@article{SherifInceManiucetal.2015,
  author    = {Sherif, Mohammad A. and Ince, H{\"u}seyin and Maniuc, Octavian and Reiter, Therese and Voelker, Wolfram and Ertl, Georg and {\"O}ner, Alper},
  title     = {Two-dimensional transesophageal echocardiography for aortic annular sizing in patients undergoing transcatheter aortic valve implantation},
  series = {BMC Cardiovascular Disorders},
  volume    = {15},
  journal   = {BMC Cardiovascular Disorders},
  number    = {181},
  doi       = {10.1186/s12872-015-0181-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-136002},
  year      = {2015},
  abstract  = {Background: Accurate preoperative assessment of the aortic annulus dimension is crucial for successful transcatheter aortic valve implantation (TAVI). In this study we examined the accuracy of a novel method using two-dimensional transesophageal echocardiography (2D-TEE) for measurement of the aortic annulus. Methods: We evaluated the theoretical impact of the measurement of the annulus diameter and area using the circumcircle of a triangle method on the decision to perform the procedure and choice of the prosthesis size. Results: Sixty-three consecutive patients were scheduled for TAVI. Mean age was 82 +/- 4 years, and 25 patients (55.6 \%) were female. Mean aortic annulus diameter was 20.3 +/- 2.2 mm assessed by TEE on the mid-esophageal long-axis view and 23.9 +/- 2.3 mm using CT (p < 0.001). There was a tendency for the TEE derived areas using the new method to be higher (p < 0.001). The TEE measurements were on average 42.33 mm(2) higher than the CT measurements without an evidence of a systematic over-or under-sizing (p = 1.00). Agreement between TEE and CT chosen valve sizes was good overall (kappa = 0.67 and weighted kappa = 0.71). For patients who turned out to have no AR, the two methods agreed in 84.6 \% of patients. Conclusions: CT remanis the gold standard in sizing of the aortic valve annulus. Nevertheless, sizing of the aortic valve annulus using TEE derived area may be helpful. The impact of integration of this method in the algorithm of aortic annulus sizing on the outcome of patients undergoing TAVI should be examined in future 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}
}