| Literature DB >> 29651896 |
Martin Nørgaard1,2, Melanie Ganz1,3, Claus Svarer1, Ling Feng1, Masanori Ichise4, Rupert Lanzenberger5, Mark Lubberink6, Ramin V Parsey7, Marios Politis8, Eugenii A Rabiner9,10, Mark Slifstein7, Vesna Sossi11, Tetsuya Suhara4, Peter S Talbot12, Federico Turkheimer13, Stephen C Strother14, Gitte M Knudsen1,2.
Abstract
Positron Emission Tomography (PET) imaging has become a prominent tool to capture the spatiotemporal distribution of neurotransmitters and receptors in the brain. The outcome of a PET study can, however, potentially be obscured by suboptimal and/or inconsistent choices made in complex processing pipelines required to reach a quantitative estimate of radioligand binding. Variations in subject selection, experimental design, data acquisition, preprocessing, and statistical analysis may lead to different outcomes and neurobiological interpretations. We here review the approaches used in 105 original research articles published by 21 different PET centres, using the tracer [11C]DASB for quantification of cerebral serotonin transporter binding, as an exemplary case. We highlight and quantify the impact of the remarkable variety of ways in which researchers are currently conducting their studies, while implicitly expecting generalizable results across research groups. Our review provides evidence that the foundation for a given choice of a preprocessing pipeline seems to be an overlooked aspect in modern PET neuroscience. Furthermore, we believe that a thorough testing of pipeline performance is necessary to produce reproducible research outcomes, avoiding biased results and allowing for better understanding of human brain function.Entities:
Keywords: Positron Emission Tomography; [C]DASB; data sharing; kinetic modeling; preprocessing
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Year: 2018 PMID: 29651896 PMCID: PMC6365604 DOI: 10.1177/0271678X18770107
Source DB: PubMed Journal: J Cereb Blood Flow Metab ISSN: 0271-678X Impact factor: 6.200