#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Comparison of SMS-EPI and 3D-EPI at 7T in an fMRI localizer study with matched spatiotemporal resolution and homogenized excitation profiles


Autoři: Caroline Le Ster aff001;  Antonio Moreno aff002;  Franck Mauconduit aff001;  Vincent Gras aff001;  Ruediger Stirnberg aff003;  Benedikt A. Poser aff004;  Alexandre Vignaud aff001;  Evelyn Eger aff002;  Stanislas Dehaene aff002;  Florent Meyniel aff002;  Nicolas Boulant aff001
Působiště autorů: NeuroSpin, CEA, Université Paris-Saclay, Gif-Sur-Yvette, France aff001;  NeuroSpin, CEA, Université Paris-Saclay, INSERM, Gif-Sur-Yvette, France aff002;  German center for neurodegenerative diseases (DZNE), Bonn, Germany aff003;  Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands aff004;  Collège de France, Paris, France aff005
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0225286

Souhrn

The simultaneous multi-slice EPI (SMS-EPI, a.k.a. MB-EPI) sequence has met immense popularity recently in functional neuroimaging. A still less common alternative is the use of 3D-EPI, which offers similar acceleration capabilities. The aim of this work was to compare the SMS-EPI and the 3D-EPI sequences in terms of sampling strategies for the detection of task-evoked activations at 7T using detection theory. To this end, the spatial and temporal resolutions of the sequences were matched (1.6 mm isotropic resolution, TR = 1200 ms) and their excitation profiles were homogenized by means of calibration-free parallel-transmission (Universal Pulses). We used a fast-event “localizer” paradigm of 5:20 min in order to probe sensorimotor functions (visual, auditory and motor tasks) as well as higher level functions (language comprehension, mental calculation), where results from a previous large-scale study at 3T (N = 81) served as ground-truth reference for the brain areas implicated in each cognitive function. In the current study, ten subjects were scanned while their activation maps were generated for each cognitive function with the GLM analysis. The SMS-EPI and 3D-EPI sequences were compared in terms of raw tSNR, t-score testing for the mean signal, activation strength and accuracy of the robust sensorimotor functions. To this end, the sensitivity and specificity of these contrasts were computed by comparing their activation maps to the reference brain areas obtained in the 3T study. Estimated flip angle distributions in the brain reported a normalized root mean square deviation from the target value below 10% for both sequences. The analysis of the t-score testing for the mean signal revealed temporal noise correlations, suggesting the use of this metric instead of the traditional tSNR for testing fMRI sequences. The SMS-EPI and 3D-EPI thereby yielded similar performance from a detection theory perspective.

Klíčová slova:

Fats – Functional magnetic resonance imaging – Neuroimaging – Central nervous system – Sequence databases – Acoustic signals – Sensory physiology – Language


Zdroje

1. Larkman DJ, Hajnal JV, Herlihy AH, Coutts GA, Young IR, Ehnholm G. Use of multicoil arrays for separation of signal from multiple slices simultaneously excited. Journal of Magnetic Resonance Imaging. 2001;13(2):313–317. doi: 10.1002/1522-2586(200102)13:2<313::aid-jmri1045>3.0.co;2-w 11169840

2. Moeller S, Yacoub E, Olman CA, Auerbach E, Strupp J, Harel N, et al. Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magnetic Resonance in Medicine. 2010;63(5):1144–1153. doi: 10.1002/mrm.22361 20432285

3. Feinberg DA, Moeller S, Smith SM, Auerbach E, Ramanna S, Glasser MF, et al. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging. PLoS ONE. 2010;5(12):e15710. doi: 10.1371/journal.pone.0015710 21187930

4. Setsompop K, Gagoski BA, Polimeni JR, Witzel T, Wedeen VJ, Wald LL. Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magnetic Resonance in Medicine. 2012;67(5):1210–1224. doi: 10.1002/mrm.23097 21858868

5. Breuer FA, Blaimer M, Mueller MF, Seiberlich N, Heidemann RM, Griswold MA, et al. Controlled aliasing in volumetric parallel imaging (2D CAIPIRINHA). Magnetic Resonance in Medicine. 2006;55(3):549–556. doi: 10.1002/mrm.20787 16408271

6. Poser BA, Koopmans PJ, Witzel T, Wald LL, Barth M. Three dimensional echo-planar imaging at 7 Tesla. NeuroImage. 2010;51(1):261–266. doi: 10.1016/j.neuroimage.2010.01.108 20139009

7. Narsude M, Gallichan D, van der Zwaag W, Gruetter R, Marques JP. Three-dimensional echo planar imaging with controlled aliasing: A sequence for high temporal resolution functional MRI: 3D-EPI-CAIPI: A Sequence for High Temporal Resolution fMRI. Magnetic Resonance in Medicine. 2016;75(6):2350–2361.

8. Stirnberg R, Brenner D, Stöcker T, Shah NJ. Rapid fat suppression for three-dimensional echo planar imaging with minimized specific absorption rate: Rapid, Minimum-SAR Fat Suppression. Magnetic Resonance in Medicine. 2016;76(5):1517–1523.

9. van der Zwaag W, Marques JP, Kober T, Glover G, Gruetter R, Krueger G. Temporal SNR characteristics in segmented 3D-EPI at 7T. Magnetic Resonance in Medicine. 2012;67(2):344–352. doi: 10.1002/mrm.23007 21656557

10. Lutti A, Thomas DL, Hutton C, Weiskopf N. High-resolution functional MRI at 3 T: 3D/2D echo-planar imaging with optimized physiological noise correction: High-Resolution fMRI at 3T. Magnetic Resonance in Medicine. 2013;69(6):1657–1664.

11. Stirnberg R, Huijbers W, Brenner D, Poser BA, Breteler M, Stöcker T. Rapid whole-brain resting-state fMRI at 3 T: Efficiency-optimized three-dimensional EPI versus repetition time-matched simultaneous-multi-slice EPI. NeuroImage. 2017;163:81–92. doi: 10.1016/j.neuroimage.2017.08.031 28923276

12. Jorge J, Figueiredo P, van der Zwaag W, Marques JP. Signal fluctuations in fMRI data acquired with 2D-EPI and 3D-EPI at 7 Tesla. Magnetic Resonance Imaging. 2013;31(2):212–220. doi: 10.1016/j.mri.2012.07.001 22921734

13. Reynaud O, Jorge J, Gruetter R, Marques JP, van der Zwaag W. Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T: Influence of Physiological Noise on 2D and 3D fMRI Data. Magnetic Resonance in Medicine. 2017;78(3):888–896.

14. Huber L, Ivanov D, Handwerker DA, Marrett S, Guidi M, Uludağ K, et al. Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications. Neuroimage. 2018;164:131–143. doi: 10.1016/j.neuroimage.2016.11.039 27867088

15. Glover GH, Li TQ, Ress D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magnetic Resonance in Medicine. 2000;44(1):162–167. doi: 10.1002/1522-2594(200007)44:1<162::aid-mrm23>3.0.co;2-e 10893535

16. Triantafyllou C, Hoge RD, Krueger G, Wiggins CJ, Potthast A, Wiggins GC, et al. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters. NeuroImage. 2005;26(1):243–250. doi: 10.1016/j.neuroimage.2005.01.007 15862224

17. Webb AG. Dielectric materials in magnetic resonance. Concepts in Magnetic Resonance Part A. 2011;38A(4):148–184. doi: 10.1002/cmr.a.20219

18. Katscher U, Börnert P, Leussler C, van den Brink JS. Transmit SENSE: Transmit SENSE. Magnetic Resonance in Medicine. 2003;49(1):144–150.

19. Adriany G, Van de Moortele PF, Wiesinger F, Moeller S, Strupp JP, Andersen P, et al. Transmit and receive transmission line arrays for 7 Tesla parallel imaging. Magnetic Resonance in Medicine. 2005;53(2):434–445. doi: 10.1002/mrm.20321 15678527

20. Saekho S, Yip Cy, Noll DC, Boada FE, Stenger VA. Fast-kz three-dimensional tailored radiofrequency pulse for reducedB1 inhomogeneity. Magnetic Resonance in Medicine. 2006;55(4):719–724. doi: 10.1002/mrm.20840 16526012

21. Setsompop K, Alagappan V, Gagoski B, Witzel T, Polimeni J, Potthast A, et al. Slice-selective RF pulses for in vivo B 1+ inhomogeneity mitigation at 7 tesla using parallel RF excitation with a 16-element coil. Magnetic Resonance in Medicine. 2008;60(6):1422–1432. doi: 10.1002/mrm.21739 19025908

22. Cloos MA, Boulant N, Luong M, Ferrand G, Giacomini E, Le Bihan D, et al. kT-points: Short three-dimensional tailored RF pulses for flip-angle homogenization over an extended volume. Magnetic Resonance in Medicine. 2012;67(1):72–80. doi: 10.1002/mrm.22978 21590724

23. Padormo F, Beqiri A, Hajnal JV, Malik SJ. Parallel transmission for ultrahigh-field imaging: Parallel Transmission for Ultrahigh-Field Imaging. NMR in Biomedicine. 2016;29(9):1145–1161.

24. Gras V, Vignaud A, Amadon A, Le Bihan D, Boulant N. Universal pulses: A new concept for calibration-free parallel transmission: Calibration-Free Parallel Transmission. Magnetic Resonance in Medicine. 2017;77(2):635–643.

25. Gras V, Boland M, Vignaud A, Ferrand G, Amadon A, Mauconduit F, et al. Homogeneous non-selective and slice-selective parallel-transmit excitations at 7 Tesla with universal pulses: A validation study on two commercial RF coils. PLOS ONE. 2017;12(8):e0183562. doi: 10.1371/journal.pone.0183562 28827835

26. Wu X, Gras V, Vignaud A, Mauconduit F, Boland M, Stöcker T, et al. The travelling pulses: multicenter evaluation of universal pulses at 7T. In: Proceedings of the 26th annual ISMRM meeting; 2018. p. 1133.

27. Gras V, Poser BA, Wu X, Tomi-Tricot R, Boulant N. Optimizing BOLD sensitivity in the 7T Human Connectome Project resting-state fMRI protocol using plug-and-play parallel transmission. NeuroImage. 2019;195:1–10. doi: 10.1016/j.neuroimage.2019.03.040 30923027

28. Gras V, Mauconduit F, Vignaud A, Amadon A, Le Bihan D, Stöcker T, et al. Design of universal parallel-transmit refocusing kT-point pulses and application to 3D T2-weighted imaging at 7T: Universal Pulse Design of 3D Refocusing Pulses. Magnetic Resonance in Medicine. 2018;80(1):53–65.

29. Chen L, T Vu A, Xu J, Moeller S, Ugurbil K, Yacoub E, et al. Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI. NeuroImage. 2015;104:452–459. doi: 10.1016/j.neuroimage.2014.10.027 25462696

30. Sahib AK, Mathiak K, Erb M, Elshahabi A, Klamer S, Scheffler K, et al. Effect of temporal resolution and serial autocorrelations in event-related functional MRI. Magnetic resonance in medicine. 2016;76(6):1805–1813. doi: 10.1002/mrm.26073 26749161

31. Corbin N, Todd N, Friston KJ, Callaghan MF. Accurate modeling of temporal correlations in rapidly sampled fMRI time series. Human brain mapping. 2018;39(10):3884–3897. doi: 10.1002/hbm.24218 29885101

32. Pinel P, Thirion B, Meriaux S, Jobert A, Serres J, Le Bihan D, et al. Fast reproducible identification and large-scale databasing of individual functional cognitive networks. BMC Neuroscience. 2007;8(1):91. doi: 10.1186/1471-2202-8-91 17973998

33. Constable RT, Skudlarski P, Gore JC. An roc approach for evaluating functional brain mr imaging and postprocessing protocols. Magnetic Resonance in Medicine. 1995;34(1):57–64. doi: 10.1002/mrm.1910340110 7674899

34. Macmillan NA, Creelman CD. Detection theory: a user’s guide. 2nd ed. Mahwah, N.J: Lawrence Erlbaum Associates; 2005.

35. T Vu A, Jamison K, Glasser MF, Smith SM, Coalson T, Moeller S, et al. Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project. NeuroImage. 2017;154:23–32. doi: 10.1016/j.neuroimage.2016.11.049 27894889

36. Cauley SF, Polimeni JR, Bhat H, Wald LL, Setsompop K. Interslice leakage artifact reduction technique for simultaneous multislice acquisitions: Interslice Leakage Artifact Reduction Technique. Magnetic Resonance in Medicine. 2014;72(1):93–102.

37. Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magnetic Resonance in Medicine. 2002;47(6):1202–1210. doi: 10.1002/mrm.10171 12111967

38. Eichfelder G, Gebhardt M. Local specific absorption rate control for parallel transmission by virtual observation points. Magnetic Resonance in Medicine. 2011;66(5):1468–1476. doi: 10.1002/mrm.22927 21604294

39. Boulant N, Gras V, Amadon A, Luong M, Ferrand G, Vignaud A. Workflow proposal for defining SAR safety margins in parallel transmission. In: Proceedings of the 26th annual ISMRM meeting; 2018. p. 0295.

40. Gras V, Vignaud A, Amadon A, Mauconduit F, Le Bihan D, Boulant N. New method to characterize and correct with sub-μs precision gradient delays in bipolar multispoke RF pulses: Characterizing and Correcting for Gradient Delays with Sub-μs Precision. Magnetic Resonance in Medicine. 2017;78(6):2194–2202.

41. Gras V, Luong M, Amadon A, Boulant N. Joint design of k T -points trajectories and RF pulses under explicit SAR and power constraints in the large flip angle regime. Journal of Magnetic Resonance. 2015;261:181–189. doi: 10.1016/j.jmr.2015.10.017 26619073

42. Demetriou L, Kowalczyk OS, Tyson G, Bello T, Newbould RD, Wall MB. A comprehensive evaluation of increasing temporal resolution with multiband-accelerated protocols and effects on statistical outcome measures in fMRI. NeuroImage. 2018;176:404–416. doi: 10.1016/j.neuroimage.2018.05.011 29738911

43. Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ. Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping. 1994;2(4):189–210. doi: 10.1002/hbm.460020402

44. Andersson JLR, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage. 2003;20(2):870–888. doi: 10.1016/S1053-8119(03)00336-7 14568458

45. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE transactions on medical imaging. 2001;20(1):45–57. doi: 10.1109/42.906424 11293691

46. Bollmann S, Puckett AM, Cunnington R, Barth M. Serial correlations in single-subject fMRI with sub-second TR. NeuroImage. 2018;166:152–166. doi: 10.1016/j.neuroimage.2017.10.043 29066396

47. Behzadi Y, Restom K, Liau J, Liu TT. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage. 2007;37(1):90–101. doi: 10.1016/j.neuroimage.2007.04.042 17560126

48. Uğurbil K, Xu J, Auerbach EJ, Moeller S, Vu AT, Duarte-Carvajalino JM, et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. NeuroImage. 2013;80:80–104. doi: 10.1016/j.neuroimage.2013.05.012 23702417

49. Kopanoglu E, Deeley Plumley A, Erturk M, Deniz C, Wise R. Implications of within-scan patient head motion on B1+ homogeneity and Specific Absorption Rate at 7T. In: Proceedings of the 27th annual ISMRM meeting; 2019. p. 4686.

50. Wu X, Auerbach EJ, Vu AT, Moeller S, Van de Moortele PF, Yacoub E, et al. Human Connectome Project-style resting-state functional MRI at 7 Tesla using radiofrequency parallel transmission. NeuroImage. 2019;184:396–408. doi: 10.1016/j.neuroimage.2018.09.038 30237033

51. Krüger G, Glover GH. Physiological noise in oxygenation-sensitive magnetic resonance imaging: Physiological Noise in MRI. Magnetic Resonance in Medicine. 2001;46(4):631–637.

52. Todd N, Moeller S, Auerbach EJ, Yacoub E, Flandin G, Weiskopf N. Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts. NeuroImage. 2016;124:32–42. doi: 10.1016/j.neuroimage.2015.08.056 26341029

53. Chen JE, Polimeni JR, Bollmann S, Glover GH. On the analysis of rapidly sampled fMRI data. NeuroImage. 2019;188:807–820. doi: 10.1016/j.neuroimage.2019.02.008 30735828

54. Risk BB, Kociuba MC, Rowe DB. Impacts of simultaneous multislice acquisition on sensitivity and specificity in fMRI. NeuroImage. 2018;172:538–553. doi: 10.1016/j.neuroimage.2018.01.078 29408461


Článok vyšiel v časopise

PLOS One


2019 Číslo 11
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#