Rakebrandt, Fabian

[["dc.bibliographiccitation.firstpage","601"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Methods of Information in Medicine"],["dc.bibliographiccitation.lastpage","607"],["dc.bibliographiccitation.volume","49"],["dc.contributor.author","Helbing, Krister"],["dc.contributor.author","Demiroglu, Sara Yasemin"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","Pommerening, K."],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2018-11-07T08:48:08Z"],["dc.date.available","2018-11-07T08:48:08Z"],["dc.date.issued","2010"],["dc.description.abstract","Background The data protection requirements matured in parallel to new clinical tests generating more personal data since the 1960s About ten years ago it was recognized that a generic data protection scheme for medical research networks is required which reinforces patient rights but also allows economically feasible medical research compared to hand carved individual solutions Objectives To give recommendations for more efficient IT infrastructures for medical research networks in compliance with data protection requirements Methods The IT intrastructures of three medical research networks were reviewed with respect to the relevant data manage ment modules Recommendations are derived to increase cost efficiency in research net works assessing the consequences of a service provider approach without lowering the data protection level Results The existing data protection schemes are very complex Smaller research networks cannot afford the implementation of such schemes Larger networks struggle to keep them sustainable Due to a modular redesign in the medical research network community a new approach offers opportunities for an efficent sustainable IT infrastructure involving a service provider concept For standard components 70-80% of the costs could be cut down for open source components about 37% over a three year period Conclusions Future research networks should switch to a service oriented approach to achieve a sustainable, cost efficient IT infrastructure"],["dc.identifier.doi","10.3414/ME09-02-0058"],["dc.identifier.isi","000285774900007"],["dc.identifier.pmid","20644898"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6191"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21133"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Schattauer Gmbh-verlag Medizin Naturwissenschaften"],["dc.relation.issn","0026-1270"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","A Data Protection Scheme for Medical Research Networks Review after Five Years of Operation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","17"],["dc.bibliographiccitation.journal","BioMedical Engineering OnLine"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Verhey, Janko F."],["dc.contributor.author","Nathan, Nadia S."],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Kikinis, Ron"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","D'Ambra, Michael N."],["dc.date.accessioned","2018-11-07T10:08:17Z"],["dc.date.available","2018-11-07T10:08:17Z"],["dc.date.issued","2006"],["dc.description.abstract","Introduction: Mitral Valve (MV) 3D structural data can be easily obtained using standard transesophageal echocardiography ( TEE) devices but quantitative pre- and intraoperative volume analysis of the MV is presently not feasible in the cardiac operation room (OR). Finite element method (FEM) modelling is necessary to carry out precise and individual volume analysis and in the future will form the basis for simulation of cardiac interventions. Method: With the present retrospective pilot study we describe a method to transfer MV geometric data to 3D Slicer 2 software, an open-source medical visualization and analysis software package. A newly developed software program (ROIExtract) allowed selection of a region-of-interest (ROI) from the TEE data and data transformation for use in 3D Slicer. FEM models for quantitative volumetric studies were generated. Results: ROI selection permitted the visualization and calculations required to create a sequence of volume rendered models of the MV allowing time-based visualization of regional deformation. Quantitation of tissue volume, especially important in myxomatous degeneration can be carried out. Rendered volumes are shown in 3D as well as in time-resolved 4D animations. Conclusion: The visualization of the segmented MV may significantly enhance clinical interpretation. This method provides an infrastructure for the study of image guided assessment of clinical findings and surgical planning. For complete pre- and intraoperative 3D MV FEM analysis, three input elements are necessary: 1. time-gated, reality-based structural information, 2. continuous MV pressure and 3. instantaneous tissue elastance. The present process makes the first of these elements available. Volume defect analysis is essential to fully understand functional and geometrical dysfunction of but not limited to the valve. 3D Slicer was used for semi-automatic valve border detection and volume-rendering of clinical 3D echocardiographic data. FEM based models were also calculated. Method: A Philips/HP Sonos 5500 ultrasound device stores volume data as time-resolved 4D volume data sets. Data sets for three subjects were used. Since 3D Slicer does not process time-resolved data sets, we employed a standard movie maker to animate the individual time-based models and visualizations. Calculation time and model size were minimized. Pressures were also easily available. We speculate that calculation of instantaneous elastance may be possible using instantaneous pressure values and tissue deformation data derived from the animated FEM."],["dc.description.sponsorship","NCI NIH HHS [P01 CA067165]; NCRR NIH HHS [P41 RR013218]"],["dc.identifier.doi","10.1186/1475-925X-5-17"],["dc.identifier.isi","000242204800001"],["dc.identifier.pmid","16512925"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39446"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1475-925X"],["dc.title","Finite-element-method (FEM) model generation of time-resolved 3D echocardiographic geometry data for mitral-valve volumetry"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","S269"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Alzheimer s & Dementia"],["dc.bibliographiccitation.lastpage","S276"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Morgen, Katrin"],["dc.contributor.author","Ramirez, Alfredo"],["dc.contributor.author","Froelich, Lutz"],["dc.contributor.author","Tost, Heike"],["dc.contributor.author","Plichta, Michael M."],["dc.contributor.author","Koelsch, Heike"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Jessen, Frank"],["dc.contributor.author","Peters, Oliver"],["dc.contributor.author","Jahn, Holger"],["dc.contributor.author","Luckhaus, Christian"],["dc.contributor.author","Huell, Michael"],["dc.contributor.author","Gertz, Hermann-Josef"],["dc.contributor.author","Schroeder, Johannes"],["dc.contributor.author","Hampel, Harald"],["dc.contributor.author","Teipel, Stefan J."],["dc.contributor.author","Pantel, Johannes"],["dc.contributor.author","Heuser, Isabella"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Ruether, Eckart"],["dc.contributor.author","Kornhuber, Johannes"],["dc.contributor.author","Maier, Wolfgang"],["dc.contributor.author","Meyer-Lindenberg, Andreas"],["dc.date.accessioned","2018-11-07T09:34:54Z"],["dc.date.available","2018-11-07T09:34:54Z"],["dc.date.issued","2014"],["dc.description.abstract","Background: Evidence has emerged indicating that the epsilon 4 allele of APOE and PICALM interact in conferring risk of Alzheimer's disease (AD). The biologic basis of this interaction is unclear, but it is likely to have phenotypic relevance and contribute to the structural and clinical heterogeneity of AD. Methods: The aim of this study was to investigate interaction effects of the APOE epsilon 4 allele and the alleles at the single-nucleotide polymorphism rs3851179 located in the PICALM locus. We analyzed brain volumes and cognitive phenotypes of 165 patients with early AD dementia. Results: There was a synergistic adverse effect of homozygosity for the PICALM risk allele G in rs3851179 and APOE epsilon 4 on volume in prefrontal and performance on the Trail Making Test A, which is sensitive to processing speed and working memory function. Conclusions: The data suggest a neural mechanism for APOE-PICALM interactions in patients with manifest AD and indicate that the PICALM genotype modulates both brain atrophy and cognitive performance in APOE epsilon 4 carriers. (C) 2014 The Alzheimer's Association. All rights reserved."],["dc.identifier.doi","10.1016/j.jalz.2013.11.001"],["dc.identifier.isi","000366828100002"],["dc.identifier.pmid","24613704"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/32279"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","1552-5279"],["dc.relation.issn","1552-5260"],["dc.title","Genetic interaction of PICALM and APOE is associated with brain atrophy and cognitive impairment in Alzheimer's disease"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","244"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Psychiatry Research Neuroimaging"],["dc.bibliographiccitation.lastpage","250"],["dc.bibliographiccitation.volume","182"],["dc.contributor.author","Teipel, Stefan J."],["dc.contributor.author","Ewers, Michael"],["dc.contributor.author","Wolf, Stefanie"],["dc.contributor.author","Jessen, Frank"],["dc.contributor.author","Koelsch, Heike"],["dc.contributor.author","Arlt, Soenke"],["dc.contributor.author","Luckhaus, Christian"],["dc.contributor.author","Schoenknecht, Peter"],["dc.contributor.author","Schmidtke, Klaus"],["dc.contributor.author","Heuser, Isabella"],["dc.contributor.author","Froelich, Lutz"],["dc.contributor.author","Ende, Gabriele"],["dc.contributor.author","Pantel, Johannes"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","Peters, Oliver"],["dc.contributor.author","Born, Christine"],["dc.contributor.author","Kornhuber, Johannes"],["dc.contributor.author","Hampel, Harald"],["dc.date.accessioned","2018-11-07T08:42:07Z"],["dc.date.available","2018-11-07T08:42:07Z"],["dc.date.issued","2010"],["dc.description.abstract","Magnetic resonance imaging (MRI)-based volumetry of medial temporal lobe regions is among the best established biomarker candidates of Alzheimer's disease (AD) to date. This study assessed the effect of multicentre variability of MRI-based hippocampus and amygdala volumetry on the discrimination between patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) and on the association of morphological changes with ApoE4 genotype and cognition. We studied 113 patients with clinically probable AD and 150 patients with amnestic MCI using high-resolution MRI scans obtained at 12 clinical sites. We determined effect sizes of group discrimination and random effects linear models, considering multicentre variability. Hippocampus and amygdala volumes were significantly reduced in AD compared with MCI patients using data pooled across centres. Multicentre variability did not significantly affect the power to detect a volume difference between AD and MCI patients. Among cognitive measures, delayed recall of verbal and non-verbal material was significantly correlated with hippocampus and amygdala volumes. Amygdala and hippocampus volumes were not associated with ApoE4 genotype in AD or MCI. Our data indicate that multicentre acquisition of MRI data using manual volumetry is reliable and feasible for cross-sectional diagnostic studies, and they replicate essential findings from smaller scale monocentre studies. (C) 2010 Published by Elsevier Ireland Ltd."],["dc.description.sponsorship","Bundesministeriums fur Bildung und Forschung (BMBF) [01 GI 0102]"],["dc.identifier.doi","10.1016/j.pscychresns.2010.03.003"],["dc.identifier.isi","000279521300009"],["dc.identifier.pmid","20493672"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19635"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Ireland Ltd"],["dc.relation.issn","0925-4927"],["dc.title","Multicentre variability of MRI-based medial temporal lobe volumetry in Alzheimer's disease"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Alzheimer's Research & Therapy"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Morgen, Katrin"],["dc.contributor.author","Schneider, Michael"],["dc.contributor.author","Frölich, Lutz"],["dc.contributor.author","Tost, Heike"],["dc.contributor.author","Plichta, Michael M."],["dc.contributor.author","Kölsch, Heike"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Jessen, Frank"],["dc.contributor.author","Peters, Oliver"],["dc.contributor.author","Jahn, Holger"],["dc.contributor.author","Luckhaus, Christian"],["dc.contributor.author","Hüll, Michael"],["dc.contributor.author","Gertz, Hermann-Josef"],["dc.contributor.author","Schröder, Johannes"],["dc.contributor.author","Hampel, Harald"],["dc.contributor.author","Teipel, Stefan J."],["dc.contributor.author","Pantel, Johannes"],["dc.contributor.author","Heuser, Isabella"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Rüther, Eckart"],["dc.contributor.author","Kornhuber, Johannes"],["dc.contributor.author","Maier, Wolfgang"],["dc.contributor.author","Meyer-Lindenberg, Andreas"],["dc.date.accessioned","2017-09-07T11:44:26Z"],["dc.date.available","2017-09-07T11:44:26Z"],["dc.date.issued","2015"],["dc.description.abstract","ntroductionWhite matter (WM) magnetic resonance imaging (MRI) hyperintensities are common in Alzheimer’s disease (AD), but their pathophysiological relevance and relationship to genetic factors are unclear. In the present study, we investigated potential apolipoprotein E (APOE)-dependent effects on the extent and cognitive impact of WM hyperintensities in patients with AD.MethodsWM hyperintensity volume on fluid-attenuated inversion recovery images of 201 patients with AD (128 carriers and 73 non-carriers of the APOE ε4 risk allele) was determined globally as well as regionally with voxel-based lesion mapping. Clinical, neuropsychological and MRI data were collected from prospective multicenter trials conducted by the German Dementia Competence Network.ResultsWM hyperintensity volume was significantly greater in non-carriers of the APOE ε4 allele. Lesion distribution was similar among ε4 carriers and non-carriers. Only ε4 non-carriers showed a correlation between lesion volume and cognitive performance.ConclusionThe current findings indicate an increased prevalence of WM hyperintensities in non-carriers compared with carriers of the APOE ε4 allele among patients with AD. This is consistent with a possibly more pronounced contribution of heterogeneous vascular risk factors to WM damage and cognitive impairment in patients with AD without APOE ε4-mediated risk."],["dc.identifier.doi","10.1186/s13195-015-0111-8"],["dc.identifier.gro","3151652"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8469"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1758-9193"],["dc.title","Apolipoprotein E-dependent load of white matter hyperintensities in Alzheimer’s disease: a voxel-based lesion mapping study"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","389"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Alzheimer s Disease"],["dc.bibliographiccitation.lastpage","401"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Morgen, Katrin"],["dc.contributor.author","Froelich, Lutz"],["dc.contributor.author","Tost, Heike"],["dc.contributor.author","Plichta, Michael M."],["dc.contributor.author","Koelsch, Heike"],["dc.contributor.author","Rakebrandt, Fabian"],["dc.contributor.author","Rienhoff, Otto"],["dc.contributor.author","Jessen, Frank"],["dc.contributor.author","Peters, Oliver"],["dc.contributor.author","Jahn, Holger"],["dc.contributor.author","Luckhaus, Christian"],["dc.contributor.author","Huell, Michael"],["dc.contributor.author","Gertz, Hermann-Josef"],["dc.contributor.author","Schroeder, Johannes"],["dc.contributor.author","Hampel, Harald"],["dc.contributor.author","Teipel, Stefan J."],["dc.contributor.author","Pantel, Johannes"],["dc.contributor.author","Heuser, Isabella"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Ruether, Eckart"],["dc.contributor.author","Kornhuber, Johannes"],["dc.contributor.author","Maier, Wolfgang"],["dc.contributor.author","Meyer-Lindenberg, Andreas"],["dc.date.accessioned","2018-11-07T09:29:40Z"],["dc.date.available","2018-11-07T09:29:40Z"],["dc.date.issued","2013"],["dc.description.abstract","Background: The E4 isoform of the APOE genotype is the most significant genetic risk factor for sporadic Alzheimer's disease (AD) and has recently been found to modulate disease expression in patients with AD. Objective: To investigate APOE-dependent cognitive and structural phenotypes in subjects with mild cognitive impairment who converted to AD within the following three years. Methods: Subjects converting to AD (n = 63) were compared to a control group with stable mild cognitive impairment (n = 131). Clinical, neuropsychological, and MRI data were obtained by the German Dementia Competence Network. Subgroups of converting and stable APOE E4 carriers and non-carriers were investigated longitudinally with MRI to examine structural correlates of conversion. Voxel-based morphometry was applied to investigate gray matter distribution. Results: At baseline, executive performance correlated with global and bilateral prefrontal gray matter volume and predicted conversion only among non-carriers. Converting carriers and non-carriers presented distinct patterns of brain atrophy on longitudinal analysis, in line with a dissociation between more pronounced occipital atrophy in carriers and more frontoparietal volume loss in non-carriers at follow-up. Conclusions: The current findings suggest that in APOE E4 non-carriers with AD, executive dysfunction is closely linked to frontal gray matter atrophy and predictive of progression to dementia. The results are consistent with APOE genotype-dependent profiles of structural damage and cognitive decline in patients with imminent conversion to AD."],["dc.identifier.doi","10.3233/JAD-130326"],["dc.identifier.isi","000324338400013"],["dc.identifier.pmid","23948881"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31097"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ios Press"],["dc.relation.issn","1387-2877"],["dc.title","APOE-Dependent Phenotypes in Subjects with Mild Cognitive Impairment Converting to Alzheimer's Disease"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]