@article{PostemaHoogmanAmbrosinoetal.2021,
  author    = {Postema, Merel C. and Hoogman, Martine and Ambrosino, Sara and Asherson, Philip and Banaschewski, Tobias and Bandeira, Cibele E. and Baranov, Alexandr and Bau, Claiton H.D. and Baumeister, Sarah and Baur-Streubel, Ramona and Bellgrove, Mark A. and Biederman, Joseph and Bralten, Janita and Brandeis, Daniel and Brem, Silvia and Buitelaar, Jan K. and Busatto, Geraldo F. and Castellanos, Francisco X. and Cercignani, Mara and Chaim-Avancini, Tiffany M. and Chantiluke, Kaylita C. and Christakou, Anastasia and Coghill, David and Conzelmann, Annette and Cubillo, Ana I. and Cupertino, Renata B. and de Zeeuw, Patrick and Doyle, Alysa E. and Durston, Sarah and Earl, Eric A. and Epstein, Jeffery N. and Ethofer, Thomas and Fair, Damien A. and Fallgatter, Andreas J. and Faraone, Stephen V. and Frodl, Thomas and Gabel, Matt C. and Gogberashvili, Tinatin and Grevet, Eugenio H. and Haavik, Jan and Harrison, Neil A. and Hartman, Catharina A. and Heslenfeld, Dirk J. and Hoekstra, Pieter J. and Hohmann, Sarah and H{\o}vik, Marie F. and Jernigan, Terry L. and Kardatzki, Bernd and Karkashadze, Georgii and Kelly, Clare and Kohls, Gregor and Konrad, Kerstin and Kuntsi, Jonna and Lazaro, Luisa and Lera-Miguel, Sara and Lesch, Klaus-Peter and Louza, Mario R. and Lundervold, Astri J. and Malpas, Charles B and Mattos, Paulo and McCarthy, Hazel and Namazova-Baranova, Leyla and Nicolau, Rosa and Nigg, Joel T. and Novotny, Stephanie E. and Oberwelland Weiss, Eileen and O'Gorman Tuura, Ruth L. and Oosterlaan, Jaap and Oranje, Bob and Paloyelis, Yannis and Pauli, Paul and Picon, Felipe A. and Plessen, Kerstin J. and Ramos-Quiroga, J. Antoni and Reif, Andreas and Reneman, Liesbeth and Rosa, Pedro G.P. and Rubia, Katya and Schrantee, Anouk and Schweren, Lizanne J.S. and Seitz, Jochen and Shaw, Philip and Silk, Tim J. and Skokauskas, Norbert and Soliva Vila, Juan C. and Stevens, Michael C. and Sudre, Gustavo and Tamm, Leanne and Tovar-Moll, Fernanda and van Erp, Theo G.M. and Vance, Alasdair and Vilarroya, Oscar and Vives-Gilabert, Yolanda and von Polier, Georg G. and Walitza, Susanne and Yoncheva, Yuliya N. and Zanetti, Marcus V. and Ziegler, Georg C. and Glahn, David C. and Jahanshad, Neda and Medland, Sarah E. and Thompson, Paul M. and Fisher, Simon E. and Franke, Barbara and Francks, Clyde},
  title     = {Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets},
  series = {Journal of Child Psychology and Psychiatry},
  volume    = {62},
  journal   = {Journal of Child Psychology and Psychiatry},
  number    = {10},
  doi       = {10.1111/jcpp.13396},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-239968},
  pages     = {1202 -- 1219},
  year      = {2021},
  abstract  = {Objective Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. Methods We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. Results There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen's d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing. Conclusion Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.},
  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}
}