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Wei H, Frey AM, Jasanoff A. Molecular fMRI of neurochemical signaling. J Neurosci Methods 2021; 364:109372. [PMID: 34597714 DOI: 10.1016/j.jneumeth.2021.109372] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/23/2021] [Accepted: 09/25/2021] [Indexed: 12/12/2022]
Abstract
Magnetic resonance imaging (MRI) is the most widely applied technique for brain-wide measurement of neural function in humans and animals. In conventional functional MRI (fMRI), brain signaling is detected indirectly, via localized activity-dependent changes in regional blood flow, oxygenation, and volume, to which MRI contrast can be readily sensitized. Although such hemodynamic fMRI methods are powerful tools for analysis of brain activity, they lack specificity for the many molecules and cell types that play functionally distinct roles in neural processing. A suite of techniques collectively known to as "molecular fMRI," addresses this limitation by permitting MRI-based detection of specific molecular processes in deep brain tissue. This review discusses how molecular fMRI is coming to be used in the study of neurochemical dynamics that mediate intercellular communication in the brain. Neurochemical molecular fMRI is a potentially powerful approach for mechanistic analysis of brain-wide function, but the techniques are still in early stages of development. Here we provide an overview of the major advances and results that have been achieved to date, as well as directions for further development.
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Affiliation(s)
- He Wei
- Department of Biological Engineering, Massachusetts Institute of Technology, United States
| | - Abigail M Frey
- Department of Chemical Engineering, Massachusetts Institute of Technology, United States
| | - Alan Jasanoff
- Department of Biological Engineering, Massachusetts Institute of Technology, United States; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, United States; Department of Nuclear Science & Engineering, Massachusetts Institute of Technology, United States.
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2
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Krug JR, van Schadewijk R, Vergeldt FJ, Webb AG, de Groot HJM, Alia A, Van As H, Velders AH. Assessing spatial resolution, acquisition time and signal-to-noise ratio for commercial microimaging systems at 14.1, 17.6 and 22.3 T. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2020; 316:106770. [PMID: 32590308 DOI: 10.1016/j.jmr.2020.106770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 05/27/2020] [Accepted: 06/04/2020] [Indexed: 06/11/2023]
Abstract
This work provides a systematic comparison of the signal-to-noise ratio (SNR), spatial resolution, acquisition time and metabolite limits-of-detection for magnetic resonance microscopy and spectroscopy at three different magnetic field strengths of 14.1 T, 17.6 T and 22.3 T (the highest currently available for imaging), utilizing commercially available hardware. We find an SNR increase of a factor 5.9 going from 14.1 T to 22.3 T using 5 mm radiofrequency (saddle and birdcage) coils, which results in a 24-fold acceleration in acquisition time and deviates from the theoretically expected increase of factor 2.2 due to differences in hardware. This underlines the importance of not only the magnetic field strengths but also hardware optimization. In addition, using a home-built 1.5 mm solenoid coil, we can achieve an isotropic resolution of (5.5 µm)3 over a field-of-view of 1.58 mm × 1.05 mm × 1.05 mm with an SNR of 12:1 using 44 signal averages in 58 h 34 min acquisition time at 22.3 T. In light of these results, we discuss future perspectives for ultra-high field Magnetic Resonance Microscopy and Spectroscopy.
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Affiliation(s)
- Julia R Krug
- Laboratory of BioNanoTechnology, Wageningen University and Research, Wageningen, the Netherlands; Laboratory of Biophysics, Wageningen University and Research, Wageningen, the Netherlands; MAGNEFY, Wageningen University and Research, Wageningen, the Netherlands.
| | - Remco van Schadewijk
- Solid-state NMR, Leiden Institute of Chemistry, Faculty of Science, Leiden University, Leiden, the Netherlands
| | - Frank J Vergeldt
- Laboratory of Biophysics, Wageningen University and Research, Wageningen, the Netherlands; MAGNEFY, Wageningen University and Research, Wageningen, the Netherlands
| | - Andrew G Webb
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden University, Leiden, the Netherlands
| | - Huub J M de Groot
- Solid-state NMR, Leiden Institute of Chemistry, Faculty of Science, Leiden University, Leiden, the Netherlands
| | - A Alia
- Solid-state NMR, Leiden Institute of Chemistry, Faculty of Science, Leiden University, Leiden, the Netherlands; Institute for Medical Physics and Biophysics, Leipzig University, Leipzig, Germany
| | - Henk Van As
- Laboratory of Biophysics, Wageningen University and Research, Wageningen, the Netherlands; MAGNEFY, Wageningen University and Research, Wageningen, the Netherlands
| | - Aldrik H Velders
- Laboratory of BioNanoTechnology, Wageningen University and Research, Wageningen, the Netherlands; MAGNEFY, Wageningen University and Research, Wageningen, the Netherlands.
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Ghosh S, Harvey P, Simon JC, Jasanoff A. Probing the brain with molecular fMRI. Curr Opin Neurobiol 2018; 50:201-210. [PMID: 29649765 DOI: 10.1016/j.conb.2018.03.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 02/12/2018] [Accepted: 03/21/2018] [Indexed: 01/07/2023]
Abstract
One of the greatest challenges of modern neuroscience is to incorporate our growing knowledge of molecular and cellular-scale physiology into integrated, organismic-scale models of brain function in behavior and cognition. Molecular-level functional magnetic resonance imaging (molecular fMRI) is a new technology that can help bridge these scales by mapping defined microscopic phenomena over large, optically inaccessible regions of the living brain. In this review, we explain how MRI-detectable imaging probes can be used to sensitize noninvasive imaging to mechanistically significant components of neural processing. We discuss how a combination of innovative probe design, advanced imaging methods, and strategies for brain delivery can make molecular fMRI an increasingly successful approach for spatiotemporally resolved studies of diverse neural phenomena, perhaps eventually in people.
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Affiliation(s)
- Souparno Ghosh
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Rm. 16-561, Cambridge, MA 02139, United States
| | - Peter Harvey
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Rm. 16-561, Cambridge, MA 02139, United States
| | - Jacob C Simon
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Rm. 16-561, Cambridge, MA 02139, United States
| | - Alan Jasanoff
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Rm. 16-561, Cambridge, MA 02139, United States; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Rm. 16-561, Cambridge, MA 02139, United States; Department of Nuclear Science & Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Rm. 16-561, Cambridge, MA 02139, United States.
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Le Sage D, Arai K, Glenn DR, DeVience SJ, Pham LM, Rahn-Lee L, Lukin MD, Yacoby A, Komeili A, Walsworth RL. Optical magnetic imaging of living cells. Nature 2013; 496:486-9. [PMID: 23619694 PMCID: PMC3641584 DOI: 10.1038/nature12072] [Citation(s) in RCA: 225] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Accepted: 03/14/2013] [Indexed: 11/09/2022]
Abstract
Magnetic imaging is a powerful tool for probing biological and physical systems. However, existing techniques either have poor spatial resolution compared to optical microscopy and are hence not generally applicable to imaging of sub-cellular structure (for example, magnetic resonance imaging), or entail operating conditions that preclude application to living biological samples while providing submicrometre resolution (for example, scanning superconducting quantum interference device microscopy, electron holography and magnetic resonance force microscopy). Here we demonstrate magnetic imaging of living cells (magnetotactic bacteria) under ambient laboratory conditions and with sub-cellular spatial resolution (400 nanometres), using an optically detected magnetic field imaging array consisting of a nanometre-scale layer of nitrogen-vacancy colour centres implanted at the surface of a diamond chip. With the bacteria placed on the diamond surface, we optically probe the nitrogen-vacancy quantum spin states and rapidly reconstruct images of the vector components of the magnetic field created by chains of magnetic nanoparticles (magnetosomes) produced in the bacteria. We also spatially correlate these magnetic field maps with optical images acquired in the same apparatus. Wide-field microscopy allows parallel optical and magnetic imaging of multiple cells in a population with submicrometre resolution and a field of view in excess of 100 micrometres. Scanning electron microscope images of the bacteria confirm that the correlated optical and magnetic images can be used to locate and characterize the magnetosomes in each bacterium. Our results provide a new capability for imaging bio-magnetic structures in living cells under ambient conditions with high spatial resolution, and will enable the mapping of a wide range of magnetic signals within cells and cellular networks.
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Affiliation(s)
- D Le Sage
- Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts 02138, USA
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McDougall MP, Wright SM. A parallel imaging approach to wide-field MR microscopy. Magn Reson Med 2012; 68:850-6. [PMID: 22139858 PMCID: PMC3319189 DOI: 10.1002/mrm.23258] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2011] [Revised: 08/26/2011] [Accepted: 09/24/2011] [Indexed: 11/08/2022]
Abstract
Magnetic resonance microscopy, suggested in the earliest papers on MRI, has always been limited by the low signal-to-noise ratio resulting from the small voxel size. Magnetic resonance microscopy has largely been enabled by the use of microcoils that provide the signal-to-noise ratio improvement required to overcome this limitation. Concomitant with the small coils is a small field-of-view, which limits the use of magnetic resonance microscopy as a histological tool or for imaging large regions in general. This article describes initial results in wide field-of-view magnetic resonance microscopy using a large array of narrow, parallel coils, which provides a signal-to-noise ratio enhancement as well as the ability to use parallel imaging techniques. Comparison images made between a volume coil and the proposed technique demonstrate reductions in imaging time of more than 100 with no loss in signal-to-noise ratio or resolution.
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Affiliation(s)
- Mary Preston McDougall
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, USA.
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Svatoš A. Single-cell metabolomics comes of age: new developments in mass spectrometry profiling and imaging. Anal Chem 2011; 83:5037-44. [DOI: 10.1021/ac2003592] [Citation(s) in RCA: 96] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Aleš Svatoš
- Max Planck Institute for Chemical Ecology (Germany)
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Laistler E, Loewe R, Moser E. Magnetic resonance microimaging of human skin vasculature in vivo at 3 Tesla. Magn Reson Med 2011; 65:1718-23. [PMID: 21254205 DOI: 10.1002/mrm.22743] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2010] [Revised: 11/04/2010] [Accepted: 11/07/2010] [Indexed: 11/07/2022]
Abstract
MRI can be used to investigate human skin microvasculature in vivo, provided adequate spatial resolution. Therefore, the sensitivity of the experiment has to be optimized to achieve sufficient signal-to-noise ratio (SNR) within reasonable measurement time to minimize motion artifacts, improve patient comfort and save costs. In this work, the high sensitivity of a 15 mm surface coil and the signal strength of a 3 Tesla scanner, together with a three-dimensional gradient echo sequence and post-processing have been combined to obtain high SNR. Images of human skin with isotropic spatial resolution of 100 μm were acquired within 10 min and the cutaneous vasculature could be visualized in 3D [Correction made here after initial online publication.], based on three averaged scans. The presented method can be used for diagnosis and, due to its non-invasiveness, treatment monitoring of vascular pathologies in the skin, such as inflammation, vascular malformation, or neoangiogenesis in superficial tumors.
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Affiliation(s)
- Elmar Laistler
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
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