MEG-Physik
Die Magnetenzephalografie (MEG) ist ein nicht-invasives Verfahren zur Messung von magnetischen Feldkomponenten, die durch die Informationsverarbeitung im menschlichen Gehirn entstehen. Durch die sehr hohe zeitliche Auflösung des MEG im Bereich von Millisekunden können auch sehr schnell ablaufende elektrophysiologische Prozesse aufgespürt und analysiert werden. Der Schwerpunkt unserer Arbeiten liegt im Bereich der Methodenentwicklung. Die Kombination von Daten aus MEG und anderen Signal- und Bildgebungsverfahren führt dabei zu einem Informationsgewinn und ist ein wichtiger Bestandteil unserer Forschung. Eine immer währende Herausforderung dabei ist, die Grenzen der Detektierbarkeit und Lokalisierungen zu immer schwächeren neuromagnetischen Feldern zu verschieben. Unser Interesse gilt dabei den Entwicklungen von speziellen Auswerteverfahren, die es erlauben, selbst schwache Magnetquellen in tieferen Hirnregionen zu lokalisieren. Eine aktuelle weitere Herausforderung, der wir uns stellen, ist die Echtzeitanalyse von schnellen dynamischen Prozessen im Gehirn. Hierzu werden spezielle Hard- und Softwarekomponenten mit Unterstützung von Partnerinstituten am Forschungszentrum entwickelt. Durch die Echtzeitanalyse ist es möglich auf neuronale Prozesse instantan einzuwirken, um diese ggf. zu beeinflussen, und somit das Netzwerk der Informationsverarbeitung besser verstehen zu lernen. Aus der Kombination von Echtzeitanalyse und Neurofeedback-Techniken erhofft man sich neue Zugänge zu nicht-invasiven Diagnose- und ggf. Therapieverfahren.
Arbeitsgruppen
Literatur
Irene Neuner, Jorge Arrubla, Cornelius J Werner, Konrad Hitz, Frank Boers, Wolfram Kawohl, Jon N Shah , "The Default Mode Network and EEG Regional Spectral Power: A Simultaneous fMRI-EEG Study." PLoS ONE 9(2): e88214, Feb.2014
L. Breuer, J. Dammers, T. P. L. Roberts, and N. J. Shah, “A Constrained ICA Approach for Real-Time Cardiac Artifact Rejection in Magnetoencephalography,” IEEE Trans. Biomed. Eng., vol.61 pp 405-414 , no. 2, Feb. 2014.
M. I. Faley, U. Poppe, R. E. Dunin-Borkowski, M. Schiek, F. Boers, H. Chocholacs, J. Dammers, E. Eich, N. J. Shah, A. B. Ermakov, V. Y. Slobodchikov, Y. V. Maslennikov, and V. P. Koshelets, “High-Tc DC SQUIDs for Magnetoencephalography,” IEEE Trans. Appl. Supercond., vol. 23, no. 3, pp. 1600705–1600705, Jun. 2013.
L. Breuer, M. Axer, and J. Dammers, “A new constrained ICA approach for optimal signal decomposition in polarized light imaging.,” J. Neurosci. Methods, vol. 220, no. 1, pp. 30–38, Sep. 2013.
I. Neuner, T. Warbrick, J. Arrubla, J. Felder, A. Celik, M. Reske, F. Boers, and N. J. Shah, “EEG acquisition in ultra-high static magnetic fields up to 9.4 T.,” Neuroimage, vol. 68, pp. 214–20, Mar. 2013.
T. Warbrick, J. Arrubla, F. Boers, I. Neuner, and N. J. Shah, “Attention to Detail: Why Considering Task Demands Is Essential for Single-Trial Analysis of BOLD Correlates of the Visual P1 and N1.,” J. Cogn. Neurosci., Sep. 2013.
J. Dammers, L. Breuer, G. Tabbí, and M. Axer, “Optimized Signal Separation for 3D-Polarized Light Imaging,” in in Functional Brain Mapping and the Endeavor to Understand the Working Brain, F. Signorelli, Ed. InTech, 2013, pp. 355 – 374.
J. Arrubla, I. Neuner, D. Hahn, F. Boers, and N. J. Shah, “Recording Visual Evoked Potentials and Auditory Evoked P300 at 9.4T Static Magnetic Field.,” PLoS One, vol. 8, no. 5, p. 7, May 2013.
M. I. Faley, U. Poppe, R. E. D. Borkowski, M. Schiek, F. Boers, H. Chocholacs, J. Dammers, E. Eich, N. J. Shah, A. B. Ermakov, V. Y. Slobodchikov, Y. V. Maslennikov, and V. P. Koshelets, “Magnetoencephalography using a Multilayer hightc DC SQUID Magnetometer,” Phys. Procedia, vol. 36, no. 0, pp. 66–71, Jan. 2012.
J. Dammers, L. Breuer, M. Axer, M. Kleiner, B. Eiben, D. Grässel, T. Dickscheid, K. Zilles, K. Amunts, N. J. Shah, and U. Pietrzyk, “Automatic identification of gray and white matter components in polarized light imaging.,” Neuroimage, vol. 59, no. 2, pp. 1338–47, Jan. 2012.
J. Dammers and M. Schiek, “Detection of Artifacts and Brain Responses Using Instantaneous Phase Statistics in Independent Components,” in in Magnetoencephalography, W. Pang, Elizabeth, Ed. InTech, 2011, pp. 1–20.
Axer M, Amunts K, Gräßel D, Palm C, Dammers J, Axer H, , Pietrzyk U, K. Zilles. (2011) "A Novel Approach to the Human Connectome: Ultra-High Resolution Mapping of Fiber Tracts in the Brain." Neuroimage, Vol 54(2), 1091-1101
M. Axer, D. Grässel, M. Kleiner, J. Dammers, T. Dickscheid, J. Reckfort, T. Hütz, B. Eiben, U. Pietrzyk, K. Zilles, and K. Amunts, “High-resolution fiber tract reconstruction in the human brain by means of three-dimensional polarized light imaging.,” Front. Neuroinform., vol. 5, p. 34, Jan. 2011.
R. Langner, T. Kellermann, F. Boers, W. Sturm, K. Willmes, and S. B. Eickhoff, “Modality-Specific Perceptual Expectations Selectively Modulate Baseline Activity in Auditory, Somatosensory, and Visual Cortices.,” Cereb. Cortex, vol. 21, no. 12, pp. 2850–62, Apr. 2011.
M. Dyck, J. Loughead, T. Kellermann, F. Boers, R. C. Gur, and K. Mathiak, “Cognitive versus automatic mechanisms of mood induction differentially activate left and right amygdala.,” Neuroimage, vol. 54, no. 3, pp. 2503–13, Mar. 2011.
Dammers, J., Axer, M., Grässel, D., Palm, C., Zilles, K., Amunts, K., et al. (2010). Signal enhancement in polarized light imaging by means of independent component analysis. Neuroimage, 49(2), 1241-8.
Thoennessen H., Boers F., Dammers J., Chen Y-H., Norra C., Mathiak K (2010). Early sensory encoding of affective prosody: Neuromagnetic tomography of emotional category changes. Neuroimage, 250-259
C. Palm, M. Axer, D. Gräßel, J. Dammers, J. Lindemeyer, K. Zilles, U. Pietrzyk, and K. Amunts, “Towards Ultra-High Resolution Fibre Tract Mapping of the Human Brain - Registration of Polarised Light Images and Reorientation of Fibre Vectors.,” Front. Hum. Neurosci., vol. 4, no. 9, pp. 1–16, Jan. 2010.
J. Seubert, T. Kellermann, J. Loughead, F. Boers, C. Brensinger, F. Schneider, and U. Habel, “Processing of disgusted faces is facilitated by odor primes: a functional MRI study.,” Neuroimage, vol. 53, no. 2, pp. 746–56, Nov. 2010.
J. Seubert, J. Loughead, T. Kellermann, F. Boers, C. M. Brensinger, and U. Habel, “Multisensory integration of emotionally valenced olfactory-visual information in patients with schizophrenia and healthy controls.,” J. Psychiatry Neurosci., vol. 35, no. 3, pp. 185–94, May 2010.
Chen Yu-Han, Edgar J. Christopher, Holroyd Tom, Dammers Jürgen, Thönneßen Heike, Roberts Timothy P.L., Mathiak Klaus (2010). Neuromagnetic oscillations to emotional faces and prosody. European Journal of Neuroscience, Vol. 31, pp. 1818–1827, 2010
Chen Y-H; Dammers J.; Boers F.; Leiberg S.;Mathiak K (2009). The temporal dynamics of insula activity to disgust and happy facial expressions: A magnetoencephalography study. Neuroimage, (2009), 1921-1928
D. Gräßel, M. Axer, C. Palm, J. Dammers, K. Amunts, U. Pietrzyk, and K. Zilles, “Visualization of Fiber Tracts in the Postmortem Human Brain by Means of Polarized Light,” Neuroimage, vol. 47, no. Supplement 1, p. 142, Jul. 2009.
Weidner R., Boers F., Mathiak K., Dammers J., Fink G.R (2009). The temporal dynamics of the Müller-Lyer illusion. Cerebral Cortex, published online October 2009
Zvyagintsev M., Nikolaev A.R., Thoennessen H., Sachs O., Chen Y-H., Dammers J. and Mathiak K (2009). Spatially congruent visual motion modulates activity of the primary auditory cortex. Exp. Brain Research, 198(2-3):391-402.
M. Axer, J. Dammers, D. Gräßel, C. Palm, K. Amunts, U. Pietrzyk, and K. Zilles, “Nerve Fiber Mapping in Histological Sections of the Human Brain by Means of Polarized Light,” Brain, 2008.
Thoennessen H., Zvyagintsev M., Harke K.C., Boers F., Dammers J., Norra Ch., Mathiak K (2008). Optimized mismatch negativity paradigm reflects deficits in schizophrenia patients. A combined EEG and MEG study. Biological Psychology, Vol 77, 205-216
Dammers, J., Schiek, M., Boers, F., Silex, C., Zvyagintsev, M., Pietrzyk, U., et al. (2008). Integration of amplitude and phase statistics for complete artifact removal in independent components of neuromagnetic recordings. IEEE transactions on bio-medical engineering, 55(10), 2353-62
Zvyagintsev M., Nikolaev A.R., Thoennessen H., Dammers J., Boers F., Mathiak K. An automatic procedure for the analysis of electric and magnetic mismatch negativity based on anatomical brain mapping. Journal of Neuroscience Methods (2008),Vol. 168, 325-333
A. Heinzel, H. Hautzel, T. D. Poeppel, F. Boers, M. Beu, and H.-W. Mueller, “Neural correlates of subliminal and supraliminal letter processing--an event-related fMRI study.,” Conscious. Cogn., vol. 17, no. 3, pp. 685–99, Sep. 2008.
Dammers, J. Mohlberg, H., Boers, F., Amunts, K., Mathiak, K. A new toolbox for combining magnetoencephalographic source analysis and cytoarchitectonic probabilistic data for anatomical classification of dynamic brain activity. Neuroimage 34 (2007), 1577 - 1587
H. Thoennessen, M. Zvyagintsev, K. C. Harke, F. Boers, J. Dammers, C. Eulitz, K. Mathiak, and C. Norra, “Preattentive auditory processing – A comparison between traditional and optimized paradigms in EEG and MEG,” Clin. Neurophysiol., vol. 118, no. 4, pp. e103–e104, Apr. 2007.
