The DOI matches its Crossref record.
Positron Emission Tomography: Human Brain Function and Biochemistry
Abstract
Positron emission tomography (PET) is an analytical imaging technique that provides a way of making in vivo measurements of the anatomical distribution and rates of specific biochemical reactions. This ability of PET to measure and image dynamic biochemistry builds a bridge between the basic and clinical neurosciences founded on the commonality of the types of measurements made. Clinical findings with PET in humans are suggesting hypotheses that can be tested rigorously in the basic science laboratory.
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.
Integrity signals
Registry
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.
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
The biopsychosocial approach to chronic pain: Scientific advances and future directions.
Gatchel, R. J., Peng, Y. B., Peters, M. L., Fuchs, P. N., & Turk, D. C. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.4.581 · Cited by 3,392
Functional mapping of the human visual cortex by magnetic resonance imaging
Belliveau, J. W., Kennedy, D. N., McKinstry, R. C., Buchbinder, B. R., Weisskoff, R. M., Cohen, M. S., Vevea, J. M., Brady, T. J., & Rosen, B. R. (1991) · Science · doi:10.1126/science.1948051 · Cited by 1,883
Positron emission tomography study of human brain functional development
Chugani, H. T., Phelps, M. E., & Mazziotta, J. C. (1987) · Annals of Neurology · doi:10.1002/ana.410220408 · Cited by 1,548
Self-citationReduction of Prefrontal Cortex Glucose Metabolism Common to Three Types of Depression
Baxter, L. R. (1989) · Archives of General Psychiatry · doi:10.1001/archpsyc.1989.01810030049007 · Cited by 1,320
Baxter, L. R. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820090009002 · Cited by 1,293
Metadata
- Authors
- Phelps, M. E., & Mazziotta, J. C.
- Venue
- Science
- Published
- 1985-05-17
- Volume
- 228
- Issue
- 4701
- Pages
- 799-809
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2052889056
- Cited by
- 469
- References
- 0
- FWCI
- 52.58
- 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: Positron Emission Tomography: Human Brain Function and Biochemistry. https://app.cochat.ai/papers/10.1126/science.2860723
- The paper
- Phelps, M. E., & Mazziotta, J. C. (1985). Positron Emission Tomography: Human Brain Function and Biochemistry. Science. https://doi.org/10.1126/science.2860723
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.
