White matter microstructure in boys with persistent depressive disorder

Vilgis, Veronika; Vance, Alasdair; Cunnington, Ross; Silk, Tim

doi:10.1016/j.jad.2017.06.020

Cited by 15 publications

(16 citation statements)

References 57 publications

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“…A prior DTI study reported abnormalities in whitematter pathways, mostly notably in the CC and SLF, and the increased depressive symptom severity was negatively associated with the decreased white-matter integrity [17]. In addition, microstructure abnormalities of the uncinate, IFOF, and CST have been associated with persistent depressive disorder, which elucidated that altered whitematter microstructure in early onset depression might contribute to the maintenance and recurrence of symptoms [18]. Moreover, abnormalities in the genu of the CC detected in the early onset of major depression could persist into adulthood [29].…”

Section: Discussionmentioning

confidence: 92%

“…FA abnormalities occurring in the fiber tracts of individuals with major depression may indicate microstructural changes underlying the pathophysiology of the disorder. This is supported by DTI studies of patients with depression that report impaired white-matter integrity of fiber tracts that contribute to emotional regulation, including the corpus callosum (CC), superior longitudinal fasciculus (SLF), uncinate fasciculus, anterior corona radiata, cingulum, and inferior fronto-occipital fasciculus (IFOF) [16][17][18][19].…”

Section: Introductionmentioning

confidence: 84%

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White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

et al. 2019

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Identifying data-driven biotypes of major depressive disorder (MDD) has promise for the clarification of diagnostic heterogeneity. However, few studies have focused on white-matter abnormalities for MDD subtyping. This study included 116 patients with MDD and 118 demographically-matched healthy controls assessed by diffusion tensor imaging and neurocognitive evaluation. Hierarchical clustering was applied to the major fiber tracts, in conjunction with tract-based spatial statistics, to reveal white-matter alterations associated with MDD. Clinical and neurocognitive differences were compared between identified subgroups and healthy controls. With fractional anisotropy extracted from 20 fiber tracts, cluster analysis revealed 3 subgroups based on the patterns of abnormalities. Patients in each subgroup versus healthy controls showed a stepwise pattern of white-matter alterations as follows: subgroup 1 (25.9% of patient sample), widespread white-matter disruption; subgroup 2 (43.1% of patient sample), intermediate and more localized abnormalities in aspects of the corpus callosum and left cingulate; and subgroup 3 (31.0% of patient sample), possible mild alterations, but no statistically significant tract disruption after controlling for family-wise error. The neurocognitive impairment in each subgroup accompanied the white-matter alterations: subgroup 1, deficits in sustained attention and delayed memory; subgroup 2, dysfunction in delayed memory; and subgroup 3, no significant deficits. Three subtypes of white-matter abnormality exist in individuals with major depression, those having widespread abnormalities suffering more neurocognitive impairments, which may provide evidence for parsing the heterogeneity of the disorder and help optimize typespecific treatment approaches.

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Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 84%

White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

et al. 2019

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“…The scalar registrations of DTI maps, usually used with TBSS analyses (Keihaninejad et al, 2013 ; Bach et al, 2014 ), suffer from excessive smoothing, poor within-subject anatomical reliability, and poor mismatch of areas with high occurrence of anatomical variation (Keihaninejad et al, 2013 ; Tu et al, 2016 ; Vilgis et al, 2017 ). These drawbacks could compromise the capacity of longitudinal diffusion MRI studies to probe subtle microstructural changes of cerebral tissues.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, the registration of full diffusion-tensor fields, implemented in DTI-TK software (Yushkevich et al, 2008 ) and available at http://dti-tk.sourceforge.net/pmwiki/pmwiki.php?n=Main.HomePage , has been used to register the two-time point diffusion MRI (dMRI) data-sets. This registration procedure has been shown to be the most accurate for within-subject registration of longitudinal images (Keihaninejad et al, 2013 ; Tu et al, 2016 ; Vilgis et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

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Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall

Renaud

Hiba

Dilharreguy

et al. 2020

Front. Aging Neurosci.

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Objective: Extensive research using water-diffusion MRI reported age-related modifications of cerebral White Matter (WM). Moreover, water-diffusion parameter modifications have been frequently associated with cognitive performances in the elderly sample, reinforcing the idea of aging inducing microstructural disconnection of the brain which in turn impacts cognition. However, only few studies really assessed overtime modifications of these parameters and their relationship with episodic memory outcome of elderly. Materials and Methods: One-hundred and thirty elderly subjects without dementia (74.1 ± 4.1 years; 47% female) were included in this study. Diffusion tensor imaging (DTI) was performed at two-time points (3.49 ± 0.68 years apart), allowing the assessment of changes in water-diffusion parameters over time using a specific longitudinal pipeline. White matter hyperintensity (WMH) burden and gray matter (GM) atrophy were also measured on FLAIR and T1-weighted sequences collected during these two MRI sessions. Free and cued verbal recall scores assessed at the last follow-up of the cohort were used as episodic memory outcome. Changes in water-diffusion parameters over time were included in serial linear regression models to predict retrieval or storage ability of elderly. Results: GM atrophy and an increase in mean diffusivity (MD) and WMH load between the two-time points were observed. The increase in MD was significantly correlated with WMH load and the different memory scores. In models accounting for the baseline cognitive score, GM atrophy, or WMH load, MD changes still significantly predict free verbal recall, and not total verbal recall, suggesting the specific association with the retrieval deficit in healthy aging. Conclusion: In elderly, microstructural WM changes are good predictors of lower free verbal recall performances. Moreover, this contribution is not only driven by WMH load

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Material hardship, prefrontal cortex–amygdala structure, and internalizing symptoms in children

Lichtin

Merz

et al. 2020

Developmental Psychobiology

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Material hardship, or difficulty affording basic resources such as food, housing, utilities, and health care, increases children's risk for internalizing problems. The uncinate fasciculus (UNC) and two of the gray matter regions it connects—the orbitofrontal cortex (OFC) and amygdala—may play important roles in the neural mechanisms underlying these associations. We investigated associations among material hardship, UNC microstructure, OFC and amygdala structure, and internalizing symptoms in children. Participants were 5–9‐year‐old children (N = 94, 61% female) from socioeconomically diverse families. Parents completed questionnaires assessing material hardship and children's internalizing symptoms. High‐resolution, T1‐weighted magnetic resonance imaging (n = 51), and diffusion tensor imaging (n = 58) data were acquired. UNC fractional anisotropy (FA), medial OFC surface area, and amygdala gray matter volume were extracted. Greater material hardship was significantly associated with lower UNC FA, smaller amygdala volume, and higher internalizing symptoms in children, after controlling for age, sex, and family income‐to‐needs ratio. Lower UNC FA significantly mediated the association between material hardship and internalizing symptoms in girls but not boys. These findings are consistent with the notion that material hardship may lead to altered white matter microstructure and gray matter structure in neural networks critical to emotion processing and regulation.

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White matter microstructure in boys with persistent depressive disorder

Cited by 15 publications

References 57 publications

White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall

Material hardship, prefrontal cortex–amygdala structure, and internalizing symptoms in children

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