Gevensleben, Holger

[["dc.bibliographiccitation.firstpage","1087"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","European Child & Adolescent Psychiatry"],["dc.bibliographiccitation.lastpage","1095"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Aggensteiner, Pascal-M."],["dc.contributor.author","Brandeis, D."],["dc.contributor.author","Millenet, S."],["dc.contributor.author","Hohmann, S."],["dc.contributor.author","Ruckes, C."],["dc.contributor.author","Beuth, S."],["dc.contributor.author","Albrecht, B."],["dc.contributor.author","Schmitt, G."],["dc.contributor.author","Schermuly, S."],["dc.contributor.author","Wörz, S."],["dc.contributor.author","Gevensleben, H."],["dc.contributor.author","Freitag, C. M."],["dc.contributor.author","Banaschewski, T."],["dc.contributor.author","Rothenberger, A."],["dc.contributor.author","Strehl, U."],["dc.contributor.author","Holtmann, M."],["dc.date.accessioned","2020-12-10T14:11:05Z"],["dc.date.available","2020-12-10T14:11:05Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1007/s00787-018-01271-8"],["dc.identifier.eissn","1435-165X"],["dc.identifier.issn","1018-8827"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/70961"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Slow cortical potentials neurofeedback in children with ADHD: comorbidity, self-regulation and clinical outcomes 6 months after treatment in a multicenter randomized controlled trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","990"],["dc.bibliographiccitation.journal","Frontiers in human neuroscience"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Albrecht, Björn"],["dc.contributor.author","Lütcke, Henry"],["dc.contributor.author","Auer, Tibor"],["dc.contributor.author","Dewiputri, Wan Ilma"],["dc.contributor.author","Schweizer, Renate"],["dc.contributor.author","Moll, Gunther"],["dc.contributor.author","Heinrich, Hartmut"],["dc.contributor.author","Rothenberger, Aribert"],["dc.date.accessioned","2019-07-09T11:40:54Z"],["dc.date.available","2019-07-09T11:40:54Z"],["dc.date.issued","2014"],["dc.description.abstract","To elucidate basic mechanisms underlying neurofeedback we investigated neural mechanisms of training of slow cortical potentials (SCPs) by considering EEG- and fMRI. Additionally, we analyzed the feasibility of a double-blind, placebo-controlled design in NF research based on regulation performance during treatment sessions and self-assessment of the participants. Twenty healthy adults participated in 16 sessions of SCPs training: 9 participants received regular SCP training, 11 participants received sham feedback. At three time points (pre, intermediate, post) fMRI and EEG/ERP-measurements were conducted during a continuous performance test (CPT). Performance-data during the sessions (regulation performance) in the treatment group and the placebo group were analyzed. Analysis of EEG-activity revealed in the SCP group a strong enhancement of the CNV (electrode Cz) at the intermediate assessment, followed by a decrease back to baseline at the post-treatment assessment. In contrast, in the placebo group a continuous but smaller increase of the CNV could be obtained from pre to post assessment. The increase of the CNV in the SCP group at intermediate testing was superior to the enhancement in the placebo group. The changes of the CNV were accompanied by a continuous improvement in the test performance of the CPT from pre to intermediate to post assessment comparable in both groups. The change of the CNV in the SCP group is interpreted as an indicator of neural plasticity and efficiency while an increase of the CNV in the placebo group might reflect learning and improved timing due to the frequent task repetition. In the fMRI analysis evidence was obtained for neuronal plasticity. After regular SCP neurofeedback activation in the posterior parietal cortex decreased from the pre- to the intermediate measurement and increased again in the post measurement, inversely following the U-shaped increase and decrease of the tCNV EEG amplitude in the SCP-trained group. Furthermore, we found a localized increase of activity in the anterior cingulate cortex (ACC). Analyses of the estimation of treatment assignment by the participants indicate feasibility of blinding. Participants could not assess treatment assignment confidently. Participants of the SCP-group improved regulation capability during treatment sessions (in contrast to the participants of the placebo-group), although regulation capability appeared to be instable, presumably due to diminished confidence in the training (SCP- or sham-training). Our results indicate that SCP training in healthy adults might lead to functional changes in neuronal circuits serving cognitive preparation even after a limited number of sessions."],["dc.format.extent","13"],["dc.identifier.doi","10.3389/fnhum.2014.00990"],["dc.identifier.fs","607730"],["dc.identifier.pmid","25566020"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11462"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58291"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1662-5161"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Neurofeedback of slow cortical potentials: neural mechanisms and feasibility of a placebo-controlled design in healthy adults."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","149"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","International Journal of Psychophysiology"],["dc.bibliographiccitation.lastpage","157"],["dc.bibliographiccitation.volume","74"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Holl, Birgit"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Schlamp, Dieter"],["dc.contributor.author","Kratz, Oliver"],["dc.contributor.author","Studer, Petra"],["dc.contributor.author","Wangler, Susanne"],["dc.contributor.author","Rothenberger, Aribert"],["dc.contributor.author","Moll, Gunther H."],["dc.contributor.author","Heinrich, Hartmut"],["dc.date.accessioned","2018-11-07T11:22:46Z"],["dc.date.available","2018-11-07T11:22:46Z"],["dc.date.issued","2009"],["dc.description.abstract","In a randomized controlled trial, neurofeedback (NF) training was found to be superior to a computerised attention skills training concerning the reduction of ADHD symptomatology (Gevensleben et al., 2009). The aims of this investigation were to assess the impact of different NF protocols (theta/beta training and training of slow cortical potentials, SCPs) on the resting EEG and the association between distinct EEG measures and behavioral improvements. In 72 (of initially 102) children with ADHD, aged 8-12, EEG changes after either a NF training (n = 46) or the control training (n = 26) could be studied. The combined NF training consisted of one block of theta/beta training and one block of SCP training, each block comprising 18 units of 50 minutes (balanced order). Spontaneous EEG was recorded in a two-minute resting condition before the start of the training, between the two training blocks and after the end of the training. Activity in the different EEG frequency bands was analyzed. In contrast to the control condition, the combined NF training was accompanied by a reduction of theta activity. Protocol-specific EEG changes (theta/beta training: decrease of posterior-midline theta activity; SCP training: increase of central-midline alpha activity) were associated with improvements in the German ADHD rating scale. Related EEG-based predictors were obtained. Thus, differential EEG patterns for theta/beta and SCP training provide further evidence that distinct neuronal mechanisms may contribute to similar behavioral improvements in children with ADHD. (C) 2009 Elsevier B.V. All rights reserved."],["dc.description.sponsorship","German Research Foundation [HE 4536/2, MO 726/2, RO 698/4]"],["dc.identifier.doi","10.1016/j.ijpsycho.2009.08.005"],["dc.identifier.isi","000271783100010"],["dc.identifier.pmid","19712709"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/56049"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","0167-8760"],["dc.title","Distinct EEG effects related to neurofeedback training in children with ADHD: A randomized controlled trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","780"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Journal of Child Psychology and Psychiatry"],["dc.bibliographiccitation.lastpage","789"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Holl, Birgit"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Vogel, Claudia"],["dc.contributor.author","Schlamp, Dieter"],["dc.contributor.author","Kratz, Oliver"],["dc.contributor.author","Studer, Petra"],["dc.contributor.author","Rothenberger, Aribert"],["dc.contributor.author","Moll, Gunther H."],["dc.contributor.author","Heinrich, Hartmut"],["dc.date.accessioned","2018-11-07T08:28:14Z"],["dc.date.available","2018-11-07T08:28:14Z"],["dc.date.issued","2009"],["dc.description.abstract","Background: For children with attention deficit/hyperactivity disorder (ADHD), a reduction of inattention, impulsivity and hyperactivity by neurofeedback (NF) has been reported in several studies. But so far, unspecific training effects have not been adequately controlled for and/or studies do not provide sufficient statistical power. To overcome these methodological shortcomings we evaluated the clinical efficacy of neurofeedback in children with ADHD in a multisite randomised controlled study using a computerised attention skills training as a control condition. Methods: 102 children with ADHD, aged 8 to 12 years, participated in the study. Children performed either 36 sessions of NF training or a computerised attention skills training within two blocks of about four weeks each (randomised group assignment). The combined NF treatment consisted of one block of theta/beta training and one block of slow cortical potential (SCP) training. Pre-training, intermediate and post-training assessment encompassed several behaviour rating scales (e. g., the German ADHD rating scale, FBB-HKS) completed by parents and teachers. Evaluation ('placebo') scales were applied to control for parental expectations and satisfaction with the treatment. Results: For parent and teacher ratings, improvements in the NF group were superior to those of the control group. For the parent-rated FBB-HKS total score (primary outcome measure), the effect size was .60. Comparable effects were obtained for the two NF protocols (theta/beta training, SCP training). Parental attitude towards the treatment did not differ between NF and control group. Conclusions: Superiority of the combined NF training indicates clinical efficacy of NF in children with ADHD. Future studies should further address the specificity of effects and how to optimise the benefit of NF as treatment module for ADHD."],["dc.description.sponsorship","German Research Foundation [HE 4536/2, MO 726/2, RO 698/4]"],["dc.identifier.doi","10.1111/j.1469-7610.2008.02033.x"],["dc.identifier.isi","000266980600003"],["dc.identifier.pmid","19207632"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6334"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/16374"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","0021-9630"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Is neurofeedback an efficacious treatment for ADHD? A randomised controlled clinical trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","359"],["dc.bibliographiccitation.journal","Frontiers in Human Neuroscience"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Uebel-von Sandersleben, Henrik"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Rothenberger, Aribert"],["dc.date.accessioned","2018-11-07T09:55:42Z"],["dc.date.available","2018-11-07T09:55:42Z"],["dc.date.issued","2015"],["dc.description.abstract","Attention deficit hyperactivity disorder (ADHD) is characterized by severe and age-inappropriate levels of hyperactivity, impulsivity and inattention. ADHD is a heterogeneous disorder, and the majority of patients show comorbid or associated problems from other psychiatric disorders. Also, ADHD is associated with cognitive and motivational problems as well as resting-state abnormalities, associated with impaired brain activity in distinct neuronal networks. This needs to be considered in a multimodal treatment, of which neurofeedback (NF) may be a promising component. During NF, specific brain activity is fed back using visual or auditory signals, allowing the participants to gain control over these otherwise unaware neuronal processes. NF may be used to directly improve underlying neuronal deficits, and/or to establish more general self-regulatory skills that may be used to compensate behavioral difficulties. The current manuscript describes pathophysiological characteristics of ADHD, heterogeneity of ADHD subtypes and gender differences, as well as frequently associated behavioral problems such as oppositional defiant/conduct or tic disorder. It is discussed how NF may be helpful as a treatment approach within these contexts."],["dc.description.sponsorship","Open-Access Publikationsfonds 2015"],["dc.identifier.doi","10.3389/fnhum.2015.00359"],["dc.identifier.isi","000358737100001"],["dc.identifier.pmid","26157377"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36808"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1662-5161"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Pathophysiology of ADHD and associated problems - starting points for NF interventions?"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","135"],["dc.bibliographiccitation.journal","Frontiers in Human Neuroscience"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Strehl, Ute"],["dc.contributor.author","Aggensteiner, Pascal"],["dc.contributor.author","Wachtlin, Daniel"],["dc.contributor.author","Brandeis, Daniel"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Arana, Maria"],["dc.contributor.author","Bach, Christiane"],["dc.contributor.author","Banaschewski, Tobias"],["dc.contributor.author","Bogen, Thorsten"],["dc.contributor.author","Flaig-Roehr, Andrea"],["dc.contributor.author","Freitag, Christine M."],["dc.contributor.author","Fuchsenberger, Yvonne"],["dc.contributor.author","Gest, Stephanie"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Herde, Laura"],["dc.contributor.author","Hohmann, Sarah"],["dc.contributor.author","Legenbauer, Tanja"],["dc.contributor.author","Marx, Anna-Maria"],["dc.contributor.author","Millenet, Sabina"],["dc.contributor.author","Pniewski, Benjamin"],["dc.contributor.author","Rothenberger, Aribert"],["dc.contributor.author","Ruckes, Christian"],["dc.contributor.author","Woerz, Sonja"],["dc.contributor.author","Holtmann, Martin"],["dc.date.accessioned","2018-11-07T10:25:59Z"],["dc.date.available","2018-11-07T10:25:59Z"],["dc.date.issued","2017"],["dc.description.abstract","Background: Neurofeedback (NF) in children with attention-deficit/hyperactivity disorder (ADHD) has been investigated in a series of studies over the last years. Previous studies did not unanimously support NF as a treatment in ADHD. Most studies did not control for unspecific treatment effects and did not demonstrate that self-regulation took place. The present study examined the efficacy of NF in comparison to electromyographic (EMG) feedback to control for unspecific effects of the treatment, and assessed self-regulation of slow cortical potentials (SCPs). Methods: A total of 150 children aged 7-9 years diagnosed with ADHD (82% male; 43% medicated) were randomized to 25 sessions of feedback of SCPs (NF) or feedback of coordination of the supraspinatus muscles (EMG). The primary endpoint was the change in parents' ratings of ADHD core symptoms 4 weeks after the end of treatment compared to pre-tests. Results: Children in both groups showed reduced ADHD-core symptoms (NF 0.3, 95% CI 0.42 to 0.18; EMG 0.13, 95% CI 0.26 to 0.01). NF showed a significant superiority over EMG (treatment difference 0.17, 95% CI 0.02-0.3, p = 0.02). This yielded an effect size (ES) of d = 0.57 without and 0.40 with baseline observation carried forward (BOCF). The sensitivity analysis confirmed the primary result. Successful self-regulation of brain activity was observed only in NF. As a secondary result teachers reported no superior improvement from NF compared to EMG, but within-group analysis revealed effects of NF on the global ADHD score, inattention, and impulsivity. In contrast, EMG feedback did not result in changes despite more pronounced self-regulation learning. Conclusions: Based on the primary parent-rated outcome NF proved to be superior to a semi-active EMG feedback treatment. The study supports the feasibility and efficacy of NF in a large sample of children with ADHD, based on both specific and unspecific effects."],["dc.description.sponsorship","German Research Foundation DFGHO [2503/4-1, 2503/4-2]"],["dc.identifier.doi","10.3389/fnhum.2017.00135"],["dc.identifier.isi","000397982900001"],["dc.identifier.pmid","28408873"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14972"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42957"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Frontiers Media Sa"],["dc.relation.issn","1662-5161"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Neurofeedback of Slow Cortical Potentials in Children with Attention-Deficit/Hyperactivity Disorder: A Multicenter Randomized Trial Controlling for Unspecific Effects"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","942"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Clinical Neurophysiology"],["dc.bibliographiccitation.lastpage","950"],["dc.bibliographiccitation.volume","122"],["dc.contributor.author","Wangler, Susanne"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Studer, Petra"],["dc.contributor.author","Rothenberger, Aribert"],["dc.contributor.author","Moll, Gunther H."],["dc.contributor.author","Heinrich, Hartmut"],["dc.date.accessioned","2018-11-07T08:56:36Z"],["dc.date.available","2018-11-07T08:56:36Z"],["dc.date.issued","2011"],["dc.description.abstract","Objective: In a randomized controlled trial, we could demonstrate clinical efficacy of neurofeedback (NF) training for children with ADHD (Gevensleben et al., 2009a). The present investigation aimed at learning more about the neuronal mechanisms of NF training. Methods: Children with ADHD either completed a NF training or a computerized attention skills training (ratio 3: 2). NF training consisted of one block of theta/beta training and one block of slow cortical potential (SCP) training, each comprising 18 training units. At three times (pre-training, between the two training blocks and at post-training), event-related potentials (ERP) were recorded during the Attention Network Test. ERP analysis focused on the P3, reflecting inter alia attentional resources for stimulus evaluation, and the contingent negative variation (CNV), primarily related to cognitive preparation. Results: After NF training, an increase of the CNV in cue trials could be observed, which was specific for the SCP training. A larger pre-training CNV was associated with a larger reduction of ADHD symptomatology for SCP training. Conclusions: CNV effects reflect neuronal circuits underlying resource allocation during cognitive preparation. These distinct ERP effects are closely related to a successful NF training in children with ADHD. In future studies, neurophysiological recordings could help to optimize and individualize NF training. Significance: The findings contribute to a better understanding of the mechanisms underlying NF training in children with ADHD. (C) 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.clinph.2010.06.036"],["dc.identifier.isi","000290098700014"],["dc.identifier.pmid","20843737"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23188"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Ireland Ltd"],["dc.relation.issn","1388-2457"],["dc.title","Neurofeedback in children with ADHD: Specific event-related potential findings of a randomized controlled trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2172"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Journal of Cognitive Neuroscience"],["dc.bibliographiccitation.lastpage","2184"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Luetcke, Henry"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Frahm, Jens"],["dc.date.accessioned","2018-11-07T11:22:48Z"],["dc.date.available","2018-11-07T11:22:48Z"],["dc.date.issued","2009"],["dc.description.abstract","Previous electrophysiological studies have clearly identified separable neural events underlying early and late components of response anticipation. Functional neuroimaging studies, however, have so far failed to account for this separation. Here, we performed functional magnetic resonance imaging (fMRI) of an anticipation paradigm in 12 healthy adult subjects that reliably produced early and late expectancy waves in the electroencephalogram. We furthermore compared fMRI activations elicited during early and late anticipation to those associated with response conflict. Our results demonstrate the existence of distinct cortical and subcortical brain regions underlying early and late anticipation. Although late anticipatory behavior was associated with activations in dorsal ACC, frontal cortex, and thalamus, brain responses linked to the early expectancy wave were localized mainly in motor and premotor cortical areas as well as the caudate nucleus. Additionally, late anticipation was associated with increased activity in midbrain dopaminergic nuclei, very likely corresponding to the substantia nigra. Furthermore, whereas regions involved in late anticipation proved to be very similar to activations elicited by response conflict, this was not the case for early anticipation. The current study supports a distinction between early and late anticipatory processes, in line with a plethora of neurophysiological work, and for the first time describes the brain structures differentially involved in these processes."],["dc.identifier.doi","10.1162/jocn.2008.21165"],["dc.identifier.isi","000270741300010"],["dc.identifier.pmid","19016602"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/56056"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Mit Press"],["dc.relation.issn","0898-929X"],["dc.title","Brain Networks Involved in Early versus Late Response Anticipation and Their Relation to Conflict Processing"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","715"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","European Child & Adolescent Psychiatry"],["dc.bibliographiccitation.lastpage","724"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Holl, Birgit"],["dc.contributor.author","Albrecht, Bjoern"],["dc.contributor.author","Schlamp, Dieter"],["dc.contributor.author","Kratz, Oliver"],["dc.contributor.author","Studer, Petra"],["dc.contributor.author","Rothenberger, Aribert"],["dc.contributor.author","Moll, Gunther H."],["dc.contributor.author","Heinrich, Hartmut"],["dc.date.accessioned","2018-11-07T08:39:38Z"],["dc.date.available","2018-11-07T08:39:38Z"],["dc.date.issued","2010"],["dc.description.abstract","Neurofeedback (NF) could help to improve attentional and self-management capabilities in children with attention-deficit/hyperactivity disorder (ADHD). In a randomised controlled trial, NF training was found to be superior to a computerised attention skills training (AST) (Gevensleben et al. in J Child Psychol Psychiatry 50(7):780-789, 2009). In the present paper, treatment effects at 6-month follow-up were studied. 94 children with ADHD, aged 8-12 years, completed either 36 sessions of NF training (n = 59) or a computerised AST (n = 35). Pre-training, post-training and follow-up assessment encompassed several behaviour rating scales (e.g., the German ADHD rating scale, FBB-HKS) completed by parents. Follow-up information was analysed in 61 children (ca. 65%) on a per-protocol basis. 17 children (of 33 dropouts) had started a medication after the end of the training or early in the follow-up period. Improvements in the NF group (n = 38) at follow-up were superior to those of the control group (n = 23) and comparable to the effects at the end of the training. For the FBB-HKS total score (primary outcome measure), a medium effect size of 0.71 was obtained at follow-up. A reduction of at least 25% in the primary outcome measure (responder criterion) was observed in 50% of the children in the NF group. In conclusion, behavioural improvements induced by NF training in children with ADHD were maintained at a 6-month follow-up. Though treatment effects appear to be limited, the results confirm the notion that NF is a clinically efficacious module in the treatment of children with ADHD."],["dc.description.sponsorship","German Research Foundation [HE 4536/2, MO 726/2, RO 698/4]"],["dc.identifier.doi","10.1007/s00787-010-0109-5"],["dc.identifier.isi","000281162600004"],["dc.identifier.pmid","20499120"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6775"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19045"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1018-8827"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S0301051121001629"],["dc.bibliographiccitation.firstpage","108169"],["dc.bibliographiccitation.journal","Biological Psychology"],["dc.contributor.author","Aggensteiner, Pascal-M"],["dc.contributor.author","Albrecht, Björn"],["dc.contributor.author","Strehl, Ute"],["dc.contributor.author","Wörz, Sonja"],["dc.contributor.author","Ruckes, Christian"],["dc.contributor.author","M Freitag, Christine"],["dc.contributor.author","Rothenberger, Aribert"],["dc.contributor.author","Gevensleben, Holger"],["dc.contributor.author","Millenet, Sabina"],["dc.contributor.author","Hohmann, Sarah"],["dc.contributor.author","Brandeis, Daniel"],["dc.date.accessioned","2021-09-01T06:42:52Z"],["dc.date.available","2021-09-01T06:42:52Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1016/j.biopsycho.2021.108169"],["dc.identifier.pii","S0301051121001629"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89163"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.issn","0301-0511"],["dc.title","Can Neurophysiological Markers of Anticipation and Attention predict ADHD severity and Neurofeedback Outcomes?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]