# Multi-voxel spectral editing at 3T

> **NIH NIH R01** · JOHNS HOPKINS UNIVERSITY · 2021 · $404,381

## Abstract

PROJECT SUMMARY
 Edited magnetic resonance spectroscopy allows the non-invasive detection of low-concentration
metabolites within the brain, free from overlap from other, more abundant compounds. Until recently, spectral-
editing techniques have generally focused on measuring individual metabolites in one brain region at a time
(for instance, the well-known ‘MEGA-PRESS’ method). However, this is a time-consuming approach which
severely limits clinical applicability when multiple metabolites and/or brain regions are involved. The main goal
of this proposal is therefore to develop and establish the reproducibility edited experiments that can detect
multiple edited molecules in multiple brain regions, all within a single acquisition.
 We will develop multi-voxel localization techniques to combine with our recently developed multi-metabolite
editing methods, including the Hadamard-encoded ‘HERMES’ approach as well as the new ‘HERCULES’
method which allows for up to 13 metabolites to be simultaneously determined. For applications that may
require a limited number of voxels to be acquired, we will developed multi-band excitation and parallel
acquisition ‘PRIAM’ methods in combination with HERMES and HERCULES. For applications that require
greater spatial coverage and/or the ability to map out the spatial distribution of metabolite levels, edited MR
spectroscopic imaging (MRSI) techniques will be developed for use in combination with HERMES and
HERCULES editing. Since edited-MRSI is very sensitive to head motion and other instabilities, acquisition and
processing methods will be implemented for robust, motion-insensitive edited-MRSI.
 Rigor and reproducibility will be carefully assessed; newly developed methodologies will be validated by
comparison to conventional measurements in the same subjects. Expected improvements in temporal signal-
to-noise ratios and reproducibility will also be measured. The resulting data acquisition and analysis tools will
be made available for dissemination to the clinical neuroscience and neuroimaging communities.

## Key facts

- **NIH application ID:** 10136597
- **Project number:** 5R01EB028259-02
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** PETER B BARKER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $404,381
- **Award type:** 5
- **Project period:** 2020-04-15 → 2024-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10136597

## Citation

> US National Institutes of Health, RePORTER application 10136597, Multi-voxel spectral editing at 3T (5R01EB028259-02). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10136597. Licensed CC0.

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