دورية أكاديمية
Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization.
| العنوان: | Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization. |
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| المؤلفون: | de Brito Robalo BM; Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: B.M.deBritoRobalo-2@umcutrecht.nl., de Luca A; Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: A.deLuca-2@umcutrecht.nl., Chen C; Memory, Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: phccclh@nus.edu.sg., Dewenter A; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany. Electronic address: Anna.Dewenter@med.uni-muenchen.de., Duering M; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland. Electronic address: marco.duering@miac.ch., Hilal S; Memory, Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore. Electronic address: saimahilal@nus.edu.sg., Koek HL; Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: H.L.Koek@umcutrecht.nl., Kopczak A; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany. Electronic address: Anna.Kopczak@med.uni-muenchen.de., Lam BYK; Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region. Electronic address: bonnieyklam@cuhk.edu.hk., Leemans A; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: A.Leemans@umcutrecht.nl., Mok V; Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region. Electronic address: vctmok@cuhk.edu.hk., Onkenhout LP; Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: L.P.Onkenhout@umcutrecht.nl., van den Brink H; Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: H.vandenBrink-2@umcutrecht.nl., Biessels GJ; Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: G.J.Biessels@umcutrecht.nl. |
| المصدر: | NeuroImage. Clinical [Neuroimage Clin] 2022; Vol. 36, pp. 103217. Date of Electronic Publication: 2022 Oct 03. |
| نوع المنشور: | Multicenter Study; Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101597070 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2213-1582 (Electronic) Linking ISSN: 22131582 NLM ISO Abbreviation: Neuroimage Clin Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: [Amsterdam] : Elsevier |
| مواضيع طبية MeSH: | Cerebral Small Vessel Diseases* , White Matter*/diagnostic imaging, Humans ; Diffusion Tensor Imaging ; Neural Pathways ; Diffusion Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging |
| مستخلص: | Purpose: To investigate if network thresholding and raw data harmonization improve consistency of diffusion MRI (dMRI)-based brain networks while also increasing precision and sensitivity to detect disease effects in multicentre datasets. Methods: Brain networks were reconstructed from dMRI of five samples with cerebral small vessel disease (SVD; 629 patients, 166 controls), as a clinically relevant exemplar condition for studies on network integrity. We evaluated consistency of network architecture in age-matched controls, by calculating cross-site differences in connection probability and fractional anisotropy (FA). Subsequently we evaluated precision and sensitivity to disease effects by identifying connections with low FA in sporadic SVD patients relative to controls, using more severely affected patients with a pure form of genetically defined SVD as reference. Results: In controls, thresholding and harmonization improved consistency of network architecture, minimizing cross-site differences in connection probability and FA. In patients relative to controls, thresholding improved precision to detect disrupted connections by removing false positive connections (precision, before: 0.09-0.19; after: 0.38-0.70). Before harmonization, sensitivity was low within individual sites, with few connections surviving multiple testing correction (k = 0-25 connections). Harmonization and pooling improved sensitivity (k = 38), while also achieving higher precision when combined with thresholding (0.97). Conclusion: We demonstrated that network consistency, precision and sensitivity to detect disease effects in SVD are improved by thresholding and harmonization. We recommend introducing these techniques to leverage large existing multicentre datasets to better understand the impact of disease on brain networks. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Connectivity; Diffusion MRI; Harmonization: cerebral small vessel disease; Thresholding; White matter |
| تواريخ الأحداث: | Date Created: 20221014 Date Completed: 20221216 Latest Revision: 20221222 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC9668636 |
| DOI: | 10.1016/j.nicl.2022.103217 |
| PMID: | 36240537 |
| قاعدة البيانات: | MEDLINE |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 2213-1582 |
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| DOI: | 10.1016/j.nicl.2022.103217 |