Evidence map›Paper›PMID 26248581›Full record

ReviewNeuropsychology review2015

Functional Magnetic Resonance Imaging Methods.

Jingyuan E Chen, Gary H Glover

Erratum issuedAbstract readReview
In one paragraph

Review in Neuropsychology review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 82 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 8 pooled it
–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

82 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Trial
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  12. Article
  13. Human cerebral cortex organization characterized by functional PET-FDG "Metabolic Connectivity".European journal of nuclear medicine and molecular imaging · 2026
    Article
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  20. Observational

22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jingyuan E ChenDepartment of Radiology, Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA, cjy2010@stanford.edu.
Gary H Glover

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
NIBIB NIH HHS P41 EB015891
6 · The paper itself

Abstract

Since its inception in 1992, Functional Magnetic Resonance Imaging (fMRI) has become an indispensible tool for studying cognition in both the healthy and dysfunctional brain. FMRI monitors changes in the oxygenation of brain tissue resulting from altered metabolism consequent to a task-based evoked neural response or from spontaneous fluctuations in neural activity in the absence of conscious mentation (the "resting state"). Task-based studies have revealed neural correlates of a large number of important cognitive processes, while fMRI studies performed in the resting state have demonstrated brain-wide networks that result from brain regions with synchronized, apparently spontaneous activity. In this article, we review the methods used to acquire and analyze fMRI signals.

Indexed as

ArtifactsBrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSignal Processing, Computer-Assisted

Identifiers

PMID26248581
PMCPMC4565730

What OpenQuestion holds

Textmetadata
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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.