@article{HenningsKohliCzamaraetal.2013,
  author    = {Hennings, Johannes M. and Kohli, Martin A. and Czamara, Darina and Giese, Maria and Eckert, Anne and Wolf, Christiane and Heck, Angela and Domschke, Katharina and Arolt, Volker and Baune, Bernhard T. and Horstmann, Sonja and Br{\"u}ckl, Tanja and Klengel, Torsten and Menke, Andreas and M{\"u}ller-Myhsok, Bertram and Ising, Marcus and Uhr, Manfred and Lucae, Susanne},
  title     = {Possible Associations of NTRK2 Polymorphisms with Antidepressant Treatment Outcome: Findings from an Extended Tag SNP Approach},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {6},
  doi       = {10.1371/journal.pone.0065636},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130924},
  pages     = {e64947},
  year      = {2013},
  abstract  = {Background: Data from clinical studies and results from animal models suggest an involvement of the neurotrophin system in the pathology of depression and antidepressant treatment response. Genetic variations within the genes coding for the brain-derived neurotrophic factor (BDNF) and its key receptor Trkb (NTRK2) may therefore influence the response to antidepressant treatment. Methods: We performed a single and multi-marker association study with antidepressant treatment outcome in 398 depressed Caucasian inpatients participating in the Munich Antidepressant Response Signature (MARS) project. Two Caucasian replication samples (N = 249 and N = 247) were investigated, resulting in a total number of 894 patients. 18 tagging SNPs in the BDNF gene region and 64 tagging SNPs in the NTRK2 gene region were genotyped in the discovery sample; 16 nominally associated SNPs were tested in two replication samples. Results: In the discovery analysis, 7 BDNF SNPs and 9 NTRK2 SNPs were nominally associated with treatment response. Three NTRK2 SNPs (rs10868223, rs1659412 and rs11140778) also showed associations in at least one replication sample and in the combined sample with the same direction of effects (\(P_{corr}\) = .018, \(P_{corr}\) = .015 and \(P_{corr}\) = .004, respectively). We observed an across-gene BDNF-NTRK2 SNP interaction for rs4923468 and rs1387926. No robust interaction of associated SNPs was found in an analysis of BDNF serum protein levels as a predictor for treatment outcome in a subset of 93 patients. Conclusions/Limitations: Although not all associations in the discovery analysis could be unambiguously replicated, the findings of the present study identified single nucleotide variations in the BDNF and NTRK2 genes that might be involved in antidepressant treatment outcome and that have not been previously reported in this context. These new variants need further validation in future association studies.},
  language  = {en}
}
@article{HahnDreslerPykaetal.2013,
  author    = {Hahn, Tim and Dresler, Thomas and Pyka, Martin and Notebaert, Karolien and Fallgatter, Andreas J.},
  title     = {Local Synchronization of Resting-State Dynamics Encodes Gray's Trait Anxiety},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {3},
  doi       = {10.1371/journal.pone.0058336},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131057},
  pages     = {e58336},
  year      = {2013},
  abstract  = {The Behavioral Inhibition System (BIS) as defined within the Reinforcement Sensitivity Theory (RST) modulates reactions to stimuli indicating aversive events. Gray's trait Anxiety determines the extent to which stimuli activate the BIS. While studies have identified the amygdala-septo-hippocampal circuit as the key-neural substrate of this system in recent years and measures of resting-state dynamics such as randomness and local synchronization of spontaneous BOLD fluctuations have recently been linked to personality traits, the relation between resting-state dynamics and the BIS remains unexplored. In the present study, we thus examined the local synchronization of spontaneous fMRI BOLD fluctuations as measured by Regional Homogeneity (ReHo) in the hippocampus and the amygdala in twenty-seven healthy subjects. Correlation analyses showed that Gray's trait Anxiety was significantly associated with mean ReHo in both the amygdala and the hippocampus. Specifically, Gray's trait Anxiety explained 23\% and 17\% of resting-state ReHo variance in the left amygdala and the left hippocampus, respectively. In summary, we found individual differences in Gray's trait Anxiety to be associated with ReHo in areas previously associated with BIS functioning. Specifically, higher ReHo in resting-state neural dynamics corresponded to lower sensitivity to punishment scores both in the amygdala and the hippocampus. These findings corroborate and extend recent findings relating resting-state dynamics and personality while providing first evidence linking properties of resting-state fluctuations to Gray's BIS.},
  language  = {en}
}