Evidence map›Paper›PMID 41944349›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2026

Receptor subtype distribution from PET occupancy studies: Novel analysis of maximum occupancy images using a selective drug and a non-selective tracer.

Su Jin Kim, Alaaddin Ibrahimy, Cristian C Constantinescu, Jocelyn Hoye, Graham E Searle, Mark Slifstein, Eugenii A Rabiner, Evan D Morris

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Su Jin KimRadiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.ORCID 0000-0003-0179-8301
Alaaddin IbrahimyBiomedical Engineering Department, Yale University, New Haven, CT, USA.ORCID 0000-0003-2358-9260
Cristian C ConstantinescuPerceptive, New Haven, CT, USA.ORCID 0000-0001-5709-9476
Jocelyn HoyeRadiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.
Graham E SearleXing Imaging-A Mitro Company, London, UK.
Mark SlifsteinPET Center, Stony Brook University, Stony Brook, NY, USA.
Eugenii A RabinerPerceptive, New Haven, CT, USA.ORCID 0000-0003-3612-6687
Evan D MorrisRadiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.ORCID 0009-0003-1422-4523

Funding

Validation of Occupancy Images from PET Data. A Novel Endpoint for Drug DiscoveryR01EB032658 · NIBIB · YALE UNIVERSITY · PI MORRIS, EVAN D · 2022 to 2025
$2.4M
NIBIB NIH HHS R01 EB032658
6 · The paper itself

Abstract

The Lassen plot filter (LPF) is a novel quantitative approach for generating voxel-level parametric images of half maximal effective concentration (EC

Indexed as

BrainPositron-Emission TomographyReceptor, Serotonin, 5-HT2AReceptors, SerotoninSerotonin AntagonistsAdultCarbon RadioisotopesFemaleHumansMaleRadiopharmaceuticalsCarbon RadioisotopesRadiopharmaceuticalsReceptor, Serotonin, 5-HT2AReceptors, SerotoninSerotonin AntagonistsBmaxLassen plotODBRparametric imagingSerotonin receptor

Identifiers

PMID41944349
PMCPMC13056799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.