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  Same brain, different look? The impact of scanner, sequence and preprocessing on diffusion imaging outcome parameters

Thieleking, R., Zhang, R., Paerisch, M., Wirkner, K., Anwander, A., Beyer, F., et al. (2021). Same brain, different look? The impact of scanner, sequence and preprocessing on diffusion imaging outcome parameters. Journal of Clinical Medicine, 10(21): 4987. doi:10.3390/jcm10214987.

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jcm-10-04987-v2.pdf (Publisher version), 6MB
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 Creators:
Thieleking, Ronja1, Author              
Zhang, Rui1, Author              
Paerisch, Maria1, Author              
Wirkner, Kerstin2, 3, Author
Anwander, Alfred4, Author              
Beyer, Frauke1, Author              
Villringer, Arno1, 5, 6, Author              
Witte, A. Veronica1, 5, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany, ou_persistent22              
3Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany, ou_persistent22              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
5Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
6Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              

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Free keywords: Diffusion magnetic resonance imaging; White matter; Fractional anisotropy; Multi-centre; Reproducibility; Imaging artefacts; Ageing
 Abstract: In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of high importance in order to detect pathological changes, but developments in MRI hard- and software often outrun extended periods of data acquisition and analysis. This could potentially introduce artefactual changes or mask pathological alterations. However, if and how changes of MRI hardware, scanning protocols or preprocessing software affect complex neuroimaging outcomes from, e.g., diffusion weighted imaging (DWI) remains largely understudied. We therefore compared DWI outcomes and artefact severity of 121 healthy participants (age range 19–54 years) who underwent two matched DWI protocols (Siemens product and Center for Magnetic Resonance Research sequence) at two sites (Siemens 3T Magnetom Verio and Skyrafit). After different preprocessing steps, fractional anisotropy (FA) and mean diffusivity (MD) maps, obtained by tensor fitting, were processed with tract-based spatial statistics (TBSS). Inter-scanner and inter-sequence variability of skeletonised FA values reached up to 5% and differed largely in magnitude and direction across the brain. Skeletonised MD values differed up to 14% between scanners. We here demonstrate that DTI outcome measures strongly depend on imaging site and software, and that these biases vary between brain regions. These regionally inhomogeneous biases may exceed and considerably confound physiological effects such as ageing, highlighting the need to harmonise data acquisition and analysis. Future studies thus need to implement novel strategies to augment neuroimaging data reliability and replicability.

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Language(s): eng - English
 Dates: 2021-10-212021-09-022021-10-232021-10-27
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3390/jcm10214987
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Title: Journal of Clinical Medicine
Source Genre: Journal
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Publ. Info: Basel : MDPI
Pages: - Volume / Issue: 10 (21) Sequence Number: 4987 Start / End Page: - Identifier: ISSN: 2077-0383
CoNE: https://pure.mpg.de/cone/journals/resource/2077-0383