Evidence map›Paper›PMID 25462690›Full record

ArticleNeuroImage2015

Theoretical and experimental evaluation of multi-band EPI for high-resolution whole brain pCASL Imaging.

Xiufeng Li, Dingxin Wang, Edward J Auerbach, Steen Moeller, Kamil Ugurbil, Gregory J Metzger

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Human Cerebral Blood Flow Activity with Diurnal Variation Differentially Correlated with the Suprachiasmatic Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  9. Diurnal Variation of Brain Activity in the Human Suprachiasmatic Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

6 authors at 3 institutions in 1 country.

Xiufeng LiCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA. Electronic address: lixx1607@umn.edu.
Dingxin WangCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA; Siemens Healthcare, Minneapolis, MN, USA.
Edward J AuerbachCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Steen MoellerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Kamil UgurbilCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Gregory J MetzgerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · USResonance Research (United States) · USSiemens Healthcare (United States) · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
ZOOMED FUNCT IMAGING IN HUMAN BRAIN AT 7T W/ SIMULT HIGH SPATIAL &TEMPORAL RESP41RR008079 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VAN DE MOORTELE, PIERRE-FRANCOIS · 1993 to 2011
$16.3M
Visual TestingP30EY011374 · NEI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI NEWMAN, ERIC A · 1996 to 2019
$8.8M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
NCATS NIH HHS UL1 TR000114NCATS NIH HHS UL1TR000114NCRR NIH HHS P41 RR008079NEI NIH HHS P30 EY011374NIBIB NIH HHS P41 EB015894NIMH NIH HHS 1U54 MH091657NIMH NIH HHS U54 MH091657NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Multi-band echo planar imaging (MB-EPI), a new approach to increase data acquisition efficiency and/or temporal resolution, has the potential to overcome critical limitations of standard acquisition strategies for obtaining high-resolution whole brain perfusion imaging using arterial spin labeling (ASL). However, the use of MB also introduces confounding effects, such as spatially varying amplified thermal noise and leakage contamination, which have not been evaluated to date as to their effect on cerebral blood flow (CBF) estimation. In this study, both the potential benefits and confounding effects of MB-EPI were systematically evaluated through both simulation and experimentally using a pseudo-continuous arterial spin labeling (pCASL) strategy. These studies revealed that the amplified noise, given by the geometry factor (g-factor), and the leakage contamination, assessed by the total leakage factor (TLF), have a minimal impact on CBF estimation. Furthermore, it is demonstrated that MB-EPI greatly benefits high-resolution whole brain pCASL studies in terms of improved spatial and temporal signal-to-noise ratio efficiencies, and increases compliance with the assumptions of the commonly used single blood compartment model, resulting in improved CBF estimates.

Indexed as

ArtifactsAdultAlgorithmsBlood Flow VelocityBrainCerebrovascular CirculationComputer SimulationEcho-Planar ImagingFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMaleMiddle AgedModels, CardiovascularArterial spin labeling (ASL)Cerebral blood flow (CBF)Leakage evaluation via acquired dummy slices (LEADS)Multi-band echo planar imaging (MB-EPI)Pseudo-continuous arterial spin labeling (pCASL)Total leakage factor (TLF)

Identifiers

PMID25462690
PMCPMC4337884
OpenAlexW1972141349

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.