@article{KueblerBlankertzKleihetal.2014,
  author    = {K{\"u}bler, Andrea and Blankertz, Benjamin and Kleih, Sonja C. and Kaufmann, Tobias and Hammer, Eva M.},
  title     = {Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR)},
  doi       = {10.3389/fnhum.2014.00574},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113084},
  year      = {2014},
  abstract  = {Modulation of sensorimotor rhythms (SMR) was suggested as a control signal for brain-computer interfaces (BCI). Yet, there is a population of users estimated between 10 to 50\% not able to achieve reliable control and only about 20\% of users achieve high (80-100\%) performance. Predicting performance prior to BCI use would facilitate selection of the most feasible system for an individual, thus constitute a practical benefit for the user, and increase our knowledge about the correlates of BCI control. In a recent study, we predicted SMR-BCI performance from psychological variables that were assessed prior to the BCI sessions and BCI control was supported with machine-learning techniques. We described two significant psychological predictors, namely the visuo-motor coordination ability and the ability to concentrate on the task. The purpose of the current study was to replicate these results thereby validating these predictors within a neurofeedback based SMR-BCI that involved no machine learning.Thirty-three healthy BCI novices participated in a calibration session and three further neurofeedback training sessions. Two variables were related with mean SMR-BCI performance: (1) a measure for the accuracy of fine motor skills, i.e., a trade for a person's visuo-motor control ability; and (2) subject's "attentional impulsivity". In a linear regression they accounted for almost 20\% in variance of SMR-BCI performance, but predictor (1) failed significance. Nevertheless, on the basis of our prior regression model for sensorimotor control ability we could predict current SMR-BCI performance with an average prediction error of M = 12.07\%. In more than 50\% of the participants, the prediction error was smaller than 10\%. Hence, psychological variables played a moderate role in predicting SMR-BCI performance in a neurofeedback approach that involved no machine learning. Future studies are needed to further consolidate (or reject) the present predictors.},
  language  = {en}
}
@article{GrubeKoenneckeWalteretal.2013,
  author    = {Grube, Maike Miriam and Koennecke, Hans-Christian and Walter, Georg and Meisel, Andreas and Sobesky, Jan and Nolte, Christian Hans and Wellwood, Ian and Heuschmann, Peter Ulrich},
  title     = {Influence of Acute Complications on Outcome 3 Months after Ischemic Stroke},
  series = {PLOS ONE},
  volume    = {8},
  journal   = {PLOS ONE},
  number    = {9},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0075719},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-128362},
  pages     = {e75719},
  year      = {2013},
  abstract  = {Background: Early medical complications are potentially modifiable factors influencing in-hospital outcome. We investigated the influence of acute complications on mortality and poor outcome 3 months after ischemic stroke. Methods: Data were obtained from patients admitted to one of 13 stroke units of the Berlin Stroke Registry (BSR) who participated in a 3-months-follow up between June 2010 and September 2012. We examined the influence of the cumulative number of early in-hospital complications on mortality and poor outcome (death, disability or institutionalization) 3 months after stroke using multivariable logistic regression analyses and calculated attributable fractions to determine the impact of early complications on mortality and poor outcome. Results: A total of 2349 ischemic stroke patients alive at discharge from acute care were included in the analysis. Older age, stroke severity, pre-stroke dependency and early complications were independent predictors of mortality 3 months after stroke. Poor outcome was independently associated with older age, stroke severity, pre-stroke dependency, previous stroke and early complications. More than 60\% of deaths and poor outcomes were attributed to age, pre-stroke dependency and stroke severity and in-hospital complications contributed to 12.3\% of deaths and 9.1\% of poor outcomes 3 months after stroke. Conclusion: The majority of deaths and poor outcomes after stroke were attributed to non-modifiable factors. However, early in-hospital complications significantly affect outcome in patients who survived the acute phase after stroke, underlining the need to improve prevention and treatment of complications in hospital.},
  language  = {en}
}
@article{NeugebauerHeuschmannJuettler2012,
  author    = {Neugebauer, Hermann and Heuschmann, Peter U. and J{\"u}ttler, Eric},
  title     = {DEcompressive Surgery for the Treatment of malignant INfarction of the middle cerebral arterY - Registry (DESTINY-R): design and protocols},
  series = {BMC Neurology},
  volume    = {12},
  journal   = {BMC Neurology},
  number    = {115},
  doi       = {10.1186/1471-2377-12-115},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-133892},
  year      = {2012},
  abstract  = {Background: Randomized controlled trials (RCT) on the treatment of severe space-occupying infarction of the middle cerebral artery (malignant MCA infarction) showed that early decompressive hemicraniectomy (DHC) is life saving and improves outcome without promoting most severe disablity in patients aged 18-60 years. It is, however, unknown whether the results obtained in the randomized trials are reproducible in a broader population in and apart from an academical setting and whether hemicraniectomy has been implemented in clinical practice as recommended by national and international guidelines. In addition, they were not powered to answer further relevant questions, e. g. concerning the selection of patients eligible for and the timing of hemicraniectomy. Other important issues such as the acceptance of disability following hemicraniectomy, the existence of specific prognostic factors, the value of conservative therapeutic measures, and the overall complication rate related to hemicraniectomy have not been sufficiently studied yet. Methods/Design: DESTINY-R is a prospective, multicenter, open, controlled registry including a 12 months follow-up. The only inclusion criteria is unilateral ischemic MCA stroke affecting more than 50\% of the MCA-territory. The primary study hypothesis is to confirm the results of the RCT (76\% mRS <= 4 after 12 months) in the subgroup of patients additionally fulfilling the inclusion cirteria of the RCT in daily routine. Assuming a calculated proportion of 0.76 for successes and a sample size of 300 for this subgroup, the width of the 95\% CI, calculated using Wilson's method, will be 0.096 with the lower bound 0.709 and the upper bound 0.805. Discussion: The results of this study will provide information about the effectiveness of DHC in malignant MCA infarction in a broad population and a real-life situation in addition to and beyond RCT. Further prospectively obtained data will give crucial information on open questions and will be helpful in the plannig of upcomming treatment studies.},
  language  = {en}
}