Evidence map›Paper›PMID 23963311›Full record

ArticleJournal of visualized experiments : JoVE2013

Creating dynamic images of short-lived dopamine fluctuations with lp-ntPET: dopamine movies of cigarette smoking.

Evan D Morris, Su Jin Kim, Jenna M Sullivan, Shuo Wang, Marc D Normandin, Cristian C Constantinescu, Kelly P Cosgrove

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Evaluation of (-)-[Synapse (New York, N.Y.) · 2018
    Article
  8. News and views on in-vivo imaging of neurotransmission using PET and MRI.The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... · 2017
    Review
  9. Review
  10. Article
  11. Sex differences in the brain's dopamine signature of cigarette smoking.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Article
  12. Article
  13. Imaging nicotine- and amphetamine-induced dopamine release in rhesus monkeys with [(11)C]PHNO vs [(11)C]raclopride PET.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Article
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

7 authors.

Evan D MorrisDiagnostic Radiology, Yale University, USA. evan.morris@yale.edu
Su Jin Kim
Jenna M Sullivan
Shuo Wang
Marc D Normandin
Cristian C Constantinescu
Kelly P Cosgrove

Funding

Yale SCOR on Gender-Sensitive Treatment for Tobacco DependenceP50DA033945 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2012 to 2017
$6.5M
Imaging Genetics in Tobacco SmokersK02DA031750 · NIDA · YALE UNIVERSITY · PI COSGROVE, KELLY P. · 2012 to 2016
$634k
Temporal Response of Dopamine to Alcohol Imaged via PETR21AA015077 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MORRIS, EVAN D · 2006 to 2007
$392k
NIAAA NIH HHS R21 AA015077NIAAA NIH HHS R21 AA15077NIDA NIH HHS K02 DA031750NIDA NIH HHS P50 DA033945
6 · The paper itself

Abstract

We describe experimental and statistical steps for creating dopamine movies of the brain from dynamic PET data. The movies represent minute-to-minute fluctuations of dopamine induced by smoking a cigarette. The smoker is imaged during a natural smoking experience while other possible confounding effects (such as head motion, expectation, novelty, or aversion to smoking repeatedly) are minimized. We present the details of our unique analysis. Conventional methods for PET analysis estimate time-invariant kinetic model parameters which cannot capture short-term fluctuations in neurotransmitter release. Our analysis--yielding a dopamine movie--is based on our work with kinetic models and other decomposition techniques that allow for time-varying parameters. This aspect of the analysis--temporal-variation--is key to our work. Because our model is also linear in parameters, it is practical, computationally, to apply at the voxel level. The analysis technique is comprised of five main steps: pre-processing, modeling, statistical comparison, masking and visualization. Preprocessing is applied to the PET data with a unique 'HYPR' spatial filter that reduces spatial noise but preserves critical temporal information. Modeling identifies the time-varying function that best describes the dopamine effect on 11C-raclopride uptake. The statistical step compares the fit of our (lp-ntPET) model to a conventional model. Masking restricts treatment to those voxels best described by the new model. Visualization maps the dopamine function at each voxel to a color scale and produces a dopamine movie. Interim results and sample dopamine movies of cigarette smoking are presented.

Indexed as

Carbon RadioisotopesCorpus StriatumDopamineDopamine AntagonistsHumansPositron-Emission TomographyRacloprideRadiopharmaceuticalsSmokingStatistics, NonparametricCarbon RadioisotopesDopamineDopamine AntagonistsRacloprideRadiopharmaceuticals

Identifiers

PMID23963311
PMCPMC4046621

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.