Evidence map›Paper›PMID 26661226›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2016

Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI.

Weiying Dai, Gopal Varma, Rachel Scheidegger, David C Alsop

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 55 citations in OpenAlex.

  1. Global fluctuations of cerebral blood flow indicate a global brain network independent of systemic factors.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Weiying DaiDepartment of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA wdai@bidmc.harvard.edu.
Gopal VarmaDepartment of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Rachel ScheideggerDepartment of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
David C AlsopDepartment of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Beth Israel Deaconess Medical Center · US

Funding

Perfusion MRI for Multi-site Studies of Brain FunctionR01MH080729 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALSOP, DAVID CHARLES, DETRE, JOHN A · 2007 to 2017
$3.8M
NIMH NIH HHS 2R01MH080729NIMH NIH HHS R01 MH080729
6 · The paper itself

Abstract

Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) has been widely used to investigate spontaneous low-frequency signal fluctuations across brain resting state networks. However, BOLD only provides relative measures of signal fluctuations. Arterial Spin Labeling (ASL) MRI holds great potential for quantitative measurements of resting state network fluctuations. This study systematically quantified signal fluctuations of the large-scale resting state networks using ASL data from 20 healthy volunteers by separating them from global signal fluctuations and fluctuations caused by residual noise. Global ASL signal fluctuation was 7.59% ± 1.47% relative to the ASL baseline perfusion. Fluctuations of seven detected resting state networks vary from 2.96% ± 0.93% to 6.71% ± 2.35%. Fluctuations of networks and residual noise were 6.05% ± 1.18% and 6.78% ± 1.16% using 4-mm resolution ASL data applied with Gaussian smoothing kernel of 6mm. However, network fluctuations were reduced by 7.77% ± 1.56% while residual noise fluctuation was markedly reduced by 39.75% ± 2.90% when smoothing kernel of 12 mm was applied to the ASL data. Therefore, global and network fluctuations are the dominant structured noise sources in ASL data. Quantitative measurements of resting state networks may enable improved noise reduction and provide insights into the function of healthy and diseased brain.

Indexed as

RestAdultBrainBrain MappingCerebrovascular CirculationFemaleHumansMagnetic Resonance AngiographyMaleSpin LabelsYoung AdultSpin LabelsArterial spin labelingfunctional connectivityfunctional MRIperfusionresting-state fluctuations

Identifiers

PMID26661226
PMCPMC4794099
OpenAlexW2288915621

What OpenQuestion 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 OpenQuestion graph.