Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 336

The DOI matches its Crossref record.

Human positron emission tomographic [18F]Fluorodopa studies correlate with dopamine cell counts and levels

Snow, B. J., Tooyama, I., McGeer, E. G., Yamada, T., Calne, D. B., Takahashi, H., Kimura, H.·1993·Annals of Neurology

Abstract

Postmortem counts of dopaminergic cell densities in the substantia nigra (5 subjects) and striatal levels of dopamine (DA) and its metabolites (6 subjects) were determined on 1 parkinsonian (PD), 3 progressive supranuclear palsy (PSP), 1 amyotrophic lateral sclerosis, and 1 Alzheimer's case who had been positron emission tomography scanned with 6‐[18 F]fluorodopa during life. [18 F]Fluorodopa uptake rate constants, which presumably depend on the number of functioning striatal DA terminals, were strictly proportional to cell densities (significant correlation with zero intercept) and also correlated significantly with striatal DA levels but with an intercept indicating greater losses of DA than of terminals in PSP and PD. Postmortem data on 6 PD, 1 PSP, and 9 neuronally normal controls substantiated the significant correlation between cell counts and DA levels, with the latter being the more depressed in pathological cases.

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 · 10.1002/ana.410340304

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 336

Metadata

Authors
Snow, B. J., Tooyama, I., McGeer, E. G., Yamada, T., Calne, D. B., Takahashi, H., & Kimura, H.
Venue
Annals of Neurology
Publisher
Wiley
Published
1993-09
Volume
34
Issue
3
Pages
324-330
ISSN
  • 0364-5134 (ISSN-L)
  • 1531-8249
OpenAlex
W2066925525
Cited by
336
References
0
FWCI
9.46
Type
journal article
Language
en
Open access
closed

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: Human positron emission tomographic [18F]Fluorodopa studies correlate with dopamine cell counts and levels. https://app.cochat.ai/papers/10.1002/ana.410340304
The paper
Snow, B. J., Tooyama, I., McGeer, E. G., Yamada, T., Calne, D. B., Takahashi, H., & Kimura, H. (1993). Human positron emission tomographic [18F]Fluorodopa studies correlate with dopamine cell counts and levels. Annals of Neurology. https://doi.org/10.1002/ana.410340304

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.