Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Proteomics01:33

Proteomics

7.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.2K
Proton (¹H) NMR: Chemical Shift01:07

Proton (¹H) NMR: Chemical Shift

1.5K
Organic molecules primarily contain carbon and hydrogen atoms. While all the hydrogen isotopes are NMR-active, protium or hydrogen-1 is the most abundant. It has a significant energy separation between its nuclear spin states due to its large gyromagnetic ratio. As per Boltzmann's distribution, an increase in the energy separation implies a greater excess population of nuclei available for excitation, resulting in a strong NMR absorption signal.
Absorption signals of all the protium nuclei...
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Consensus recommendations for clinical functional MRI applied to language mapping.

Aperture neuro·2026
Same author

Supporting Radiology Resident Education and Clinical Decision-Making With Large Language Models: Comparative Study of Reasoning Models DeepSeek-R1 and ChatGPT-o1.

JMIR AI·2026
Same author

Guidance for the Diagnosis and Treatment of Rare Embryonal and Sarcomatous Brain Tumors-a Report from the Central Nervous System-International Registry for Rare Embryonal and Sarcomatous Tumors German Society of Pediatric Oncology and Hematology Study Group.

Klinische Padiatrie·2026
Same author

The modified Hijdra scale for prediction of delayed cerebral infarcts after subarachnoid hemorrhage.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.

Neuroradiology·2026
Same author

Expert Panel Consensus Guidelines of the German Society of Neuroradiology on the Use of Magnetic Resonance Imaging in the Diagnosis and Monitoring of Multiple Sclerosis.

Clinical neuroradiology·2026

Related Experiment Video

Updated: Jun 4, 2025

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
09:01

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts

Published on: September 21, 2014

14.7K

Macromolecule Modelling for Improved Metabolite Quantification Using Short Echo Time Brain 1H-MRS at 3 T and 7 T: The

Andrea Dell'Orco1,2,3,4, Layla Tabea Riemann2,5, Stephen L R Ellison6

  • 1Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Institute of Neuroradiology, Berlin, Germany.

NMR in Biomedicine
|December 19, 2024
PubMed
Summary

A new method, the parametrized macromolecules quantification model (PRaMM), improves brain metabolite quantification in magnetic resonance spectroscopy (MRS). PRaMM enhances accuracy and reliability at both 3T and 7T field strengths.

Keywords:
1H‐MRS7 TeslaLCModelbrain MRSmacromoleculeneurochemistryshort‐TE

More Related Videos

Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation
09:26

Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation

Published on: February 8, 2019

8.6K
Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
11:49

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

Published on: August 28, 2021

4.4K

Related Experiment Videos

Last Updated: Jun 4, 2025

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
09:01

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts

Published on: September 21, 2014

14.7K
Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation
09:26

Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation

Published on: February 8, 2019

8.6K
Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
11:49

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

Published on: August 28, 2021

4.4K

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Magnetic Resonance Spectroscopy (MRS)

Background:

  • Accurate metabolite quantification in brain 1H MRS is crucial for clinical applications.
  • Macromolecular signals in MRS spectra can interfere with metabolite quantification, reducing reliability.
  • Existing methods for macromolecule modeling have limitations in accuracy and reproducibility.

Purpose of the Study:

  • To develop and validate a novel parametrized macromolecules quantification model (PRaMM) for improved brain 1H MRS metabolite quantification.
  • To assess the performance of PRaMM compared to existing macromolecule modeling techniques.
  • To investigate the impact of PRaMM on the repeatability and reproducibility of metabolite concentration measurements.

Main Methods:

  • Acquisition of full and metabolite-nulled 1H MRS spectra in three brain regions at 3T and 7T from six healthy volunteers.
  • Identification of macromolecular signal contributions and estimation of their intensity ratios from metabolite-nulled spectra.
  • Application of these ratios as soft constraints within the novel PRaMM model for quantification of full spectra.

Main Results:

  • The PRaMM model demonstrated superior performance compared to a single-component macromolecule model and a macromolecule subtraction technique across all investigated brain regions.
  • Fit quality metrics were significantly improved with the PRaMM method (p ≤ 0.0001).
  • Minimally detectable changes were in the range of 0.5-1.9 mM, with percentage coefficients of variation below 10% for most clinically relevant metabolites.

Conclusions:

  • The developed PRaMM model offers improved reliability and accuracy for brain metabolite quantification in 1H MRS at both 3T and 7T.
  • PRaMM provides a robust method for investigating macromolecular background components from a clinical perspective.
  • The model effectively addresses overparameterization concerns, enhancing its clinical utility.