Differential functional benefits of ultra highfield MR systems within the language network

Several investigations have shown limitations of fMRI reliability with the current standard field strengths. Improvement is expected from ultra highfield systems but studies on possible benefits for cognitive networks are lacking. Here we provide an initial investigation on a prominent and clinically highly-relevant cognitive function: language processing in individual brains. 26 patients evaluated for presurgical language localization were investigated with a standardized overt language fMRI paradigm on both 3 T and 7 T MR scanners. During data acquisition and analysis we made particular efforts to minimize effects not related to static magnetic field strength differences. Six measures relevant for functional activation showed a large dissociation between essential language network nodes: although in Wernicke's area 5/6 measures indicated a benefit of ultra highfield, in Broca's area no comparison was significant. The most important reason for this discrepancy was identified as being an increase in susceptibility-related artifacts in inferior frontal brain areas at ultra high field. We conclude that functional UHF benefits are evident, however these depend crucially on the brain region investigated and the ability to control local artifacts.

[1]  Peter G. Morris,et al.  fMRI at 1.5, 3 and 7 T: Characterising BOLD signal changes , 2009, NeuroImage.

[2]  Markus Barth,et al.  Single‐shot echo‐planar imaging with Nyquist ghost compensation: Interleaved dual echo with acceleration (IDEA) echo‐planar imaging (EPI) , 2013, Magnetic resonance in medicine.

[3]  Lawrence L. Wald,et al.  Three dimensional echo-planar imaging at 7 Tesla , 2010, NeuroImage.

[4]  Markus Barth,et al.  Contrast‐to‐noise ratio (CNR) as a quality parameter in fMRI , 2007, Journal of magnetic resonance imaging : JMRI.

[5]  Siegfried Trattnig,et al.  Comparing the Microvascular Specificity of the 3- and 7-T BOLD Response Using ICA and Susceptibility-Weighted Imaging , 2013, Front. Hum. Neurosci..

[6]  F. Ye,et al.  Correction for geometric distortion and N/2 ghosting in EPI by phase labeling for additional coordinate encoding (PLACE) , 2007, Magnetic resonance in medicine.

[7]  Roland Beisteiner,et al.  How much are clinical fMRI reports influenced by standard postprocessing methods? An investigation of normalization and region of interest effects in the medial temporal lobe , 2010, Human brain mapping.

[8]  Julien Cohen-Adad,et al.  Improving diffusion MRI using simultaneous multi-slice echo planar imaging , 2012, NeuroImage.

[9]  C Windischberger,et al.  Improvement of presurgical patient evaluation by generation of functional magnetic resonance risk maps , 2000, Neuroscience Letters.

[10]  Lawrence L. Wald,et al.  Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters , 2005, NeuroImage.

[11]  Oliver Speck,et al.  Retinotopic mapping of the human visual cortex at a magnetic field strength of 7T , 2009, Clinical Neurophysiology.

[12]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[13]  Robin M Heidemann,et al.  Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.

[14]  Stefan Golaszewski,et al.  Variability of clinical functional MR imaging results: a multicenter study. , 2013, Radiology.

[15]  ury Kousha,et al.  eal-time automated spectral assessment of the BOLD response for eurofeedback at 3 and 7 T , 2013 .

[16]  W van der Zwaag,et al.  Temporal SNR characteristics in segmented 3D‐EPI at 7T , 2012, Magnetic resonance in medicine.

[17]  J. D. de Certaines,et al.  Performance assessment and quality control in MRI by Eurospin test objects and protocols. , 1993, Magnetic resonance imaging.

[18]  G. Kranz,et al.  High-resolution functional MRI of the human amygdala at 7 T , 2013, European journal of radiology.

[19]  Jorge Jovicich,et al.  B0 mapping with multi‐channel RF coils at high field , 2011, Magnetic resonance in medicine.

[20]  O Speck,et al.  [Neurofunctional MRI at high magnetic fields]. , 2013, Der Radiologe.

[21]  C Windischberger,et al.  Quantification of fMRI artifact reduction by a novel plaster cast head holder , 2000, Human brain mapping.

[22]  Claus Lamm,et al.  Comparing neural response to painful electrical stimulation with functional MRI at 3 and 7T , 2013, NeuroImage.

[23]  Siegfried Trattnig,et al.  Clinical fMRI: Evidence for a 7 T benefit over 3 T , 2011, NeuroImage.

[24]  R. Beisteiner,et al.  Improvement of Clinical Language Localization with an Overt Semantic and Syntactic Language Functional MR Imaging Paradigm , 2009, American Journal of Neuroradiology.

[25]  E. Gill,et al.  Three-dimensional echo: transition from theory to real-time, a technology now ready for prime time. , 2005, Current problems in diagnostic radiology.

[26]  Andreas Gartus,et al.  Probing overtly spoken language at sentential level—A comprehensive high-field BOLD–fMRI protocol reflecting everyday language demands , 2008, NeuroImage.

[27]  Stefan Maderwald,et al.  Memory‐Related Hippocampal Activity Can Be Measured Robustly Using fMRI at 7 Tesla , 2013, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[28]  R. Turner,et al.  Neurofunktionelle MRT bei hohen Feldern , 2013, Der Radiologe.

[29]  Stefan Skare,et al.  Clinical multishot DW‐EPI through parallel imaging with considerations of susceptibility, motion, and noise , 2007, Magnetic resonance in medicine.

[30]  Lawrence L. Wald,et al.  Physiological noise and signal-to-noise ratio in fMRI with multi-channel array coils , 2011, NeuroImage.

[31]  Mark A. Elliott,et al.  Real-time automated spectral assessment of the BOLD response for neurofeedback at 3 and 7T , 2013, Journal of Neuroscience Methods.