Literature DB >> 17126038

How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration.

Kevin Murphy1, Jerzy Bodurka, Peter A Bandettini.   

Abstract

Recent advances in MRI receiver and coil technologies have significantly improved image signal-to-noise ratios (SNR) and thus temporal SNR (TSNR). These gains in SNR and TSNR have allowed the detection of fMRI signal changes at higher spatial resolution and therefore have increased the potential to localize small brain structures such as cortical layers and columns. The majority of current fMRI processing strategies employ multi-subject averaging and therefore require spatial smoothing and normalization, effectively negating these gains in spatial resolution higher than about 10 mm3. Reliable detection of activation in single subjects at high resolution is becoming a more common desire among fMRI researchers who are interested in comparing individuals rather than populations. Since TSNR decreases with voxel volume, detection of activation at higher resolutions requires longer scan durations. The relationship between TSNR, voxel volume and detectability is highly non-linear. In this study, the relationship between TSNR and the necessary fMRI scan duration required to obtain significant results at varying P values is determined both experimentally and theoretically. The results demonstrate that, with a TSNR of 50, detection of activation of above 2% requires at most 350 scan volumes (when steps are taken to remove the influence of physiological noise from the data). Importantly, these results also demonstrate that, for activation magnitude on the order of 1%, the scan duration required is more sensitive to the TSNR level than at 2%. This study showed that with voxel volumes of approximately 10 mm3 at 3 T, and a corresponding TSNR of approximately 50, the required number of time points that guarantees detection of signal changes of 1% is about 860, but if TSNR increases by only 20%, the time for detection decreases by more than 30%. More than just being an exercise in numbers, these results imply that imaging of columnar resolution (effect size=1% and assuming a TR of 1 s) at 3 T will require either 10 min for a TSNR of 60 or 40 min for a TSNR of 30. The implication is that at these resolutions, TSNR is likely to be critical for determining success or failure of an experiment.

Mesh:

Year:  2006        PMID: 17126038      PMCID: PMC2223273          DOI: 10.1016/j.neuroimage.2006.09.032

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


  35 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.  Detection power, estimation efficiency, and predictability in event-related fMRI.

Authors:  T T Liu; L R Frank; E C Wong; R B Buxton
Journal:  Neuroimage       Date:  2001-04       Impact factor: 6.556

3.  High-resolution mapping of iso-orientation columns by fMRI.

Authors:  D S Kim; T Q Duong; S G Kim
Journal:  Nat Neurosci       Date:  2000-02       Impact factor: 24.884

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.  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

6.  The effects of single-trial averaging upon the spatial extent of fMRI activation.

Authors:  S A Huettel; G McCarthy
Journal:  Neuroreport       Date:  2001-08-08       Impact factor: 1.837

7.  Deriving the optimal number of events for an event-related fMRI study based on the spatial extent of activation.

Authors:  Kevin Murphy; Hugh Garavan
Journal:  Neuroimage       Date:  2005-10-01       Impact factor: 6.556

8.  Non-white noise in fMRI: does modelling have an impact?

Authors:  Torben E Lund; Kristoffer H Madsen; Karam Sidaros; Wen-Lin Luo; Thomas E Nichols
Journal:  Neuroimage       Date:  2005-08-11       Impact factor: 6.556

9.  Information-based functional brain mapping.

Authors:  Nikolaus Kriegeskorte; Rainer Goebel; Peter Bandettini
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-28       Impact factor: 11.205

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

View more
  138 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.  Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility.

Authors:  Xiaomu Song; Lawrence P Panych; Nan-Kuei Chen
Journal:  Brain Connect       Date:  2015-11-18

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

4.  A cortical network for the encoding of object change.

Authors:  Nicholas C Hindy; Sarah H Solomon; Gerry T M Altmann; Sharon L Thompson-Schill
Journal:  Cereb Cortex       Date:  2013-10-14       Impact factor: 5.357

5.  Similarity of fMRI activity patterns in left perirhinal cortex reflects semantic similarity between words.

Authors:  Rose Bruffaerts; Patrick Dupont; Ronald Peeters; Simon De Deyne; Gerrit Storms; Rik Vandenberghe
Journal:  J Neurosci       Date:  2013-11-20       Impact factor: 6.167

6.  Large-scale brain networks of the human left temporal pole: a functional connectivity MRI study.

Authors:  Belen Pascual; Joseph C Masdeu; Mark Hollenbeck; Nikos Makris; Ricardo Insausti; Song-Lin Ding; Bradford C Dickerson
Journal:  Cereb Cortex       Date:  2013-09-24       Impact factor: 5.357

7.  Visual grading of 2D and 3D functional MRI compared with image-based descriptive measures.

Authors:  Mattias Ragnehed; Olof Dahlqvist Leinhard; Johan Pihlsgård; Staffan Wirell; Hannibal Sökjer; Patrik Fägerstam; Bo Jiang; Orjan Smedby; Maria Engström; Peter Lundberg
Journal:  Eur Radiol       Date:  2009-09-02       Impact factor: 5.315

Review 8.  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

9.  Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage.

Authors:  Amanda F Mejia; Mary Beth Nebel; Anita D Barber; Ann S Choe; James J Pekar; Brian S Caffo; Martin A Lindquist
Journal:  Neuroimage       Date:  2018-02-14       Impact factor: 6.556

10.  The selectivity and functional connectivity of the anterior temporal lobes.

Authors:  W Kyle Simmons; Mark Reddish; Patrick S F Bellgowan; Alex Martin
Journal:  Cereb Cortex       Date:  2009-07-20       Impact factor: 5.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.