Zu den Inhalten springen

Research Interest

Automated Diagnosing

Clinical applications

Klöppel S, Peter J, Ludl A, Pilatus A, Maier S, Mader I, Heimbach B, Frings L, Egger K, Dukart J, Schroeter ML, Perneczky R, Häussermann P, Vach W, Urbach H, Teipel S, Hüll M, Abdulkadir A; ADNI. Applying automated MR-based diagnostic methods to the memory clinic. A prospective study. Journal of Alzheimer's disease: 47 (4) (in press).

Schmitter D, Roche A, Maréchal B, Ribes D, Abdulkadir A, Bach-Cuadra M,Daducci A, Granziera C, Klöppel S, Maeder P, Meuli R, Krueger G (2014). An evaluation of volume-based morphometry forprediction of mild cognitive impairment and Alzheimer's disease. Neuroimage Clinical: 7,7-17.

Dyrba M, Ewers M, Wegrzyn M, Kilimann I, Plant C, Oswald A, Meindl T, Pievani M, Bokde AL, Fellgiebel A, Filippi M, Hampel H, Klöppel S, Hauenstein K, KirsteT, Teipel SJ; EDSD study group (2013). Robust automated detection of microstructuralwhite matter degeneration in Alzheimer's disease using machine learningclassification of multicenter DTI data. PLoS One: 8(5):e64925. 

Teipel SJ, Wegrzyn M, Meindl T, Frisoni G, Bokde AL, Fellgiebel A, Filippi M, Hampel H, Klöppel S, Hauenstein K, Ewers M; EDSD study group (2012). Anatomical MRI and DTI in the diagnosis of Alzheimer's disease: a European multicenter study. Journal of Alzheimers Disease: 31 Suppl 3:S33-47.

Bendfeldt K, Klöppel S, Nichols TE, Smieskova R, Kuster P, Traud S,Mueller-Lenke N, Naegelin Y, Kappos L, Radue EW, Borgwardt SJ (2012). Multivariate pattern classification of gray matter pathology in multiple sclerosis.Neuroimage: 60(1), 400-8.

Teipel SJ, Reuter S, Stieltjes B, Acosta-Cabronero J, Ernemann U, FellgiebelA, Filippi M, Frisoni G, Hentschel F, Jessen F, Klöppel S, Meindl T, Pouwels PJ, Hauenstein KH, Hampel H. Multicenter stability of diffusion tensor imagingmeasures: a European clinical and physical phantom study (2011). Psychiatry Research: 194(3),363-71.

Stonnington CM, Chu C, Klöppel S, Jack CR Jr, Ashburner J, Frackowiak RS;Alzheimer Disease Neuroimaging Initiative (2010). Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. Neuroimage: 51(4),1405-13.

Klöppel S, Stonnington CM, Chu C, Draganski B, Scahill RI, Rohrer JD, Fox NC, Jack CR Jr, Ashburner J, Frackowiak RS (2008). Automatic classification of MR scans in Alzheimer's disease. Brain:131(Pt 3),681-9.

Klöppel S, Stonnington CM, Barnes J, Chen F, Chu C, Good CD, Mader I, Mitchell LA, Patel AC, Roberts CC, Fox NC, Jack CR Jr, Ashburner J, Frackowiak RS (2008). Accuracy of dementia diagnosis: a direct comparison between radiologists and a computerized method. Brain: 131(Pt 11),2969-74. 

Methods

Kostro D, Abdulkadir A, Durr A, Roos R, Leavitt BR, Johnson H, Cash D, TabriziSJ, Scahill RI, Ronneberger O, Klöppel S; Track-HD Investigators. Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing (2014). Neuroimage: 98,405-15.

Abdulkadir A, Ronneberger O, Wolf RC, Pfleiderer B, Saft C, Klöppel S.Functional and structural MRI biomarkers to detect pre-clinicalneurodegeneration (2013). Current Alzheimer Research: 10(2),125-34.

Abdulkadir A, Mortamet B, Vemuri P, Jack CR Jr, Krueger G, Klöppel S;Alzheimer's Disease Neuroimaging Initiative. Effects of hardware heterogeneity onthe performance of SVM Alzheimer's disease classifier (2011). Neuroimage: 58(3),785-92.

Klöppel S, Abdulkadir A, Hadjidemetriou S, Issleib S, Frings L, Thanh TN,Mader I, Teipel SJ, Hüll M, Ronneberger O. A comparison of different automatedmethods for the detection of white matter lesions in MRI data (2011). Neuroimage: 57(2),416-22.

Ashburner J, Klöppel S. Multivariate models of inter-subject anatomicalvariability (2011). Neuroimage: 56(2), 422-39.

Review articles

Klöppel S, Abdulkadir A, Jack CR Jr, Koutsouleris N, Mourão-Miranda J, Vemuri P (2012). Diagnostic neuroimaging across diseases. Neuroimage: 61(2),457-63.

Klöppel S (2010) Neue Möglichkeiten der automatisierten Demenzdiagnostik. Nervenarzt 81:1456-1459. [Full text]

Klöppel S (2009) Brain morphometry and functional imaging techniques in dementia: methods, findings and relevance in forensic neurology. Curr Opin Neurol 22:612-616.

Response in the mediaBBC

Compensatory brain changes

Original Paper

Sebastian A, Baldermann C, Feige B, Katzev M, Scheller E, Hellwig B, Lieb K,Weiller C, Tüscher O, Klöppel S (2013). Differential effects of age on subcomponents of response inhibition. Neurobioly of Aging: 34(9),2183-93.

Scheller E, Abdulkadir A, Peter J, Tabrizi SJ, Frackowiak RS, Klöppel S (2013). Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration. Neuroimage: 75,146-54.

Klöppel S, Draganski B, Siebner HR, Tabrizi SJ, Weiller C, Frackowiak RS (2009). Functional compensation of motor function in pre-symptomatic Huntington's disease. Brain:132 (Pt 6), 1624-32.

Klöppel S et al. (2007) Can left-handedness be switched? Insights from an early switch of handwriting. Journal of Neuroscience 27:7847-7853. 

Klöppel S et al. (2010) Nurture versus nature: long-term impact of forced right-handedness on structure of pericentral cortex and basal ganglia. Journal of Neuroscience 30:3271-3275.

Review articles  Scheller E, Minkova L, Leitner M, Klöppel S (2014). Attempted and successful compensation in preclinical and early manifest neurodegeneration - a review of task FMRI studies. Frontiers in Psychiatry:5,132.
Response in the media

Curriculum Vitae

since 2014Head of the University Memory Clinic
2011

Board-certified Psychiatrist and Head of Freiburg Brain Imaging

2007-2011 Clinical research fellow at the Freiburg Brain Imaging Center
2005-2007Wellcome Trust Centre for Neuroimaging, London, UK Development of multivariate classification techniques for neurodegenerative diseases. Supervisors: Prof. Richard Frackowiak and Dr. John Ashburner
2004-2005Neuroimage Nord, Hamburg, Research on handedness and brain plasticity Supervisor: Prof. Hartwig Siebner
1996-2003 Studies in medicine at the Universities of Freiburg und Vienna