Evidence map›Paper›PMID 29071465›Full record

ReviewBrain imaging and behavior2019

Toward whole-brain dopamine movies: a critical review of PET imaging of dopamine transmission in the striatum and cortex.

Heather Liu, Yasmin Zakiniaeiz, Kelly P Cosgrove, Evan D Morris

Abstract readReview
In one paragraph

Review in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Modeling PET Data Acquired During Nonsteady Conditions: What If Brain Conditions Change During the Scan?Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Review
  2. Design and Synthesis of DMolecules (Basel, Switzerland) · 2023
    Article
  3. Kinetic models for estimating occupancy from single-scan PET displacement studies.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  4. Article
  5. Review
  6. 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

4 authors.

Heather LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Yasmin ZakiniaeizInterdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA.
Kelly P CosgroveInterdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA.
Evan D MorrisDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA. evan.morris@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Neuroimaging Sciences Training ProgramT32DA022975 · NIDA · YALE UNIVERSITY · PI Graeme F Mason, Rajita Sinha · 2007 to 2026
$5.7M
Imaging sex differences in smoking-induced dopamine release via novel PET methodsR01DA038709 · NIDA · YALE UNIVERSITY · PI MORRIS, EVAN D · 2015 to 2020
$3.7M
Imaging Molecular Mechanisms of Tobacco Smoking WithdrawalR01DA038832 · NIDA · YALE UNIVERSITY · PI COSGROVE, KELLY P. · 2016 to 2021
$3.6M
Imaging Genetics in Tobacco SmokersK02DA031750 · NIDA · YALE UNIVERSITY · PI COSGROVE, KELLY P. · 2012 to 2016
$634k
Dynamic Dopamine Images: A New View of the Neurochemistry of SmokingR21DA032791 · NIDA · YALE UNIVERSITY · PI MORRIS, EVAN D · 2012 to 2013
$437k
PET-derived 'Dopamine Movies' of Early-Stage Addiction to Cigarette Smoking: A Pilot StudyR21DA040852 · NIDA · YALE UNIVERSITY · PI MORRIS, EVAN D · 2015 to 2016
$382k
National Science Foundation GRFPNCATS NIH HHS UL1 TR001863NIDA NIH HHS K02 DA031750NIDA NIH HHS R01 DA038709NIDA NIH HHS R01 DA038832NIDA NIH HHS R21 DA032791NIDA NIH HHS R21 DA040852NIDA NIH HHS T32 DA022975NIH HHS 1R01DA038709NIH HHS 1R21DA040852NIH HHS K02DA031750NIH HHS R21DA032791Yale University Robert E. Apafel FellowshipYale University T32NS4122813
6 · The paper itself

Abstract

The mesocorticolimbic dopamine (DA) circuit, comprising the mesolimbic and mesocortical DA pathways, plays a crucial role in reward, cognitive control, and motivation. The positron emission tomography (PET) radiotracer, [C-11]raclopride, has been used widely to image DA receptors and DA changes in the mesolimbic pathway before and after pharmacological and behavioral challenges. In certain circumstances, properties of traditional kinetic models-used to analyze dynamic PET data-are not well-suited to describing the effects of stimulus-induced DA release. To combat model shortcomings, the authors have advanced a suite of models that characterizes PET data in the presence of time-varying DA release. We review select [C-11]raclopride studies of the striatum during cigarette smoking to illustrate the advantages of such models. DA receptors occur in lower density in the cortex than the striatum. This, as well as higher relative background signal, poses a serious challenge to quantitative PET of DA changes in the mesocortical system. Novel high affinity radioligands [F-18]fallypride and [C-11]FLB457 have been used to image mesocortical DA transmission. Models with time-varying terms may also hold the key to optimizing sensitivity to changes in mesocortical DA. As an illustration, we compare recent PET studies of the effect of stress on cortical DA release. Finally, we consider some challenges and strategies for further optimization of sensitivity of PET to stimulus-induced DA changes throughout the whole brain.

Indexed as

BenzamidesCerebral CortexCorpus StriatumDopamineHumansPositron-Emission TomographyRacloprideRadiopharmaceuticalsSex FactorsSmokingBenzamidesDopaminefallyprideRacloprideRadiopharmaceuticalsDopamine releaseKinetic modelingModel limitationsNeuroimagingSmokingStress

Identifiers

PMID29071465
PMCPMC5918462

What OpenQuestion holds

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LicenceCC BY
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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.