Journal article
Gender-specific structural abnormalities in major depressive disorder revealed by fixel-based analysis
NeuroImage: Clinical, Vol.21, pp.1-8
2019
Abstract
Background: Major depressive disorder (MDD) is a chronic disease with a large global impact. There are currently no clinically useful predictors of treatment outcome, and the development of biomarkers to inform clinical treatment decisions is highly desirable. Methods: In this exploratory study we performed fixel-based analysis of diffusion MRI data from the International Study to Predict Optimized Treatment in Depression with the aim of identifying novel biomarkers at baseline that may relate to diagnosis and outcome to treatment with antidepressant medications. Analyses used MR data from individuals with MDD (n = 221) and healthy controls (n = 67). Results: We show focal, gender-specific differences in the anterior limb of the internal capsule (males) and bilaterally in the genu of the corpus callosum (females) associated with diagnosis. Lower fibre cross-section in the tapetum, the conduit between the right and left hippocampi, were also associated with a decreased probability of remission. Analysis of conventional fractional anisotropy showed scattered abnormalities in the corona radiata, cerebral peduncles and mid-brain which were much lower in total volume compared to fixel-based analysis. Conclusions: Fixel-based analysis appeared to identify different underlying abnormalities than conventional tensor-based metrics, with almost no overlap between significant regions. We show that MDD is associated with gender specific abnormalities in the genu of the corpus callosum (females) and in the anterior limb of the internal capsule (males), as well as gender-independent differences in the tapetum that predict remission. Diffusion MRI may play a key role in future guidance of clinical decision-making for MDD.
Details
- Title
- Gender-specific structural abnormalities in major depressive disorder revealed by fixel-based analysis
- Authors
- M Lyon (Author) - University of SydneyT Welton (Author) - University of SydneyA Varda (Author) - University of SydneyJ J Maller (Author) - University of SydneyKathryn Broadhouse (Author) - University of SydneyM S Korgaonkar (Author) - Westmead Millennium Institute and Sydney Medical SchoolS H Koslow (Author) - University of Miami Miller School of Medicine, United StatesL M Williams (Author) - Westmead Millennium Institute and Sydney Medical SchoolE Gordon (Author) - University of SydneyA J Rush (Author) - Duke-National University of Singapore, SingaporeS M Grieve (Author) - University of Sydney
- Publication details
- NeuroImage: Clinical, Vol.21, pp.1-8
- Publisher
- Elsevier BV
- Date published
- 2019
- DOI
- 10.1016/j.nicl.2019.101668
- ISSN
- 2213-1582; 2213-1582
- Copyright note
- Copyright © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
- Organisation Unit
- School of Science and Engineering - Legacy; School of Health - Nursing; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy
- Language
- English
- Record Identifier
- 99450737602621
- Output Type
- Journal article
- Research Statement
- false
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