L. Butry, J. Thomä, J. Forsting, E. Enax-Krumova, and L. Schlaffke, “Cross-vendor reliability of functional and structural brain connectivity in a travelling cohort,” Scientific Reports, vol. 16, no. 1, p. 12071, 2026, doi: 10.1038/s41598-026-47705-1
N. Südkamp et al., “Age, muscle, and gender specific characterization of muscle degeneration in a mouse model of calpainopathy,” Scientific Reports, vol. 15, no. 1, p. 32507, 2025, doi: 10.1038/s41598-025-17742-3
L. Butry et al., “Brain network properties in chronic pain—a systematic review and meta-analysis of graph-based connectivity metrics,” Frontiers in Neuroscience, vol. 19, 2025, doi: 10.3389/fnins.2025.1672542
L. Butry et al., “Lumbar tactile acuity associated with S1-thalamic functional connectivity and S1 microstructure in patients with low back pain and pain-free controls,” Pain, 2025, doi: 10.1097/j.pain.0000000000003841
L. Heskamp, L. Schlaffke, J. Forsting, B. T. H. M. Sleutjes, H. S. Goedee, and F. Martijn, “Fasciculation distribution in a healthy population assessed with diffusion tensor imaging,” Physiological Reports, vol. 13, no. 6, p. e70247, 2025, doi: 10.14814/phy2.70247
A.-K. Güttsches et al., “Pre- and post-skeletal muscle biopsy quantitative magnetic resonance imaging reveals correlations with histopathological findings,” European Journal of Neurology, vol. 31, no. 12, p. e16479, 2024, doi: 10.1111/ene.16479
M. T. Hooijmans, L. Schlaffke, B. Bolsterlee, S. Schlaeger, B. Marty, and V. Mazzoli, “Compositional and Functional MRI of Skeletal Muscle: A Review,” Journal of Magnetic Resonance Imaging, vol. 60, no. 3, pp. 860–877, 2024, doi: 10.1002/jmri.29091
L. Schlaffke et al., “Evaluation of Neuromuscular Diseases and Complaints by Quantitative Muscle MRI,” Journal of Clinical Medicine, vol. 13, no. 7, p. 1958, 2024, doi: 10.3390/jcm13071958
L. Tan et al., “Non-invasive optoacoustic imaging of glycogen-storage and muscle degeneration in late-onset Pompe disease,” Nature Communications, vol. 15, no. 1, p. 7843, 2024, doi: 10.1038/s41467-024-52143-6
A. Nostadt et al., “Microstructural differences in the cingulum and the inferior longitudinal fasciculus are associated with (extinction) learning,” BMC Psychology, vol. 12, p. 324, 2024, doi: 10.1186/s40359-024-01800-y
J. Forsting et al., “Prospective longitudinal cohort study of quantitative muscle magnetic resonance imaging in a healthy control population,” NMR in Biomedicine, vol. 37, no. 11, p. e5214, 2024, doi: 10.1002/nbm.5214
L. Schlaffke et al., “Quantitative muscle MRI in sporadic inclusion body myositis (sIBM),” Journal of Neuromuscular Diseases, vol. 11, no. 5, pp. 997–1009, 2024, doi: 10.3233/jnd-240053
F. B. Junker, L. Schlaffke, J. Lange, and T. Schmidt-Wilcke, “The angular gyrus serves as an interface between the non-lexical reading network and the semantic system: evidence from dynamic causal modeling,” Brain Structure and Function, vol. 229, pp. 561–575, 2024, doi: 10.1007/s00429-023-02624-z
J. Forsting et al., “Quantitative muscle magnetic resonance imaging in limb‐girdle muscular dystrophy type R1 (LGMDR1),” NMR in biomedicine, vol. 37, no. 10, 2024, doi: 10.1002/nbm.5172
T. Gerussi, J.-M. Graïc, B. Cozzi, L. Schlaffke, O. Güntürkün, and M. Behroozi, “Constrained spherical deconvolution on diffusion-weighted images of dolphin brains,” Magnetic Resonance Imaging, 2024, doi: 10.1016/j.mri.2024.02.002
R. Zeng et al., “Expertenempfehlung zur Magnetresonanztomographie bei Muskelerkrankungen,” Der Nervenarzt, vol. 95, no. August 2024, pp. 721–729, 2024, doi: 10.1007/s00115-024-01673-x
R. Rehmann, E. Enax-Krumova, C. Meyer-Friessem, and L. Schlaffke, “Quantitative muscle MRI displays clinically relevant myostructural abnormalities in long-term ICU-survivors: a case–control study,” BMC medical imaging, vol. 23, p. 38, 2023, doi: 10.1186/s12880-023-00995-7
F. Junker, L. Schlaffke, J. Lange, and T. Schmidt-Wilcke, “The angular gyrus serves as an interface between the non-lexical reading network and the semantic system,” Brain structure & function, pp. 561–575, 2023, doi: 10.1007/s00429-023-02624-z
R. Rehmann, E. K. Enax-Krumova, C. Meyer-Frießem, and L. Schlaffke, “Quantitative muscle MRI displays clinically relevant myostructural abnormalities in long-term ICU-survivors,” BMC medical imaging, vol. 23, p. 38, 2023, doi: 10.1186/s12880-023-00995-7
E. Enax‐Krumova et al., “Reply to Finsterer and Mehri “Assessing post‐COVID myopathy by MRI requires large cohorts and comparison with a gold standard,”” European Journal of Neurology, vol. 30, pp. 1839–1840, 2023, doi: 10.1111/ene.15774
M. Rohm et al., “Muscle diffusion MRI reveals autophagic buildup in a mouse model for Pompe disease,” Scientific Reports, vol. 13, p. 22822, 2023, doi: 10.1038/s41598-023-49971-9
M. Rohm et al., “Dysregulation of Metabolism and Proteostasis in Skeletal Muscle of a Presymptomatic Pompe Mouse Model,” Cells, vol. 12, no. 12, p. 1602, 2023, doi: 10.3390/cells12121602
E. Enax‐Krumova et al., “Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post‐COVID‐19 condition,” European Journal of Neurology, vol. 30, no. 4, pp. 970–981, 2023, doi: 10.1111/ene.15709
T. Gerussi et al., “The prefrontal cortex of the bottlenose dolphin (Tursiops truncatus Montagu, 1821): a tractography study and comparison with the human,” Brain Structure and Function, vol. 228, no. 8, pp. 1963–1976, 2023, doi: 10.1007/s00429-023-02699-8
D. Belavy et al., “Evidence- and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study,” PLOS ONE, vol. 18, no. 8, p. e0282346, 2023, doi: 10.1371/journal.pone.0282346
A.-K. Güttsches et al., “Diffusion tensor imaging (mDTI) in myotonic dystrophy type 1 and type 2,” Neuromuscular disorders, vol. 31, no. Supplement 1, p. S130, 2022, doi: 10.1016/j.nmd.2022.07.368
Diese Seite verwendet Cookies, um die Funktionalität der Webseite zu gewährleisten und statistische Daten zu erheben. Sie können der statistischen Erhebung über die Datenschutzeinstellungen widersprechen (Opt-Out).
