Nordio, Giovanna;
Easmin, Rubaida;
Giacomel, Alessio;
Dipasquale, Ottavia;
Martins, Daniel;
Williams, Steven;
Turkheimer, Federico;
... Talbot, Peter S; + view all
(2023)
An automatic analysis framework for FDOPA PET neuroimaging.
Journal of Cerebral Blood Flow & Metabolism
10.1177/0271678X231168687.
(In press).
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Abstract
In this study we evaluate the performance of a fully automated analytical framework for FDOPA PET neuroimaging data, and its sensitivity to demographic and experimental variables and processing parameters. An instance of XNAT imaging platform was used to store the King's College London institutional brain FDOPA PET imaging archive, alongside individual demographics and clinical information. By re-engineering the historical Matlab-based scripts for FDOPA PET analysis, a fully automated analysis pipeline for imaging processing and data quantification was implemented in Python and integrated in XNAT. The final data repository includes 892 FDOPA PET scans organized from 23 different studies. We found good reproducibility of the data analysis by the automated pipeline (in the striatum for the Kicer: for the controls ICC = 0.71, for the psychotic patients ICC = 0.88). From the demographic and experimental variables assessed, gender was found to most influence striatal dopamine synthesis capacity (F = 10.7, p < 0.001), with women showing greater dopamine synthesis capacity than men. Our automated analysis pipeline represents a valid resourse for standardised and robust quantification of dopamine synthesis capacity using FDOPA PET data. Combining information from different neuroimaging studies has allowed us to test it comprehensively and to validate its replicability and reproducibility performances on a large sample size.
| Type: | Article |
|---|---|
| Title: | An automatic analysis framework for FDOPA PET neuroimaging |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/0271678X231168687 |
| Publisher version: | https://doi.org/10.1177/0271678X231168687 |
| Language: | English |
| Additional information: | © The Author(s) 2023. Creative Commons License (CC BY 4.0) This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
| Keywords: | FDOPA PET, big data repository, data analysis pipeline, dopamine synthesis, neuroimaging biomarker |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry > Mental Health Neuroscience |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10168655 |
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