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  The efficiency of retrospective artifact correction methods in improving the statistical power of between-group differences in spinal cord DTI

Gergely, D., Freund, P., & Mohammadi, S. (2017). The efficiency of retrospective artifact correction methods in improving the statistical power of between-group differences in spinal cord DTI. NeuroImage, 158, 296-307. doi:10.1016/j.neuroimage.2017.06.051.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-071B-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-AB90-9
Genre: Journal Article

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 Creators:
Gergely, David1, 2, Author
Freund, Patrick1, 3, 4, 5, Author              
Mohammadi, Siawoosh2, 3, 5, Author
Affiliations:
1Balgrist Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland, ou_persistent22              
2Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
3Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
4Department of Brain Repair & Rehabilitation, University College London, United Kingdom, ou_persistent22              
5Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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 Abstract: Diffusion tensor imaging (DTI) is a promising approach for investigating the white matter microstructure of the spinal cord. However, it suffers from severe susceptibility, physiological, and instrumental artifacts present in the cord. Retrospective correction techniques are popular approaches to reduce these artifacts, because they are widely applicable and do not increase scan time. In this paper, we present a novel outlier rejection approach (reliability masking) which is designed to supplement existing correction approaches by excluding irreversibly corrupted and thus unreliable data points from the DTI index maps. Then, we investigate how chains of retrospective correction techniques including (i) registration, (ii) registration and robust fitting, and (iii) registration, robust fitting, and reliability masking affect the statistical power of a previously reported finding of lower fractional anisotropy values in the posterior column and lateral corticospinal tracts in cervical spondylotic myelopathy (CSM) patients. While established post-processing steps had small effect on the statistical power of the clinical finding (slice-wise registration: −0.5%, robust fitting: +0.6%), adding reliability masking to the post-processing chain increased it by 4.7%. Interestingly, reliability masking and registration affected the t-score metric differently: while the gain in statistical power due to reliability masking was mainly driven by decreased variability in both groups, registration slightly increased variability. In conclusion, reliability masking is particularly attractive for neuroscience and clinical research studies, as it increases statistical power by reducing group variability and thus provides a cost-efficient alternative to increasing the group size.

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Language(s): eng - English
 Dates: 2017-06-192017-02-082017-06-212017-06-292017-09
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2017.06.051
PMID: 28669912
PMC: PMC6168644
Other: Epub 2017
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Project name : Mesoscopic characterization of human white-matter: A computational in-vivo MRI framework / MWMI
Grant ID : 658589
Funding program : Horizon 2020
Funding organization : European Commission (EC)

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 158 Sequence Number: - Start / End Page: 296 - 307 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166