Intravascular BOLD signal characterization of balanced SSFP experiments in human blood at high to ultrahigh fields.

BOLD bSSFP fMRI high to ultrahigh fields human blood intravascular contribution

Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
04 2021
Historique:
received: 02 07 2020
revised: 08 10 2020
accepted: 09 10 2020
pubmed: 4 11 2020
medline: 15 5 2021
entrez: 3 11 2020
Statut: ppublish

Résumé

To investigate the intravascular contribution to the overall balanced SSFP (bSSFP) BOLD effect in human blood at high to ultrahigh field strengths (3 T, 9.4 T, and 14.1 T). Venous blood prepared at two different oxygenation levels (deoxygenated: Y ≈ 71%, oxygenated: Y ≈ 94%) was measured with phase-cycled bSSFP for varying TRs/flip angles at 3 T, 9.4 T, and 14.1 T. The oxygen sensitivity was analyzed by intrinsic MIRACLE (motion-insensitive rapid configuration relaxometry)-R The MIRACLE-R The results indicate that intravascular effects have to be considered to better understand the origin of bSSFP BOLD contrast in functional MRI experiments, especially at short TRs. The MIRACLE-R

Identifiants

pubmed: 33140871
doi: 10.1002/mrm.28575
doi:

Substances chimiques

Oxygen S88TT14065

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2055-2068

Informations de copyright

© 2020 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

Références

Kim SG, Ogawa S. Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals. J Cereb Blood Flow Metab. 2012;32:1188-1206.
van Zijl PC, Eleff SM, Ulatowski JA, et al. Quantitative assessment of blood flow, blood volume and blood oxygenation effects in functional magnetic resonance imaging. Nat Med. 1998;4:159-167.
Lawrence SJD, Formisano E, Muckli L, de Lange FP. Laminar fMRI: applications for cognitive neuroscience. Neuroimage. 2019;197:785-791.
Goense J, Bohraus Y, Logothetis NK. fMRI at high spatial resolution: implications for BOLD-models. Front Comput Neurosci. 2016;10:66.
Bause J, Polimeni JR, Stelzer J, et al. Impact of prospective motion correction, distortion correction methods and large vein bias on the spatial accuracy of cortical laminar fMRI at 9.4 Tesla. Neuroimage. 2020;208:116434.
Scheffler K, Seifritz E, Bilecen D, et al. Detection of BOLD changes by means of a frequency-sensitive trueFISP technique: preliminary results. NMR Biomed. 2001;14:490-496.
Dharmakumar R, Hong J, Brittain JH, Plewes DB, Wright GA. Oxygen-sensitive contrast in blood for steady-state free precession imaging. Magn Reson Med. 2005;53:574-583.
Kim TS, Lee J, Lee JH, Glover GH, Pauly JM. Analysis of the BOLD characteristics in pass-band bSSFP fMRI. Int J Imaging Syst Technol. 2012;22:23-32.
Miller KL. FMRI using balanced steady-state free precession (SSFP). Neuroimage. 2012;62:713-719.
Scheffler K, Ehses P. High-resolution mapping of neuronal activation with balanced SSFP at 9.4 Tesla. Magn Reson Med. 2016;76:163-171.
Arumana JM, Li D, Dharmakumar R. Deriving blood-oxygen-level-dependent contrast in MRI with T2*-weighted, T2-prepared and phase-cycled SSFP methods: theory and experiment. Magn Reson Med. 2008;59:561-570.
Baez-Yanez MG, Ehses P, Mirkes C, Tsai PS, Kleinfeld D, Scheffler K. The impact of vessel size, orientation and intravascular contribution on the neurovascular fingerprint of BOLD bSSFP fMRI. Neuroimage. 2017;163:13-23.
Scheffler K, Heule R, Baez-Yanez MG, Kardatzki B, Lohmann G. The BOLD sensitivity of rapid steady-state sequences. Magn Reson Med. 2019;81:2526-2535.
Bieri O, Scheffler K. Effect of diffusion in inhomogeneous magnetic fields on balanced steady-state free precession. NMR Biomed. 2007;20:1-10.
Thulborn KR, Waterton JC, Matthews PM, Radda GK. Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field. Biochem Biophys Acta. 1982;714:265-270.
Gardener AG, Francis ST, Prior M, Peters A, Gowland PA. Dependence of blood R2 relaxivity on CPMG echo-spacing at 2.35 and 7 T. Magn Reson Med. 2010;64:967-974.
Lu H, Xu F, Grgac K, Liu P, Qin Q, van Zijl P. Calibration and validation of TRUST MRI for the estimation of cerebral blood oxygenation. Magn Reson Med. 2012;67:42-49.
Grgac K, Li W, Huang A, Qin Q, van Zijl PC. Transverse water relaxation in whole blood and erythrocytes at 3T, 7T, 9.4T, 11.7T and 16.4T; determination of intracellular hemoglobin and extracellular albumin relaxivities. Magn Reson Imaging. 2017;38:234-249.
Li W, van Zijl PCM. Quantitative theory for the transverse relaxation time of blood water. NMR Biomed. 2020;33:e4207.
Lee SP, Silva AC, Ugurbil K, Kim SG. Diffusion-weighted spin-echo fMRI at 9.4 T: microvascular/tissue contribution to BOLD signal changes. Magn Reson Med. 1999;42:919-928.
Silvennoinen MJ, Clingman CS, Golay X, Kauppinen RA, van Zijl PC. Comparison of the dependence of blood R2 and R2* on oxygen saturation at 1.5 and 4.7 Tesla. Magn Reson Med. 2003;49:47-60.
Zhao JM, Clingman CS, Narvainen MJ, Kauppinen RA, van Zijl PCM. Oxygenation and Hematocrit dependence of transverse relaxation rates of blood at 3T. Magn Reson Med. 2007;58:592-597.
Nguyen D, Bieri O. Motion-insensitive rapid configuration relaxometry. Magn Reson Med. 2017;78:518-526.
Avdievich NI, Giapitzakis IA, Pfrommer A, Borbath T, Henning A. Combination of surface and “vertical” loop elements improves receive performance of a human head transceiver array at 9.4 T. NMR Biomed. 2018;31:e3878.
Fautz HP, Vogel M, Gross P, Kerr A, Zhu Y. B1 mapping of coil arrays for parallel transmission. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, Canada, 2008. p 1247.
Chung S, Kim D, Breton E, Axel L. Rapid B1+ mapping using a preconditioning RF pulse with TurboFLASH readout. Magn Reson Med. 2010;64:439-446.
Yarnykh VL. Actual flip-angle imaging in the pulsed steady state: a method for rapid three-dimensional mapping of the transmitted radiofrequency field. Magn Reson Med. 2007;57:192-200.
Khajehim M, Nasiraei MA. Investigating the spatial specificity of S2-SSFP fMRI: a Monte Carlo simulation approach. Magn Reson Imaging. 2017;37:282-289.
Uludag K, Muller-Bierl B, Ugurbil K. An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging. Neuroimage. 2009;48:150-165.
Weisskoff RM, Zuo CS, Boxerman JL, Rosen BR. Microscopic susceptibility variation and transverse relaxation: theory and experiment. Magn Reson Med. 1994;31:601-610.
Herscovitch P, Raichle ME. What is the correct value for the brain-Blood partition coefficient for water? J Cerebr Blood F Met. 1985;5:65-69.
Roberts DA, Rizi R, Lenkinski RE, Leigh JS. Magnetic resonance imaging of the brain: blood partition coefficient for water: application to spin-tagging measurement of perfusion. J Magn Reson Imaging. 1996;6:363-366.
Lu HZ, Golay X, van Zijl PCM. Intervoxel heterogeneity of event-related functional magnetic resonance imaging responses as a function of T1 weighting. Neuroimage. 2002;17:943-955.
Pohmann R, Speck O, Scheffler K. Signal-to-noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 Tesla using current receive coil arrays. Magn Reson Med. 2016;75:801-809.
Pfrommer A, Henning A. The ultimate intrinsic signal-to-noise ratio of loop- and dipole-like current patterns in a realistic human head model. Magn Reson Med. 2018;80:2122-2138.
Duong TQ, Yacoub E, Adriany G, Hu XP, Ugurbil K, Kim SG. Microvascular BOLD contribution at 4 and 7 T in the human brain: gradient-echo and spin-echo fMRI with suppression of blood effects. Magn Reson Med. 2003;49:1019-1027.
Jochimsen TH, Norris DG, Mildner T, Moller HE. Quantifying the intra- and extravascular contributions to spin-echo fMRI at 3 T. Magn Reson Med. 2004;52:724-732.
Jin T, Wang P, Tasker M, Zhao F, Kim SG. Source of nonlinearity in echo-time-dependent BOLD fMRI. Magn Reson Med. 2006;55:1281-1290.
Zhang X, Petersen ET, Ghariq E, et al. In vivo blood T1 measurements at 1.5 T, 3 T, and 7 T. Magn Reson Med. 2013;70:1082-1086.
Dobre MC, Ugurbil K, Marjanska M. Determination of blood longitudinal relaxation time (T1) at high magnetic field strengths. Magn Reson Imaging. 2007;25:733-735.
Lin AL, Qin Q, Zhao X, Duong TQ. Blood longitudinal (T1) and transverse (T2) relaxation time constants at 11.7 Tesla. MAGMA. 2012;25:245-249.
Silvennoinen MJ, Kettunen MI, Kauppinen RA. Effects of hematocrit and oxygen saturation level on blood spin-lattice relaxation. Magn Reson Med. 2003;49:568-571.
Lindstrom TR, Koenig SH. Magnetic-field-dependent water proton spin-lattice relaxation rates of hemoglobin solutions and whole-blood. J Magn Reson. 1974;15:344-353.
Lu H, Clingman C, Golay X, van Zijl PC. Determining the longitudinal relaxation time (T1) of blood at 3.0 Tesla. Magn Reson Med. 2004;52:679-682.
Li W, Grgac K, Huang A, Yadav N, Qin Q, van Zijl PC. Quantitative theory for the longitudinal relaxation time of blood water. Magn Reson Med. 2016;76:270-281.
Zur Y, Wood ML, Neuringer LJ. Motion-insensitive, steady-state free precession imaging. Magn Reson Med. 1990;16:444-459.
Ganter C. Steady state of gradient echo sequences with radiofrequency phase cycling: analytical solution, contrast enhancement with partial spoiling. Magn Reson Med. 2006;55:98-107.
Miller KL, Smith SM, Jezzard P, Wiggins GC, Wiggins CJ. Signal and noise characteristics of SSFP FMRI: a comparison with GRE at multiple field strengths. Neuroimage. 2007;37:1227-1236.
Miller KL, Jezzard P. Modeling SSFP functional MRI contrast in the brain. Magn Reson Med. 2008;60:661-673.
Ehses P, Scheffler K. Multiline balanced SSFP for rapid functional imaging at ultrahigh field. Magn Reson Med. 2018;79:994-1000.
Kay K, Jamison KW, Vizioli L, Zhang R, Margalit E, Ugurbil K. A critical assessment of data quality and venous effects in sub-millimeter fMRI. Neuroimage. 2019;189:847-869.
Donahue MJ, Lu H, Jones CK, Edden RA, Pekar JJ, van Zijl PC. Theoretical and experimental investigation of the VASO contrast mechanism. Magn Reson Med. 2006;56:1261-1273.
Shah SM, Mougin OE, Carradus AJ, et al. The z-spectrum from human blood at 7T. Neuroimage. 2018;167:31-40.
Heule R, Deshmane A, Zaiss M, Herz K, Ehses P, Scheffler K. Structure or exchange? On the feasibility of chemical exchange detection with balanced steady-state free precession in tissue-an in vitro study. NMR Biomed. 2020;33:e4200.

Auteurs

Marlon Pérez-Rodas (M)

High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Graduate Training Centre of Neuroscience, IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Tübingen, Germany.

Rolf Pohmann (R)

High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.

Klaus Scheffler (K)

High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany.

Rahel Heule (R)

High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany.

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