Source: http://www.fz-juelich.de/inm/inm-4/EN/Forschung/MEG-Physik/_node.html
Timestamp: 2019-04-24 12:56:36+00:00

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Magnetoencephalography (MEG) is a non-invasive measurement for the detection of tiny magnetic field components, which originate from the neural processes taking place in the living human brain. Due to the excellent time resolution (within millisecond range) of MEG, the method is ideal for the investigation of fast neuromagnetic brain responses.
The primary interest of the Magnetoencephalography (MEG) Methodology group is the development and implementation of novel soft- and hardware components in the field of MEG research. A major focus is to establish real time data acquisition and signal processing in order to acquire new insights into ongoing electrophysiological brain processes during running MEG measurements. This, however, is a big challenge, since standard MEG data analysis, including noise and artefact rejection, source localisation and connectivity analysis, is computationally demanding and usually takes in the region of several days for each single experiment. In combination with neuro-feedback techniques and the application of brain computer interfaces (BCI), real time data analysis will offer great potential in neuroscience and therapy in neurology.
Another field of attention is dedicated to the development of state-of-the-art analysis tools, such as multivariate connectivity analysis in combination with blind source separation and novel source localisation routines.
The main interest of the Magnetoencephalography (MEG) Methodology group is the development and implementation of novel soft- and hardware components in the field of MEG research. A major focus is to establish real time data acquisition and signal processing in order to acquire new insights into ongoing electrophysiological brain processes.
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.
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.
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.
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.
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.
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.
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.

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