Literature DB >> 17101280

Mapping the MRI voxel volume in which thermal noise matches physiological noise--implications for fMRI.

J Bodurka1, F Ye, N Petridou, K Murphy, P A Bandettini.   

Abstract

This work addresses the choice of the imaging voxel volume in blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI). Noise of physiological origin that is present in the voxel time course is a prohibitive factor in the detection of small activation-induced BOLD signal changes. If the physiological noise contribution dominates over the temporal fluctuation contribution in the imaging voxel, further increases in the voxel signal-to-noise ratio (SNR) will have diminished corresponding increases in temporal signal-to-noise (TSNR), resulting in reduced corresponding increases in the ability to detect activation induced signal changes. On the other hand, if the thermal and system noise dominate (suggesting a relatively low SNR) further decreases in SNR can prohibit detection of activation-induced signal changes. Here we have proposed and called the "suggested" voxel volume for fMRI the volume where thermal plus system-related and physiological noise variances are equal. Based on this condition we have created maps of fMRI suggested voxel volume from our experimental data at 3T, since this value will spatially vary depending on the contribution of physiologic noise in each voxel. Based on our fast EPI segmentation technique we have found that for gray matter (GM), white matter (WM), and cerebral spinal fluid (CSF) brain compartments the mean suggested cubical voxel volume is: (1.8 mm)3, (2.1 mm)3 and (1.4 mm)3, respectively. Serendipitously, (1.8 mm)3 cubical voxel volume for GM approximately matches the cortical thickness, thus optimizing BOLD contrast by minimizing partial volume averaging. The introduced suggested fMRI voxel volume can be a useful parameter for choice of imaging volume for functional studies.

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Year:  2006        PMID: 17101280      PMCID: PMC1815476          DOI: 10.1016/j.neuroimage.2006.09.039

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


  27 in total

1.  Neuroimaging at 1.5 T and 3.0 T: comparison of oxygenation-sensitive magnetic resonance imaging.

Authors:  G Krüger; A Kastrup; G H Glover
Journal:  Magn Reson Med       Date:  2001-04       Impact factor: 4.668

2.  Impact of signal-to-noise on functional MRI.

Authors:  T B Parrish; D R Gitelman; K S LaBar; M M Mesulam
Journal:  Magn Reson Med       Date:  2000-12       Impact factor: 4.668

3.  Comparison of simultaneously measured perfusion and BOLD signal increases during brain activation with T(1)-based tissue identification.

Authors:  W M Luh; E C Wong; P A Bandettini; B D Ward; J S Hyde
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

4.  Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR.

Authors:  G H Glover; T Q Li; D Ress
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

5.  Multiresolution data acquisition and detection in functional MRI.

Authors:  S S Yoo; C R Guttmann; L P Panych
Journal:  Neuroimage       Date:  2001-12       Impact factor: 6.556

6.  High-resolution fMRI using multislice partial k-space GR-EPI with cubic voxels.

Authors:  J S Hyde; B B Biswal; A Jesmanowicz
Journal:  Magn Reson Med       Date:  2001-07       Impact factor: 4.668

7.  Physiological noise in oxygenation-sensitive magnetic resonance imaging.

Authors:  G Krüger; G H Glover
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

8.  Signal-to-noise ratio and parallel imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla.

Authors:  Jacco A de Zwart; Patrick J Ledden; Peter van Gelderen; Jerzy Bodurka; Renxin Chu; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2004-01       Impact factor: 4.668

9.  Human ocular dominance columns as revealed by high-field functional magnetic resonance imaging.

Authors:  K Cheng; R A Waggoner; K Tanaka
Journal:  Neuron       Date:  2001-10-25       Impact factor: 17.173

10.  Distributed and overlapping representations of faces and objects in ventral temporal cortex.

Authors:  J V Haxby; M I Gobbini; M L Furey; A Ishai; J L Schouten; P Pietrini
Journal:  Science       Date:  2001-09-28       Impact factor: 47.728

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  66 in total

1.  Physiological noise effects on the flip angle selection in BOLD fMRI.

Authors:  J Gonzalez-Castillo; V Roopchansingh; P A Bandettini; J Bodurka
Journal:  Neuroimage       Date:  2010-11-10       Impact factor: 6.556

2.  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

3.  The influence of spatial resolution and smoothing on the detectability of resting-state and task fMRI.

Authors:  Erin K Molloy; Mary E Meyerand; Rasmus M Birn
Journal:  Neuroimage       Date:  2013-09-08       Impact factor: 6.556

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.  High resolution single-shot EPI at 7T.

Authors:  Oliver Speck; J Stadler; M Zaitsev
Journal:  MAGMA       Date:  2007-11-01       Impact factor: 2.310

Review 6.  Analyzing for information, not activation, to exploit high-resolution fMRI.

Authors:  Nikolaus Kriegeskorte; Peter Bandettini
Journal:  Neuroimage       Date:  2007-02-27       Impact factor: 6.556

7.  Physiological noise in human cerebellar fMRI.

Authors:  Wietske van der Zwaag; João Jorge; Denis Butticaz; Rolf Gruetter
Journal:  MAGMA       Date:  2015-04-18       Impact factor: 2.310

8.  Variable slice thickness (VAST) EPI for the reduction of susceptibility artifacts in whole-brain GE-EPI at 7 Tesla.

Authors:  Sascha Brunheim; Sören Johst; Viktor Pfaffenrot; Stefan Maderwald; Harald H Quick; Benedikt A Poser
Journal:  MAGMA       Date:  2017-07-10       Impact factor: 2.310

9.  Face-identity change activation outside the face system: "release from adaptation" may not always indicate neuronal selectivity.

Authors:  Marieke Mur; Douglas A Ruff; Jerzy Bodurka; Peter A Bandettini; Nikolaus Kriegeskorte
Journal:  Cereb Cortex       Date:  2010-01-05       Impact factor: 5.357

10.  Human fronto-tectal and fronto-striatal-tectal pathways activate differently during anti-saccades.

Authors:  Antoin D de Weijer; Rene C W Mandl; Iris E C Sommer; Matthijs Vink; Rene S Kahn; Sebastiaan F W Neggers
Journal:  Front Hum Neurosci       Date:  2010-05-26       Impact factor: 3.169

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