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Mathematisch-Naturwissenschaftliche FakultätInstitut für Zoologie - AG Daun

Originalarbeiten

  • Rosjat N, Wang BA, Liu L, Fink G, Daun S. 2021. Stimulus transformation into motor action: Dynamic graph analysis reveals aging effects on brain network communication. Human Brain Mapping 42(5): 1547-1563.
  • Viswanathan S, Abdollahi RO, Wang BA, Grefkes C, Fink GR, Daun S. 2020. A response-locking protocol to boost sensitivity for fMRI-based neurochronometry. Human Brain Mapping 41(12); 3420-3438.
  • Yeldesbay A, Daun S. 2020. Intra- and intersegmental neural network architectures determining rhythmic motor activity in insect locomotion. Communications in Nonlinear Science and Numerical Simulation, 82, March 2020, 105078.
  • Toth TI, Daun S. 2019. A kinematic model of stick insect walking. Physiological Reports 7(8): e14080.
  • Daun S, Mantziaris C, Toth TI, Büschges A, Rosjat N. 2019. Unravelling intra- and intersegmental neuronal connectivity between central pattern generating networks in a multi-legged locomotor system. PLoS One, 14(8):e0220767.
  • Yeldesbay, A., Fink, G. R., & Daun, S. (2019). Reconstruction of effective connectivity in the case of asymmetric phase distributions. Journal of Neuroscience Methods, 317(February), 94–107. https://doi.org/10.1016/j.jneumeth.2019.02.009
  • Viswanathan S, Wang BA, Abdollahi RO, Daun S, Grefkes G, Fink GR. 2018. Freely chosen and instructed actions are terminated by different neural mechanisms revealed by kinematics-informed EEG. Neuroimage, DOI:10.1016/j.neuroimage.2018.12.005
  • Rosjat N, Liu L, Wang BA, Popovych S, Toth T, Viswanathan S, Grefkes C, Fink, GR, Daun S. 2018. Aging-associated changes of movement-related functional connectivity in the human brain. Neuropsychologia 117, 520-529.
  • Yeldesbay, A., Toth, T.I., Daun, S. 2018. The role of phase shifts of sensory inputs in walking revealed by means of phase reduction. Journal of Computational Neuroscience, 44(1), 313-339.
  • Toth, T.I., Berg, E., Daun, S., 2017. Modeling search movements of an insect's front leg. Physiological Reports, DOI: 10.14814/phy2.13489.
  • Liu, L., Rosjat, N., Popovych, S., Wang, B.A., Yeldesbay, A., Toth, T.I., Viswanathan, S., Grefkes, C.B., Fink, G.F., Daun, S., 2017. Age-related changes in oscillatory power affect motor action. Plos One 12(11):e0187911.
  • Mantziaris C, Bockemühl T, Holmes P, Borgmann A, Daun S, Büschges A. (2017) Intra- and intersegmental influences among central pattern generating networks in the working system of the stick insect. J Neurophysiol, 118(4), 2296-2310.
  • Wang B, Viswanathan S, Abdollahi R, Rosjat N, Popovych S, Daun S, Grefkes C, Fink G.R. (2017) Frequency-specific modulation of connectivity in the ipsilateral sensorimotor cortex by different forms of movement initiation. Neuroimage, 159, 248-260.
  • Toth, T., Daun, S., 2017. Effects of functional decoupling of a leg in a model of stick insect walking incorporating three ispilateral legs. Physiological Reports, 5(4), e13154.
  • Popovych, S., Rosjat, N., Toth, T.I., Wang, B.A., Liu, L., Abdollahi, R.O., Viswanathan, S., Grefkes, C., Fink, G.R., Daun, S., 2016. Movement-related phase locking in the delta-theta frequency band. Neuroimage. Jun 29. doi: 10.1016/j.neuroimage.2016.06.052. [Epub ahead of print]
  • Parker, R.S., Hogg, Roy, A., J.S., Kellum, J.A., Rimmele, T., Daun-Gruhn, S., Fedorchak, M.V., Valenti, I.E., Federspiel, W.J., Rubin, J., Vodovotz, Y., Lagoa, C., Clermont, G., 2016. Modeling and Hemofiltration Treatment of Acute Inflammation, Processes, 4(4), 38, doi:10.3390/pr4040038
  • Toth, T.I., Daun-Gruhn, S., 2015. A three-leg model producing tetrapod and tripod coordination patterns of ipsilateral legs in the stick insect. J Neurophysiol, DOI: 10.1152/jn.00693.2015
  • Grabowska, M., Toth, T.I., Smarandache-Wellmann, C., Daun-Gruhn, S., 2015. A network model comprising 4 segmental, interconnected ganglia, and its application to simulate multi-legged locomotion in crustaceans, J Comput Neurosci, online first, DOI 10.1007/s10827-015-0559-3.
  • Toth, T.I., Grabowska, M., Rosjat, N., Hellekes, K., Borgmann, A., Daun-Gruhn, S., 2015. Investigating inter-segmental connections between thoracic ganglia in the stick insect by means of experimental and simulated phase response curves. Biol Cybern, online first, DOI 10.1007/s00422-015-0647-5.
  • Rosjat, N., Popovych, S., Daun-Gruhn, S., 2014. A mathematical model of dysfunction of the thalamo-cortical loop in schizophrenia. Theoretical Biology and Medical Modelling, 11(45), 1-21.
  • Toth, T.I.,  Schmidt, J., Büschges, A., Daun-Gruhn, S. 2013. A neuro-mechanical model of a single leg joint highlighting the fundamental physiological role of fast and slow muscle fibres of an insect muscle system. PLOS ONE, DOI: 10.1371/journal.pone.0078247
  • Toth, T.I.,  Grabowska, M., Schmidt, J., Büschges, A., Daun-Gruhn, S., 2013. A neuro-mechanical model explaining the physiological role of fast and slow muscle fibres at stop and start of stepping of an insect leg. PLOS ONE, DOI: 10.1371/journal.pone.0078246
  • Knops, S., Toth, T.I., Guschlbauer, C., Gruhn, M., Daun-Gruhn, S., 2012. A neuromechanical model for curve walking in the stick insect. Journal of Neurophysiology. J Neurophysiol, 109(3), 679-691
  • Blümel, M., Guschlbauer, C., Daun-Gruhn, S., Hooper, S.L., Büschges, A., 2012. Hilltype muscle model parameters determined from experiments on single muscles show large animal-to-animal variation. Biol Cybern, 106(10), 559-571
  • Grabowska, M., Godlewska, E., Schmidt, J., Daun-Gruhn, S., 2012. Quadrupedal gaits in hexapod animals – Stepping patterns in free-walking adult stick insects. J Exp Biol, 215, 4255-4266
  • Toth, T.I., Knops, S., Daun-Gruhn, S., 2012. A neuro-mechanical model explaining forward and backward stepping in the stick insect. Journal of Neurophysiology, 107(12), 3267-80.
  • Borgmann, A., Toth, T.I., Gruhn, M., Daun-Gruhn, S.*, Büschges, A.*, 2011. Dominance of local load signals over inter-segmental effects in a motor system. I. Experiments, Biological Cybernetics, 105(5-6), 399-411; *shared senior authorship
  • Daun-Gruhn, S., Toth, T.I., Borgmann, A., 2011. Dominance of local load signals over inter-segmental effects in a motor system. II. Simulation studies, Biological Cybernetics, 105(5-6), 413-426.
  • Daun-Gruhn, S. and Toth, T.I., 2011. An inter-segmental network model and its use in elucidating gait-switches in the stick insect, Journal of Computational Neuroscience, 31(1), 43-60.
  • Toth, T.I. and Daun-Gruhn, S., 2011. A putative neuronal network controlling the activity of the leg motoneurons of the stick insect. NeuroReport, 22(18), 943-946.
  • Daun-Gruhn, S., 2011. A mathematical modeling study of inter-segmental coordination during stick insect walking, Journal of Computational Neuroscience, 30(2), 255-278.
  • Daun, S. Rubin, J., Rybak, I., 2009. Control of oscillation periods and phase durations in half-center central pattern generators: a comparative mechanistic analysis, Journal of Computational Neuroscience, 27(1), 3-36.
  • Daun, S., Rubin, J., Parker, P., Roy, A., Clermont, G., 2008. An Ensemble of Models of the Acute Inflammatory Response to Bacterial Lipopolysaccharide in Rats: Results from Parameter Space Reduction, Journal of Theoretical Biology, 253(4):843-53.
  • Daun, S. and Tjardes, T., 2007. Modeling, analysis and calculation of cerebral hemodynamics. Computational and Mathematical Methods in Medicine, 8(3). 205-223.
  • Daun, S. and Tjardes, T., 2005. Development of a species-specific model of cerebral hemodynamics. Journal of Theoretical Medicine, 6(3), 181-195.

Übersichtsartikel

  • Ayali, A., Borgmann, A., Büschges, A., Couzin-Fuchs, E., Daun-Gruhn, S., Holmes, P., 2015. The comparative investigation of the stick insect and cockroach models in the study of insect locomotion. Current Opinion in Insect Science 12: 1-10
  • Büschges, A., Daun-Gruhn, S., Gruhn, M, Schmidt, J., 2014. The complexity of the ordinary – the neural control of locomotion. In: S. Leyssen, P. Rathgeber (eds), Bilder animierter Bewegung, Wilhelm Fink Verlag; 1. Edition; EAN: 9783770556243.
  • Daun-Gruhn, S. and Büschges, A., 2011. From neuron to behavior: Dynamic equation-based prediction of biological processes in motor control, Biological Cybernetics, 105(1), 71-88.
  • Daun, S., Rubin, J., Vodovotz, Y., Clermont, G., 2008. Equation-based models of dynamic biological systems. Journal of Critical Care, 23(4), 585-594.
  • Daun, S. and Clermont, G., 2007. In silico modeling in infectious disease, Drug Discovery Today: Dis Models, (only available online: since 3 October 2007) (invited review).

Kurzartikel

  • Daun, S., Toth, T.I., 2017. Modelling of leg decoupling in the stick insect and its possible significance for understanding the workings of the locomotor system. BMC Neuroscience, 18 (Suppl1):P205.
  • Daun, S., Popovych, S., Liu, L., Wang, B,A., Toth, T.I., Grefkes, C., Fink, G.R., Rosjat, N., 2017. Movement-related delta-theta synchronization in young and elderly healthy subjects. BMC Neuroscience, 18 (Suppl1):P229.
  • Popovych, S., Viswanathan, S., Rosjat, N., Grefkes, C., Fink, G.R., Daun, S., 2017. Phase dynamics in a GO/NOGO finger tapping task. BMC Neuroscience, 18(Suppl1):P44.
  • Popovych, S., Rosjat, N., Liu, L., Yeldesbay, A., Toth, T., Wang, B., Abdollahi, R., Viswanathan, S., Grefkes, C., Fink, G.R., Daun-Gruhn, S., 2016. Phase-locking as a neurophysiological marker of movement execution in young and elderly subjects. Clinical Neurophysiology, 127(9):e287.
  • Rosjat, N., Popovych, S., Wang, B., Liu, L., Toth, T.I., Abdollahi, R., Viswanathan, S:, Grefkes, C., Fink, G.R., Daun-Gruhn, S., 2016. Phase-locking analysis of EEG-data in movement related tasks reveals functional network of synchronous activity. Clinical Neurophysiology, 127(9):e288.
  • Toth, T.I., Berg, E., Büschges, A., Schmidt, J., Daun-Gruhn, S., 2015. Modelling searching movements of the front leg in the stick insect by means of a neuro-muscular model. BMC Neuroscience, 16 (Suppl 1):P50.
  • Rosjat, N., Daun-Gruhn, S., Popovych, S., 2013. Mathematical model of the thalamo-cortical loop by dysfunction in schizophrenia. BMC Neuroscience, 14 (Suppl 1):P320.
  • Popovych, S., Colliene, U., Hess, S., Kloppneburg, P., Daun-Gruhn, S., 2013. Computational model of midbrain dopaminergic neuron activity in ageing and obesity. BMC Neuroscience, 14 (Suppl 1):P85.
  • Daun-Gruhn, S., Büschges, A., Toth, T.I., 2013. A neuro-mechanical model containing fast and slow muscle fibres applied to mimic stop and re-start of a stepping leg. BMC Neurosience, 14(1):86.
  • Daun-Gruhn, S., Toth, T.I., 2011. A model of the levator-depressor neuro-mechanical system of the stick insct leg. BMC Neuroscience, 12 (Suppl 1):P337.

Abschlussarbeiten

  • Daun-Gruhn, S., 2013. Neural control of 6-legged locomotion, Habilitation thesis, University of Cologne.
  • Daun, S., 2006. Modellierung, Analyse und Berechnung der zerebrovaskularen Regulationsmechanismen. Doctoral Dissertation, University of Cologne, Germany.
  • Daun, S., 2003. Bifurkationen im Beeler-Reuter Modell. Diploma Thesis, University of Cologne, Germany.