Evidence map›Paper›PMID 23563228›Full record

ArticleNeuroImage2013

Whole-head rapid fMRI acquisition using echo-shifted magnetic resonance inverse imaging.

Wei-Tang Chang, Aapo Nummenmaa, Thomas Witzel, Jyrki Ahveninen, Samantha Huang, Kevin Wen-Kai Tsai, Ying-Hua Chu, Jonathan R Polimeni, John W Belliveau, Fa-Hsuan Lin

Abstract read
In one paragraph

Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Steady-state free precession for TMagnetic resonance in medicine · 2025
    Article
  2. Review
  3. 15 Years MR-encephalography.Magma (New York, N.Y.) · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

10 authors.

Wei-Tang ChangInstitute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Aapo Nummenmaa
Thomas Witzel
Jyrki Ahveninen
Samantha Huang
Kevin Wen-Kai Tsai
Ying-Hua Chu
Jonathan R Polimeni
John W Belliveau
Fa-Hsuan Lin

Funding

ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI HAMALAINEN, MATTI · 1999 to 2011
$16.4M
Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
SPATIOTEMPORAL IMAGING OF HUMAN VISUAL SYSTEM PROCESSINGR01NS037462 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI · 1998 to 2013
$6.5M
Spatiotemporal Brain Imaging of Human Auditory CognitionR01HD040712 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2002 to 2013
$6.2M
Parallel Excitation Methods for High Field MRIR01EB006847 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2007 to 2020
$5.4M
HIGH FIELD MR RESEARCH IN DRUG ABUSER01DA014178 · NIDA · MC LEAN HOSPITAL (BELMONT, MA) · PI RENSHAW, PERRY FRANKLIN · 2001 to 2005
$3.5M
Neural mechanisms: Learned audio-visuo-motor integrationR01NS048279 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BELLIVEAU, JOHN W · 2006 to 2009
$2.8M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Dynamic imaging of oscillatory brain networks controlling selective attentionR01MH083744 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2010 to 2013
$1.9M
Biological Spatial Resolution Limits in fMRIK01EB011498 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2011 to 2015
$877k
A Siemens MAGNETOTOM Trio 3 Tesla MRI SystemS10RR021110 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2006
$500k
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
NCRR NIH HHS P41 RR014075NCRR NIH HHS P41 RR14075NCRR NIH HHS S10RR014978NCRR NIH HHS S10 RR019307NCRR NIH HHS S10RR019307NCRR NIH HHS S10 RR021110NCRR NIH HHS S10RR021110NCRR NIH HHS S10 RR023401NCRR NIH HHS S10RR023401NIBIB NIH HHS R01 EB000790NIBIB NIH HHS R01EB000790NIBIB NIH HHS R01 EB006847NIBIB NIH HHS R01EB006847NIBIB NIH HHS R21 EB007298NIBIB NIH HHS R21EB007298NICHD NIH HHS R01 HD040712NICHD NIH HHS R01HD040712NIDA NIH HHS R01 DA014178NIDA NIH HHS R01DA14178NIDCD NIH HHS R21 DC010060NIDCD NIH HHS R21DC010060NIMH NIH HHS R01 MH083744NIMH NIH HHS R01MH083744NINDS NIH HHS R01 NS037462NINDS NIH HHS R01NS037462NINDS NIH HHS R01 NS048279
6 · The paper itself

Abstract

The acquisition time of BOLD contrast functional MRI (fMRI) data with whole-brain coverage typically requires a sampling rate of one volume in 1-3s. Although the volumetric sampling time of a few seconds is adequate for measuring the sluggish hemodynamic response (HDR) to neuronal activation, faster sampling of fMRI might allow for monitoring of rapid physiological fluctuations and detection of subtle neuronal activation timing information embedded in BOLD signals. Previous studies utilizing a highly accelerated volumetric MR inverse imaging (InI) technique have provided a sampling rate of one volume per 100 ms with 5mm spatial resolution. Here, we propose a novel modification of this technique, the echo-shifted InI, which allows TE to be longer than TR, to measure BOLD fMRI at an even faster sampling rate of one volume per 25 ms with whole-brain coverage. Compared with conventional EPI, echo-shifted InI provided an 80-fold speedup with similar spatial resolution and less than 2-fold temporal SNR loss. The capability of echo-shifted InI to detect HDR timing differences was tested empirically. At the group level (n=6), echo-spaced InI was able to detect statistically significant HDR timing differences of as low as 50 ms in visual stimulus presentation. At the level of individual subjects, significant differences in HDR timing were detected for 400 ms stimulus-onset differences. Our results also show that the temporal resolution of 25 ms is necessary for maintaining the temporal detecting capability at this level. With the capabilities of being able to distinguish the timing differences in the millisecond scale, echo-shifted InI could be a useful fMRI tool for obtaining temporal information at a time scale closer to that of neuronal dynamics.

Indexed as

Brain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhotic StimulationVisual Cortex

Identifiers

PMID23563228
PMCPMC3672248

What OpenQuestion holds

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Registered trials

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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.