BACKGROUND: Depression is commonly conceptualized as corticolimbic dysregulation. Due to insufficient studies in normal aged populations especially subcortical sources of disconnection are unclear in contrast to potentially general parietal white matter (WM) deficits. This may be due to important influences of variable patient characteristics, most importantly episode severity. Especially thalamic disconnections have been functionally revealed, however, their structural correlates have not been distinctly investigated for its highly diverse subnuclei. METHODS: We compared 20 major depressive disorder (MDD) patients with mixed Hamilton depression rating scale (HAMD) severity to matched controls in fractional anisotropy (FA) derived from diffusion tensor imaging (DTI). Robust acquisition of 4 repetitions restricted to twelve directions, also to match the same parameters used by Eckert et al. (2011) who described a preferential architecture of centromedian (CM) and mediodorsal (MD) thalamic connections. Second to whole brain analysis, we tested for group differences within the preferred structural network of these two nuclei using a tract of interest (TOI) approach. RESULTS: Significant FA deficits in a whole brain analysis were only found in right parietal WM (p<0.05, corrected). Effects of severity were found for increasing thalamic FA. Post hoc analysis revealed this effect to be restricted to CM specific tracts. In contrast, we found MD to dorsolateral prefrontal cortex (DLPFC) tracts to be decreased in FA. Unspecific decreases between MD and CM towards amygdala were paralleled by primary amygdala FA reductions. LIMITATIONS: Specificity of the TOI approach and heterogenous sample. CONCLUSIONS: Robust parietal FA reductions, controlled for age effects were found in MDD. Further we revealed subcortical disease state dependency of FA in thalamic tracts, specific to predescribed preferential connections.
BACKGROUND:Depression is commonly conceptualized as corticolimbic dysregulation. Due to insufficient studies in normal aged populations especially subcortical sources of disconnection are unclear in contrast to potentially general parietal white matter (WM) deficits. This may be due to important influences of variable patient characteristics, most importantly episode severity. Especially thalamic disconnections have been functionally revealed, however, their structural correlates have not been distinctly investigated for its highly diverse subnuclei. METHODS: We compared 20 major depressive disorder (MDD) patients with mixed Hamilton depression rating scale (HAMD) severity to matched controls in fractional anisotropy (FA) derived from diffusion tensor imaging (DTI). Robust acquisition of 4 repetitions restricted to twelve directions, also to match the same parameters used by Eckert et al. (2011) who described a preferential architecture of centromedian (CM) and mediodorsal (MD) thalamic connections. Second to whole brain analysis, we tested for group differences within the preferred structural network of these two nuclei using a tract of interest (TOI) approach. RESULTS: Significant FA deficits in a whole brain analysis were only found in right parietal WM (p<0.05, corrected). Effects of severity were found for increasing thalamic FA. Post hoc analysis revealed this effect to be restricted to CM specific tracts. In contrast, we found MD to dorsolateral prefrontal cortex (DLPFC) tracts to be decreased in FA. Unspecific decreases between MD and CM towards amygdala were paralleled by primary amygdala FA reductions. LIMITATIONS: Specificity of the TOI approach and heterogenous sample. CONCLUSIONS: Robust parietal FA reductions, controlled for age effects were found in MDD. Further we revealed subcortical disease state dependency of FA in thalamic tracts, specific to predescribed preferential connections.
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Authors: Lindsay W Victoria; George S Alexopoulos; Irena Ilieva; Aliza T Stein; Matthew J Hoptman; Naib Chowdhury; Matteo Respino; Sarah Shizuko Morimoto; Dora Kanellopoulos; Jimmy N Avari; Faith M Gunning Journal: J Affect Disord Date: 2018-09-11 Impact factor: 4.839
Authors: Doreen M Olvet; Denis Peruzzo; Binod Thapa-Chhetry; M Elizabeth Sublette; Gregory M Sullivan; Maria A Oquendo; J John Mann; Ramin V Parsey Journal: J Psychiatr Res Date: 2014-01-16 Impact factor: 4.791
Authors: Viola Borchardt; Anton Richard Lord; Meng Li; Johan van der Meer; Hans-Jochen Heinze; Bernhard Bogerts; Michael Breakspear; Martin Walter Journal: Hum Brain Mapp Date: 2016-02-17 Impact factor: 5.038
Authors: Christine Doherty; Amy S Nowacki; Mary Pat McAndrews; Carrie R McDonald; Anny Reyes; Michelle S Kim; Marla Hamberger; Imad Najm; William Bingaman; Lara Jehi; Robyn M Busch Journal: Epilepsia Date: 2021-01-19 Impact factor: 6.740