Dr. rer. nat. Lara Schlaffke

MSc. Biology
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Main research

Using functional and structural imaging I´m investigating changes in the brain occurring due to learning processes. My main focus is the analysis of brain regions involved in levels of processing and those involved in crossmodal transfer and multimodal learning approaches. Within the last years my second focus is on quantitative muscle imaging in neuromuscular diseases.


Methods and Research Interests

• quantitative imaging methods
• Crossmodal Transfer
• Multimodal Learning
• Functional magnetic resonance imaging fMRI
• Diffusion Tensor Imaging (DTI - cortex and muscles)
• Voxel based Morphometrie (VBM)


Curriculum vitae

since 01/2018
PostDoc in the Neuroimaging Research Group Neuroplasticity/Learning at the University Clinic Bergmannsheil.

01/2017-12/2017
Research School Plus Gateway Fellow at the University Medical Center Utrecht, Netherlands

05/2016-12/2016
PostDoc in the Neuroimaging Research Group Neuroplasticity/Learning at the University Clinic Bergmannsheil.

04/2016
Promotion (Dr.rer.nat., summa cum laude) in Biology. Thesis "Cortical plasticity when learning Morse Code-Investigations of the transition between perceptual and
semantic learning in the human brain"

10/2012-04/2016
PhD-Student in the Neuroimaging Research Group Neuroplasticity/Learning at the University Clinic Bergmannsheil.

10/2011 - 10/2012
M.Sc. Biology at the Ruhr-University Bochum
Topic: Cortical correlates of “theory of mind” comparing long-distance athletes and martial artists


Publications

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 Mar 27. doi: 10.3233/JND-210641. Epub ahead of print. PMID: 33814461.

Junker, F. B., Schlaffke, L., Axmacher, N., & Schmidt-Wilcke, T. (2021). Impact of multisensory learning on perceptual and lexical processing of unisensory Morse code. Brain Research, 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.