Evidence map›Paper›PMID 28985928›Full record

ReviewNeuroimaging clinics of North America2017

Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data.

Jingyuan E Chen, Mikail Rubinov, Catie Chang

Abstract readReview
In one paragraph

Review in Neuroimaging clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

3 authors.

Jingyuan E ChenDepartment of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, 1201 Welch Road, Stanford, CA 94305, USA.
Mikail RubinovJanelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA.
Catie ChangAdvanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA. Electronic address: catie.chang@nih.gov.

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

Functional MR imaging (fMR imaging) studies have recently begun to examine spontaneous changes in interregional interactions (functional connectivity) over seconds to minutes, and their relation to natural shifts in cognitive and physiologic states. This practice opens the potential for uncovering structured, transient configurations of coordinated brain activity whose features may provide novel cognitive and clinical biomarkers. However, analysis of these time-varying phenomena requires careful differentiation between neural and nonneural contributions to the fMR imaging signal and thorough validation and statistical testing. In this article, the authors present an overview of methodological and interpretational considerations in this emerging field.

Indexed as

BrainBrain MappingHumansMagnetic Resonance ImagingNeural PathwaysRestDynamicsFunctional connectivityFunctional magnetic resonance imagingNetworksResting state

Identifiers

PMID28985928
PMCPMC5679015

What OpenQuestion holds

Textmetadata
LicenceTDM
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.