scholarly journals COMT Val158Met, but not BDNF Val66Met, is associated with white matter abnormalities of the temporal lobe in patients with first-episode, treatment-naïve major depressive disorder: a diffusion tensor imaging study

2014 ◽  
pp. 1183 ◽  
Author(s):  
Reiji Yoshimura ◽  
Kenji Hayashi ◽  
Jun Nakamura ◽  
Osamu Abe ◽  
Keita Watanabe ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Depressive Disorder ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
First Episode ◽  
Major Depressive ◽  
Comt Val158met ◽  
Diffusion Tensor Imaging Study

scholarly journals Time heals all wounds? A 2-year longitudinal diffusion tensor imaging study in major depressive disorder

2019 ◽  
Vol 44 (6) ◽  
pp. 407-413 ◽  
Author(s):  
Jonathan Repple ◽  
Dario Zaremba ◽  
Susanne Meinert ◽  
Dominik Grotegerd ◽  
Ronny Redlich ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Diffusion Tensor Imaging ◽  
Depressive Disorder ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Longitudinal Diffusion ◽  
Major Depressive ◽  
Diffusion Tensor Imaging Study

scholarly journals Association of brain white matter microstructure with cognitive performance in major depressive disorder and healthy controls: a diffusion-tensor imaging study

2021 ◽  
Author(s):  
Susanne Meinert ◽  
Nico Nowack ◽  
Dominik Grotegerd ◽  
Jonathan Repple ◽  
Nils R. Winter ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Cognitive Performance ◽  
Cognitive Deficits ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Healthy Controls ◽  
Major Depressive ◽  
Diffusion Tensor Imaging Study

AbstractCognitive deficits are central attendant symptoms of major depressive disorder (MDD) with a crucial impact in patients’ everyday life. Thus, it is of particular clinical importance to understand their pathophysiology. The aim of this study was to investigate a possible relationship between brain structure and cognitive performance in MDD patients in a well-characterized sample. N = 1007 participants (NMDD = 482, healthy controls (HC): NHC = 525) were selected from the FOR2107 cohort for this diffusion-tensor imaging study employing tract-based spatial statistics. We conducted a principal component analysis (PCA) to reduce neuropsychological test results, and to discover underlying factors of cognitive performance in MDD patients. We tested the association between fractional anisotropy (FA) and diagnosis (MDD vs. HC) and cognitive performance factors. The PCA yielded a single general cognitive performance factor that differed significantly between MDD patients and HC (P < 0.001). We found a significant main effect of the general cognitive performance factor in FA (Ptfce-FWE = 0.002) in a large bilateral cluster consisting of widespread frontotemporal-association fibers. In MDD patients this effect was independent of medication intake, the presence of comorbid diagnoses, the number of previous hospitalizations, and depressive symptomatology. This study provides robust evidence that white matter disturbances and cognitive performance seem to be associated. This association was independent of diagnosis, though MDD patients show more pronounced deficits and lower FA values in the global white matter fiber structure. This suggests a more general, rather than the depression-specific neurological basis for cognitive deficits.

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