Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge

Guidelines for the content and format of PET brain data in publications and archives: A consensus paper

(2020) Gitte M Knudsen et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Variability in the analysis of a single neuroimaging dataset by many teams

(2020) Rotem Botvinik-Nezer et al.   NATURE

Neuroimaging results altered by varying analysis pipelines

(2020) Martin Lindquist   NATURE

False positive rates in positron emission tomography (PET) voxelwise analyses

(2020) Melanie Ganz et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Advances in CNS PET: the state-of-the-art for new imaging targets for pathophysiology and drug development

(2019) Stuart P. McCluskey et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Different preprocessing strategies lead to different conclusions: A [11C]DASB-PET reproducibility study

(2019) Martin Nørgaard et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

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

(2019) Martin Nørgaard et al.   NEUROIMAGE

Cerebral serotonin transporter measurements with [11C]DASB: A review on acquisition and preprocessing across 21 PET centres

(2018) Martin Nørgaard et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Opinion: Is science really facing a reproducibility crisis, and do we need it to?

(2018) Daniele Fanelli   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Modelling science trustworthiness under publish or perish pressure

(2018) David Robert Grimes et al.   Royal Society Open Science

A Unified Framework for Plasma Data Modeling in Dynamic Positron Emission Tomography Studies

(2018) Matteo Tonietto et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Assessment of the impact of modeling axial compression on PET image reconstruction

(2017) Martin A. Belzunce et al.   MEDICAL PHYSICS

A Variational Bayesian inference method for parametric imaging of PET data

(2017) M. Castellaro et al.   NEUROIMAGE

Test-retest reproducibility of quantitative binding measures of [ 11 C]Ro15-4513, a PET ligand for GABA A receptors containing alpha5 subunits

(2017) Colm J. McGinnity et al.   NEUROIMAGE

Transcription initiation complex structures elucidate DNA opening

(2016) C. Plaschka et al.   NATURE

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

(2016) Anders Eklund et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

(2016) Krzysztof J. Gorgolewski et al.   Scientific Data

Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches

(2015) Matteo Tonietto et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Estimating the reproducibility of psychological science

(2015)   SCIENCE

The Simplified Reference Tissue Model: Model Assumption Violations and Their Impact on Binding Potential

(2014) Cristian A Salinas et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Making big data open: data sharing in neuroimaging

(2014) Russell A Poldrack et al.   NATURE NEUROSCIENCE

Test–retest reproducibility of cannabinoid-receptor type 1 availability quantified with the PET ligand [11C]MePPEP

(2014) Daniela A. Riaño Barros et al.   NEUROIMAGE

Reference Region Approaches in PET: a Comparative Study on Multiple Radioligands

(2013) Francesca Zanderigo et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Neural correlates of interspecies perspective taking in the post-mortem Atlantic Salmon: an argument for multiple comparisons correction

(2009) CM Bennett et al.   NEUROIMAGE

PET kinetic analysis: error consideration of quantitative analysis in dynamic studies

(2008) Yoko Ikoma et al.   ANNALS OF NUCLEAR MEDICINE