@article{JaiteBuehrenDahmenetal.2019,
  author    = {Jaite, Charlotte and B{\"u}hren, Katharina and Dahmen, Brigitte and Dempfle, Astrid and Becker, Katja and Correll, Christoph U. and Egberts, Karin M. and Ehrlich, Stefan and Fleischhaker, Christian and von Gontard, Alexander and Hahn, Freia and Kolar, David and Kaess, Michael and Legenbauer, Tanja and Renner, Tobias J. and Schulze, Ulrike and Sinzig, Judith and Thomae, Ellen and Weber, Linda and Wessing, Ida and Antony, Gisela and Hebebrand, Johannes and F{\"o}cker, Manuel and Herpertz-Dahlmann, Beate},
  title     = {Clinical Characteristics of Inpatients with Childhood vs. Adolescent Anorexia Nervosa},
  series = {Nutrients},
  volume    = {11},
  journal   = {Nutrients},
  number    = {11},
  issn      = {2072-6643},
  doi       = {10.3390/nu11112593},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193160},
  pages     = {2593},
  year      = {2019},
  abstract  = {We aimed to compare the clinical data at first presentation to inpatient treatment of children (<14 years) vs. adolescents (≥14 years) with anorexia nervosa (AN), focusing on duration of illness before hospital admission and body mass index (BMI) at admission and discharge, proven predictors of the outcomes of adolescent AN. Clinical data at first admission and at discharge in 289 inpatients with AN (children: n = 72; adolescents: n = 217) from a German multicenter, web-based registry for consecutively enrolled patients with childhood and adolescent AN were analyzed. Inclusion criteria were a maximum age of 18 years, first inpatient treatment due to AN, and a BMI <10th BMI percentile at admission. Compared to adolescents, children with AN had a shorter duration of illness before admission (median: 6.0 months vs. 8.0 months, p = 0.004) and higher BMI percentiles at admission (median: 0.7 vs. 0.2, p = 0.004) as well as at discharge (median: 19.3 vs. 15.1, p = 0.011). Thus, in our study, children with AN exhibited clinical characteristics that have been associated with better outcomes, including higher admission and discharge BMI percentile. Future studies should examine whether these factors are actually associated with positive long-term outcomes in children.},
  language  = {en}
}
@article{KaiserAggensteinerHoltmannetal.2021,
  author    = {Kaiser, Anna and Aggensteiner, Pascal-M. and Holtmann, Martin and Fallgatter, Andreas and Romanos, Marcel and Abenova, Karina and Alm, Barbara and Becker, Katja and D{\"o}pfner, Manfred and Ethofer, Thomas and Freitag, Christine M. and Geissler, Julia and Hebebrand, Johannes and Huss, Michael and Jans, Thomas and Jendreizik, Lea Teresa and Ketter, Johanna and Legenbauer, Tanja and Philipsen, Alexandra and Poustka, Luise and Renner, Tobias and Retz, Wolfgang and R{\"o}sler, Michael and Thome, Johannes and Uebel-von Sandersleben, Henrik and von Wirth, Elena and Zinnow, Toivo and Hohmann, Sarah and Millenet, Sabina and Holz, Nathalie E. and Banaschewski, Tobias and Brandeis, Daniel},
  title     = {EEG data quality: determinants and impact in a multicenter study of children, adolescents, and adults with attention-deficit/hyperactivity disorder (ADHD)},
  series = {Brain Sciences},
  volume    = {11},
  journal   = {Brain Sciences},
  number    = {2},
  issn      = {2076-3425},
  doi       = {10.3390/brainsci11020214},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228788},
  year      = {2021},
  abstract  = {Electroencephalography (EEG) represents a widely established method for assessing altered and typically developing brain function. However, systematic studies on EEG data quality, its correlates, and consequences are scarce. To address this research gap, the current study focused on the percentage of artifact-free segments after standard EEG pre-processing as a data quality index. We analyzed participant-related and methodological influences, and validity by replicating landmark EEG effects. Further, effects of data quality on spectral power analyses beyond participant-related characteristics were explored. EEG data from a multicenter ADHD-cohort (age range 6 to 45 years), and a non-ADHD school-age control group were analyzed (n\(_{total}\) = 305). Resting-state data during eyes open, and eyes closed conditions, and task-related data during a cued Continuous Performance Task (CPT) were collected. After pre-processing, general linear models, and stepwise regression models were fitted to the data. We found that EEG data quality was strongly related to demographic characteristics, but not to methodological factors. We were able to replicate maturational, task, and ADHD effects reported in the EEG literature, establishing a link with EEG-landmark effects. Furthermore, we showed that poor data quality significantly increases spectral power beyond effects of maturation and symptom severity. Taken together, the current results indicate that with a careful design and systematic quality control, informative large-scale multicenter trials characterizing neurophysiological mechanisms in neurodevelopmental disorders across the lifespan are feasible. Nevertheless, results are restricted to the limitations reported. Future work will clarify predictive value.},
  language  = {en}
}