Literature DB >> 21294154

Three-dimensional MR-encephalography: fast volumetric brain imaging using rosette trajectories.

Benjamin Zahneisen1, Thimo Grotz, Kuan J Lee, Sabine Ohlendorf, Marco Reisert, Maxim Zaitsev, Jürgen Hennig.   

Abstract

MR-Encephalography (MREG) is a technique that allows real time observation of functional changes in the brain that appears within 100 msec. The high sampling rate is achieved at the cost of some spatial resolution. The article describes a novel imaging method for fast three-dimensional-MR-encephalography whole brain coverage based on rosette trajectories and the use of multiple small receiver coils. The technique allows the observation of changes in brain physiology at very high temporal resolution. A highly undersampled three-dimensional rosette trajectory is chosen, to perform single shot acquisition of k-space data within 23 msec. By using a 32-channel head coil array and regularized nonuniform Fourier transformation reconstruction, the spatial resolution is sufficient to detect even subtle centers of activation (e.g. human MT+). The method was applied to visual block design paradigms and compared with echo planar imaging-based functional MRI. As a proof-of-principle of the method's ability to detect local differences in the hemodynamic response functions, the analyzed MR-encephalography data revealed a spatially dependent delay of the arrival of the blood oxygenation level dependent response within the visual cortex.
Copyright © 2010 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21294154     DOI: 10.1002/mrm.22711

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  21 in total

Review 1.  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

2.  Evaluation of different cerebrospinal fluid and white matter fMRI filtering strategies-Quantifying noise removal and neural signal preservation.

Authors:  Marek Bartoň; Radek Mareček; Lenka Krajčovičová; Tomáš Slavíček; Tomáš Kašpárek; Petra Zemánková; Pavel Říha; Michal Mikl
Journal:  Hum Brain Mapp       Date:  2018-11-07       Impact factor: 5.038

3.  Simultaneous Multi-Slice fMRI using spiral trajectories.

Authors:  Benjamin Zahneisen; Benedikt A Poser; Thomas Ernst; Andrew V Stenger
Journal:  Neuroimage       Date:  2014-02-08       Impact factor: 6.556

4.  On the analysis of rapidly sampled fMRI data.

Authors:  Jingyuan E Chen; Jonathan R Polimeni; Saskia Bollmann; Gary H Glover
Journal:  Neuroimage       Date:  2019-02-05       Impact factor: 6.556

Review 5.  Multi-echo acquisition.

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

6.  Enhancement of temporal resolution and BOLD sensitivity in real-time fMRI using multi-slab echo-volumar imaging.

Authors:  Stefan Posse; Elena Ackley; Radu Mutihac; Jochen Rick; Matthew Shane; Cristina Murray-Krezan; Maxim Zaitsev; Oliver Speck
Journal:  Neuroimage       Date:  2012-02-28       Impact factor: 6.556

7.  Integrated and segregated frequency architecture of the human brain network.

Authors:  Junji Ma; Ying Lin; Chuanlin Hu; Jinbo Zhang; Yangyang Yi; Zhengjia Dai
Journal:  Brain Struct Funct       Date:  2021-01-03       Impact factor: 3.270

8.  Multi-projection magnetic resonance inverse imaging of the human visuomotor system.

Authors:  Kevin Wen-Kai Tsai; Aapo Nummenmaa; Thomas Witzel; Wei-Tang Chang; Wen-Jui Kuo; Fa-Hsuan Lin
Journal:  Neuroimage       Date:  2012-02-04       Impact factor: 6.556

9.  BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz.

Authors:  Jingyuan E Chen; Gary H Glover
Journal:  Neuroimage       Date:  2014-12-12       Impact factor: 6.556

10.  Real-Time Resting-State Functional Magnetic Resonance Imaging Using Averaged Sliding Windows with Partial Correlations and Regression of Confounding Signals.

Authors:  Kishore Vakamudi; Cameron Trapp; Khaled Talaat; Kunxiu Gao; Bruno Sa De La Rocque Guimaraes; Stefan Posse
Journal:  Brain Connect       Date:  2020-10-08
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