readComment
PubMed Publisher
In one paragraph

Article in Physics of life reviews, 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
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mohammadreza KhodaeiVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, United States. Electronic address: mkhodaei@wakehealth.edu.
Clayton C McIntyreNeuroscience Graduate Program, Wake Forest University Graduate School of Arts and Sciences, United States.
Haley A KirseIntegrative Physiology and Pharmacology Graduate Program, Wake Forest University Graduate School of Arts and Sciences, United States.
Paul LaurientiVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, United States; Neuroscience Graduate Program, Wake Forest University Graduate School of Arts and Sciences, United States; Department of Radiology, Wake Forest University School of Medicine, United States. Electronic address: plaurien@wakehealth.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Huang et al. have conducted a thorough examination of methodologies used for identifying and analyzing functional connectivity using task-based fMRI. Their review adeptly describes current approaches without bias or preference. In this commentary, we explain why we believe that graph theory is the optimal approach for studying neural mechanisms associated with complex behaviors and cognitive processes that are engaged during task-based fMRI.

Indexed as

Magnetic Resonance ImagingBrainBrain MappingCognitionHumansNerve Net

Identifiers

PMID39260271

What Socratic holds

Textmetadata
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.