Focke, Niels K.

[["dc.bibliographiccitation.firstpage","170"],["dc.bibliographiccitation.journal","Epilepsia"],["dc.bibliographiccitation.lastpage","171"],["dc.bibliographiccitation.volume","52"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Helms, G."],["dc.contributor.author","Nitsche, M. A."],["dc.contributor.author","Paulus, Walter J."],["dc.date.accessioned","2018-11-07T08:53:26Z"],["dc.date.available","2018-11-07T08:53:26Z"],["dc.date.issued","2011"],["dc.identifier.isi","000294217200549"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22409"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.publisher.place","Malden"],["dc.relation.conference","29th International Epilepsy Congress"],["dc.relation.eventlocation","Rome, ITALY"],["dc.relation.issn","0013-9580"],["dc.title","IMAGE BIAS CORRECTION PROFOUNDLY INFLUENCES VOXEL-BASED MORPHOMETRY IN MESIAL TEMPORAL LOBE EPILEPSY"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1905"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Human Brain Mapping"],["dc.bibliographiccitation.lastpage","1915"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Helms, Gunther"],["dc.contributor.author","Scheewe, Sebstian"],["dc.contributor.author","Pantel, Pia M."],["dc.contributor.author","Bachmann, Cornelius G."],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Ebentheuer, Jens"],["dc.contributor.author","Mohr, Alexander"],["dc.contributor.author","Paulus, Walter J."],["dc.contributor.author","Trenkwalder, Claudia"],["dc.date.accessioned","2018-11-07T08:50:18Z"],["dc.date.available","2018-11-07T08:50:18Z"],["dc.date.issued","2011"],["dc.description.abstract","Voxel-based morphometry (VBM) shows a differentiated pattern in patients with atypical Parkinson syndrome but so far has had little impact in individual cases. It is desirable to translate VBM findings into clinical practice and individual classification. To this end, we examined whether a support vector machine (SVM) can provide useful accuracies for the differential diagnosis. We acquired a volumetric 3D T1-weighted MRI of 21 patients with idiopathic Parkinson syndrome (IPS), 11 multiple systems atrophy (MSA-P) and 10 progressive supranuclear palsy (PSP), and 22 healthy controls. Images were segmented, normalized, and compared at group level with SPM8 in a classical VBM design. Next, a SVM analysis was performed on an individual basis with leave-one-out cross-validation. VBM showed a strong white matter loss in the mesencephalon of patients with PSP, a putaminal grey matter loss in MSA, and a cerebellar grey matter loss in patients with PSP compared with IPS. The SVM allowed for an individual classification in PSP versus IPS with up to 96.8% accuracy with 90% sensitivity and 100% specificity. In MSA versus IPS, an accuracy of 71.9% was achieved; sensitivity, however, was low with 36.4%. Patients with IPS could not be differentiated from controls. In summary, a voxel-based SVM analysis allows for a reliable classification of individual cases in PSP that can be directly clinically useful. For patients with MSA and IPS, further developments like quantitative MRI are needed. Hum Brain Mapp 32:1905-1915, 2011. (C) 2011 Wiley Periodicals, Inc."],["dc.identifier.doi","10.1002/hbm.21161"],["dc.identifier.isi","000296850700012"],["dc.identifier.pmid","21246668"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21663"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1065-9471"],["dc.title","Individual Voxel-Based Subtype Prediction can Differentiate Progressive Supranuclear Palsy from Idiopathic Parkinson Syndrome and Healthy Controls"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1226"],["dc.bibliographiccitation.issue","14"],["dc.bibliographiccitation.journal","Neurology"],["dc.bibliographiccitation.lastpage","1234"],["dc.bibliographiccitation.volume","81"],["dc.contributor.author","Mollenhauer, B."],["dc.contributor.author","Trautmann, E."],["dc.contributor.author","Sixel-Doring, F."],["dc.contributor.author","Wicke, T."],["dc.contributor.author","Ebentheuer, J."],["dc.contributor.author","Schaumburg, M."],["dc.contributor.author","Lang, E."],["dc.contributor.author","Focke, N. K."],["dc.contributor.author","Kumar, K. R."],["dc.contributor.author","Trenkwalder, C."],["dc.contributor.authorgroup","On behalf of the DeNoPa Study Group"],["dc.date.accessioned","2021-06-01T10:48:12Z"],["dc.date.available","2021-06-01T10:48:12Z"],["dc.date.issued","2013"],["dc.description.abstract","Objective: To determine nonmotor signs (NMS) and evaluate the utility of several diagnostic tools in patients with de novo Parkinson disease (PD). Methods: This is a large single-center study of the DeNoPa cohort, including frequency-matched healthy controls. This study covers motor signs, NMS, and a combination of diagnostic tests including olfactory testing, transcranial sonography of substantia nigra (TCS), and polysomnography (PSG). We report the frequency and characteristics of NMS and the outcomes of nonmotor tests at the time of diagnosis. Results: Cross-sectional analyses of baseline investigations identified significant differences in the NMS Questionnaire (NMSQuest) and the Scopa-AUT Gastrointestinal score in 159 drug-naive PD patients vs 110 controls. In addition, patients with PD showed reduced olfactory function, hyperechogenicity on TCS, and higher frequency of REM sleep behavior disorder (RBD). In exploring predictive markers, we found that the combination of several investigations, i.e., the NMSQuest, Scopa-AUT Gastrointestinal score, and Smell Identification Test reached an area under the receiver operating characteristic curve (AUC) of 0.913 (95% confidence interval [CI] 0.878-0.948). With the addition of serum cholesterol and mean heart rate values, the AUC value reached 0.919 (95% CI 886-0.953); when TCS and PSG were added, the AUC increased to 0.963 (95% CI 0.943-0.982). Conclusions: We show feasibility and utility of standardized data acquisition in a large, single-center cohort of patients with de novo PD and matched healthy controls. The baseline results from our prospective investigations reached a value of >0.9 sensitivity and specificity for biological markers when we added routine laboratory investigations and quantified nonmotor features including sleep."],["dc.identifier.doi","10.1212/WNL.0b013e3182a6cbd5"],["dc.identifier.isi","000330768200012"],["dc.identifier.pmid","23997153"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85857"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Lippincott Williams & Wilkins"],["dc.relation.eissn","1526-632X"],["dc.relation.issn","0028-3878"],["dc.title","Nonmotor and diagnostic findings in subjects with de novo Parkinson disease of the DeNoPa cohort"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Epilepsia"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Klinker, Florian"],["dc.contributor.author","Nitsche, M."],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Paulus, Walter J."],["dc.contributor.author","Helms, G."],["dc.date.accessioned","2018-11-07T08:34:23Z"],["dc.date.available","2018-11-07T08:34:23Z"],["dc.date.issued","2009"],["dc.format.extent","58"],["dc.identifier.isi","000264881600193"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/17800"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell Publishing, Inc"],["dc.publisher.place","Malden"],["dc.relation.conference","8th European Congress on Epileptology"],["dc.relation.eventlocation","Berlin, GERMANY"],["dc.relation.issn","0013-9580"],["dc.title","FEASIBILITY OF A NOVEL, QUANTITATIVE MAGNETIZATION TRANSFER MAPPING TECHNIQUE IN FOCAL EPILEPSY"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","128"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Zeitschrift für Epileptologie"],["dc.bibliographiccitation.lastpage","133"],["dc.bibliographiccitation.volume","31"],["dc.contributor.author","Martin, Pascal"],["dc.contributor.author","Schmidt, Kathie"],["dc.contributor.author","Reimold, Matthias"],["dc.contributor.author","Bender, Benjamin"],["dc.contributor.author","Focke, Niels K."],["dc.date.accessioned","2020-12-10T14:11:15Z"],["dc.date.available","2020-12-10T14:11:15Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1007/s10309-018-0172-3"],["dc.identifier.eissn","1610-0646"],["dc.identifier.issn","1617-6782"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71018"],["dc.language.iso","de"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Multimodale Bildgebung"],["dc.title.alternative","Multimodal imaging. How do we solve the puzzle?"],["dc.title.subtitle","Wie fügen wir das Puzzle zusammen?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","533"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Epileptic disorders"],["dc.bibliographiccitation.lastpage","536"],["dc.bibliographiccitation.volume","23"],["dc.contributor.author","Beniczky, Sándor"],["dc.contributor.author","Husain, Aatif"],["dc.contributor.author","Ikeda, Akio"],["dc.contributor.author","Alabri, Haifa"],["dc.contributor.author","Cross, J. Helen"],["dc.contributor.author","Wilmshurst, Jo"],["dc.contributor.author","Seeck, Margitta"],["dc.contributor.author","Focke, Niels"],["dc.contributor.author","Braga, Patricia"],["dc.contributor.author","Wiebe, Samuel"],["dc.contributor.author","Trinka, Eugen"],["dc.date.accessioned","2021-09-01T06:38:22Z"],["dc.date.available","2021-09-01T06:38:22Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1684/epd.2021.1292"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88917"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","1950-6945"],["dc.relation.issn","1294-9361"],["dc.title","Importance of access to epilepsy monitoring units during the COVID-19 pandemic: consensus statement of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","863"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Brain Topography"],["dc.bibliographiccitation.lastpage","874"],["dc.bibliographiccitation.volume","31"],["dc.contributor.author","Li Hegner, Yiwen"],["dc.contributor.author","Marquetand, Justus"],["dc.contributor.author","Elshahabi, Adham"],["dc.contributor.author","Klamer, Silke"],["dc.contributor.author","Lerche, Holger"],["dc.contributor.author","Braun, Christoph"],["dc.contributor.author","Focke, Niels K."],["dc.date.accessioned","2020-12-10T14:11:25Z"],["dc.date.available","2020-12-10T14:11:25Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1007/s10548-018-0649-4"],["dc.identifier.eissn","1573-6792"],["dc.identifier.issn","0896-0267"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71068"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Increased Functional MEG Connectivity as a Hallmark of MRI-Negative Focal and Generalized Epilepsy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","92"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Brain Stimulation"],["dc.bibliographiccitation.lastpage","96"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Chaieb, Leila"],["dc.contributor.author","Antal, Andrea"],["dc.contributor.author","Pisoni, Alberto"],["dc.contributor.author","Saiote, Catarina"],["dc.contributor.author","Opitz, Alexander"],["dc.contributor.author","Ambrus, Geza Gergely"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Paulus, Walter J."],["dc.date.accessioned","2018-11-07T09:46:49Z"],["dc.date.available","2018-11-07T09:46:49Z"],["dc.date.issued","2014"],["dc.description.abstract","Background: Sinusoidal transcranial alternating current stimulation (tACS) at 5 kHz applied for 10 min at 1 mA intensity over the hand area of the primary motor cortex (M1) results in sustained changes in cortical excitability as previously demonstrated. Objective: Here we have assessed safety aspects of this stimulation method by measuring neuron-specific enolase (NSE) levels, examining electroencephalogram (EEG) traces and analyzing anatomical data by using magnetic resonance imaging (MRI). Methods: Altogether 18 healthy volunteers participated in the study. tACS was applied at 5 kHz for a duration of 10 min over the left M1 at an intensity of 1 mA. Results: After stimulation no significant changes were detected in NSE levels, no structural alterations were observed in the anatomical scans and no pathological changes were found in the EEG recordings. Conclusions: Our data imply that the application of tACS is safe at least within these parameters and with these applied protocols. (C) 2014 Elsevier Inc. All rights reserved."],["dc.identifier.doi","10.1016/j.brs.2013.08.004"],["dc.identifier.isi","000329947300014"],["dc.identifier.pmid","24064065"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34974"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","1876-4754"],["dc.relation.issn","1935-861X"],["dc.title","Safety of 5 kHz tACS"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2087"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","American Journal of Neuroradiology"],["dc.bibliographiccitation.lastpage","2092"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Helms, G."],["dc.contributor.author","Panthel, K."],["dc.contributor.author","Scheewe, Sebstian"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Bachmann, Cornelius G."],["dc.contributor.author","Ebentheuer, Jens"],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Paulus, Walter J."],["dc.contributor.author","Trenkwalder, Claudia"],["dc.date.accessioned","2018-11-07T08:49:06Z"],["dc.date.available","2018-11-07T08:49:06Z"],["dc.date.issued","2011"],["dc.description.abstract","BACKGROUND AND PURPOSE: The differential diagnosis of Parkinson syndromes remains a major challenge. Quantitative MR imaging can aid in this classification, but it is unclear which of the proposed techniques is best suited for this task. We, therefore, conducted a head-to-head study with different quantitative MR imaging measurements in patients with IPS, MSA-type Parkinson, PSP, and healthy elderly controls. MATERIALS AND METHODS: Thirty-one patients and 13 controls underwent a comprehensive quantitative MR imaging protocol including R2 -, R2- and R1-mapping, magnetization transfer, and DTI with manual region-of-interest measurements in basal ganglia regions. Group differences were assessed with a post hoc ANOVA with a Bonferroni error correction and an ROC. RESULTS: The best separation of MSA from (PS in patients and controls could be achieved with R2 -mapping in the PU, with an ROC AUC of <= 0.96, resulting in a sensitivity of 77.8% (with a specificity 100%). MD was increased in patients with PSP compared with controls and to a lesser extent compared with those with IPS and MSA in the SN. CONCLUSIONS: Among the applied quantitative MR imaging methods, R2 -mapping seems to have the best predictive power to separate patients with MSA from those with IPS, and DTI for identifying PSP."],["dc.identifier.doi","10.3174/ajnr.A2865"],["dc.identifier.isi","000298775200021"],["dc.identifier.pmid","21998102"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21378"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Soc Neuroradiology"],["dc.relation.issn","0195-6108"],["dc.title","Differentiation of Typical and Atypical Parkinson Syndromes by Quantitative MR Imaging"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1164"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","NeuroImage"],["dc.bibliographiccitation.lastpage","1170"],["dc.bibliographiccitation.volume","56"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Helms, G."],["dc.contributor.author","Kaspar, S."],["dc.contributor.author","Diederich, Christine"],["dc.contributor.author","Toth, V."],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Mohr, A."],["dc.contributor.author","Paulus, Walter J."],["dc.date.accessioned","2018-11-07T08:55:43Z"],["dc.date.available","2018-11-07T08:55:43Z"],["dc.date.issued","2011"],["dc.description.abstract","Voxel-based morphometry (VBM) is a widely applied method in computational neurosciences but it is currently recommended to compare only data collected at a single MRI scanner. Multi-site VBM would be a desirable approach to increase group size and, thus, statistical power. We aimed to assess if multi-site VBM is feasible on similar hardware and compare the magnitude of inter- and intra-scanner differences. 18 healthy subjects were scanned in two identical 3 T MRI scanners using different head coil designs, twice in scanner A and once in scanner B. 3D T1-weighted images were processed with SPM8 and FSL4.1 and compared as paired t-test (scan versus re-scan) on a voxel basis by means of a general linear model (GLM). Additionally, coefficient-of-difference (coeffD) maps were calculated for respective pairs of gray matter segmentations. We found considerable inter-scanner differences clearly exceeding a commonly used GLM significance threshold of p<0.05 (FWE corrected). The spatial pattern of detected differences was dependent on whether SPM8 or FSL4.1 was used. The inclusion of global correcting factors either aggravated (SPM8) or reduced the GLM detected differences ( FSL4.1). The coeffD analysis revealed markedly higher variability within the FSL4.1 stream both for the inter- and the intra-scanner comparison. A lowered bias cutoff (30 mm FWHM) in SPM8 improved the comparability for cortical areas. lima-scanner scan/re-scan differences were generally weaker and did not exceed a p<0.05 (FWE corrected) threshold in the GEM analysis. At 3 T profound inter-scanner differences are to be expected that could severely confound an unbalanced VBM analysis. These are like related to the receive bias of the radio-frequency hardware. (C) 2011 Elsevier Inc. All rights reserved."],["dc.description.sponsorship","University Medical Center Gottingen(\"Ruckkehrer-Startforderung\")"],["dc.identifier.doi","10.1016/j.neuroimage.2011.02.029"],["dc.identifier.isi","000290649300031"],["dc.identifier.pmid","21324367"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22970"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Academic Press Inc Elsevier Science"],["dc.relation.issn","1053-8119"],["dc.title","Multi-site voxel-based morphometry - Not quite there yet"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]