Literature DB >> 19349231

Investigating the benefits of multi-echo EPI for fMRI at 7 T.

Benedikt A Poser1, David G Norris.   

Abstract

Functional MRI studies on humans with BOLD contrast are increasingly performed at high static magnetic field in order to exploit the increased sensitivity. The downside of high-field fMRI using the gradient-echo echo-planar imaging (GE-EPI) method is that images are typically very strongly affected by image distortion and signal loss. It has been demonstrated at 1.5 T and 3 T that image artifacts can be reduced and functional sensitivity simultaneously increased by the use of parallel-accelerated multi-echo EPI. Using sensitivity measurements and an activation study with a cognitive Stroop task experiment (N=7) we here investigate the potential of this method at 7 T. The main findings are: (a) image quality compared to a conventional acquisition scheme is drastically improved; (b) according to CNR estimations the average BOLD sensitivity increases by 6.1+/-4.3% and 13.9+/-5.5% for unweighted and CNR-weighted echo summation, respectively; (c) both functional signal changes and sensitivity in the multi-echo data do not exhibit a pronounced dependence on TE. The consequence is that (d) in practice the performance of simple echo summation at very high field is comparable to that based on a CNR filter. Finally, (e) temporal noise observed in the different echo time courses is not strongly correlated, thus explaining why echo summation is advantageous. The results at typical spatial resolution show that multi-echo EPI acquisition leads to considerable artifact reduction and sensitivity gains, making it superior to conventional GE-EPI for fMRI at 7 T.

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Year:  2009        PMID: 19349231     DOI: 10.1016/j.neuroimage.2009.01.007

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  48 in total

1.  Application of whole-brain CBV-weighted fMRI to a cognitive stimulation paradigm: robust activation detection in a stroop task experiment using 3D GRASE VASO.

Authors:  Benedikt A Poser; David G Norris
Journal:  Hum Brain Mapp       Date:  2010-06-24       Impact factor: 5.038

2.  Ultra-high-field magnetic resonance: Why and when?

Authors:  Ewald Moser
Journal:  World J Radiol       Date:  2010-01-28

Review 3.  Magnetic resonance imaging at ultrahigh fields.

Authors:  Kamil Ugurbil
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

Review 4.  Ultrafast inverse imaging techniques for fMRI.

Authors:  Fa-Hsuan Lin; Kevin W K Tsai; Ying-Hua Chu; Thomas Witzel; Aapo Nummenmaa; Tommi Raij; Jyrki Ahveninen; Wen-Jui Kuo; John W Belliveau
Journal:  Neuroimage       Date:  2012-01-21       Impact factor: 6.556

5.  A 7T fMRI study of cerebellar activation in sequential finger movement tasks.

Authors:  M R Stefanescu; M Thürling; S Maderwald; T Wiestler; M E Ladd; J Diedrichsen; D Timmann
Journal:  Exp Brain Res       Date:  2013-06-04       Impact factor: 1.972

6.  Three dimensional echo-planar imaging at 7 Tesla.

Authors:  B A Poser; P J Koopmans; T Witzel; L L Wald; M Barth
Journal:  Neuroimage       Date:  2010-02-06       Impact factor: 6.556

7.  Structural and functional MRI abnormalities of cerebellar cortex and nuclei in SCA3, SCA6 and Friedreich's ataxia.

Authors:  Maria R Stefanescu; Moritz Dohnalek; Stefan Maderwald; Markus Thürling; Martina Minnerop; Andreas Beck; Marc Schlamann; Joern Diedrichsen; Mark E Ladd; Dagmar Timmann
Journal:  Brain       Date:  2015-03-28       Impact factor: 13.501

8.  A comparison of dual gradient-echo and spin-echo fMRI of the inferior temporal lobe.

Authors:  Ajay D Halai; Stephen R Welbourne; Karl Embleton; Laura M Parkes
Journal:  Hum Brain Mapp       Date:  2014-02-22       Impact factor: 5.038

9.  Intensity-based masking: A tool to improve functional connectivity results of resting-state fMRI.

Authors:  Michael Peer; Sami Abboud; Uri Hertz; Amir Amedi; Shahar Arzy
Journal:  Hum Brain Mapp       Date:  2016-03-28       Impact factor: 5.038

Review 10.  Multi-echo acquisition.

Authors:  Stefan Posse
Journal:  Neuroimage       Date:  2011-10-25       Impact factor: 6.556

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