scholarly journals Injuries in Left Corticospinal Tracts, Forceps Major, and Left Superior Longitudinal Fasciculus (Temporal) as the Quality Indicators for Major Depressive Disorder

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ziwei Liu ◽  
Lijun Kang ◽  
Aixia Zhang ◽  
Chunxia Yang ◽  
Min Liu ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Depressive Disorder ◽  
Quality Indicators ◽  
Diffusion Tensor ◽  
Superior Longitudinal Fasciculus ◽  
Major Depressive ◽  
First Degree Relatives ◽  
Corticospinal Tracts ◽  
Anterior Thalamic Radiation

At present, the etiology and pathogenesis of major depressive disorder (MDD) are still not clear. Studies have found that the risk of first-degree relatives of MDD is 2–3 times that of the general population. Diffusion tensor imaging (DTI) has been previously used to explore the pathogenesis of MDD. The purpose of this study is to explore the etiology of MDD by DTI and further to explore the correlation between its clinical characteristics and the structural changes of white matter in the brain. The study included 27 first-episode, drug-naive patients with MDD, 16 first-degree relatives without MDD, and 28 healthy control subjects with no family history of MDD (HC). Results showed that the fractional anisotropy (FA) differences among the three groups were mainly in the left anterior thalamic radiation (LATR), right anterior thalamic radiation (RATR), left corticospinal tracts (LCST), forceps major (FMa), right inferior longitudinal fasciculus (RILF), and left superior longitudinal fasciculus (temporal) (LSLF(T)). Among the 6 sites, LCST, FMa, and LSLF(T) showed significant differences between MDD and First-degree relatives compared to HC. MDD patients had significant emotional symptoms, somatic symptoms, and cognitive impairment. FMa FA was significantly positively correlated with delayed memory score ( r = 0.43 , P = 0.031 ), and RILF FA was significantly negatively correlated with the FSS score ( r = − 0.42 , P = 0.028 ). These results revealed that the white matter characteristics of MDD-susceptible patients were LCST, FMa, and LSLF(T) lesions, all of which may be quality indicators of MDD.

scholarly journals Relationship between white matter integrity and serum cortisol levels in drug-naive patients with major depressive disorder: Diffusion tensor imaging study using tract-based spatial statistics

2016 ◽  
Vol 208 (6) ◽  
pp. 585-590 ◽  
Author(s):  
Xiaodan Liu ◽  
Keita Watanabe ◽  
Shingo Kakeda ◽  
Reiji Yoshimura ◽  
Osamu Abe ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Diffusion Tensor ◽  
Serum Cortisol ◽  
White Matter Integrity ◽  
Uncinate Fasciculus ◽  
Major Depressive ◽  
Drug Naïve ◽  
Cortisol Levels ◽  
Anterior Thalamic Radiation

BackgroundHigher daytime cortisol levels because of a hyperactive hypothalamic–pituitary–adrenal axis have been reported in patients with major depressive disorder (MDD). The elevated glucocorticoids inhibit the proliferation of the oligodendrocytes that are responsible for myelinating the axons of white matter fibre tracts.AimsTo evaluate the relationship between white matter integrity and serum cortisol levels during a first depressive episode in drug-naive patients with MDD (MDD group) using a tract-based spatial statistics (TBSS) method.MethodThe MDD group (n = 29) and a healthy control group (n = 47) underwent diffusion tensor imaging (DTI) scans and an analysis was conducted using TBSS. Morning blood samples were obtained from both groups for cortisol measurement.ResultsCompared with the controls, the MDD group had significantly reduced fractional anisotropy values (P<0.05, family-wise error (FWE)-corrected) in the inferior fronto-occipital fasciculus, uncinate fasciculus and anterior thalamic radiation. The fractional anisotropy values of the inferior fronto-occipital fasciculus, uncinate fasciculus and anterior thalamic radiation had significantly negative correlations with the serum cortisol levels in the MDD group (P<0.05, FWE-corrected).ConclusionsOur findings indicate that the elevated cortisol levels in the MDD group may injure the white matter integrity in the frontal–subcortical and frontal–limbic circuits.

scholarly journals Replicable association between human cytomegalovirus infection and reduced white matter fractional anisotropy in major depressive disorder

2021 ◽  
Author(s):  
Haixia Zheng ◽  
◽  
Maurizio Bergamino ◽  
Bart N. Ford ◽  
Rayus Kuplicki ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Depressive Disorder ◽  
Fractional Anisotropy ◽  
Human Cytomegalovirus ◽  
Hcmv Infection ◽  
Diffusion Tensor ◽  
Major Depressive ◽  
Replication Sample ◽  
Discovery Sample

AbstractMajor depressive disorder (MDD) is associated with reductions in white matter microstructural integrity as measured by fractional anisotropy (FA), an index derived from diffusion tensor imaging (DTI). The neurotropic herpesvirus, human cytomegalovirus (HCMV), is a major cause of white matter pathology in immunosuppressed populations but its relationship with FA has never been tested in MDD despite the presence of inflammation and weakened antiviral immunity in a subset of depressed patients. We tested the relationship between FA and HCMV infection in two independent samples consisting of 176 individuals with MDD and 44 healthy controls (HC) (Discovery sample) and 88 participants with MDD and 48 HCs (Replication sample). Equal numbers of HCMV positive (HCMV+) and HCMV negative (HCMV−) groups within each sample were balanced on ten different clinical/demographic variables using propensity score matching. Anti-HCMV IgG antibodies were measured using a solid-phase ELISA. In the Discovery sample, significantly lower FA was observed in the right inferior fronto-occipital fasciculus (IFOF) in HCMV+ participants with MDD compared to HCMV− participants with MDD (cluster size 1316 mm3; pFWE < 0.05, d = −0.58). This association was confirmed in the replication sample by extracting the mean FA from this exact cluster and applying the identical statistical model (p < 0.05, d = −0.45). There was no significant effect of diagnosis or interaction between diagnosis and HCMV in either sample. The effect of chronic HCMV infection on white matter integrity may—in at-risk individuals—contribute to the psychopathology of depression. These findings may provide a novel target of intervention for a subgroup of patients with MDD.

scholarly journals Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder

2016 ◽  
Author(s):  
David M Schnyer ◽  
Peter C. Clasen ◽  
Christopher Gonzalez ◽  
Christopher G Beevers
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Depressive Disorder ◽  
Right Hemisphere ◽  
Diffusion Tensor ◽  
Support Vector ◽  
Healthy Controls ◽  
Major Depressive ◽  
Predictive Information ◽  
Brain White Matter

AbstractUsing MRI to diagnose mental disorders has been a long-term goal. Despite this, the vast majority of prior neuroimaging work has been descriptive rather than predictive. The current study applies support vector machine (SVM) learning to MRI measures of brain white matter to classify adults with Major Depressive Disorder (MDD) and healthy controls. In a precisely matched group of individuals with MDD (n = 25) and healthy controls (n = 25), SVM learning accurately (70%) classified patients and controls across a brain map of white matter fractional anisotropy values (FA). The study revealed three main findings: 1) SVM applied to DTI derived FA maps can accurately classify MDD vs. healthy controls; 2) prediction is strongest when only right hemisphere white matter is examined; and 3) removing FA values from a region identified by univariate contrast as significantly different between MDD and healthy controls does not change the SVM accuracy. These results indicate that SVM learning applied to neuroimaging data can classify the presence versus absence of MDD and that predictive information is distributed across brain networks rather than being highly localized. Finally, MDD group differences revealed through typical univariate contrasts do not necessarily reveal patterns that provide accurate predictive information.

What make suicide depressions different from non-suicide ones: A diffusion tensor imaging study

2017 ◽  
Vol 41 (S1) ◽  
pp. S351-S351
Author(s):  
H. Zhang ◽  
Z. Jia
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Suicidal Ideation ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Major Depressive ◽  
Significant Difference ◽  
Depressive Patients

IntroductionDepression is a common psychiatric disorder affecting many people globally, and the worst outcome is suicide. But its neurobiology is hardly understood.ObjectivesTo use DTI to characterize abnormalities of white matter (WM) integrity in major depressive disorder patients with suicide attempts or suicidal ideation.AimsPresent study aimed to give a more complete profile for the association of cerebral WM abnormalities with suicidal behavior in major depressive disorder patients by quantifying the suicidal ideation and behavior severity.MethodsThirteen depressive patients with suicide attempts (SA), 14 depressive patients with suicidal ideation but no suicide attempts (SI), 13 depressive patients without suicidal ideation or suicide attempts (NSD) and 40 healthy controls (HC) received MRI scans on a 3 T magnet. Whole brain voxel-based analysis of FA based on DTI was performed among the four groups using a threshold of P < 0.05 with FWE correction. FA values were extracted by Marsbar software to quantify the changes.ResultsThe four groups had significant differences of FA in the in the left splenium of corpus callosum (peak Z = 5.36 at −14, −36, 22). Quantify comparison revealed that SA had significant decreased FA value than SI, NSD, and HC. There was no significant difference among the other three groups, although there was a trend that SI and NSD had lower FA values than HC in this region.ConclusionsDepression and suicide are associated with microstructure abnormalities of the white matter and patients with suicide attempts may have severe cerebral alteration.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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