TY - JOUR A1 - Hautmann, Christopher A1 - Döpfner, Manfred A1 - Katzmann, Josepha A1 - Schürmann, Stephanie A1 - Wolff Metternich-Kaizman, Tanja A1 - Jaite, Charlotte A1 - Kappel, Viola A1 - Geissler, Julia A1 - Warnke, Andreas A1 - Jacob, Christian A1 - Hennighausen, Klaus A1 - Haack-Dees, Barbara A1 - Schneider-Momm, Katja A1 - Philipsen, Alexandra A1 - Matthies, Swantje A1 - Rösler, Michael A1 - Retz, Wolfgang A1 - Gontard, Alexander von A1 - Sobanski, Esther A1 - Alm, Barbara A1 - Hohmann, Sarah A1 - Häge, Alexander A1 - Poustka, Luise A1 - Colla, Michael A1 - Gentschow, Laura A1 - Freitag, Christine M. A1 - Becker, Katja A1 - Jans, Thomas T1 - Sequential treatment of ADHD in mother and child (AIMAC study): importance of the treatment phases for intervention success in a randomized trial JF - BMC Psychiatry N2 - Background The efficacy of parent-child training (PCT) regarding child symptoms may be reduced if the mother has attention-deficit/hyperactivity disorder (ADHD). The AIMAC study (ADHD in Mothers and Children) aimed to compensate for the deteriorating effect of parental psychopathology by treating the mother (Step 1) before the beginning of PCT (Step 2). This secondary analysis was particularly concerned with the additional effect of the Step 2 PCT on child symptoms after the Step 1 treatment. Methods The analysis included 143 mothers and children (aged 6–12 years) both diagnosed with ADHD. The study design was a two-stage, two-arm parallel group trial (Step 1 treatment group [TG]: intensive treatment of the mother including psychotherapy and pharmacotherapy; Step 1 control group [CG]: supportive counseling only for mother; Step 2 TG and CG: PCT). Single- and multi-group analyses with piecewise linear latent growth curve models were applied to test for the effects of group and phase. Child symptoms (e.g., ADHD symptoms, disruptive behavior) were rated by three informants (blinded clinician, mother, teacher). Results Children in the TG showed a stronger improvement of their disruptive behavior as rated by mothers than those in the CG during Step 1 (Step 1: TG vs. CG). In the CG, according to reports of the blinded clinician and the mother, the reduction of children’s disruptive behavior was stronger during Step 2 than during Step 1 (CG: Step 1 vs. Step 2). In the TG, improvement of child outcome did not differ across treatment steps (TG: Step 1 vs. Step 2). Conclusions Intensive treatment of the mother including pharmacotherapy and psychotherapy may have small positive effects on the child’s disruptive behavior. PCT may be a valid treatment option for children with ADHD regarding disruptive behavior, even if mothers are not intensively treated beforehand. Trial registration ISRCTN registry ISRCTN73911400. Registered 29 March 2007. KW - mothers KW - children KW - adult treatment KW - parent training KW - efficacy Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-227930 VL - 18 ER - TY - JOUR A1 - Kaiser, Anna A1 - Aggensteiner, Pascal-M. A1 - Holtmann, Martin A1 - Fallgatter, Andreas A1 - Romanos, Marcel A1 - Abenova, Karina A1 - Alm, Barbara A1 - Becker, Katja A1 - Döpfner, Manfred A1 - Ethofer, Thomas A1 - Freitag, Christine M. A1 - Geissler, Julia A1 - Hebebrand, Johannes A1 - Huss, Michael A1 - Jans, Thomas A1 - Jendreizik, Lea Teresa A1 - Ketter, Johanna A1 - Legenbauer, Tanja A1 - Philipsen, Alexandra A1 - Poustka, Luise A1 - Renner, Tobias A1 - Retz, Wolfgang A1 - Rösler, Michael A1 - Thome, Johannes A1 - Uebel-von Sandersleben, Henrik A1 - von Wirth, Elena A1 - Zinnow, Toivo A1 - Hohmann, Sarah A1 - Millenet, Sabina A1 - Holz, Nathalie E. A1 - Banaschewski, Tobias A1 - Brandeis, Daniel T1 - EEG data quality: determinants and impact in a multicenter study of children, adolescents, and adults with attention-deficit/hyperactivity disorder (ADHD) JF - Brain Sciences N2 - 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. KW - electroencephalography (EEG) KW - data quality KW - attention-deficit/hyperactivity disorder (ADHD) KW - artifacts KW - multicenter study Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228788 SN - 2076-3425 VL - 11 IS - 2 ER - TY - JOUR A1 - Postema, Merel C. A1 - Hoogman, Martine A1 - Ambrosino, Sara A1 - Asherson, Philip A1 - Banaschewski, Tobias A1 - Bandeira, Cibele E. A1 - Baranov, Alexandr A1 - Bau, Claiton H.D. A1 - Baumeister, Sarah A1 - Baur‐Streubel, Ramona A1 - Bellgrove, Mark A. A1 - Biederman, Joseph A1 - Bralten, Janita A1 - Brandeis, Daniel A1 - Brem, Silvia A1 - Buitelaar, Jan K. A1 - Busatto, Geraldo F. A1 - Castellanos, Francisco X. A1 - Cercignani, Mara A1 - Chaim‐Avancini, Tiffany M. A1 - Chantiluke, Kaylita C. A1 - Christakou, Anastasia A1 - Coghill, David A1 - Conzelmann, Annette A1 - Cubillo, Ana I. A1 - Cupertino, Renata B. A1 - de Zeeuw, Patrick A1 - Doyle, Alysa E. A1 - Durston, Sarah A1 - Earl, Eric A. A1 - Epstein, Jeffery N. A1 - Ethofer, Thomas A1 - Fair, Damien A. A1 - Fallgatter, Andreas J. A1 - Faraone, Stephen V. A1 - Frodl, Thomas A1 - Gabel, Matt C. A1 - Gogberashvili, Tinatin A1 - Grevet, Eugenio H. A1 - Haavik, Jan A1 - Harrison, Neil A. A1 - Hartman, Catharina A. A1 - Heslenfeld, Dirk J. A1 - Hoekstra, Pieter J. A1 - Hohmann, Sarah A1 - Høvik, Marie F. A1 - Jernigan, Terry L. A1 - Kardatzki, Bernd A1 - Karkashadze, Georgii A1 - Kelly, Clare A1 - Kohls, Gregor A1 - Konrad, Kerstin A1 - Kuntsi, Jonna A1 - Lazaro, Luisa A1 - Lera‐Miguel, Sara A1 - Lesch, Klaus‐Peter A1 - Louza, Mario R. A1 - Lundervold, Astri J. A1 - Malpas, Charles B A1 - Mattos, Paulo A1 - McCarthy, Hazel A1 - Namazova‐Baranova, Leyla A1 - Nicolau, Rosa A1 - Nigg, Joel T. A1 - Novotny, Stephanie E. A1 - Oberwelland Weiss, Eileen A1 - O'Gorman Tuura, Ruth L. A1 - Oosterlaan, Jaap A1 - Oranje, Bob A1 - Paloyelis, Yannis A1 - Pauli, Paul A1 - Picon, Felipe A. A1 - Plessen, Kerstin J. A1 - Ramos‐Quiroga, J. Antoni A1 - Reif, Andreas A1 - Reneman, Liesbeth A1 - Rosa, Pedro G.P. A1 - Rubia, Katya A1 - Schrantee, Anouk A1 - Schweren, Lizanne J.S. A1 - Seitz, Jochen A1 - Shaw, Philip A1 - Silk, Tim J. A1 - Skokauskas, Norbert A1 - Soliva Vila, Juan C. A1 - Stevens, Michael C. A1 - Sudre, Gustavo A1 - Tamm, Leanne A1 - Tovar‐Moll, Fernanda A1 - van Erp, Theo G.M. A1 - Vance, Alasdair A1 - Vilarroya, Oscar A1 - Vives‐Gilabert, Yolanda A1 - von Polier, Georg G. A1 - Walitza, Susanne A1 - Yoncheva, Yuliya N. A1 - Zanetti, Marcus V. A1 - Ziegler, Georg C. A1 - Glahn, David C. A1 - Jahanshad, Neda A1 - Medland, Sarah E. A1 - Thompson, Paul M. A1 - Fisher, Simon E. A1 - Franke, Barbara A1 - Francks, Clyde T1 - Analysis of structural brain asymmetries in attention‐deficit/hyperactivity disorder in 39 datasets JF - Journal of Child Psychology and Psychiatry N2 - 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. KW - attention‐deficit KW - hyperactivity disorder KW - brain asymmetry KW - brain laterality KW - structural MRI KW - large‐scale data Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239968 VL - 62 IS - 10 SP - 1202 EP - 1219 ER - TY - JOUR A1 - Ziegler, Mirjam A1 - Kaiser, Anna A1 - Igel, Christine A1 - Geissler, Julia A1 - Mechler, Konstantin A1 - Holz, Nathalie E. A1 - Becker, Katja A1 - Döpfner, Manfred A1 - Romanos, Marcel A1 - Brandeis, Daniel A1 - Hohmann, Sarah A1 - Millenet, Sabina A1 - Banaschewski, Tobias T1 - Actigraphy-derived sleep profiles of children with and without attention-deficit/hyperactivity disorder (ADHD) over two weeks — comparison, precursor symptoms, and the chronotype JF - Brain Sciences N2 - Although sleep problems are common in children with ADHD, their extent, preceding risk factors, and the association between neurocognitive performance and neurobiological processes in sleep and ADHD, are still largely unknown. We examined sleep variables in school-aged children with ADHD, addressing their intra-individual variability (IIV) and considering potential precursor symptoms as well as the chronotype. Additionally, in a subgroup of our sample, we investigated associations with neurobehavioral functioning (n = 44). A total of 57 children (6–12 years) with (n = 24) and without ADHD (n = 33) were recruited in one center of the large ESCAlife study to wear actigraphs for two weeks. Actigraphy-derived dependent variables, including IIV, were analyzed using linear mixed models in order to find differences between the groups. A stepwise regression model was used to investigate neuropsychological function. Overall, children with ADHD showed longer sleep onset latency (SOL), higher IIV in SOL, more movements during sleep, lower sleep efficiency, and a slightly larger sleep deficit on school days compared with free days. No group differences were observed for chronotype or sleep onset time. Sleep problems in infancy predicted later SOL and the total number of movements during sleep in children with and without ADHD. No additional effect of sleep problems, beyond ADHD symptom severity, on neuropsychological functioning was found. This study highlights the importance of screening children with ADHD for current and early childhood sleep disturbances in order to prevent long-term sleep problems and offer individualized treatments. Future studies with larger sample sizes should examine possible biological markers to improve our understanding of the underlying mechanisms. KW - sleep KW - actigraphy KW - attention-deficit/hyperactivity disorder (ADHD) KW - intra-individual variability (IIV) KW - chronotype KW - children KW - continuous performance task (CPT) KW - precursor symptoms KW - ESCAlife Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-250084 SN - 2076-3425 VL - 11 IS - 12 ER -