Focke, Niels K.

[["dc.bibliographiccitation.firstpage","246"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Epilepsy Research"],["dc.bibliographiccitation.lastpage","254"],["dc.bibliographiccitation.volume","95"],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Powell, Rob"],["dc.contributor.author","Thompson, Pamela J."],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Stretton, Jason"],["dc.contributor.author","Vollmar, Christian"],["dc.contributor.author","Symms, Mark R."],["dc.contributor.author","Price, Cathy J."],["dc.contributor.author","Duncan, John S."],["dc.contributor.author","Koepp, Matthias J."],["dc.date.accessioned","2018-11-07T08:53:33Z"],["dc.date.available","2018-11-07T08:53:33Z"],["dc.date.issued","2011"],["dc.description.abstract","Purpose: In patients with left temporal lobe epilepsy (TLE) due to hippocampal sclerosis (HS) decreased naming ability is common, suggesting a critical role for the medial left temporal lobe in this task. We investigated the integrity of language networks with functional MRI (fMRI) in controls and TLE patients. Experimental design: We performed an fMRI verbal fluency paradigm in 22 controls and 66 patients with unilateral mesial TLE (37 left HS, 29 right HS). Verbal fluency and naming ability were investigated as part of the standard presurgical neuropsychological assessment. Naming ability was assessed using a visual confrontation naming test. Results: Left TLE patients had significantly tower naming scores than controls and those with right TLE. Right TLE patients performed less well than controls, but better than those with left TLE. Left TLE had significantly lower scores for verbal fluency than controls. In controls and right TLE, left hippocampal activation during the verbal fluency task was significantly correlated with naming, characterised by higher scores in subjects with greater hippocampal fMRI activation. In left TLE no correlation with naming scores was seen in the left hippocampus, but there was a significant correlation in the left middle and inferior frontal gyri, not observed in controls and right TLE. In left and right TLE, out of scanner verbal fluency scores significantly correlated with fMRI activation for verbal fluency in the left middle and inferior frontal gyri. Conclusion: Good confrontation naming ability depends on the integrity of the hippocampus and the connecting fronto-temporal networks. Functional MRI activation in the left hippocampus during verbal fluency is associated with naming function in healthy controls and patients with right TLE. In left TLE, there was evidence of involvement of the left frontal lobe when naming was more proficient, most likely reflecting a compensatory response due to the ongoing epileptic activity and/or underlying pathology. (C) 2011 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.eplepsyres.2011.04.007"],["dc.identifier.isi","000293727600009"],["dc.identifier.pmid","21592730"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11299"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22438"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","0920-1211"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.title","Hippocampal activation correlates with visual confrontation naming: fMRI findings in controls and patients with temporal lobe epilepsy"],["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","1656"],["dc.bibliographiccitation.journal","Brain"],["dc.bibliographiccitation.lastpage","1668"],["dc.bibliographiccitation.volume","132"],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Cercignani, M."],["dc.contributor.author","Acheson, J."],["dc.contributor.author","Parker, G. J. M."],["dc.contributor.author","Alexander, Daniel C."],["dc.contributor.author","McEvoy, A. W."],["dc.contributor.author","Symms, Mark R."],["dc.contributor.author","Koepp, Matthias J."],["dc.contributor.author","Duncan, John S."],["dc.date.accessioned","2018-11-07T08:28:58Z"],["dc.date.available","2018-11-07T08:28:58Z"],["dc.date.issued","2009"],["dc.description.abstract","Anterior temporal lobe resection is often complicated by superior quadrantic visual field deficits (VFDs). In some cases this can be severe enough to prohibit driving, even if a patient is free of seizures. These deficits are caused by damage to Meyers loop of the optic radiation, which shows considerable heterogeneity in its anterior extent. This structure cannot be distinguished using clinical magnetic resonance imaging sequences. Diffusion tensor tractography is an advanced magnetic resonance imaging technique that enables the parcellation of white matter. Using seed voxels antero-lateral to the lateral geniculate nucleus, we applied this technique to 20 control subjects, and 21 postoperative patients. All patients had visual fields assessed with Goldmann perimetry at least three months after surgery. We measured the distance from the tip of Meyers loop to the temporal pole and horn in all subjects. In addition, we measured the size of temporal lobe resection using postoperative T-1-weighted images, and quantified VFDs. Nine patients suffered VFDs ranging from 22 to 87 of the contralateral superior quadrant. In patients, the range of distance from the tip of Meyers loop to the temporal pole was 2443 mm (mean 34 mm), and the range of distance from the tip of Meyers loop to the temporal horn was 15 to 9 mm (mean 0 mm). In controls the range of distance from the tip of Meyers loop to the temporal pole was 2447 mm (mean 35 mm), and the range of distance from the tip of Meyers loop to the temporal horn was 11 to 9 mm (mean 0 mm). Both quantitative and qualitative results were in accord with recent dissections of cadaveric brains, and analysis of postoperative VFDs and resection volumes. By applying a linear regression analysis we showed that both distance from the tip of Meyers loop to the temporal pole and the size of resection were significant predictors of the postoperative VFDs. We conclude that there is considerable variation in the anterior extent of Meyers loop. In view of this, diffusion tensor tractography of the optic radiation is a potentially useful method to assess an individual patients risk of postoperative VFDs following anterior temporal lobe resection."],["dc.identifier.doi","10.1093/brain/awp114"],["dc.identifier.isi","000266498400031"],["dc.identifier.pmid","19460796"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13540"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/16542"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","1460-2156"],["dc.relation.issn","0006-8950"],["dc.rights","CC BY-NC 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/byby-nc/2.0"],["dc.title","Defining Meyers looptemporal lobe resections, visual field deficits and diffusion tensor tractography"],["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","1484"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Epilepsia"],["dc.bibliographiccitation.lastpage","1490"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","Scott, Catherine"],["dc.contributor.author","Symms, Mark R."],["dc.contributor.author","Duncan, John S."],["dc.date.accessioned","2018-11-07T08:29:07Z"],["dc.date.available","2018-11-07T08:29:07Z"],["dc.date.issued","2009"],["dc.description.abstract","Background: Patients with focal epilepsy that is refractory to medical treatment are often considered candidates for resective surgery. Magnetic resonance imaging (MRI) has a very important role in the presurgical work-up of these patients, but is unremarkable in about one-third of cases. These patients are often deferred from surgery or have a less positive outcome if surgery is eventually undertaken. The aim of this study was to evaluate our recently described voxel-based technique using routine T2-FLAIR (fluid-attenuated inversion-recovery) scans in MRI-negative patients and to compare the results with video-EEG (electroencephalography) telemetry (VT) findings. Methods: We identified 70 epilepsy patients with refractory focal seizures who underwent VT and had a normal routine MRI. T2-FLAIR scans were bias-corrected, and intensity and spatially normalized (nFSI) using Statistical Parametric Mapping 5 (SPM5) as previously described. Individual scans were then compared against a set of 25 normal controls using a voxel-based method. Results: SPM5 identified 10 patients with suprathreshold clusters (14.3%). In 50% of these there was concordance between the lobe of the most significant cluster and the presumed lobe of seizure onset, as defined by VT. All cases were concordant with respect to lateralization of the putative focus. Conclusion: Using nFSI we identified focal structural cerebral abnormalities in 11.4% of patients with refractory focal seizures, and normal conventional MRI, that were fully or partially concordant with scalp VT. This voxel-based analysis of FLAIR scans, which are widely available, could provide a useful tool in the presurgical evaluation of epilepsy patients. Ongoing work is to compare these imaging findings with the results of intracranial EEG and histology of surgical resections."],["dc.identifier.doi","10.1111/j.1528-1167.2009.02022.x"],["dc.identifier.isi","000266838100019"],["dc.identifier.pmid","19292759"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/16571"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell Publishing, Inc"],["dc.relation.issn","0013-9580"],["dc.title","Automated normalized FLAIR imaging in MRI-negative patients with refractory focal epilepsy"],["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","Yogarajah, Mahinda"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Parker, G."],["dc.contributor.author","Alexander, Daniel C."],["dc.contributor.author","Thompson, P."],["dc.contributor.author","Symms, M."],["dc.contributor.author","Koepp, M."],["dc.contributor.author","Duncan, John S."],["dc.date.accessioned","2018-11-07T11:23:29Z"],["dc.date.available","2018-11-07T11:23:29Z"],["dc.date.issued","2009"],["dc.format.extent","131"],["dc.identifier.isi","000270433800474"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/56210"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell Publishing, Inc"],["dc.publisher.place","Malden"],["dc.relation.conference","28th International Epilespy Congress"],["dc.relation.eventlocation","Budapest, HUNGARY"],["dc.relation.issn","0013-9580"],["dc.title","TRACTOGRAPHY AND THE DISTRIBUTED NETWORK DAMAGE UNDERLYING MEMORY IMPAIRMENT IN 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","728"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","NeuroImage"],["dc.bibliographiccitation.lastpage","737"],["dc.bibliographiccitation.volume","40"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Bartlett, Philippa A."],["dc.contributor.author","Symms, Mark R."],["dc.contributor.author","Duncan, John S."],["dc.date.accessioned","2018-11-07T11:16:47Z"],["dc.date.available","2018-11-07T11:16:47Z"],["dc.date.issued","2008"],["dc.description.abstract","Background: Mesial temporal lobe epilepsy (mTLE) with hippocampus sclerosis (HS) is an important cause for focal epilepsy. In this study, we explored the integrity of connecting networks using diffusion tensor imaging (DTI) and two whole-brain voxel-based methods: statistical parametric mapping (SPM) and tract-based spatial statistics (TBSS). Methods: Thirty-three consecutive patients with mTLE and HS undergoing presurgical evaluation were scanned at 3 T, a DTI data set was acquired and parametric maps of fractional anisotropy (FA) and mean diffusivity (MD) were calculated. Twenty-one patients had left hippocampal sclerosis (LHS) and 12 patients had right HS (RHS). These groups were compared to 37 normal control subjects using both SPM5 and TBSS. Results: The ipsilateral temporal lobe showed widespread FA reduction in both groups. The limbic system was clearly abnormal in the LHS group, also involving the arcuate fasciculus. In RHS, changes were more restricted but also showed involvement of the contralateral temporal and inferior frontal lobe. Increased MD was found in the ipsilateral hippocampus by SPM that was only marginally detected by TBSS. In white matter regions, however, TBSS was more sensitive to changes than SPM. Conclusion: DT1 detects extensive changes in mTLE with HS. The affected networks were principally in the ipsilateral temporal lobe and the limbic system but also the arcuate fasciculus. SPM and TBSS gave complementary information with higher sensitivity to FA changes using TBSS. (c) 2008 Elsevier Inc. All rights reserved."],["dc.description.sponsorship","Medical Research Council [G9805989]; Wellcome Trust [, 067176]"],["dc.identifier.doi","10.1016/j.neuroimage.2007.12.031"],["dc.identifier.isi","000254627700033"],["dc.identifier.pmid","18261930"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/54673"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Academic Press Inc Elsevier Science"],["dc.relation.issn","1053-8119"],["dc.title","Voxel-based diffusion tensor imaging in patients with mesial temporal lobe epilepsy and hippocampal sclerosis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Journal of Neurology Neurosurgery & Psychiatry"],["dc.bibliographiccitation.volume","81"],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","McEvoy, Andrew W."],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Duncan, John S."],["dc.contributor.author","Koepp, M."],["dc.contributor.author","Symms, M."],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Thompson, P."],["dc.contributor.author","Vollmar, Christian"],["dc.date.accessioned","2018-11-07T08:37:38Z"],["dc.date.available","2018-11-07T08:37:38Z"],["dc.date.issued","2010"],["dc.format.extent","E24"],["dc.identifier.doi","10.1136/jnnp.2010.226340.29"],["dc.identifier.isi","000283354800030"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/18583"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","B M J Publishing Group"],["dc.publisher.place","London"],["dc.relation.conference","Annual Meeting of the Association-of-British-Neurologists"],["dc.relation.eventlocation","Bournemouth, ENGLAND"],["dc.relation.issn","0022-3050"],["dc.title","STRUCTURAL PLASTICITY OF WHITE MATTER NETWORKS FOLLOWING ANTERIOR TEMPORAL LOBE RESECTION"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2348"],["dc.bibliographiccitation.journal","Brain"],["dc.bibliographiccitation.lastpage","2364"],["dc.bibliographiccitation.volume","133"],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Bonelli, Silvia B."],["dc.contributor.author","Thompson, Pamela J."],["dc.contributor.author","Vollmar, Christian"],["dc.contributor.author","McEvoy, Andrew W."],["dc.contributor.author","Alexander, Daniel C."],["dc.contributor.author","Symms, Mark R."],["dc.contributor.author","Koepp, Matthias J."],["dc.contributor.author","Duncan, John S."],["dc.date.accessioned","2018-11-07T08:40:38Z"],["dc.date.available","2018-11-07T08:40:38Z"],["dc.date.issued","2010"],["dc.description.abstract","Anterior temporal lobe resection is an effective treatment for refractory temporal lobe epilepsy. The structural consequences of such surgery in the white matter, and how these relate to language function after surgery remain unknown. We carried out a longitudinal study with diffusion tensor imaging in 26 left and 20 right temporal lobe epilepsy patients before and a mean of 4.5 months after anterior temporal lobe resection. The whole-brain analysis technique tract-based spatial statistics was used to compare pre- and postoperative data in the left and right temporal lobe epilepsy groups separately. We observed widespread, significant, mean 7%, decreases in fractional anisotropy in white matter networks connected to the area of resection, following both left and right temporal lobe resections. However, we also observed a widespread, mean 8%, increase in fractional anisotropy after left anterior temporal lobe resection in the ipsilateral external capsule and posterior limb of the internal capsule, and corona radiata. These findings were confirmed on analysis of the native clusters and hand drawn regions of interest. Postoperative tractography seeded from this area suggests that this cluster is part of the ventro-medial language network. The mean pre- and postoperative fractional anisotropy and parallel diffusivity in this cluster were significantly correlated with postoperative verbal fluency and naming test scores. In addition, the percentage change in parallel diffusivity in this cluster was correlated with the percentage change in verbal fluency after anterior temporal lobe resection, such that the bigger the increase in parallel diffusivity, the smaller the fall in language proficiency after surgery. We suggest that the findings of increased fractional anisotropy in this ventro-medial language network represent structural reorganization in response to the anterior temporal lobe resection, which may damage the more susceptible dorso-lateral language pathway. These findings have important implications for our understanding of brain injury and rehabilitation, and may also prove useful in the prediction and minimization of postoperative language deficits."],["dc.identifier.doi","10.1093/brain/awq175"],["dc.identifier.isi","000280982700016"],["dc.identifier.pmid","20826432"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13538"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19278"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","0006-8950"],["dc.rights","CC BY-NC 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/2.5"],["dc.title","The structural plasticity of white matter networks following anterior temporal lobe resection"],["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","356"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","NeuroImage"],["dc.bibliographiccitation.lastpage","362"],["dc.bibliographiccitation.volume","59"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Yogarajah, Mahinda"],["dc.contributor.author","Symms, Mark R."],["dc.contributor.author","Gruber, Oliver"],["dc.contributor.author","Paulus, Walter J."],["dc.contributor.author","Duncan, John S."],["dc.date.accessioned","2018-11-07T09:14:28Z"],["dc.date.available","2018-11-07T09:14:28Z"],["dc.date.issued","2012"],["dc.description.abstract","In those with drug refractory focal epilepsy, MR imaging is important for identifying structural causes of seizures that may be amenable to surgical treatment. In up to 25% of potential surgical candidates, however, MRI is reported as unremarkable even when employing epilepsy specific sequences. Automated MRI classification is a desirable tool to augment the interpretation of images, especially when changes are subtle or distributed and may be missed on visual inspection. Support vector machines (SVM) have recently been described to be useful for voxel-based MR image classification. In the present study we sought to evaluate whether this method is feasible in temporal lobe epilepsy, with adequate accuracy. We studied 38 patients with hippocampal sclerosis and unilateral (mesial) temporal lobe epilepsy (mTLE) (20 left) undergoing presurgical evaluation and 22 neurologically normal control subjects. 3D T1-weighted images were acquired at 3T (GE Excite), segmented into tissue classes, normalized and smoothed with SPM8. Diffusion tensor imaging (DTI) and double echo images for T2 relaxometry were also acquired and processed. The SVM analysis was done with the libsvm software package in a leave-one-out cross-validation design and predictive accuracy was measured. Local weighting was applied by SPM F-contrast maps. Best accuracies were achieved using the gray matter based segmentation (90-100%) and mean diffusivity (95-97%). For the three-way classification, accuracies were 88 and 93% respectively. Local weighting generally improved the accuracies except in the FA-based processing for which no effect was noted. Removing the hippocampus from the analysis, on the other hand, reduced the obtainable diagnostic indices but these were still > 90% for DTI-based methods and lateralization based on gray matter maps. These findings show that automated SVM image classification can achieve high diagnostic accuracy in mTLE and that voxel-based MRI can be used at the individual subject level. This could be helpful for screening assessments of MRI scans in patients with epilepsy and when no lesion is detected on visual evaluation. (C) 2011 Elsevier Inc. All rights reserved."],["dc.identifier.doi","10.1016/j.neuroimage.2011.07.068"],["dc.identifier.isi","000296265500036"],["dc.identifier.pmid","21835245"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27417"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Academic Press Inc Elsevier Science"],["dc.relation.issn","1053-8119"],["dc.title","Automated MR image classification in temporal lobe epilepsy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]