Literature DB >> 17071111

MR-Encephalography: Fast multi-channel monitoring of brain physiology with magnetic resonance.

Juergen Hennig1, Kai Zhong, Oliver Speck.   

Abstract

A new approach to measure activation-related changes in the brain by magnetic resonance is described offering high temporal resolution of 10-100 measurements per second. This is achieved by simultaneous multi-channel reception where the spatial resolution during continuous observation is determined by the sensitive volume of each coil alone without any additional spatial encoding gradients. Experimental results demonstrate the very high sensitivity of this approach, which allows to directly measure and monitor the stimulus-dependent hemodynamic response as well as ECG- and breathing-related signal fluctuations. One-dimensional spatial encoding either parallel or orthogonal to the cortex demonstrates that vascular signals can be identified by the pronounced signal variation at the ECG-frequency. Noise analysis at different frequencies reveals regional signal fluctuations in the frequency range between 2 and 10 Hz. Furthermore, initial results show that frequency changes in the order of <0.03 Hz corresponding to <1 nano Tesla can be detected. In addition to its potential use in neuroscientific studies, this new method opens a wide range of applications for fast physiological monitoring and can be easily combined with conventional high-resolution imaging.

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Mesh:

Year:  2006        PMID: 17071111     DOI: 10.1016/j.neuroimage.2006.08.036

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


  35 in total

1.  Physiological noise reduction using volumetric functional magnetic resonance inverse imaging.

Authors:  Fa-Hsuan Lin; Aapo Nummenmaa; Thomas Witzel; Jonathan R Polimeni; Thomas A Zeffiro; Fu-Nien Wang; John W Belliveau
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

Review 2.  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

3.  Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing.

Authors:  Fa-Hsuan Lin; Thomas Witzel; Joseph B Mandeville; Jonathan R Polimeni; Thomas A Zeffiro; Douglas N Greve; Graham Wiggins; Lawrence L Wald; John W Belliveau
Journal:  Neuroimage       Date:  2008-04-23       Impact factor: 6.556

Review 4.  Endogenous brain fluctuations and diagnostic imaging.

Authors:  Vesa Kiviniemi
Journal:  Hum Brain Mapp       Date:  2008-07       Impact factor: 5.038

5.  Enhanced subject-specific resting-state network detection and extraction with fast fMRI.

Authors:  Burak Akin; Hsu-Lei Lee; Jürgen Hennig; Pierre LeVan
Journal:  Hum Brain Mapp       Date:  2016-10-03       Impact factor: 5.038

6.  Is it possible to detect dendrite currents using presently available magnetic resonance imaging techniques?

Authors:  William I Jay; Ranjith S Wijesinghe; Brain D Dolasinski; Bradley J Roth
Journal:  Med Biol Eng Comput       Date:  2012-03-24       Impact factor: 2.602

7.  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

8.  Detection of peripheral nerve and skeletal muscle action currents using magnetic resonance imaging.

Authors:  Ranjith S Wijesinghe; Bradley J Roth
Journal:  Ann Biomed Eng       Date:  2009-07-17       Impact factor: 3.934

Review 9.  [Methodological problems with clinical functional MRI investigations].

Authors:  T Foki; R Beisteiner
Journal:  Radiologe       Date:  2010-02       Impact factor: 0.635

10.  Linear constraint minimum variance beamformer functional magnetic resonance inverse imaging.

Authors:  Fa-Hsuan Lin; Thomas Witzel; Thomas A Zeffiro; John W Belliveau
Journal:  Neuroimage       Date:  2008-07-11       Impact factor: 6.556

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