Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 209

The DOI matches its Crossref record.

Homonuclear 1H double-resonance difference spectroscopy of the rat brain in vivo.

Open access
Rothman, D L, Behar, K L, Hetherington, H P, Shulman, R G·1984·Proceedings of the National Academy of Sciences

Abstract

We have used 1H homonuclear double-resonance difference spectroscopy at 360.13 MHz to resolve specific metabolite resonances in the brains of intact rats. Metabolite resonances resolved include previously obscured proton resonances of alanine, gamma-aminobutyric acid (GABA), glutamate, and taurine. The gamma-aminobutyric acid alpha- and gamma-CH2 proton resonances were observed in the living rat in the difference spectrum obtained upon irradiation of the beta-CH2 proton resonance at 1.91 ppm. A 3-fold increase in the intensity of the alpha- and gamma-CH2 resonances of gamma-aminobutyric acid was observed 30 min after death. The alpha-CH and gamma-CH2 resonances of glutamate were also resolved in vivo by selective irradiation of the beta-CH2 protons to which they are spin-coupled. In addition, this technique was used to observe the beta-CH3 protons of lactate through the intact scalp of a rat. Large lipid signals arising from scalp tissue were eliminated in the difference spectrum, revealing the lactate beta-CH3 resonance.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.81.20.6330

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 209

Metadata

Authors
Rothman, D. L., Behar, K. L., Hetherington, H. P., & Shulman, R. G.
Venue
Proceedings of the National Academy of Sciences
Published
1984-10
Volume
81
Issue
20
Pages
6330-6334
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2031229650
Cited by
209
References
0
FWCI
9.61
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Homonuclear 1H double-resonance difference spectroscopy of the rat brain in vivo. https://app.cochat.ai/papers/10.1073/pnas.81.20.6330
The paper
Rothman, D. L., Behar, K. L., Hetherington, H. P., & Shulman, R. G. (1984). Homonuclear 1H double-resonance difference spectroscopy of the rat brain in vivo. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.81.20.6330

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.