Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging

There is an urgent need for quantitative magnetic resonance approaches for assessing brain development, as well as for studying the effects of drugs on neural tissue inflammation. Aviv Mezer and colleagues have developed a neuroimaging method for the quantification of local tissue volume and tissue-...

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Vydáno v:	Nature medicine Ročník 19; číslo 12; s. 1667 - 1672
Hlavní autoři:	Mezer, Aviv, Yeatman, Jason D, Stikov, Nikola, Kay, Kendrick N, Cho, Nam-Joon, Dougherty, Robert F, Perry, Michael L, Parvizi, Josef, Hua, Le H, Butts-Pauly, Kim, Wandell, Brian A
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Nature Publishing Group US 01.12.2013 Nature Publishing Group
Témata:	631/1647/245/1628 631/378/2606/1666 692/53/2421 692/698/1688/64 Adult Anatomy Autoimmune diseases Biomedicine Brain Brain - diagnostic imaging Brain - pathology Brain Mapping - methods Cancer Research Case-Control Studies Cognition & reasoning Female Humans Image Processing, Computer-Assisted - methods Infectious Diseases Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical examination Metabolic Diseases Methods Molecular Medicine Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - pathology Neuroimaging Neurosciences NMR Nuclear magnetic resonance Organ Size Physiological aspects Radiography Reproducibility of Results Studies technical-report Tissues Validation Studies as Topic United States
ISSN:	1078-8956, 1546-170X, 1546-170X
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Abstract	There is an urgent need for quantitative magnetic resonance approaches for assessing brain development, as well as for studying the effects of drugs on neural tissue inflammation. Aviv Mezer and colleagues have developed a neuroimaging method for the quantification of local tissue volume and tissue-surface interaction, producing reliable quantitative measurements across a range of scanners. They apply their method to both the healthy brain and individuals with relapsing-remitting multiple sclerosis. Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent quantitative estimate of MTV can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second, we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition.
AbstractList	Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent quantitative estimate of MTV can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second, we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition. Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent quantitative estimate of MTV can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second, we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition.Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent quantitative estimate of MTV can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second, we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition. There is an urgent need for quantitative magnetic resonance approaches for assessing brain development, as well as for studying the effects of drugs on neural tissue inflammation. Aviv Mezer and colleagues have developed a neuroimaging method for the quantification of local tissue volume and tissue-surface interaction, producing reliable quantitative measurements across a range of scanners. They apply their method to both the healthy brain and individuals with relapsing-remitting multiple sclerosis. Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent quantitative estimate of MTV can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second, we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition.
Audience	Academic
Author	Mezer, Aviv Dougherty, Robert F Perry, Michael L Butts-Pauly, Kim Kay, Kendrick N Cho, Nam-Joon Hua, Le H Yeatman, Jason D Parvizi, Josef Wandell, Brian A Stikov, Nikola
Author_xml	– sequence: 1 givenname: Aviv surname: Mezer fullname: Mezer, Aviv email: avivmezer@gmail.com organization: Department of Psychology, Stanford University – sequence: 2 givenname: Jason D surname: Yeatman fullname: Yeatman, Jason D organization: Department of Psychology, Stanford University – sequence: 3 givenname: Nikola surname: Stikov fullname: Stikov, Nikola organization: Montreal Neurological Institute, McGill University – sequence: 4 givenname: Kendrick N surname: Kay fullname: Kay, Kendrick N organization: Department of Psychology, Stanford University – sequence: 5 givenname: Nam-Joon surname: Cho fullname: Cho, Nam-Joon organization: Department of Chemical Engineering, Stanford University, School of Materials Science and Engineering, Nanyang Technological University – sequence: 6 givenname: Robert F surname: Dougherty fullname: Dougherty, Robert F organization: Center for Cognitive and Neurobiological Imaging, Stanford University – sequence: 7 givenname: Michael L surname: Perry fullname: Perry, Michael L organization: Department of Psychology, Stanford University – sequence: 8 givenname: Josef surname: Parvizi fullname: Parvizi, Josef organization: Department of Neurology and Neurological Sciences, Stanford University – sequence: 9 givenname: Le H surname: Hua fullname: Hua, Le H organization: Department of Neurology and Neurological Sciences, Stanford University – sequence: 10 givenname: Kim surname: Butts-Pauly fullname: Butts-Pauly, Kim organization: Department of Radiology, Stanford University – sequence: 11 givenname: Brian A surname: Wandell fullname: Wandell, Brian A organization: Department of Psychology, Stanford University, Center for Cognitive and Neurobiological Imaging, Stanford University
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/24185694$$D View this record in MEDLINE/PubMed
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References	GogtayNDynamic mapping of human cortical development during childhood through early adulthoodProc. Natl. Acad. Sci. USA2004101817481791:CAS:528:DC%2BD2cXkslCit7c%3D15148381419576 SigalovskyISFischlBMelcherJRMapping an intrinsic MR property of gray matter in auditory cortex of living humans: a possible marker for primary cortex and hemispheric differencesNeuroimage2006321524153716806989 NortonWTAutilioLAThe lipid composition of purified bovine brain myelinJ. Neurochem.1966132132221:CAS:528:DyaF28XhtVOnu7k%3D5937889 UlrichASWattsAMolecular response of the lipid headgroup to bilayer hydration monitored by 2H-NMRBiophys. J.199466144114491:CAS:528:DyaK2cXkslKlsbg%3D80611931275864 LauleCMagnetic resonance imaging of myelinNeurotherapeutics200744604841:CAS:528:DC%2BD2sXps1SgsL4%3D175997127479725 MayAExperience-dependent structural plasticity in the adult human brainTrends Cogn. 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References_xml	– reference: GelmanNEwingJRGorellJMSpicklerEMSolomonEGInterregional variation of longitudinal relaxation rates in human brain at 3.0 T: relation to estimated iron and water contentsMagn. Reson. Med.20014571791:STN:280:DC%2BD3M7gtFShsQ%3D%3D11146488 – reference: BarazanyDBasserPJAssafYIn vivo measurement of axon diameter distribution in the corpus callosum of rat brainBrain200913212101220194037882677796 – reference: DoesMDGoreJCCompartmental study of T(1) and T(2) in rat brain and trigeminal nerve in vivoMagn. Reson. Med.20024727428311810670 – reference: DaleAMFischlBSerenoMICortical surface-based analysis. I. Segmentation and surface reconstructionNeuroimage199991791941:STN:280:DyaK1M7jt1Gisg%3D%3D9931268 – reference: AshburnerJFristonKJVoxel-based morphometry–the methodsNeuroimage2000118058211:STN:280:DC%2BD3cvgt1Chug%3D%3D10860804 – reference: Loosley-MillmanMERandRPParsegianVAEffects of monovalent ion binding and screening on measured electrostatic forces between charged phospholipid bilayersBiophys. J.1982402212321:CAS:528:DyaL3sXkvFSruw%3D%3D71833361328998 – reference: ThomasCBakerCIRemodeling human cortex through training: comment on MayTrends Cogn. Sci.201216969722209598 – reference: PausTGrowth of white matter in the adolescent brain: myelin or axon?Brain Cogn.201072263519595493 – reference: BarralJKA robust methodology for in vivo T1 mappingMagn. Reson. Med.20106410571067205645972962940 – reference: AlexanderALCharacterization of cerebral white matter properties using quantitative magnetic resonance imaging atainsBrain Connect.20111423426224329023360545 – reference: UlrichASWattsAMolecular response of the lipid headgroup to bilayer hydration monitored by 2H-NMRBiophys. J.199466144114491:CAS:528:DyaK2cXkslKlsbg%3D80611931275864 – reference: FischlBDaleAMMeasuring the thickness of the human cerebral cortex from magnetic resonance imagesProc. Natl. Acad. Sci. USA20009711050110551:CAS:528:DC%2BD3cXnt1ahtrg%3D1098451727146 – reference: BottomleyPAFosterTHArgersingerREPfeiferLMA review of normal tissue hydrogen NMR relaxation times and relaxation mechanisms from 1–100 MHz: dependence on tissue type, NMR frequency, temperature, species, excision, and ageMed. Phys.1984114254481:CAS:528:DyaL2cXlsVOjs70%3D6482839 – reference: NortonWTAutilioLAThe lipid composition of purified bovine brain myelinJ. Neurochem.1966132132221:CAS:528:DyaF28XhtVOnu7k%3D5937889 – reference: BeaulieuCThe basis of anisotropic water diffusion in the nervous system–a technical reviewNMR Biomed.20021543545512489094 – reference: MacKayALMR relaxation in multiple sclerosisNeuroimaging Clin. N. Am.2009191261:STN:280:DC%2BD1M7jslCnsg%3D%3D19064196 – reference: MoriSCrainBJChackoVPvan ZijlPCThree-dimensional tracking of axonal projections in the brain by magnetic resonance imagingAnn. Neurol.1999452652691:STN:280:DyaK1M7kt1Oguw%3D%3D9989633 – reference: PoloniGMinagarAHaackeEMZivadinovRRecent developments in imaging of multiple sclerosisNeurologist20111718520421712664 – reference: YarnykhVLYuanCCross-relaxation imaging reveals detailed anatomy of white matter fiber tracts in the human brainNeuroimage20042340942415325389 – reference: Tofts, P. Quantitative MRI of the Brain Measuring Changes Caused by Disease (John Wiley & Sons, Chichester, West Sussex; Hoboken, NJ, 2003). – reference: MayAExperience-dependent structural plasticity in the adult human brainTrends Cogn. Sci.20111547548221906988 – reference: StikovNBound pool fractions complement diffusion measures to describe white matter micro and macrostructureNeuroimage2011541112112120828622 – reference: NagleJFTheory of the main lipid bilayer phase transitionAnnu. Rev. Phys. 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Snippet	There is an urgent need for quantitative magnetic resonance approaches for assessing brain development, as well as for studying the effects of drugs on neural... Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making...
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SubjectTerms	631/1647/245/1628 631/378/2606/1666 692/53/2421 692/698/1688/64 Adult Anatomy Autoimmune diseases Biomedicine Brain Brain - diagnostic imaging Brain - pathology Brain Mapping - methods Cancer Research Case-Control Studies Cognition & reasoning Female Humans Image Processing, Computer-Assisted - methods Infectious Diseases Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical examination Metabolic Diseases Methods Molecular Medicine Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - pathology Neuroimaging Neurosciences NMR Nuclear magnetic resonance Organ Size Physiological aspects Radiography Reproducibility of Results Studies technical-report Tissues Validation Studies as Topic
Title	Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging
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