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Lee CY, Thedens DR, Lullmann O, Steinbach EJ, Tamplin MR, Petronek MS, Grumbach IM, Allen BG, Harshman LA, Magnotta VA. An Improved Postprocessing Method to Mitigate the Macroscopic Cross-Slice B0 Field Effect on R2* Measurements in the Mouse Brain at 7T. Tomography 2024; 10:1074-1088. [PMID: 39058053 PMCID: PMC11280969 DOI: 10.3390/tomography10070081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/27/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
The MR transverse relaxation rate, R2*, has been widely used to detect iron and myelin content in tissue. However, it is also sensitive to macroscopic B0 inhomogeneities. One approach to correct for the B0 effect is to fit gradient-echo signals with the three-parameter model, a sinc function-weighted monoexponential decay. However, such three-parameter models are subject to increased noise sensitivity. To address this issue, this study presents a two-stage fitting procedure based on the three-parameter model to mitigate the B0 effect and reduce the noise sensitivity of R2* measurement in the mouse brain at 7T. MRI scans were performed on eight healthy mice. The gradient-echo signals were fitted with the two-stage fitting procedure to generate R2corr_t*. The signals were also fitted with the monoexponential and three-parameter models to generate R2nocorr* and R2corr*, respectively. Regions of interest (ROIs), including the corpus callosum, internal capsule, somatosensory cortex, caudo-putamen, thalamus, and lateral ventricle, were selected to evaluate the within-ROI mean and standard deviation (SD) of the R2* measurements. The results showed that the Akaike information criterion of the monoexponential model was significantly reduced by using the three-parameter model in the selected ROIs (p = 0.0039-0.0078). However, the within-ROI SD of R2corr* using the three-parameter model was significantly higher than that of the R2nocorr* in the internal capsule, caudo-putamen, and thalamus regions (p = 0.0039), a consequence partially due to the increased noise sensitivity of the three-parameter model. With the two-stage fitting procedure, the within-ROI SD of R2corr* was significantly reduced by 7.7-30.2% in all ROIs, except for the somatosensory cortex region with a fast in-plane variation of the B0 gradient field (p = 0.0039-0.0078). These results support the utilization of the two-stage fitting procedure to mitigate the B0 effect and reduce noise sensitivity for R2* measurement in the mouse brain.
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Affiliation(s)
- Chu-Yu Lee
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA; (C.-Y.L.); (D.R.T.)
| | - Daniel R. Thedens
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA; (C.-Y.L.); (D.R.T.)
| | - Olivia Lullmann
- Medical Scientist Training Program, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA;
- Stead Family Department of Pediatrics, Division of Pediatric Nephrology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (E.J.S.); (L.A.H.)
| | - Emily J. Steinbach
- Stead Family Department of Pediatrics, Division of Pediatric Nephrology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (E.J.S.); (L.A.H.)
| | - Michelle R. Tamplin
- Division of Cardiovascular Medicine, Abboud Cardiovascular Research Center, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (M.R.T.); (I.M.G.)
- Department of Radiation Oncology, Free Radical and Radiation Biology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (M.S.P.); (B.G.A.)
- Iowa City VA Center for the Prevention and Treatment of Visual Loss, Iowa City, IA 52246, USA
| | - Michael S. Petronek
- Department of Radiation Oncology, Free Radical and Radiation Biology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (M.S.P.); (B.G.A.)
| | - Isabella M. Grumbach
- Division of Cardiovascular Medicine, Abboud Cardiovascular Research Center, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (M.R.T.); (I.M.G.)
- Department of Radiation Oncology, Free Radical and Radiation Biology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (M.S.P.); (B.G.A.)
- Iowa City VA Center for the Prevention and Treatment of Visual Loss, Iowa City, IA 52246, USA
| | - Bryan G. Allen
- Department of Radiation Oncology, Free Radical and Radiation Biology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (M.S.P.); (B.G.A.)
| | - Lyndsay A. Harshman
- Stead Family Department of Pediatrics, Division of Pediatric Nephrology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; (E.J.S.); (L.A.H.)
| | - Vincent A. Magnotta
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA; (C.-Y.L.); (D.R.T.)
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
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Lee H, Fu JF, Gaudet K, Bryant AG, Price JC, Bennett RE, Johnson KA, Hyman BT, Hedden T, Salat DH, Yen YF, Huang SY. Aberrant vascular architecture in the hippocampus correlates with tau burden in mild cognitive impairment and Alzheimer's disease. J Cereb Blood Flow Metab 2024; 44:787-800. [PMID: 38000018 PMCID: PMC11197134 DOI: 10.1177/0271678x231216144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/04/2023] [Accepted: 10/21/2023] [Indexed: 11/26/2023]
Abstract
Cerebrovascular dysfunction is a significant contributor to Alzheimer's disease (AD) progression. AD mouse models show altered capillary morphology, density, and diminished blood flow in areas of tau and beta-amyloid accumulation. The purpose of this study was to examine alterations in vascular structure and their contributions to perfusion deficits in the hippocampus in AD and mild cognitive impairment (MCI). Seven individuals with AD and MCI (1 AD/6 MCI), nine cognitively intact older healthy adults, and seven younger healthy adults underwent pseudo-continuous arterial spin labeling (PCASL) and gradient-echo/spin-echo (GESE) dynamic susceptibility contrast (DSC) MRI. Cerebral blood flow (CBF), cerebral blood volume, relative vessel size index (rVSI), and mean vessel density were calculated from model fitting. Lower CBF from PCASL and SE DSC MRI was observed in the hippocampus of AD/MCI group. rVSI in the hippocampus of the AD/MCI group was larger than that of the two healthy groups (FDR-P = 0.02). No difference in vessel density was detected between the groups. We also explored relationship of tau burden from 18F-flortaucipir positron emission tomography and vascular measures from MRI. Tau burden was associated with larger vessel size and lower CBF in the hippocampus. We postulate that larger vessel size may be associated with vascular alterations in AD/MCI.
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Affiliation(s)
- Hansol Lee
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Jessie Fanglu Fu
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Kyla Gaudet
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Annie G Bryant
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Julie C Price
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Rachel E Bennett
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Keith A Johnson
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Trey Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David H Salat
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Yi-Fen Yen
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Susie Y Huang
- Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
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Neuroimaging of Mouse Models of Alzheimer’s Disease. Biomedicines 2022; 10:biomedicines10020305. [PMID: 35203515 PMCID: PMC8869427 DOI: 10.3390/biomedicines10020305] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/25/2022] [Accepted: 01/25/2022] [Indexed: 12/23/2022] Open
Abstract
Magnetic resonance imaging (MRI) and positron emission tomography (PET) have made great strides in the diagnosis and our understanding of Alzheimer’s Disease (AD). Despite the knowledge gained from human studies, mouse models have and continue to play an important role in deciphering the cellular and molecular evolution of AD. MRI and PET are now being increasingly used to investigate neuroimaging features in mouse models and provide the basis for rapid translation to the clinical setting. Here, we provide an overview of the human MRI and PET imaging landscape as a prelude to an in-depth review of preclinical imaging in mice. A broad range of mouse models recapitulate certain aspects of the human AD, but no single model simulates the human disease spectrum. We focused on the two of the most popular mouse models, the 3xTg-AD and the 5xFAD models, and we summarized all known published MRI and PET imaging data, including contrasting findings. The goal of this review is to provide the reader with broad framework to guide future studies in existing and future mouse models of AD. We also highlight aspects of MRI and PET imaging that could be improved to increase rigor and reproducibility in future imaging studies.
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Ni R. Magnetic Resonance Imaging in Animal Models of Alzheimer's Disease Amyloidosis. Int J Mol Sci 2021; 22:12768. [PMID: 34884573 PMCID: PMC8657987 DOI: 10.3390/ijms222312768] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/18/2021] [Accepted: 11/23/2021] [Indexed: 02/07/2023] Open
Abstract
Amyloid-beta (Aβ) plays an important role in the pathogenesis of Alzheimer's disease. Aberrant Aβ accumulation induces neuroinflammation, cerebrovascular alterations, and synaptic deficits, leading to cognitive impairment. Animal models recapitulating the Aβ pathology, such as transgenic, knock-in mouse and rat models, have facilitated the understanding of disease mechanisms and the development of therapeutics targeting Aβ. There is a rapid advance in high-field MRI in small animals. Versatile high-field magnetic resonance imaging (MRI) sequences, such as diffusion tensor imaging, arterial spin labeling, resting-state functional MRI, anatomical MRI, and MR spectroscopy, as well as contrast agents, have been developed for preclinical imaging in animal models. These tools have enabled high-resolution in vivo structural, functional, and molecular readouts with a whole-brain field of view. MRI has been used to visualize non-invasively the Aβ deposits, synaptic deficits, regional brain atrophy, impairment in white matter integrity, functional connectivity, and cerebrovascular and glymphatic system in animal models of Alzheimer's disease amyloidosis. Many of the readouts are translational toward clinical MRI applications in patients with Alzheimer's disease. In this review, we summarize the recent advances in MRI for visualizing the pathophysiology in amyloidosis animal models. We discuss the outstanding challenges in brain imaging using MRI in small animals and propose future outlook in visualizing Aβ-related alterations in the brains of animal models.
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Affiliation(s)
- Ruiqing Ni
- Institute for Biomedical Engineering, ETH Zurich & University of Zurich, 8093 Zurich, Switzerland;
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
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Oblak AL, Lin PB, Kotredes KP, Pandey RS, Garceau D, Williams HM, Uyar A, O'Rourke R, O'Rourke S, Ingraham C, Bednarczyk D, Belanger M, Cope ZA, Little GJ, Williams SPG, Ash C, Bleckert A, Ragan T, Logsdon BA, Mangravite LM, Sukoff Rizzo SJ, Territo PR, Carter GW, Howell GR, Sasner M, Lamb BT. Comprehensive Evaluation of the 5XFAD Mouse Model for Preclinical Testing Applications: A MODEL-AD Study. Front Aging Neurosci 2021; 13:713726. [PMID: 34366832 PMCID: PMC8346252 DOI: 10.3389/fnagi.2021.713726] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 06/23/2021] [Indexed: 12/14/2022] Open
Abstract
The ability to investigate therapeutic interventions in animal models of neurodegenerative diseases depends on extensive characterization of the model(s) being used. There are numerous models that have been generated to study Alzheimer's disease (AD) and the underlying pathogenesis of the disease. While transgenic models have been instrumental in understanding AD mechanisms and risk factors, they are limited in the degree of characteristics displayed in comparison with AD in humans, and the full spectrum of AD effects has yet to be recapitulated in a single mouse model. The Model Organism Development and Evaluation for Late-Onset Alzheimer's Disease (MODEL-AD) consortium was assembled by the National Institute on Aging (NIA) to develop more robust animal models of AD with increased relevance to human disease, standardize the characterization of AD mouse models, improve preclinical testing in animals, and establish clinically relevant AD biomarkers, among other aims toward enhancing the translational value of AD models in clinical drug design and treatment development. Here we have conducted a detailed characterization of the 5XFAD mouse, including transcriptomics, electroencephalogram, in vivo imaging, biochemical characterization, and behavioral assessments. The data from this study is publicly available through the AD Knowledge Portal.
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Affiliation(s)
- Adrian L Oblak
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.,Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Peter B Lin
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | | | - Ravi S Pandey
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Dylan Garceau
- The Jackson Laboratory, Bar Harbor, ME, United States
| | | | - Asli Uyar
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Rita O'Rourke
- The Jackson Laboratory, Bar Harbor, ME, United States
| | | | - Cynthia Ingraham
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | | | - Melisa Belanger
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Zackary A Cope
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Gabriela J Little
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Carl Ash
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Adam Bleckert
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States
| | - Tim Ragan
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States
| | | | | | | | - Paul R Territo
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | | | | | | | - Bruce T Lamb
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
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