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 Experiment Videos

High-resolution (1)H chemical shift imaging in the monkey visual cortex.

Christoph Juchem1, Nikos K Logothetis, Josef Pfeuffer

  • 1Max-Planck Institute for Biological Cybernetics, Department Physiology of Cognitive Processes, Tübingen, Germany.

Magnetic Resonance in Medicine
|October 6, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Field-Based Spatial Self-Registration of Multicoil Hardware for B<sub>0</sub> Field Control.

Magnetic resonance in medicine·2026
Same author

Simulation of B<sub>0</sub> magnetic field conditions in the human heart for improved diagnostic MRI.

Zeitschrift fur medizinische Physik·2026
Same author

The consequences of using statistical tests on proxy measurements in place of gold standard measurements: an application to magnetic resonance spectroscopy.

Scientific reports·2025
Same author

Dynamically grading cerebral collateral circulation using 3D multi-inversion time arterial spin labeling in ischemic stroke: a comparison with digital subtraction angiography.

Frontiers in neurology·2025
Same author

A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis.

Frontiers in neuroscience·2025
Same author

Time-resolved mapping of myocardial stiffness using 2D multifrequency spiral MR elastography with and without external vibration.

Magnetic resonance in medicine·2025

Researchers optimized proton magnetic resonance spectroscopy (MRS) to achieve high spatial resolution in monkeys. This advancement allows for detailed metabolic mapping of small brain structures, differentiating gray and white matter with unprecedented accuracy.

Area of Science:

  • Neuroimaging
  • Neurochemistry
  • Magnetic Resonance Imaging

Background:

  • Brain structures with distinct functions are often small, posing challenges for metabolic analysis using conventional in vivo MR spectroscopy.
  • Current spatial resolution of chemical shift imaging (CSI) in humans is limited to centimeters, hindering the study of localized metabolic differences.

Purpose of the Study:

  • To optimize proton (1H) CSI in monkeys.
  • To demonstrate the feasibility of achieving high spatial resolutions for in vivo brain spectroscopy.
  • To enable the segregation of distinct brain tissues based on metabolite concentrations.

Main Methods:

  • Optimization of proton (1H) CSI protocols in a non-human primate model.
  • Acquisition of spectroscopic data at high spatial resolutions (down to 1.4 x 2 x 1.4 mm³).

Related Experiment Videos

  • Analysis of metabolite concentrations, including N-acetylaspartate, glutamate, and creatine.

    • Main Results:

    • Achieved unprecedented spatial resolution in (1)H CSI, enabling the differentiation of gray and white matter in the visual cortex.
    • Metabolite concentration ratios between white and gray matter, and between different metabolites, were consistent with established human brain data.
    • Demonstrated the reliability and consistency of the high-resolution CSI procedure.

    Conclusions:

    • High-resolution (1)H CSI is feasible in monkeys and can resolve metabolically distinct small brain structures.
    • This technique provides a reliable method for in vivo metabolic mapping of the brain at the millimeter scale.
    • The findings support the use of this optimized CSI technique for future neuroscience research requiring detailed metabolic information from specific brain regions.