Forskning
Udskriv Udskriv
Switch language
Rigshospitalet - en del af Københavns Universitetshospital
Udgivet

Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [11C]DASB PET study

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. The structure of the serotonin system: A PET imaging study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Validity and reliability of extrastriatal [11C]raclopride binding quantification in the living human brain

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Functional neuroimaging of recovery from motor conversion disorder: A case report

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  5. Men with high serotonin 1B receptor binding respond to provocations with heightened amygdala reactivity

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Glucagon-like peptide-1 receptor regulation of basal dopamine transporter activity is species-dependent

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Pharmacological sex hormone manipulation as a risk model for depression

    Publikation: Bidrag til tidsskriftReviewForskningpeer review

  3. Imaging HDACs In Vivo: Cross-Validation of the [11C]Martinostat Radioligand in the Pig Brain

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Dynamic coupling of whole-brain neuronal and neurotransmitter systems

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

Positron Emission Tomography (PET) is an important neuroimaging tool to quantify the distribution of specific molecules in the brain. The quantification is based on a series of individually designed data preprocessing steps (pipeline) and an optimal preprocessing strategy is per definition associated with less noise and improved statistical power, potentially allowing for more valid neurobiological interpretations. In spite of this, it is currently unclear how to design the best preprocessing pipeline and to what extent the choice of each preprocessing step in the pipeline minimizes subject-specific errors. To evaluate the impact of various preprocessing strategies, we systematically examined 384 different pipeline strategies in data from 30 healthy participants scanned twice with the serotonin transporter (5-HTT) radioligand [11C]DASB. Five commonly used preprocessing steps with two to four options were investigated: (1) motion correction (MC) (2) co-registration (3) delineation of volumes of interest (VOI's) (4) partial volume correction (PVC), and (5) kinetic modeling. To quantitatively compare and evaluate the impact of various preprocessing strategies, we used the performance metrics: test-retest bias, within- and between-subject variability, the intraclass-correlation coefficient, and global signal-to-noise ratio. We also performed a power analysis to estimate the required sample size to detect either a 5% or 10% difference in 5-HTT binding as a function of preprocessing pipeline. The results showed a complex downstream dependency between the various preprocessing steps on the performance metrics. The choice of MC had the most profound effect on 5-HTT binding, prior to the effects caused by PVC and kinetic modeling, and the effects differed across VOI's. Notably, we observed a negative bias in 5-HTT binding across test and retest in 98% of pipelines, ranging from 0 to 6% depending on the pipeline. Optimization of the performance metrics revealed a trade-off in within- and between-subject variability at the group-level with opposite effects (i.e. minimization of within-subject variability increased between-subject variability and vice versa). The sample size required to detect a given effect size was also compromised by the preprocessing strategy, resulting in up to 80% increases in sample size needed to detect a 5% difference in 5-HTT binding. This is the first study to systematically investigate and demonstrate the effect of choosing different preprocessing strategies on the outcome of dynamic PET studies. We provide a framework to show how optimal and maximally powered neuroimaging results can be obtained by choosing appropriate preprocessing strategies and we provide recommendations depending on the study design. In addition, the results contribute to a better understanding of methodological uncertainty and variability in preprocessing decisions for future group- and/or longitudinal PET studies.

OriginalsprogEngelsk
TidsskriftNeuroImage
Vol/bind199
Sider (fra-til)466-479
Antal sider14
ISSN1053-8119
DOI
StatusUdgivet - 1 okt. 2019

Bibliografisk note

Copyright © 2019 Elsevier Inc. All rights reserved.

ID: 57817980