ArticleFrontiers in neurology2018
Noninvasive Relative Quantification of [
Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Preclinical evaluation of [Journal of molecular medicine (Berlin, Germany) · 2025Article
- Development and Preclinical Characterization of [Journal of medicinal chemistry · 2025Article
- Assessing non-invasive quantitative methods for [European journal of nuclear medicine and molecular imaging · 2025Article
- Preclinical evaluation of the novel [European journal of nuclear medicine and molecular imaging · 2024Article
- Accurate image derived input function in [EJNMMI physics · 2023Article
- Isoflurane and ketamine-xylazine modify pharmacokinetics of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Validation, kinetic modeling, and test-retest reproducibility of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- PET Imaging in Preclinical Anti-Aβ Drug Development.Pharmaceutical research · 2022Review
- Reversal of synapse loss in Alzheimer mouse models by targeting mGluR5 to prevent synaptic tagging by C1Q.Science translational medicine · 2022Article
- Longitudinal preclinical evaluation of the novel radioligand [11C]CHDI-626 for PET imaging of mutant huntingtin aggregates in Huntington's disease.European journal of nuclear medicine and molecular imaging · 2022Article
- NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [Scientific reports · 2021Article
- Sapap3 deletion causes dynamic synaptic density abnormalities: a longitudinal [EJNMMI research · 2020Article
- Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling.European journal of nuclear medicine and molecular imaging · 2020Article
- Validation and noninvasive kinetic modeling of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Article
- Elevated Type 1 Metabotropic Glutamate Receptor Availability in a Mouse Model of Huntington's Disease: a Longitudinal PET Study.Molecular neurobiology · 2020Article
- Image-Derived Input Functions for Quantification of AFrontiers in physiology · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Impairment of the metabotropic glutamate receptor 5 (mGluR5) has been implicated with various neurologic disorders. Although mGluR5 density can be quantified with the PET radiotracer [
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Registered trials
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.