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Brain Products Hardware and Software mentioned in Publications on EEG/fMRI

Within recent years dozens of our customers used our equipment for their research purposes and published their results in wellknown scientific journals. Below you‘ll find a list of more than 200 of these scientific articles on EEG & fMRI. To download the complete list (.pdf) please click here.

If your publication on EEG/fMRI is missing in the list please send it to us via email () indicating the "PubMed ID" of the publication. Please note that mentioning Brain Products‘ hard- and/or software in the paper is a requirement for being added.

List of Publications:

Hesselmann, G., G. Flandin and S. Dehaene,
Probing the cortical network underlying the psychological refractory period: A combined EEG-fMRI study.
Neuroimage, 2011.
Link to PubMed

Shitara, H., T. Shinozaki, K. Takagishi, M. Honda and T. Hanakawa,
Time course and spatial distribution of fMRI signal changes during single-pulse transcranial magnetic stimulation to the primary motor cortex.
Neuroimage, 2011.
Link to PubMed

Scheeringa, R., A. Mazaheri, I. Bojak, D.G. Norris and A. Kleinschmidt,
Modulation of visually evoked cortical FMRI responses by phase of ongoing occipital alpha oscillations.
J Neurosci, 2011. 31(10): p. 3813-20.
Link to PubMed

Khatamian, Y.B., F. Fahoum and J. Gotman,
Limits of 2D-TCA in detecting BOLD responses to epileptic activity.
Epilepsy Res, 2011.
Link to PubMed

Luchinger, R., L. Michels, E. Martin and D. Brandeis,
EEG-BOLD correlations during (post-)adolescent brain maturation.
Neuroimage, 2011.
Link to PubMed

Samann, P.G., R. Wehrle, D. Hoehn, V.I. Spoormaker, H. Peters, C. Tully, F. Holsboer and M. Czisch,
Development of the Brain's Default Mode Network from Wakefulness to Slow Wave Sleep.
Cereb Cortex, 2011.
Link to PubMed

Scheeringa, R., P. Fries, K.M. Petersson, R. Oostenveld, I. Grothe, D.G. Norris, P. Hagoort and M.C. Bastiaansen,
Neuronal dynamics underlying high- and low-frequency EEG oscillations contribute independently to the human BOLD signal.
Neuron, 2011. 69(3): p. 572-83.
Link to PubMed

Siniatchkin, M., D. Coropceanu, F. Moeller, R. Boor and U. Stephani,
EEG-fMRI reveals activation of brainstem and thalamus in patients with Lennox-Gastaut syndrome.
Epilepsia, 2011.
Link to PubMed

Moeller, F., M. Maneshi, F. Pittau, T. Gholipour, P. Bellec, F. Dubeau, C. Grova and J. Gotman,
Functional connectivity in patients with idiopathic generalized epilepsy.
Epilepsia, 2011. 52(3): p. 515-22.
Link to PubMed

Vartiainen, J., M. Liljestrom, M. Koskinen, H. Renvall and R. Salmelin,
Functional magnetic resonance imaging blood oxygenation level-dependent signal and magnetoencephalography evoked responses yield different neural functionality in reading.
J Neurosci, 2011. 31(3): p. 1048-58.
Link to PubMed

Koike, T., S. Kan, M. Misaki and S. Miyauchi,
Connectivity pattern changes in default-mode network with deep non-REM and REM sleep.
Neurosci Res, 2011. 69(4): p. 322-30.
Link to PubMed

Picchioni, D., S.G. Horovitz, M. Fukunaga, W.S. Carr, J.A. Meltzer, T.J. Balkin, J.H. Duyn and A.R. Braun,
Infraslow EEG oscillations organize large-scale cortical-subcortical interactions during sleep: a combined EEG/fMRI study.
Brain Res, 2011. 1374: p. 63-72.
Link to PubMed
Department of Behavioral Biology, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.

Ostwald, D., C. Porcaro and A.P. Bagshaw,
Voxel-wise information theoretic EEG-fMRI feature integration.
Neuroimage, 2011. 55(3): p. 1270-86.
Link to PubMed

Scheibe, C., M. Ullsperger, W. Sommer and H.R. Heekeren,
Effects of parametrical and trial-to-trial variation in prior probability processing revealed by simultaneous electroencephalogram/functional magnetic resonance imaging.
J Neurosci, 2010. 30(49): p. 16709-17.
Link to PubMed

Bak, N., B.Y. Glenthoj, E. Rostrup, H.B. Larsson and B. Oranje,
Source localization of sensory gating: a combined EEG and fMRI study in healthy volunteers.
Neuroimage, 2011. 54(4): p. 2711-8.
Link to PubMed

Schultze-Kraft, M., R. Becker, M. Breakspear and P. Ritter,
Exploiting the potential of three dimensional spatial wavelet analysis to explore nesting of temporal oscillations and spatial variance in simultaneous EEG-fMRI data.
Prog Biophys Mol Biol, 2011. 105(1-2): p. 67-79.
Link to PubMed

Okon-Singer, H., I. Podlipsky, T. Siman-Tov, E. Ben-Simon, A. Zhdanov, M.Y. Neufeld and T. Hendler,
Spatio-temporal indications of sub-cortical involvement in leftward bias of spatial attention.
Neuroimage, 2011. 54(4): p. 3010-20.
Link to PubMed

Gholipour, T., F. Moeller, F. Pittau, F. Dubeau and J. Gotman,
Reproducibility of interictal EEG-fMRI results in patients with epilepsy.
Epilepsia, 2011. 52(3): p. 433-42.
Link to PubMed

Mullinger, K.J., W.X. Yan and R. Bowtell,
Reducing the gradient artefact in simultaneous EEG-fMRI by adjusting the subject's axial position.
Neuroimage, 2011. 54(3): p. 1942-50.
Link to PubMed

Van de Ville, D., J. Britz and C.M. Michel,
EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.
Proc Natl Acad Sci U S A, 2010. 107(42): p. 18179-84.
Link to PubMed

Sumiyoshi, A., J.J. Riera, T. Ogawa and R. Kawashima,
A mini-cap for simultaneous EEG and fMRI recording in rodents.
Neuroimage, 2011. 54(3): p. 1951-65.
Link to PubMed

Jann, K., M. Kottlow, T. Dierks, C. Boesch and T. Koenig,
Topographic electrophysiological signatures of FMRI Resting State Networks.
PLoS One, 2010. 5(9): p. e12945.
Link to PubMed

Spoormaker, V.I., K.C. Andrade, M.S. Schroter, A. Sturm, R. Goya-Maldonado, P.G. Samann and M. Czisch,
The neural correlates of negative prediction error signaling in human fear conditioning.
Neuroimage, 2011. 54(3): p. 2250-6.
Link to PubMed

Novitskiy, N., J.R. Ramautar, K. Vanderperren, M. De Vos, M. Mennes, B. Mijovic, B. Vanrumste, P. Stiers, B. Van den Bergh, L. Lagae, S. Sunaert, S. Van Huffel, and J. Wagemans,
The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task.
Neuroimage, 2011. 54(2): p. 824-35.
Link to PubMed

Galka, A., K.F. Wong, T. Ozaki, H. Muhle, U. Stephani and M. Siniatchkin,
Decomposition of Neurological Multivariate Time Series by State Space Modelling.
Bull Math Biol, 2011. 73(2): p. 285-324.
Link to PubMed

Sundaram, P., W.M. Wells, R.V. Mulkern, E.J. Bubrick, E.B. Bromfield, M. Munch and D.B. Orbach,
Fast human brain magnetic resonance responses associated with epileptiform spikes.
Magn Reson Med, 2010. 64(6): p. 1728-38.
Link to PubMed

Spoormaker, V.I., M.S. Schroter, P.M. Gleiser, K.C. Andrade, M. Dresler, R. Wehrle, P.G. Samann and M. Czisch,
Development of a large-scale functional brain network during human non-rapid eye movement sleep.
J Neurosci, 2010. 30(34): p. 11379-87.
Link to PubMed

Moeller, F., P. LeVan, H. Muhle, U. Stephani, F. Dubeau, M. Siniatchkin and J. Gotman,
Absence seizures: individual patterns revealed by EEG-fMRI.
Epilepsia, 2010. 51(10): p. 2000-10.
Link to PubMed

Vulliemoz, S., D.W. Carmichael, K. Rosenkranz, B. Diehl, R. Rodionov, M.C. Walker, A.W. McEvoy and L. Lemieux,
Simultaneous intracranial EEG and fMRI of interictal epileptic discharges in humans.
Neuroimage, 2011. 54(1): p. 182-90.
Link to PubMed

De Martino, F., A.W. de Borst, G. Valente, R. Goebel and E. Formisano,
Predicting EEG single trial responses with simultaneous fMRI and Relevance Vector Machine regression.
Neuroimage, 2010.
Link to PubMed

Siniatchkin, M., K. Groening, J. Moehring, F. Moeller, R. Boor, V. Brodbeck, C.M. Michel, R. Rodionov, L. Lemieux and U. Stephani,
Neuronal networks in children with continuous spikes and waves during slow sleep.
Brain, 2010. 133(9): p. 2798-813.
Link to PubMed

Lavric, A., N. Bregadze and A. Benattayallah,
Detection of experimental ERP effects in combined EEG-fMRI: evaluating the benefits of interleaved acquisition and independent component analysis.
Clin Neurophysiol, 2011. 122(2): p. 267-77.
Link to PubMed

Sadaghiani, S., R. Scheeringa, K. Lehongre, B. Morillon, A.L. Giraud and A. Kleinschmidt,
Intrinsic connectivity networks, alpha oscillations, and tonic alertness: a simultaneous electroencephalography/functional magnetic resonance imaging study.
J Neurosci, 2010. 30(30): p. 10243-50.
Link to PubMed

Moeller, F., H. Muhle, G. Wiegand, S. Wolff, U. Stephani and M. Siniatchkin,
EEG-fMRI study of generalized spike and wave discharges without transitory cognitive impairment.
Epilepsy Behav, 2010. 18(3): p. 313-6.
Link to PubMed

Thornton, R.C., R. Rodionov, H. Laufs, S. Vulliemoz, A. Vaudano, D. Carmichael, S. Cannadathu, M. Guye, A. McEvoy, S. Lhatoo, F. Bartolomei, P. Chauvel, B. Diehl, F. De Martino, R.D. Elwes, M.C. Walker, J.S. Duncan, and L. Lemieux,
Imaging haemodynamic changes related to seizures: comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG.
Neuroimage, 2010. 53(1): p. 196-205.
Link to PubMed

Rathakrishnan, R., F. Moeller, P. Levan, F. Dubeau and J. Gotman,
BOLD signal changes preceding negative responses in EEG-fMRI in patients with focal epilepsy.
Epilepsia, 2010. 51(9): p. 1837-45.
Link to PubMed

Thornton, R., H. Laufs, R. Rodionov, S. Cannadathu, D.W. Carmichael, S. Vulliemoz, A. Salek-Haddadi, A.W. McEvoy, S.M. Smith, S. Lhatoo, R.D. Elwes, M. Guye, M.C. Walker, L. Lemieux, and J.S. Duncan,
EEG correlated functional MRI and postoperative outcome in focal epilepsy.
J Neurol Neurosurg Psychiatry, 2010. 81(8): p. 922-7.
Link to PubMed

Hlinka, J., C. Alexakis, A. Diukova, P.F. Liddle and D.P. Auer,
Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis.
Neuroimage, 2010. 53(1): p. 239-46.
Link to PubMed

Wu, L., T. Eichele and V.D. Calhoun,
Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: a concurrent EEG-fMRI study.
Neuroimage, 2010. 52(4): p. 1252-60.
Link to PubMed

Spoormaker, V.I., A. Sturm, K.C. Andrade, M.S. Schroter, R. Goya-Maldonado, F. Holsboer, T.C. Wetter, P.G. Samann and M. Czisch,
The neural correlates and temporal sequence of the relationship between shock exposure, disturbed sleep and impaired consolidation of fear extinction.
J Psychiatr Res, 2010. 44(16): p. 1121-8.
Link to PubMed

Michels, L., K. Bucher, R. Luchinger, P. Klaver, E. Martin, D. Jeanmonod and D. Brandeis,
Simultaneous EEG-fMRI during a working memory task: modulations in low and high frequency bands.
PLoS One, 2010. 5(4): p. e10298.
Link to PubMed

Yang, L., Z. Liu and B. He,
EEG-fMRI reciprocal functional neuroimaging.
Clin Neurophysiol, 2010. 121(8): p. 1240-50.
Link to PubMed

Moeller, F., P. LeVan and J. Gotman,
Independent component analysis (ICA) of generalized spike wave discharges in fMRI: comparison with general linear model-based EEG-fMRI.
Hum Brain Mapp, 2011. 32(2): p. 209-17.
Link to PubMed

Chaudhary, U.J., V. Kokkinos, D.W. Carmichael, R. Rodionov, D. Gasston, J.S. Duncan and L. Lemieux,
Implementation and evaluation of simultaneous video-electroencephalography and functional magnetic resonance imaging.
Magn Reson Imaging, 2010. 28(8): p. 1192-9.
Link to PubMed

Zhang, Z., G. Lu, Y. Zhong, Q. Tan, H. Chen, W. Liao, L. Tian, Z. Li, J. Shi and Y. Liu,
fMRI study of mesial temporal lobe epilepsy using amplitude of low-frequency fluctuation analysis.
Hum Brain Mapp, 2010. 31(12): p. 1851-61.
Link to PubMed

Britz, J., D. Van De Ville and C.M. Michel,
BOLD correlates of EEG topography reveal rapid resting-state network dynamics.
Neuroimage, 2010. 52(4): p. 1162-70.
Link to PubMed

Karch, S., R. Feuerecker, G. Leicht, T. Meindl, I. Hantschk, V. Kirsch, M. Ertl, J. Lutz, O. Pogarell and C. Mulert,
Separating distinct aspects of the voluntary selection between response alternatives: N2- and P3-related BOLD responses.
Neuroimage, 2010. 51(1): p. 356-64.
Link to PubMed

Brinkmeyer, J., A. Mobascher, T. Warbrick, F. Musso, H.J. Wittsack, A. Saleh, A. Schnitzler and G. Winterer,
Dynamic EEG-informed fMRI modeling of the pain matrix using 20-ms root mean square segments.
Hum Brain Mapp, 2010. 31(11): p. 1702-12.
Link to PubMed

Musso, F., J. Brinkmeyer, A. Mobascher, T. Warbrick and G. Winterer,
Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks.
Neuroimage, 2010. 52(4): p. 1149-61.
Link to PubMed

Sadeh, B., I. Podlipsky, A. Zhdanov and G. Yovel,
Event-related potential and functional MRI measures of face-selectivity are highly correlated: a simultaneous ERP-fMRI investigation.
Hum Brain Mapp, 2010. 31(10): p. 1490-501.
Link to PubMed

Correa, N.M., T. Eichele, T. Adali, Y.O. Li and V.D. Calhoun,
Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI.
Neuroimage, 2010. 50(4): p. 1438-45.
Link to PubMed

Sato, N., T.J. Ozaki, Y. Someya, K. Anami, S. Ogawa, H. Mizuhara and Y. Yamaguchi,
Subsequent memory-dependent EEG theta correlates to parahippocampal blood oxygenation level-dependent response.
Neuroreport, 2010. 21(3): p. 168-72.
Link to PubMed

Mantini, D., L. Marzetti, M. Corbetta, G.L. Romani and C. Del Gratta,
Multimodal integration of fMRI and EEG data for high spatial and temporal resolution analysis of brain networks.
Brain Topogr, 2010. 23(2): p. 150-8.
Link to PubMed

Yesilyurt, B., K. Whittingstall, K. Ugurbil, N.K. Logothetis and K. Uludag,
Relationship of the BOLD signal with VEP for ultrashort duration visual stimuli (0.1 to 5 ms) in humans.
J Cereb Blood Flow Metab, 2010. 30(2): p. 449-58.
Link to PubMed

Sato, J.R., C. Rondinoni, M. Sturzbecher, D.B. de Araujo and E. Amaro, Jr.,
From EEG to BOLD: brain mapping and estimating transfer functions in simultaneous EEG-fMRI acquisitions.
Neuroimage.
Link to PubMed

Correa, N.M., T. Eichele, T. Adali, Y.O. Li and V.D. Calhoun,
Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI.
Neuroimage.
Link to PubMed

Assecondi, S., K. Vanderperren, N. Novitskiy, J.R. Ramautar, W. Fias, S. Staelens, P. Stiers, S. Sunaert, S. Van Huffel and I. Lemahieu,
Effect of the static magnetic field of the MR-scanner on ERPs: Evaluation of visual, cognitive and motor potentials.
Clin Neurophysiol.
Link to PubMed

De Martino, F., G. Valente, A.W. de Borst, F. Esposito, A. Roebroeck, R. Goebel and E. Formisano,
Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI.
Magn Reson Imaging.
Link to PubMed

Liu, Z., C. Rios, N. Zhang, L. Yang, W. Chen and B. He,
Linear and nonlinear relationships between visual stimuli, EEG and BOLD fMRI signals.
Neuroimage.
Link to PubMed

Vanderperren, K., M. De Vos, J.R. Ramautar, N. Novitskiy, S. Assecondi, B. Vanrumste, P. Stiers, B. Van den Bergh, J. Wagemans, L. Lagae, S. Sunaert, and S. Van Huffel,
Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects.
Neuroimage.
Link to PubMed

Cosottini, M., I. Pesaresi, P. Maritato, G. Belmonte, A. Taddei, F. Sartucci, M. Mascalchi and L. Murri,
EEG topography-specific BOLD changes: a continuous EEG-fMRI study in a patient with focal epilepsy.
Magn Reson Imaging.
Link to PubMed

Mantini, D., L. Marzetti, M. Corbetta, G.L. Romani and C. Del Gratta,
Multimodal Integration of fMRI and EEG Data for High Spatial and Temporal Resolution Analysis of Brain Networks.
Brain Topogr.
Link to PubMed

Rodionov, R., M. Siniatchkin, C. Michel, A.D. Liston, R. Thornton, M. Guye, D.W. Carmichael and L. Lemieux,
Looking for neuronal currents using MRI: An EEG-fMRI investigation of fast MR signal changes time-locked to frequent focal epileptic discharges.
Neuroimage, 2009.
Link to PubMed

Levan, P., L. Tyvaert and J. Gotman,
Modulation by EEG features of BOLD responses to interictal epileptiform discharges.
Neuroimage, 2009.
Link to PubMed

Porcaro, C., D. Ostwald and A.P. Bagshaw,
Functional source separation improves the quality of single trial visual evoked potentials recorded during concurrent EEG-fMRI.
Neuroimage, 2009.
Link to PubMed

Moeller, F., L. Tyvaert, D.K. Nguyen, P. LeVan, A. Bouthillier, E. Kobayashi, D. Tampieri, F. Dubeau and J. Gotman,
EEG-fMRI: adding to standard evaluations of patients with nonlesional frontal lobe epilepsy.
Neurology, 2009. 73(23): p. 2023-30.
Link to PubMed

Tyvaert, L., S. Chassagnon, A. Sadikot, P. LeVan, F. Dubeau and J. Gotman,
Thalamic nuclei activity in idiopathic generalized epilepsy: an EEG-fMRI study.
Neurology, 2009. 73(23): p. 2018-22.
Link to PubMed

Yang, L., Z. Liu, C. Rios, H. Yuan and B. He,
Electrophysiological neuroimaging: Cortical correlates of alpha rhythm modulation.
Conf Proc IEEE Eng Med Biol Soc, 2009. 1: p. 1934-6.
Link to PubMed

Vulliemoz, S., R. Rodionov, D.W. Carmichael, R. Thornton, M. Guye, S.D. Lhatoo, C.M. Michel, J.S. Duncan and L. Lemieux,
Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy.
Neuroimage, 2009.
Link to PubMed

Ertl, M., V. Kirsch, G. Leicht, S. Karch, S. Olbrich, M. Reiser, U. Hegerl, O. Pogarell and C. Mulert,
Avoiding the ballistocardiogram (BCG) artifact of EEG data acquired simultaneously with fMRI by pulse-triggered presentation of stimuli.
J Neurosci Methods, 2009.
Link to PubMed

Lee, J.H., S. Oh, F.A. Jolesz, H. Park and S.S. Yoo,
Application of independent component analysis for the data mining of simultaneous Eeg-fMRI: preliminary experience on sleep onset.
Int J Neurosci, 2009. 119(8): p. 1118-36.
Link to PubMed

Karch, S., T. Thalmeier, J. Lutz, A. Cerovecki, M. Opgen-Rhein, B. Hock, G. Leicht, K. Hennig-Fast, T. Meindl, M. Riedel, C. Mulert, and O. Pogarell,
Neural correlates (ERP/fMRI) of voluntary selection in adult ADHD patients.
Eur Arch Psychiatry Clin Neurosci, 2009.
Link to PubMed

Mandelkow, H., D. Brandeis and P. Boesiger,
Good practices in EEG-MRI: The utility of retrospective synchronization and PCA for the removal of MRI gradient artefacts.
Neuroimage, 2009.
Link to PubMed

Mulert, C., G. Leicht, P. Hepp, V. Kirsch, S. Karch, O. Pogarell, M. Reiser, U. Hegerl, L. Jager, H.J. Moller, and R.W. McCarley,
Single-trial coupling of the gamma-band response and the corresponding BOLD signal.
Neuroimage, 2009.
Link to PubMed

Mobascher, A., J. Brinkmeyer, T. Warbrick, F. Musso, V. Schlemper, H.J. Wittsack, A. Saleh, A. Schnitzler and G. Winterer,
Brain activation patterns underlying fast habituation to painful laser stimuli.
Int J Psychophysiol, 2009.
Link to PubMed

Yan, W.X., K.J. Mullinger, G.B. Geirsdottir and R. Bowtell,
Physical modeling of pulse artefact sources in simultaneous EEG/fMRI.
Hum Brain Mapp, 2009.
Link to PubMed

Rosa, M.J., J. Kilner, F. Blankenburg, O. Josephs and W. Penny,
Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI.
Neuroimage. 49(2): p. 1496-509.
Link to PubMed

Czisch, M., R. Wehrle, A. Stiegler, H. Peters, K. Andrade, F. Holsboer and P.G. Samann,
Acoustic oddball during NREM sleep: a combined EEG/fMRI study.
PLoS One, 2009. 4(8): p. e6749.
Link to PubMed

Carmichael, D.W., J.S. Thornton, R. Rodionov, R. Thornton, A.W. McEvoy, R.J. Ordidge, P.J. Allen and L. Lemieux,
Feasibility of simultaneous intracranial EEG-fMRI: A safety study.
Neuroimage, 2009.
Link to PubMed

Levan, P., L. Tyvaert, F. Moeller and J. Gotman,
Independent component analysis reveals dynamic ictal BOLD responses in EEG-fMRI data from focal epilepsy patients.
Neuroimage, 2009.
Link to PubMed

Ostwald, D., C. Porcaro and A.P. Bagshaw,
An information theoretic approach to EEG-fMRI integration of visually evoked responses.
Neuroimage, 2009.
Link to PubMed

Moeller, F., H.R. Siebner, N. Ahlgrimm, S. Wolff, H. Muhle, O. Granert, R. Boor, O. Jansen, J. Gotman, U. Stephani, and M. Siniatchkin,
fMRI activation during spike and wave discharges evoked by photic stimulation.
Neuroimage, 2009. 48(4): p. 682-95.
Link to PubMed

Moisa, M., R. Pohmann, K. Uludag and A. Thielscher,
Interleaved TMS/CASL: Comparison of different rTMS protocols.
Neuroimage. 49(1): p. 612-20.
Link to PubMed
High-Field Magnetic Resonance Center, MPI for Biological Cybernetics, Tubingen, Germany.

Freyer, F., K. Aquino, P.A. Robinson, P. Ritter and M. Breakspear,
Bistability and non-Gaussian fluctuations in spontaneous cortical activity.
J Neurosci, 2009. 29(26): p. 8512-24.
Link to PubMed

Daunizeau, J., A.E. Vaudano and L. Lemieux,
Bayesian multi-modal model comparison: A case study on the generators of the spike and the wave in generalized spike-wave complexes.
Neuroimage, 2009.
Link to PubMed

Kobayashi, E., C. Grova, L. Tyvaert, F. Dubeau and J. Gotman,
Structures involved at the time of temporal lobe spikes revealed by interindividual group analysis of EEG/fMRI data.
Epilepsia, 2009.
Link to PubMed

Horovitz, S.G., A.R. Braun, W.S. Carr, D. Picchioni, T.J. Balkin, M. Fukunaga and J.H. Duyn,
Decoupling of the brain's default mode network during deep sleep.
Proc Natl Acad Sci U S A, 2009. 106(27): p. 11376-81.
Link to PubMed

Freyer, F., R. Becker, K. Anami, G. Curio, A. Villringer and P. Ritter,
Ultrahigh-frequency EEG during fMRI: Pushing the limits of imaging-artifact correction.
Neuroimage, 2009.
Link to PubMed

Tyvaert, L., P. Levan, F. Dubeau and J. Gotman,
Noninvasive dynamic imaging of seizures in epileptic patients.
Hum Brain Mapp, 2009.
Link to PubMed

Warbrick, T., A. Mobascher, J. Brinkmeyer, F. Musso, N. Richter, T. Stoecker, G.R. Fink, N.J. Shah and G. Winterer,
Single-trial P3 amplitude and latency informed event-related fMRI models yield different BOLD response patterns to a target detection task.
Neuroimage, 2009. 47(4): p. 1532-44.
Link to PubMed

Nierhaus, T., T. Schon, R. Becker, P. Ritter and A. Villringer,
Background and evoked activity and their interaction in the human brain.
Magn Reson Imaging, 2009.
Link to PubMed

Yan, W.X., K.J. Mullinger, M.J. Brookes and R. Bowtell,
Understanding gradient artefacts in simultaneous EEG/fMRI.
Neuroimage, 2009.
Link to PubMed

Sun, L., J. Rieger and H. Hinrichs,
Maximum noise fraction (MNF) transformation to remove ballistocardiographic artifacts in EEG signals recorded during fMRI scanning.
Neuroimage, 2009. 46(1): p. 144-53.
Link to PubMed

Koskinen, M. and N. Vartiainen,
Removal of imaging artifacts in EEG during simultaneous EEG/fMRI recording: reconstruction of a high-precision artifact template.
Neuroimage, 2009. 46(1): p. 160-7.
Link to PubMed

Chassagnon, S., C.S. Hawko, A. Bernasconi, J. Gotman and F. Dubeau,
Coexistence of symptomatic focal and absence seizures: Video-EEG and EEG-fMRI evidence of overlapping but independent epileptogenic networks.
Epilepsia, 2009.
Link to PubMed

Sercheli, M.S., E. Bilevicius, A. Alessio, H. Ozelo, F.R. Pereira, J.M. Rondina, F. Cendes and R.J. Covolan,
EEG spike source localization before and after surgery for temporal lobe epilepsy: a BOLD EEG-fMRI and independent component analysis study.
Braz J Med Biol Res, 2009. 42(6): p. 582-7.
Link to PubMed

Sehm, B., M.A. Perez, B. Xu, J. Hidler and L.G. Cohen,
Functional neuroanatomy of mirroring during a unimanual force generation task.
Cereb Cortex. 20(1): p. 34-45.
Link to PubMed

Vulliemoz, S., R. Thornton, R. Rodionov, D.W. Carmichael, M. Guye, S. Lhatoo, A.W. McEvoy, L. Spinelli, C.M. Michel, J.S. Duncan, and L. Lemieux,
The spatio-temporal mapping of epileptic networks: combination of EEG-fMRI and EEG source imaging.
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Neuropediatric Department, University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel, Schwanenweg 20, D-24105 Kiel, Germany.

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Daly, J.J., K. Hrovat, S. Pundik, J. Sunshine and G. Yue,
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Jacobs, J., C. Hawco, E. Kobayashi, R. Boor, P. LeVan, U. Stephani, M. Siniatchkin and J. Gotman,
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Glover, P.M. and R. Bowtell,
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Ahn, S.H., W.H. Lee, M.H. In, T.S. Kim and S.Y. Lee,
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Oh, S.S., J.Y. Chung, H.W. Yoon and H. Park,
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Spiegelhalder, K., B. Feige, D. Paul, D. Riemann, L.T. van Elst, E. Seifritz, J. Hennig and M. Hornyak,
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Laufs, H., M.C. Walker and T.E. Lund,
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Wan, X., J. Riera, K. Iwata, M. Takahashi, T. Wakabayashi and R. Kawashima,
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Schmid, M.C., A. Oeltermann, C. Juchem, N.K. Logothetis and S.M. Smirnakis,
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Bregadze, N. and A. Lavric,
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Wan, X., K. Iwata, J. Riera, M. Kitamura and R. Kawashima,
Artifact reduction for simultaneous EEG/fMRI recording: adaptive FIR reduction of imaging artifacts.
Clin Neurophysiol, 2006. 117(3): p. 681-92.
Link to PubMed

Wan, X., K. Iwata, J. Riera, T. Ozaki, M. Kitamura and R. Kawashima,
Artifact reduction for EEG/fMRI recording: nonlinear reduction of ballistocardiogram artifacts.
Clin Neurophysiol, 2006. 117(3): p. 668-80.
Link to PubMed

Debener, S., M. Ullsperger, M. Siegel, K. Fiehler, D.Y. von Cramon and A.K. Engel,
Trial-by-trial coupling of concurrent electroencephalogram and functional magnetic resonance imaging identifies the dynamics of performance monitoring.
J Neurosci, 2005. 25(50): p. 11730-7.
Link to PubMed

Eichele, T., K. Specht, M. Moosmann, M.L. Jongsma, R.Q. Quiroga, H. Nordby and K. Hugdahl,
Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI.
Proc Natl Acad Sci U S A, 2005. 102(49): p. 17798-803.
Link to PubMed

Chung, J.Y., H.W. Yoon, M.S. Song and H. Park,
Event related fMRI studies of voluntary and inhibited eye blinking using a time marker of EOG.
Neurosci Lett, 2006. 395(3): p. 196-200.
Link to PubMed

Parkes, L.M., M.C. Bastiaansen and D.G. Norris,
Combining EEG and fMRI to investigate the post-movement beta rebound.
Neuroimage, 2006. 29(3): p. 685-96.
Link to PubMed

Riera, J., E. Aubert, K. Iwata, R. Kawashima, X. Wan and T. Ozaki,
Fusing EEG and fMRI based on a bottom-up model: inferring activation and effective connectivity in neural masses.
Philos Trans R Soc Lond B Biol Sci, 2005. 360(1457): p. 1025-41.
Link to PubMed

Bestmann, S., J. Baudewig, H.R. Siebner, J.C. Rothwell and J. Frahm,
BOLD MRI responses to repetitive TMS over human dorsal premotor cortex.
Neuroimage, 2005. 28(1): p. 22-9.
Link to PubMed

Becker, R., P. Ritter, M. Moosmann and A. Villringer,
Visual evoked potentials recovered from fMRI scan periods.
Hum Brain Mapp, 2005. 26(3): p. 221-30.
Link to PubMed

Mizuhara, H., L.Q. Wang, K. Kobayashi and Y. Yamaguchi,
Long-range EEG phase synchronization during an arithmetic task indexes a coherent cortical network simultaneously measured by fMRI.
Neuroimage, 2005. 27(3): p. 553-63.
Link to PubMed

Yoon, H.W., J.Y. Chung, M.S. Song and H. Park,
Neural correlates of eye blinking; improved by simultaneous fMRI and EOG measurement.
Neurosci Lett, 2005. 381(1-2): p. 26-30.
Link to PubMed

van Duinen, H., I. Zijdewind, H. Hoogduin and N. Maurits,
Surface EMG measurements during fMRI at 3T: accurate EMG recordings after artifact correction.
Neuroimage, 2005. 27(1): p. 240-6.
Link to PubMed

Muller, T.J., A. Federspiel, H. Horn, K. Lovblad, C. Lehmann, T. Dierks and W.K. Strik,
The neurophysiological time pattern of illusionary visual perceptual transitions: a simultaneous EEG and fMRI study.
Int J Psychophysiol, 2005. 55(3): p. 299-312.
Link to PubMed

Comi, E., P. Annovazzi, A.M. Silva, M. Cursi, V. Blasi, M. Cadioli, A. Inuggi, A. Falini, G. Comi and L. Leocani,
Visual evoked potentials may be recorded simultaneously with fMRI scanning: A validation study.
Hum Brain Mapp, 2005. 24(4): p. 291-8.
Link to PubMed

Sammer, G., C. Blecker, H. Gebhardt, P. Kirsch, R. Stark and D. Vaitl,
Acquisition of typical EEG waveforms during fMRI: SSVEP, LRP, and frontal theta.
Neuroimage, 2005. 24(4): p. 1012-24.
Link to PubMed

Feige, B., K. Scheffler, F. Esposito, F. Di Salle, J. Hennig and E. Seifritz,
Cortical and subcortical correlates of electroencephalographic alpha rhythm modulation.
J Neurophysiol, 2005. 93(5): p. 2864-72.
Link to PubMed

Kim, K.H., H.W. Yoon and H.W. Park,
Improved ballistocardiac artifact removal from the electroencephalogram recorded in fMRI.
J Neurosci Methods, 2004. 135(1-2): p. 193-203.
Link to PubMed

Moosmann, M., P. Ritter, I. Krastel, A. Brink, S. Thees, F. Blankenburg, B. Taskin, H. Obrig and A. Villringer,
Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy.
Neuroimage, 2003. 20(1): p. 145-58.
Link to PubMed

Laufs, H., K. Krakow, P. Sterzer, E. Eger, A. Beyerle, A. Salek-Haddadi and A. Kleinschmidt,
Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest.
Proc Natl Acad Sci U S A, 2003. 100(19): p. 11053-8.
Link to PubMed

Laufs, H., A. Kleinschmidt, A. Beyerle, E. Eger, A. Salek-Haddadi, C. Preibisch and K. Krakow,
EEG-correlated fMRI of human alpha activity.
Neuroimage, 2003. 19(4): p. 1463-76.
Link to PubMed

 

Selected Review Articles and Meta-Analyses

Mullinger, K. and R. Bowtell,
Combining EEG and FMRI.
Methods Mol Biol, 2011. 711: p. 303-26.
Link to PubMed

Debener, S. and M. De Vos,
The benefits of simultaneous EEG-fMRI for EEG analysis.
Clin Neurophysiol, 2011. 122(2): p. 217-8.
Link to PubMed

Rosenkranz, K. and L. Lemieux,
Present and future of simultaneous EEG-fMRI.
Magma.
Link to PubMed

Vulliemoz, S., L. Lemieux, J. Daunizeau, C.M. Michel and J.S. Duncan,
The combination of EEG Source Imaging and EEG-correlated functional MRI to map epileptic networks.
Epilepsia, 2009.
Link to PubMed

Vaudano, A.E., H. Laufs, S.J. Kiebel, D.W. Carmichael, K. Hamandi, M. Guye, R. Thornton, R. Rodionov, K.J. Friston, J.S. Duncan, and L. Lemieux,
Causal hierarchy within the thalamo-cortical network in spike and wave discharges.
PLoS One, 2009. 4(8): p. e6475.
Link to PubMed

Eichele, T., V.D. Calhoun and S. Debener,
Mining EEG-fMRI using independent component analysis.
Int J Psychophysiol, 2009.
Link to PubMed

Valdes-Sosa, P.A., J.M. Sanchez-Bornot, R.C. Sotero, Y. Iturria-Medina, Y. Aleman-Gomez, J. Bosch-Bayard, F. Carbonell and T. Ozaki,
Model driven EEG/fMRI fusion of brain oscillations.
Hum Brain Mapp, 2008.
Link to PubMed

Laufs, H., J. Daunizeau, D.W. Carmichael and A. Kleinschmidt,
Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging.
Neuroimage, 2008. 40(2): p. 515-28.
Link to PubMed

Herrmann, C.S. and S. Debener,
Simultaneous recording of EEG and BOLD responses: a historical perspective.
Int J Psychophysiol, 2008. 67(3): p. 161-8.
Link to PubMed

Moosmann, M., T. Eichele, H. Nordby, K. Hugdahl and V.D. Calhoun,
Joint independent component analysis for simultaneous EEG-fMRI: principle and simulation.
Int J Psychophysiol, 2008. 67(3): p. 212-21.
Link to PubMed

Debener, S., M. Ullsperger, M. Siegel and A.K. Engel,
Single-trial EEG-fMRI reveals the dynamics of cognitive function.
Trends Cogn Sci, 2006. 10(12): p. 558-63.
Link to PubMed

Ritter, P. and A. Villringer,
Simultaneous EEG-fMRI.
Neurosci Biobehav Rev, 2006. 30(6): p. 823-38.
Link to PubMed

Contact person: Ms. Stefanie Rudrich
Phone +49 (0) 8105 733 84 - 29, Fax +49 (0) 8105 733 84 - 33

Dec 2011

Sleep and functional Imaging

by by Michael Czisch, Victor I. Spoormaker, Katia C. Andrade, Renate Wehrle, Philipp G. Sämannn
Max Planck Institute of Psychiatry, Munich, Germany

To study the brain’s activity during sleep, functional MRI in combination with simultaneous polysomnographic recordings has been used in the last decade as a combination of methods with high spatial and temporal resolution. Recent data analysis tools have opened a window to determine cerebral functional networking in task-free fMRI data, ideally suited for an application in sleeping subjects. Data are discussed which are derived from complementary analyses. We describe how reorganization of functional cerebral communication may further our understanding of phenomena like fading of consciousness during sleep, and how information reprocessing during sleep may be linked to global flow of information in light sleep and more local reprocessing in deep sleep.

Oct 2011

How DC-recorded slow potentials can aid in studying dynamic retrieval-control processes

by Jasmin M. Kizilirmak
Philipps-University Marburg, Germany

In our daily life, we are constantly faced with the necessity of selecting relevant stimuli, tasks, and memories to achieve our goals. Sometimes, we even need to focus on information we had to ignore just previously. What kind of control mechanisms enable us to alternately switch between what is selected and what is ignored? In the field of selective attention and task switching, by changing which stimulus/task is relevant from trial to trial, evidence has been obtained for the inhibition of irrelevant information by means of ‘negative priming‘ [1], for the enhancement of the relevant information [2], and for both in conjunction [3]. In contrast, for memory retrieval, research has predominately focused on paradigms where subjects did never have to switch between which information has to be retrieved and which to be ignored until final testing [4].

July 2011

Combining EEG and fMRI signals in both humans and rodents: Advantages and limitations

by Jorge Riera
Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University

Abstract: There exist two prevailing tools to study the mechanisms that lie behind the brain functioning in healthy individuals and patients: the electroencephalogram (EEG) and the functional magnetic resonance imaging (fMRI). For about a decade, physicists and biomedical engineers have struggled to develop compatible devices and methods for the right combination of these two imaging modalities. Recent major efforts by different groups have been on developing a) means to perform EEG-fMRI concurrent recordings in other species, b) forward-generative models that comprise both the physical principles of data genesis and the physiological causal mechanisms, and c) strategies for statistical inference about these models from simultaneously recorded data. Here, I discuss recent achievements by members of my group in Tohoku University, Sendai Japan, which in one way or another dealt with interesting problems related to these emergent research/technological lines.

Apr 2011

Multi-stability and non-linearity of large-scale cortical rhythms

by Michael Breakspear

Synopsis: Electroencaphalograpic (EEG) data arises from electrical currents averaged over large populations of neocortical neurons. The basic statistical and dynamical properties of EEG data can hence provide vital insights into the nature of large-scale neural activity and inform fundamental questions in computational neuroscience. I review two recent studies of EEG data - one acquired at rest and the other following sensory perturbations - that evidence a surprising richness of complexity and nonlinearity. These findings may have important implications for computational accounts of human cognition.

Dec 2010

Examining the benefits of sparce scanning and ICA-based ERP extraction
in combined EEG-fMRI

by Aureliu Lavric (a,b), Nino Bregadze (a) and Abdelmalek Benattayallah (b)
(a) Cognitive Neurophysiology Laboratory, (b) School of Psychology, University of Exeter, UK

Though promising, concurrent EEG-fMRI is challenging, because it leads to additional artifacts relative to those seen when the techniques are used separately; these extra artifacts are particularly severe for EEG. One of them, cardioballistic artifact- voltage resulting from peripheral effects of cardiac activity such as pulsation of the scalp with EEG electrodes on it in the scanner magnet- is very difficult or impossible to avoid. In contrast, ‘gradient’ artifact-voltage induced by rapid switching of spatial encoding (gradient) magnetic fields- is largely under the experimenter’s control. Indeed, by spacing out the acquisition of fMRI images, one can have EEG stretches that are gradient artifact-free. ...

Oct 2010

Brain Oscillatory Substrates of Visual Short-Term Memory Capacity

by Paul Sauseng, Wolfgang Klimesch, Kirstin F. Heise, Walter R. Gruber, Elisa Holz, Ahmed A. Karim, Mark Glennon, Christian Gerloff, Niels Birbaumer and Friedhelm C. Hummel

We are constantly bombarded with millions of sensory stimuli entering the visual system. Only a very small fraction of this input, however, can be held in memory for a short period of time. Nowadays it is well established that the number of visual items that can be stored in human short-term memory lies in a range of about four, i.e. our short-term memory’s capacity is limited to transiently maintain only up to four visual stimuli at the same time. But why is human visual short-term memory capacity so staggering small? ...

July 2010

Causal Influence of Gamma Oscillations on the Sensorimotor-Rhythm

by Moritz Grosse-Wentrup, Bernhard Schölkopf & Jeremy Hill
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Tübingen (Germany)

High-frequency oscillations of the electromagnetic field of the brain, commonly referred to as γ-oscillations, are believed by some authors to play a central role for information processing in the brain. However, while γ-oscillations have been shown to be correlated with a variety of brain signals and cognitive tasks, to date no empirical evidence for a causal role of γ-oscillations has been presented. ...

Mar 2010

Simultaneous EEG-fMRI: Avoiding the ballistocardiogram artifact by pulse-triggered presentation of stimuli

by Matthias Ertl, Valerie Kirsch, Gregor Leicht & Christoph Mulert
Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, Hamburg (Germany)

The acquisition of electroencephalography (EEG) during Functional Magnetic Resonance Imaging (fMRI) measurement offers the chance to combine the high spatial resolution of the fMRI with the great time resolution of the EEG. It provides the possibility of enhancing the current understanding of brain (dys-) function in a non-invasive way (1). However, the quality of the EEG data ac-quired in a MRI scanner is limited by several artifacts which are directly or indirectly related to the magnetic field of the scanner. ...

Aug 2009

On the combination of EEG transcranial magnetic stimulation

by Domenica Veniero & Carlo Miniussi
University of Brescia & IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy

A great advantage of EEG is the ability to acquire simultaneous measurements of activity in the entire brain, thus providing a broader picture of the cortical responses during a task execution or a given state of the subject (i.e., physiological or pathological). Nevertheless, as all neuroimaging techniques, EEG has its limitations. It only identifies correlational links between brain activity and behaviour/state. Combining two different methods, such as transcranial magnetic stimulation (TMS) and EEG, has the advantage of overcoming this limitation, thereby supplementing the information provided by correlational analysis with a technique that can establish a causal link between brain function and behaviour. The combination of TMS with EEG provides unique information on cortical reactivity and connectivity and is a powerful tool to directly investigate the effects induced by TMS on brain activity (1, 2).. …

Apr 2009

Spatial filters for concurrent EEG/fMRI

by Dr. Matthew J. Brookes, Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham

Blood oxygenation level dependent functional MRI (BOLD fMRI) has revolutionized the field of neuroscience by providing a non-invasive means of mapping the spatial distribution of brain activity. The technique achieves excellent (~1mm) spatial resolution, particularly at high magnetic field. However the protracted haemodynamic response means that fMRI suffers from poor temporal resolution. Electroencephalography (EEG) measures the electrical potentials generated at the scalp by neuronal activity, and therefore offers excellent temporal resolution, but the ill-posed EEG inverse problem and inhomogeneous conductivity profile in the head mean that its spatial resolution is poor. For these reasons, concurrent fMRI and EEG measurements represent an attractive technique to image human brain function with high spatial and temporal resolution. Unfortunately, simultaneous measurement of EEG and fMRI is made difficult due to EEG artifacts caused by the MR scanner. …

Dec 2008

Fluctuations in electrodermal activity reveal variations in single trial brain responses to painful laser stimuli - A fMRI/EEG study

by Dr. Jürgen Brinkmeyer, Rheinische Kliniken Düsseldorf

In a recent psychophysiological study using simultaneous electroencephalography/functional magnetic resonance imaging (EEG/fMRI) to investigate pain processing in the human brain we also sought to evaluate the usefulness of recording galvanic skin response (GSR)/electrodermal activity (EDA) during the course of the experiment. Our questions/objectives were a) is it possible to obtain single-trial EDA data in response to experimental pain during echoplanar functional magnetic resonance imaging? b) what is the cortical representation of electrodermal activity in response to experimental pain? c) can the psychophysiologically measured EDA further inform fMRI (and EEG) analysis? …

Sep 2008

BOLD Correlates of continuously fluctuating epileptic activity isolated by independent component analysis.

by Kay Jann, University of Bern, University Hospital of Psychiatry

In epilepsy the correct diagnosis of the syndrome and the identification of the irritative zone are of great interest since it is necessary for correct treatment and eventually surgical intervention. This irritative zone is not only involved in the epileptic crises, but also produces fluctuating interictal activity. Iterictal activity fluctuates spontaneously, has typical EEG signatures, and is assumed to mostly result from activity in sharply delimited regions. Therefore, a method that detects random events with high temporal and spatial resolution is needed...

Apr 2008

Effects of Simultaneous EEG Recording on MRI Data Quality at 1.5, 3 and 7 Tesla

by Karen Mullinger and Richard Bowtell, University of Nottingham

Concurrent EEG and fMRI is becoming an increasingly important tool in the investigation of human brain function. If the benefits of this tool are to be fully realised, it is important however to ensure that EEG and fMRI data acquired simultaneously are of similar quality to data acquired using each technique on its own. Making EEG recordings inside an MR scanner poses some particular technical challenges...

Jan 2008

Sleep consolidates memories

by Björn Rasch, University of Trier

It is assumed that the positive influence of sleep on memory consolidation is based on a covert reactivation of memories encoded during prior wakefulness. Specifically, fresh memory traces are initially stored in hippocampal areas and are subsequently re-activated during slow-wave sleep (SWS)...

Sep 2007

Auditory temporal grouping in newborn infants

by Dr. Gabor Stefanics, Institute for Psychology, Hungarian Academy of Sciences

Jun 2007

ERP differences with vs. without concurrent fMRI

by Dr. Aureliu Lavric, School of Psychology University of Exeter

Feb 2007

Synchronization facilitates removal of MRI artefacts from concurrent EEG recordings and increases usable bandwidth

by Prof. Dr. Daniel Brandeis, Department of Child and Adolescent Psychiatry, University of Zurich

Nov 2006

Using a combined ERP/TMS protocol to investigate corticocortical interactions in attention

by Martin Eimer, School of Psychology, Birkbeck College, University of London

Mar 2006

Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI

by Tom Eichele, University of Bergen

Sep 2005

Trial-by trial coupling of concurrent EEG and fMRI identifies the dynamics of performance monitoring

by Stefan Debener

Jul 2005

The Dynamics of Interhemispheric Compensatory Processes in Mental Imagery

by Alexander T. Sack

Jun 2005

Surface EMG measurements during fMRI at 3T: Accurate EMG recordings after artifact correction

by H. van Duinen, I. Zijdewind, H. Hoogduin & N. Maurits

Apr 2005

Measurement of vigilance and performance in a real-car based driving-simulator

by R. Mager, F. Müller-Spahn, A. H. Bullinger and R. Stoermer

Contact person: Ms. Stefanie Rudrich
Phone +49 (0) 8105 733 84 - 29, Fax +49 (0) 8105 733 84 - 33

Dec 2011

The human brain during changed gravity conditions

by Birgit Trogisch

Oct 2011

Brains Swinging in Concert

by Prof. Dr. Ulman Lindenberger, Dr. Viktor Müller and Johanna Sänger (Max Planck institute for Human Development)

Oct 2011

EEG recorded during gross-motor behavior

by Hoedlmoser, K., Birklbauer, J., Rigler, S., Mueller, E., & Schabus, M.

July 2011

Official publication of “Coherence between Brain Cortical Function and Neurocognitive Performance during Changed Gravity Conditions”

by Stefanie Rudrich

>> watch the video

April 2011

Exploring the EEG correlates of meditation

by Maria Kozhevnikov and James Elliott

April 2011

EEG in weightless conditions

by Stefanie Rudrich

>> watch the video

April 2009

Brain Products & Team PhyPa present Brain-Controlled Computer Game at MEDICA 2008

by Stefanie Rudrich

>> watch the video

Dec 2008

Brains in Space II – Brain research at the German Aerospace Centers’ (DLR) Short Arm Human Centrifuge

by Dr. Stefan Schneider, Dr. Sven Baerwalde and Simon Guardiera

>> watch the video

Sep 2008

Taking Brain-Computer Interface (BCI) research onto the track. Potential and challenges for increasing traffic safety.

by Sebastian Welke

Sep 2008

Our small contribution to a Gold Medal at the Olympic Games in Beijing

by Pierluigi Castellone, Sales & Support

Contact person: Ms. Stefanie Rudrich
Phone +49 (0) 8105 733 84 - 29, Fax +49 (0) 8105 733 84 - 33

Oct 2011

Brain Painting

nano (11.10.2011) – German Article / Video

• Read the German article
• Watch the German video

Sep 2011

Brain Research in Outer Space

SPIEGEL online (22.09.2011) – German Article

• Read the German article

Aug 2011

Future Now - Brain Research

Deutsche Welle (15.08.2011) – German Video

• Watch the German video

Aug 2011

Harnessing Brain Power to Move Stuff

Wall Street Journal (02.08.2011) – English Article

• Read the English article and watch the video

July 2011

Brain waves can cut braking distances, researchers say

BBC News (29.07.2011) – English Article

• Read the English article

July 2011

Think. Move. Live. - Maryland researcher decodes the thought process used for physical activity

TERP (Spring Issue 2011) – English Article

• Read the English article (page 20 - 23)

July 2011

The elderly - more mobile than you may think

Beobachter (08.07.11) – German Article from Switzerland

• Read the German article

Jun 2011

Can Devices be controlled by Brain Waves?

SWR Odysso (30.06.11) – German Video

• Watch the German video

Apr 2011

Researchers spy "the Brain's Labyrinth"

Welt Online (01.04.11) – German Article

• Read the German aricle

Mar 2011

Kids' Test demonstrates "Fluency"

Tagesspiegel (24.03.11) – German Article

• Read the German aricle

Dec 2010

The Mind Readers

Sueddeutsche Zeitung (04.12.10) – German Article

• Read the German aricle

Apr 2010

Autism Researchers Believe They're Close To Cure

KCRA News (30.04.10) – English Video

• Watch the English video

Apr 2010

The perfekt Beginning

ZDF Abenteuer Wissen (28.04.10) – German Article

• Read the German article

Apr 2010

Ready for Conflicts

3Sat Nano (19.04.10) – German Article / Video

• Read the German article and watch the video

Mar 2010

Brain Control

Zeit Online (05.03.10) – German Article / Video

• Read the German article
• Watch the Video on YouTube

Feb 2010

Bad Websites cause Web Stress

silicon.de (25.02.10) – German Article / English Survey Report

• Read the German article and browse the gallery
• Read the English survey report

June 2009

Brain Controlls Pinball Machine

Welt online (04.06.2009) – German Article

• Read the German article

June 2009

Brain-Controlled Pinball Game

Spiegel Online (04.06.2009) – German Article/German Video

• Read the German article
• Watch the German video

Mar 2009

Guitarists Don't Just Play Together, Their Brain Waves Sync Too

Scientific Blogging (16.03.2009) – English Article/Video

• Read the English article and watch the video

Contact person: Ms. Stefanie Rudrich
Phone +49 (0) 8105 733 84 - 29, Fax +49 (0) 8105 733 84 - 33

2009 - 2011

Wireless acquisition of local fieldpotentials and electrical stimulation of cerebral cortex for medical diagnostics and neuroprosthetics

What a title for a new project that dovetails with the successful completion of the FaSor project! For sure we needed an abbrivation for it and came up with "kalomed" (official website: kalomed.info).

So, what is this project all about?
Partners working alongside Brain Products include the Bremen Institute of Technology (ZKW, IMSAS, ITEM) and the University of Bonn (Epileptology). A system for use in epilepsy diagnostics and neuroprosthetics will be developed within the next 3 years. Implanted electrode grids send EEG data wirelessly to a receiver (outside the head) where the signals can be analyzed in real-time (spike detection as well as BCI algorithms are planned). Based on the categorized data, feedback is transmitted to the electrodes and electrical stimulation occurs. The whole system is intended to be portable and the power for both the electrodes and the stimuli will be induced externally.

Although the aims are ambitious, all of the partners are confident and highly motivated to
succeed in a project that is rich in promise. This project is financed by the BMBF (Federal Ministry of Education and Research) via the DLR (German Aerospace Center). The resulting product will have an enormous impact. More information will be available during the course of the project in our Press Releases and on the official project website which will be launched soon.

• visit the project's official website

Introducing the kalomed-Project
Type: pdf   Size: 241.7 KB

2007 - 2009

Fasor – Fahrer als Sensor

For the last 3 years, the FaSor project has been focusing on the interaction between driver, car and environment. Modern cars are equipped with various sensor technologies designed to increase both driver and traffic safety. Microsleep is one of the largest
causes of accidents and of enough concern for the BMBF (Federal Ministry of Education and Research) to finance a project in which the driver contributed to the study of whether it is possible to detect levels of vigilance while driving. To help achieve this, Daimler rebuilt one of its flagship vehicles, the S-type Mercedes, which, of course, was filled with Brain Products equipment such as a 128-channel BrainAmp system. Alongside images from a variety of cameras (front, back, driver), other relevant data such as steering wheel movements, speed and distance measurements were recorded synchronously with EEG data during the course of numerous 8-hour driving sessions. The driver, wearing our EEG cap, acted as the additional sensor.

All the data from each session was analyzed on a statistical and scientific basis. The following sessions were then adapted in the light of the obtained data.

Our contribution consisted of developing techniques which make it possible to record reliable EEG data during real driving sessions in a car. Besides eliminating unexpected problems (seat heating) which interfere with the EEG, head movements (e.g. looking over one‘s shoulder) were the critical artifacts which had to be dealt with while also ensuring that the equipment was comfortable to wear.

All of the experience gained contributed to the development of a new actiCAP electrode cap which can be used to record top-quality data in real-life environments. It also prompted us to set up our own eXtreme EEG project to gain more experience of real-life recordings and provide a database containing videos, data and reports for scientists. Dry electrodes are also being studied as a parallel development.

We would like to thank all project partners - Daimler, VDI/VDE-IT, TU Berlin, Fraunhofer FIRST, idalab and Charité Campus Benjamin Franklin - for their enthusiasm and motivation.

• visit the project's official website