Forschungsschwerpunkte
Mit Hilfe quantitativer Bildgebungsmethoden untersuche ich die Beinmuskulatur bei Patienten mit neuromuskulären Erkrankungen. Dabei liegt mein Fokus auf der Etablierung von Biomarkern zur Evaluation von neuen therapeutischen Ansätzen und zur Überwachung von Krankheitsprogress.
Methoden und Forschungsinteressen
• quantitative Bildgebungsmethoden
• Funktionelle Magnetresonanztomographie fMRT
• Diffusions Tensorbildgebung (DTI)
• Voxelbasierte Morphometrie (VBM)
Curriculum Vitae
07/2022
Habilitation (Venia legendi für Experimentelle Neurologie)
seit 01/2020
Leiterin der Arbeitsgruppe Quantitative Muskelbilgebung
seit 01/2018
PostDoc AG Neurowissenschaftliche Bildgebung am UK Bergmannsheil
01/2017-12/2018
Research School Plus Gateway Fellow. University Medical Center Utrecht, Niederlande
05/2016-12/2016
PostDoc AG Neurowissenschaftliche Bildgebung am UK Bergmannsheil
04/2016
Promotion (Dr.rer.nat., summa cum laude) in Biologie. Dissertation "Kortikale Plastizität beim Erlernen des Morse Codes-Untersuchungen zum Übergang zwischen perzeptuellem und semantischem Lernen im menschlichen Gehirn"
10/2012-04/2016
Promotionsstudium Neurowissenschaften an der Internationalen Graduiertenschule für Biowissenschaften der Ruhr-Universität Bochum in der AG Neurowissenschaftliche Bildgebung am UK Bergmannsheil
10/2011-10/2012
M.Sc. Biologie an der Ruhr-Universität Bochum
Thema: Kortikale Korrelate der „Theory of mind“ bei Kampf- und Ausdauersportlern
Angefertigt AG Neurowissenschaftliche Bildgebung am UK Bergmannsheil
Publikationen
Enax-Krumova E, Forsting J, Rohm M, Schwenkreis P, Tegenthoff M, Meyer-Frießem CH, Schlaffke L. Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post-COVID-19 condition. Eur J Neurol. 2023 Apr;30(4):970-981. doi: 10.1111/ene.15709. Epub 2023 Feb 15. PMID: 36693812.
Forsting J, Rohm M, Froeling M, Güttsches AK, Südkamp N, Roos A, Vorgerd M, Schlaffke L, Rehmann R. Quantitative muscle MRI captures early muscle degeneration in calpainopathy. Sci Rep. 2022 Nov 16;12(1):19676. doi: 10.1038/s41598-022-23972-6. PMID: 36385624; PMCID: PMC9669006.
Forsting J, Rehmann R, Rohm M, Güttsches AK, Froeling M, Kan HE, Tegenthoff M, Vorgerd M, Schlaffke L. Robustness and stability of volume-based tractography in a multicenter setting. NMR Biomed. 2022 Jul;35(7):e4707. doi: 10.1002/nbm.4707. Epub 2022 Feb 18. PMID: 35102637.
Rohm M, Markmann M, Forsting J, Rehmann R, Froeling M, Schlaffke L. 3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset. Diagnostics (Basel). 2021 Sep 23;11(10):1747. doi: 10.3390/diagnostics11101747. PMID: 34679445; PMCID: PMC8534967.
Forsting J, Rohm M, Froeling M, Güttsches AK, Vorgerd M, Schlaffke L Rehmann R. High Inter-Rater Reliability of Manual Segmentation and Volume-Based Tractography in Healthy and Dystrophic Human Calf Muscle. Diagnostics (Basel). 2021 Aug 24;11(9):1521. doi: 10.3390/diagnostics11091521. PMID: 34573863; PMCID: PMC8466691.
Tabrik S, Behroozi M, Schlaffke L, Heba S, Lenz M, Lissek S, Güntürkün O, Dinse HR, Tegenthoff M. Visual and Tactile Sensory Systems Share Common Features in Object Recognition. eNeuro. 2021 Oct 4;8(5):ENEURO.0101-21.2021. doi: 10.1523/ENEURO.0101-21.2021. PMID: 34544756; PMCID: PMC8493885.
Rehmann R, Schneider-Gold C, Froeling M, Güttsches AK, Rohm M, Forsting J, Vorgerd M, Schlaffke L. Diffusion Tensor Imaging Shows Differences Between Myotonic Dystrophy Type 1 and Type 2. J Neuromuscul Dis. 2021;8(6):949-962. doi: 10.3233/JND-210660. PMID: 34180419.
Güttsches AK, Rehmann R, Schreiner A, Rohm M, Forsting J, Froeling M, Tegenthoff M, Vorgerd M, Schlaffke, L.. Quantitative Muscle-MRI Correlates with Histopathology in Skeletal Muscle Biopsies. J Neuromuscul Dis. 2021;8(4):669-678. doi: 10.3233/JND-210641. PMID: 33814461.
Junker, F. B., Schlaffke, L., Axmacher, N., & Schmidt-Wilcke, T. Impact of multisensory learning on perceptual and lexical processing of unisensory Morse code. Brain Research, 2021 1755, 147259
Bettmann JH, Meyer-Frießem CH, Schweizer LM, Schlaffke L, Zahn PK, Tegenthoff M, Höffken O. Transcutaneous spinal direct current stimulation shows no effect on paired stimulation suppression of the somatosensory cortex. Sci Rep. 2020 Dec 15;10(1):22010
Forsting J, Rehmann R, Froeling M, Schlaffke L. Evaluation of interrater reliability of different muscle segmentation techniques in diffusion tensor imaging. NMR Biomed. 2020 e4430:1-11
Stouge A, Khan KS, Kristensen AG, Tankisi H, Schlaffke L, Froeling M, Væggemose M, Andersen H. MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy. Radiology. 2020 Dec;297(3):608-619
Junker FB, Schlaffke L, Bellebaum C, Ghio M, Brühl S, Axmacher N, Schmidt-Wilcke T. Transition From Sublexical to Lexico-Semantic Stimulus Processing. Front Syst Neurosci. 2020 Oct 30;14:522384
Queiroz de Paiva JP, Magalhães SC, Moura LM, Sato JR, Amaro E, Sterr A, Schlaffke L, Eckeli AL, Fernandes do Prado G, Conforto AB (2020): Sensorimotor white matter projections and disease severity in primary Restless Legs Syndrome/ Willis-Ekbom Disease: a multimodal DTI analysis. Sleep Med. 2020;73:106–16 https://doi.org/10.1016/j.sleep.2020.05.040.
Rehmann R, Froeling M, Rohm M, Forsting J, Kley RA, Schmidt-Wilcke T, Karabul N, Tegenthoff M, Vorgerd M, Schlaffke L (2020): Muscle Diffusion tensor imaging reveals changes in non-fat infiltrated muscles in late-onset Pompe disease. Muscle and Nerve 2020;62:541-549
Otto LAM, van den Pol L, Schlaffke L, Wijngaarde CA, Stam M, Wadmann R, Cuppen I, van Eijk R, Asselman F-L, Bartels B, van der Woude D, Hendrikse J, Froeling M (2020): Quantitative MRI of skeletal muscle in a cross-sectional cohort of Spinal Muscular Atrophy patients type 2-3. NMR Biomed 2020;33:e4357
Wang BA, Schlaffke L, Pleger B (2020): Modulations of insular projections by prior belief mediate the precision of prediction error during tactile learning. J Neurosci 40:3827–3837.
Forsting J, Rehmann R, Froeling M, Vorgerd M, Tegenthoff M, Schlaffke L (2020): Diffusion Tensor Imaging of the Human Thigh: Consideration of DTI-based fiber tracking stop criteria. MAGMA 33:343–355.
Schlaffke L, Friedrich S, Tegenthoff M, Güntürkün O, Genc E, Ocklenburg S (2020): Boom Chack Boom - A multimethod investigation of motor inhibition in professional drummers. Brain Behav 10:e01490.
De Luca A, Schlaffke L, Siero J, Froeling M, Leemans A (2019): On the sensitivity of the diffusion MRI signal to brain activity in response to a motor cortex paradigm. Hum Brain Mapp:1–14.
Schlaffke L, Rehmann R, Rohm M, Otto L, De Luca A, Burakiewicz J, Baligand C, Monte J, den Harder C, Hooijmans MT, Nederveen AJ, Schlaeger S, Weidlich D, Karampinos DC, Stouge A, Vaeggemose M, D’Angelo M, Arrigoni F, Kan HE, Froeling M (2019): Multicenter evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles. NMR Biomed:1–14.
Ocklenburg S, Anderson C, Gerding WM, Fraenz C, Schlüter C, Friedrich P, Raane M, Mädler B, Schlaffke L, Arning L, Epplen JT, Güntürkün O, Beste C, Genç E (2018) Myelin Water Fraction Imaging Reveals Hemispheric Asymmetries in Human White Matter That Are Associated with Genetic Variation in PLP1. Mol Neurobiol.
Rehmann R*, Schlaffke L*, Froeling M, Kley RA, Kühnle E, De Mareés M, Forsting J, Rohm M, Tegenthoff M, Schmidt-wilcke T, Vorgerd M (2018): Muscle diffusion tensor imaging in Glycogen storage disease V (McArdle disease). Eur Radiol 29:3224–3232.
Schlaffke L, Leemans A, Schweizer LM, Ocklenburg S, Schmidt-Wilcke T (2017). Learning Morse Code Alters Microstructural Properties in the Inferior Longitudinal Fasciculus: A DTI Study. Front Hum Neurosci 11: 383.
Schlaffke, L.*, Rehmann, R.*, Froeling, M., Kley, R., Tegenthoff, M., Vorgerd, M., & Schmidt-Wilcke, T. (2017). Diffusion Tensor Imaging of the Human Calf : Variation of Inter- and Intramuscle-Specific Diffusion Parameters. J Magn Reson Imaging, 1–12. doi:10.1002/jmri.25650
Schlaffke, L., Schweizer, L., Rüther, N. N., Luerding, R., Tegenthoff, M., Bellebaum, C., & Schmidt-Wilcke, T. (2016). Dynamic changes of resting state connectivity related to the acquisition of a lexico-semantic skill. NeuroImage. doi:10.1016/j.msea.2016.06.054
Schlaffke, L.*, Golisch, A.*, Haag, L. M.*, Lenz, M., Heba, S., Lissek, S., … Tegenthoff, M. (2015). The Brain’s Dress Code: How The Dress allows to decode the neuronal pathway of an optical illusion. Cortex, 73, 271–275.
Schlaffke L, Rüther NN, Heba S, Haag LM, Schultz T, Rosengarth K, Tegenthoff M, Bellebaum C, Schmidt-Wilcke T (2015b) From perceptual to lexico-semantic analysis-cortical plasticity enabling new levels of processing. Hum Brain Mapp
Schlaffke, L., Lissek, S., Lenz, M., Juckel, G., Schultz, T., Tegenthoff, M., Schmidt-Wilcke, T., Brüne, M. (2014): Shared and non-shared neural networks of cognitive and affective theory-of-mind: a neuroimaging study using cartoon picture stories. Human Brain Mapping, in press.
Ocklenburg S, Schlaffke L, Hugdahl K, Westerhausen R (2014) From structure to function in the lateralized brain: How structural properties of the arcuate and uncinate fasciculus are associated with dichotic listening performance. Neurosci Lett 580:32–36.
Lissek S, Vallana GS, Schlaffke L, Lenz M, Dinse HR, Tegenthoff M (2014) Opposing effects of dopamine antagonism in a motor sequence task - tiapride increases cortical excitability and impairs motor learning. Front Behav Neurosci 8
Gerber P*, Schlaffke L*, Heba S, Greenlee MW, Schultz T, Schmidt-Wilcke T (2014) Juggling revisited - A voxel-based morphometry study with expert jugglers. Neuroimage 95:320–325.
Schlaffke L, Lissek S, Lenz M, Brüne M, Juckel G, Hinrichs T, Platen P, Tegenthoff M, Schmidt-Wilcke T (2014) Sports and brain morphology - a voxel based morphometry study with endurance athletes and martial artists. Neuroscience 259:35–42.
Wiens V, Schlaffke L, Schmidt-Wilcke T, Schultz T (2014) Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes. EuroVis:1–6.
Schultz T, Schlaffke L, Schölkopf B, Schmidt-Wilcke T (2013) HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization. Comput Graph Forum 32:121–130.