An automatic analysis framework for FDOPA PET neuroimaging
File(s)
Author(s)
Type
Journal Article
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.
Date Issued
2023-08-01
Date Acceptance
2023-02-05
Citation
Journal of Cerebral Blood Flow and Metabolism, 2023, 43 (8), pp.1285-1300
ISSN
0271-678X
Publisher
SAGE Publications
Start Page
1285
End Page
1300
Journal / Book Title
Journal of Cerebral Blood Flow and Metabolism
Volume
43
Issue
8
Copyright Statement
© The Author(s) 2023. 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).
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000963631800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
big data repository
BRAIN TRANSFER CONSTANTS
data analysis pipeline
dopamine synthesis
DOPAMINE SYNTHESIS CAPACITY
Endocrinology & Metabolism
FDOPA PET
GENDER-DIFFERENCES
GRAPHICAL EVALUATION
Hematology
INHIBITION
Life Sciences & Biomedicine
neuroimaging biomarker
Neurosciences
Neurosciences & Neurology
POSITRON-EMISSION-TOMOGRAPHY
PSYCHOSIS
RELEASE
SCHIZOPHRENIA
Science & Technology
STRIATUM
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2023-04-07