Projects & References
Publications
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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 150 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:
1.
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
Center of Mathematics, Computation and Cognition - Universidade Federal do ABC, Brazil; NIF/LIM44 - Departamento de Radiologia da Faculdade de Medicina da Universidade de Sao Paulo, Brazil; The CINAPCE Project, Sao Paulo, Brazil.
3.
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
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
4.
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
Ghent University, Department of Electronics and Information Systems, MEDISIP-IBBT-IbiTech, De Pintelaan 185, B-9000 Ghent, Belgium.
5.
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
Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands.
6.
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
Department of Biomedical Engineering, University of Minnesota, Twin Cities, 7-105 Hasselmo Hall, 312 Church Street, Minneapolis, MN 55455, USA.
7.
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
Katholieke Universiteit Leuven, Department of Electrical Engineering, ESAT-SCD, Kasteelpark Arenberg 10-bus 2446, B-3001 Leuven, Belgium.
8.
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
Department of Neuroscience University of Pisa, 56100 Pisa, Italy.
9.
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
Department of Clinical Sciences and Bio-imaging, University "G. D'Annunzio", Chieti, Italy,
10.
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
Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, University College London, London and MRI Unit, The National Society for Epilepsy, Chalfont St Peter, Buckinghamshire, UK.
11.
Levan, P., L. Tyvaert and J. Gotman,
Modulation by EEG features of BOLD responses to interictal epileptiform discharges.
Neuroimage, 2009.
Link to PubMed
Montreal Neurological Institute, McGill University, Montreal, Canada.
12.
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
School of Psychology, University of Birmingham, Birmingham, UK; Birmingham University Imaging Centre (BUIC), University of Birmingham, Birmingham, UK; ISTC-CNR, Ospedale Fatebenefratelli, Isola Tiberina, 00186 Rome, Italy; ITAB-Institute for Advanced Biomedical Technologies, "G. D'Annunzio" University, Chieti, Italy.
13.
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
Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
14.
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
Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
15.
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
Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455 USA.
16.
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
National Society for Epilepsy MRI Unit, Department of Clinical and Experimental Epilepsy UCL Institute of Neurology and National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK; Presurgical Evaluation for Epilepsy Unit, Neurology Department, University Hospital and University of Geneva, Switzerland.
17.
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
Department of Psychiatry, LMU, Munich, Germany; Munich University of Applied Science, Munich, Germany.
18.
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
Department of Radiology Brigham and Women's Hospital, Harvard Medical School, MA, USA.
19.
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
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Nussbaumstrasse 7, 80336, Munich, Germany
20.
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
Institute for Biomedical Engineering, University and ETH Zurich Mail: Gloriastr. 35, ETZ-F97, 8092 Zurich, Switzerland.
21.
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
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany; Department of Psychiatry, Harvard Medical School and VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry and Psychotherapy, Centre for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
22.
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
Neuropsychiatric Research Laboratory, Department of Psychiatry, Heinrich-Heine University Duesseldorf, Germany; Institute of Neurosciences and Biophysics, Helmholtz Research Center Juelich, Germany.
23.
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
Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, United Kingdom.
25.
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
Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, UK
26.
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
Max Planck Institute of Psychiatry, Munich, Germany
27.
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
Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK; Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK.
29.
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
Montreal Neurological Institute, McGill University, Montreal, Canada.
30.
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
School of Psychology, University of Birmingham; Birmingham University Imaging Centre, University of Birmingham.
31.
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
Department of Neuropediatrics, Christian-Albrechts-University, Kiel, Germany
32.
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.
33.
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
Berlin Neuroimaging Center and Department of Neurology, Charite Universitaetsmedizin, Berlin, Germany.
34.
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
Wellcome Trust Centre for Neuroimaging, University College of London, UK.
35.
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
Montreal Neurological Institute and Hospital, McGill University, Montreal, PQ, Canada.
36.
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
Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
37.
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
Berlin NeuroImaging Center and Department of Neurology, Charite Universitaetsmedizin, Chariteplatz 1, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience, Berlin, Germany.
38.
Tyvaert, L., P. Levan, F. Dubeau and J. Gotman,
Noninvasive dynamic imaging of seizures in epileptic patients.
Hum Brain Mapp, 2009.
Link to PubMed
Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada H3A 2B4.
39.
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
Department of Psychiatry, Heinrich-Heine University, Duesseldorf, Germany.
40.
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
Berlin NeuroImaging Center and Department Neurology, Charite, Berlin, Germany.
41.
Yan, W.X., K.J. Mullinger, M.J. Brookes and R. Bowtell,
Understanding gradient artefacts in simultaneous EEG/fMRI.
Neuroimage, 2009.
Link to PubMed
Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, UK.
42.
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
Department of Neurology and Center for Advanced Imaging, University of Magdeburg/Germany, Leipziger Str. 44, D-39120 Magdeburg, Germany.
43.
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
Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, FI-02015 TKK, Espoo, Finland.
44.
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
Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada.
45.
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
Instituto de Fisica Gleb Wataghin, Universidade Estadual de Campinas, Campinas, SP, Brasil.
46.
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
Human Cortical Physiology Section and Stroke Neurorehabilitation, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
47.
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.
Neuroimage, 2009. 46(3): p. 834-43.
Link to PubMed
National Society for Epilepsy MRI Unit, Department of Clinical and Experimental Epilepsy UCL Institute of Neurology and National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
48.
Moeller, F., H.R. Siebner, S. Wolff, H. Muhle, O. Granert, O. Jansen, U. Stephani and M. Siniatchkin,
Mapping brain activity on the verge of a photically induced generalized tonic-clonic seizure.
Epilepsia, 2009. 50(6): p. 1632-7.
Link to PubMed
Department of Neuropediatrics, Christian-Albrechts-University, Kiel, Germany.
49.
Yu, J.M., L. Tyvaert, P. Levan, R. Zelmann, F. Dubeau, J. Gotman and E. Kobayashi,
EEG spectral changes underlying BOLD responses contralateral to spikes in patients with focal epilepsy.
Epilepsia, 2009.
Link to PubMed
Montreal Neurological Institute and Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.
50.
Sun, L. and H. Hinrichs,
Simultaneously recorded EEG-fMRI: Removal of gradient artifacts by subtraction of head movement related average artifact waveforms.
Hum Brain Mapp, 2009.
Link to PubMed
Department of Neurology, Center for Advanced Imaging (CAI), University of Magdeburg, Magdeburg, Germany.
51.
Esposito, F., C. Mulert and R. Goebel,
Combined distributed source and single-trial EEG-fMRI modeling: application to effortful decision making processes.
Neuroimage, 2009. 47(1): p. 112-21.
Link to PubMed
Department of Cognitive Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, Maastricht, The Netherlands.
52.
Jacobs, J., P. Levan, F. Moeller, R. Boor, U. Stephani, J. Gotman and M. Siniatchkin,
Hemodynamic changes preceding the interictal EEG spike in patients with focal epilepsy investigated using simultaneous EEG-fMRI.
Neuroimage, 2009. 45(4): p. 1220-31.
Link to PubMed
Neuropediatric Department, University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel, Schwanenweg 20, D-24105 Kiel, Germany.
53.
Moosmann, M., V.H. Schonfelder, K. Specht, R. Scheeringa, H. Nordby and K. Hugdahl,
Realignment parameter-informed artefact correction for simultaneous EEG-fMRI recordings.
Neuroimage, 2009. 45(4): p. 1144-50.
Link to PubMed
Department of Biological and Medical Psychology, University of Bergen, Norway.
54.
Viola, F.C., J. Thorne, B. Edmonds, T. Schneider, T. Eichele and S. Debener,
Semi-automatic identification of independent components representing EEG artifact.
Clin Neurophysiol, 2009. 120(5): p. 868-77.
Link to PubMed
MRC Institute of Hearing Research, Southampton, UK.
55.
Donaire, A., N. Bargallo, C. Falcon, I. Maestro, M. Carreno, J. Setoain, J. Rumia, S. Fernandez, L. Pintor and T. Boget,
Identifying the structures involved in seizure generation using sequential analysis of ictal-fMRI data.
Neuroimage, 2009. 47(1): p. 173-83.
Link to PubMed
Hospital Clinic, Barcelona, Spain.
56.
Rasheed, T., Y.K. Lee, S.Y. Lee and T.S. Kim,
Attenuation of artifacts in EEG signals measured inside an MRI scanner using constrained independent component analysis.
Physiol Meas, 2009. 30(4): p. 387-404.
Link to PubMed
Department of Computer Engineering, Kyung Hee University, Republic of Korea, 449-701 Suwon, Republic of Korea.
57.
Jann, K., T. Dierks, C. Boesch, M. Kottlow, W. Strik and T. Koenig,
BOLD correlates of EEG alpha phase-locking and the fMRI default mode network.
Neuroimage, 2009. 45(3): p. 903-16.
Link to PubMed
Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
58.
Groening, K., V. Brodbeck, F. Moeller, S. Wolff, A. van Baalen, C.M. Michel, O. Jansen, R. Boor, G. Wiegand, U. Stephani, and M. Siniatchkin,
Combination of EEG-fMRI and EEG source analysis improves interpretation of spike-associated activation networks in paediatric pharmacoresistant focal epilepsies.
Neuroimage, 2009.
Link to PubMed
Neuropaediatric Department, Christian-Albrechts-University, Kiel, Germany.
59.
Esposito, F., A. Aragri, T. Piccoli, G. Tedeschi, R. Goebel and F. Di Salle,
Distributed analysis of simultaneous EEG-fMRI time-series: modeling and interpretation issues.
Magn Reson Imaging, 2009.
Link to PubMed
Department of Neuroscience, University of Naples "Federico II", 80131 Naples, Italy; Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands.
60.
Bai, X., Z. Liu, N. Zhang, W. Chen and B. He,
Three-dimensional source imaging from simultaneously recorded ERP and BOLD-fMRI.
IEEE Trans Neural Syst Rehabil Eng, 2009. 17(2): p. 101-6.
Link to PubMed
Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
62.
Karch, S., C. Mulert, T. Thalmeier, J. Lutz, G. Leicht, T. Meindl, H.J. Moller, L. Jager and O. Pogarell,
The free choice whether or not to respond after stimulus presentation.
Hum Brain Mapp, 2009.
Link to PubMed
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians University Munich, Munich, Germany.
63.
Mobascher, A., J. Brinkmeyer, T. Warbrick, F. Musso, H.J. Wittsack, A. Saleh, A. Schnitzler and G. Winterer,
Laser-evoked potential P2 single-trial amplitudes covary with the fMRI BOLD response in the medial pain system and interconnected subcortical structures.
Neuroimage, 2009.
Link to PubMed
Neuropsychiatric Research Laboratory, Department of Psychiatry, Heinrich-Heine University, Bergische Landstr. 2 40629, Duesseldorf, Germany; Institute of Neurosciences and Biophysics, Helmholtz Research Center Juelich, Germany.
64.
Koskinen, M. and N. Vartiainen,
Removal of ballistocardiogram artifact from EEG data acquired in the MRI scanner: Selection of ICA components.
Conf Proc IEEE Eng Med Biol Soc, 2008. 2008: p. 5220-3.
Link to PubMed
Advanced Magnetic Imaging Centre and Brain Research Unit, Low Temperature laboratory, Helsinki University of Technology, Finland.
65.
Ranta-Aho, P.O., E.I. Niskanen, S. Georgiadis, M. Kononen, M.P. Tarvainen and P.A. Karjalainen,
Estimation of single-trial fMRI BOLD responses using combined EEG and fMRI measurements.
Conf Proc IEEE Eng Med Biol Soc, 2008. 2008: p. 299-302.
Link to PubMed
Department of Physics, University of Kuopio, Finland.
66.
Olbrich, S., C. Mulert, S. Karch, M. Trenner, G. Leicht, O. Pogarell and U. Hegerl,
EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement.
Neuroimage, 2009. 45(2): p. 319-32.
Link to PubMed
Department of Psychiatry, University of Leipzig, Semmelweisstrasse 10, D-04103 Leipzig, Germany.
68.
Ben-Simon, E., I. Podlipsky, A. Arieli, A. Zhdanov and T. Hendler,
Never resting brain: simultaneous representation of two alpha related processes in humans.
PLoS ONE, 2008. 3(12): p. e3984.
Link to PubMed
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
69.
Roberts, K., A. Papadaki, C. Goncalves, M. Tighe, D. Atherton, R. Shenoy, D. McRobbie and P. Anand,
Contact heat evoked potentials using simultaneous EEG and fMRI and their correlation with evoked pain.
BMC Anesthesiol, 2008. 8: p. 8.
Link to PubMed
Imperial College Healthcare NHS Trust, London, UK.
70.
Brookes, M.J., J. Vrba, K.J. Mullinger, G.B. Geirsdottir, W.X. Yan, C.M. Stevenson, R. Bowtell and P.G. Morris,
Source localisation in concurrent EEG/fMRI: applications at 7T.
Neuroimage, 2009. 45(2): p. 440-52.
Link to PubMed
Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
71.
Leclercq, Y., E. Balteau, T. Dang-Vu, M. Schabus, A. Luxen, P. Maquet and C. Phillips,
Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA).
Neuroimage, 2009. 44(3): p. 679-91.
Link to PubMed
Cyclotron Research Centre, University of Liege, Belgium.
72.
Tyvaert, L., P. Levan, C. Grova, F. Dubeau and J. Gotman,
Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies.
Clin Neurophysiol, 2008. 119(12): p. 2762-74.
Link to PubMed
EEG Department, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Que., Canada H3A 2B4.
73.
Gebhardt, H., C.R. Blecker, M. Bischoff, K. Morgen, P. Oschmann, D. Vaitl and G. Sammer,
Synchronized measurement of simultaneous EEG-fMRI: A simulation study.
Clin Neurophysiol, 2008. 119(12): p. 2703-11.
Link to PubMed
Bender Institute of Neuroimaging, Justus-Liebig University, Otto-Behaghel-Strasse 10H, 35394 Giessen, Germany; Cognitive Neuroscience Lab at the Center for Psychiatry, Justus-Liebig University, Am Steg 28, 35385 Giessen, Germany.
74.
Francis, S., X. Lin, S. Aboushoushah, T.P. White, M. Phillips, R. Bowtell and C.S. Constantinescu,
fMRI analysis of active, passive and electrically stimulated ankle dorsiflexion.
Neuroimage, 2009. 44(2): p. 469-79.
Link to PubMed
Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astrononmy, University of Nottingham, UK.
75.
Mobascher, A., J. Brinkmeyer, T. Warbrick, F. Musso, H.J. Wittsack, R. Stoermer, A. Saleh, A. Schnitzler and G. Winterer,
Fluctuations in electrodermal activity reveal variations in single trial brain responses to painful laser stimuli--a fMRI/EEG study.
Neuroimage, 2009. 44(3): p. 1081-92.
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Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands.
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Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology (NICT), 588-2 Iwaoka, Iwaoka-cho, Nishi-ku, Kobe, Hyogo, 651-2492, Japan.
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Berlin Neuroimaging Center and Department of Neurology, Charite Universitaetsmedizin Berlin, Germany.
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Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy University of Nottingham, Nottingham, United Kingdom.
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The Sir Peter Mansfield Magnetic Resonance, Centre School of Physics and Astronomy, University of Nottingham, NG7 2RD Nottingham, UK.
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F.C. Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, The Netherlands.
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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
Institute of Neurophysiology and Pathophysiology, Center of Experimental Medicine, University Medical Center, Hamburg University, D-20246 Hamburg, Germany.
151.
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
Department of Biological and Medical Psychology, University of Bergen, 5009 Bergen, Norway.
152.
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
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea.
153.
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
F.C. Donders Centre for Cognitive Neuroimaging, University of Nijmegen, Adelbertusplein 1, 6525 EK Nijmegen, The Netherlands.
154.
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
Advanced Science and Technology of Materials, NICHe, Tohoku University, Aoba 10, Aramaki, Aobaku, Sendai 980-8579, Japan.
155.
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
Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut fur Biophysikalische Chemie, Gottingen, Germany.
156.
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
Berlin NeuroImaging Center, Charite-Universitatsmedizin Berlin, Berlin, Germany.
157.
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
Laboratory for Dynamics of Emergent Intelligence, RIKEN Brain Science Institute, 2-1, Hirosawa, Wako-shi, Saitama 351-0198
158.
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
fMRI Laboratory of Brain Science Research Center, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
159.
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
BCN-NeuroImaging Center, University of Groningen Medical Center, Groningen, The Netherlands.
160.
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
University Hospital of Clinical Psychiatry, Department of Psychiatric Neurophysiology, Andrea Federspiel, PhD, Waldau, CH-3000 Bern 60, Switzerland.
161.
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
Department of Neurology and Clinical Neurophysiology, University Vita-Salute, Scientific Institute Hospital San Raffaele, Milan, Italy.
162.
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
Bender Institute of Neuroimaging, University of Giessen, Otto-Behaghel-Str. 10F, D-35394 Giessen, Germany.
163.
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
Department of Psychiatry and Psychotherapy, University of Freiburg, Germany.
164.
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
Department of Biomedical Engineering, Yonsei University, 234 Maeji-ri, Heungup-myun, Wonju, Kangwon-do 220-710, South Korea.
165.
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
Department of Neurology, Charite, Humboldt University, Berlin, Germany.
166.
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
Cognitive Neurology Unit, Department of Neurology, J. W. Goethe University, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
167.
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
Department of Neurology, Johann Wolfgang Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Selected Review Articles and Meta-Analyses
2.
Rosenkranz, K. and L. Lemieux,
Present and future of simultaneous EEG-fMRI.
Magma.
Link to PubMed
Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, 33 Queen Square, London, WC1N 3BG, UK,
24.
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
Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, University College London, Queen Square, London, United Kingdom.
28.
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
Department of Neurology, Policlinico Umberto I, University of Rome La Sapienza, Rome, Italy.
61.
Eichele, T., V.D. Calhoun and S. Debener,
Mining EEG-fMRI using independent component analysis.
Int J Psychophysiol, 2009.
Link to PubMed
Department of Biological and Medical Psychology, University of Bergen, 5009 Bergen, Norway.
67.
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
Cuban Neuroscience Center, Havana, Cuba.
99.
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
Johann Wolfgang Goethe-Universitat, Zentrum der Neurologie und Neurochirurgie, Klinik fur Neurologie, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
109.
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
Department of Biological Psychology, Otto-von-Guericke-University of Magdeburg, P.O. Box 4120, 39016 Magdeburg, Germany.
114.
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
Department of Biological and Medical Psychology, University of Bergen, Jonas Lies Vei 91, 5011 Bergen, Norway.
136.
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
MRC Institute of Hearing Research Southampton, Royal South Hants Hospital, Southampton, SO14 0YG, UK.
140.
Ritter, P. and A. Villringer,
Simultaneous EEG-fMRI.
Neurosci Biobehav Rev, 2006. 30(6): p. 823-38.
Link to PubMed
Berlin Neuroimaging Center and Charite, Universitatsmedizin, Berlin.
User Research
Phone +49 (0) 8105 733 84 - 14, Fax +49 (0) 8105 733 84 - 33
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. ...
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March 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. ...
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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).. …
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April 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. …
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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? …
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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...
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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...
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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)...
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Sep 2007
Auditory temporal grouping in newborn infants
by Dr. Gabor Stefanics, Institute for Psychology, Hungarian Academy of Sciences
Auditory pattern formation is an important higher level function of auditory perception. The ability to detect repeating pitch patterns, i.e., to form groups from a short sequence of sounds, underlies skills that are crucial for making sense of complex auditory scenes as well as to learn speech and music...
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Jun 2007
ERP differences with vs. without concurrent fMRI
by Dr. Aureliu Lavric, School of Psychology University of Exeter
The rigorous integration of EEG-derived ERPs and fMRI requires concurrent data acquisition, which poses non-trivial problems, in particular regarding EEG contamination by artefact from switches of MRI gradients and from pulsatile motion of scalp electrodes caused by the cardiac cycle in the large stationary magnetic field...
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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
Non-invasive simultaneous EEG and fMRI measurements have started to clarify the coupling between metabolic and electrical aspects of human brain function. Initial developments were driven by clinical application in epilepsy [1, 2], where the critical EEG signals are large in amplitude and low in frequency (over 100μV and under 30Hz)...
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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
It is generally acknowledged that the aim of cognitive neuroscience to identify the neural basis of cognitive functions in the human brain cannot be achieved on the basis of a single method. Developing joint-method approaches where different measurement techniques with complementary strengths are combined has therefore become a major focus in neuroscience...
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Mar 2006
Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI
by Tom Eichele, University of Bergen
How do we get around to ‘Having [y]our voxels and timing them too?’ (1) We certainly need to acquire functional magnetic resonance (BOLD-fMRI) and event-related potential (ERP) data simultaneously (2). Technically, this should be quite easy – at least in our experience, using BrainAmps MR plus amplifiers...
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Sep 2005
Trial-by trial coupling of concurrent EEG and fMRI identifies the dynamics of performance monitoring
by Stefan Debener
There is continuing interest in the integration of EEG and fMRI, as these signals provide complementary information with regard to the temporal and spatial resolution of brain activity. So far, a direct event-related coupling between electrophysiological brain activity and the hemodynamic BOLD response has been demonstrated only by means of invasive animal recordings...
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Jul 2005
The Dynamics of Interhemispheric Compensatory Processes in Mental Imagery
by Alexander T. Sack
The leading journal Science recently published an article on the brain research of the Maastricht scientists Alexander T. Sack and Rainer Goebel. A research that breaks new grounds. The researchers, attached to the Faculty of Psychology, unravel in this publication the specific functions of the left and right hemisphere during the process of mental imagery...
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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
In a joint effort of the BCN-Neuroimaging Center and the departments of Clinical Neurophysiology and Medical Physiology of the University of Groningen Medical Center (NL), it has recently been shown that accurate surface EMG can be collected simultaneously with fMRI scanning at 3T...
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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
The goal of the study was to evaluate physiological measures and objective performance parameters in sleep deprived drivers. Arousing auditory stimuli were applied by a hypovigilance warning system. Overall 41 subjects were selected, matched for age and driving experience. To create realistic traffic scenarios in a laboratory environment a passenger car simulator was used emulating the functionality of a modern car.
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Products in Practice
Phone +49 (0) 8105 733 84 - 14, Fax +49 (0) 8105 733 84 - 33
April 2009
Brain Products & Team PhyPa present Brain-Controlled Computer Game at MEDICA 2008
by Stefanie Rudrich
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>> 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
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Type: avi Size: 11.3 MB
Sep 2008
Taking Brain-Computer Interface (BCI) research onto the track. Potential and challenges for increasing traffic safety.
by Sebastian Welke
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Sep 2008
Our small contribution to a Gold Medal at the Olympic Games in Beijing
by Pierluigi Castellone, Sales & Support
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Media Coverage
Phone +49 (0) 8105 733 84 - 29, Fax +49 (0) 8105 733 84 - 33
Apr 2010
Autism Researchers Believe They're Close To Cure
KCRA News (30.04.10) – English Video
Researchers at the UC Davis MIND Institute believe a new treatment could make signs of autism disappear.
Apr 2010
The perfekt Beginning
ZDF Abenteuer Wissen (28.04.10) – German Video
Already in the 6th month of pregnancy babies have their own personality. Using the example of a pregnant 30 year old woman this report shows the world of a fetus.
Apr 2010
Ready for Conflicts
3Sat Nano (19.04.10) – German Article / Video
"Different sorts of conflicts are processed in different areas of our brain" says Dr. Birgit Stürmer from Humboldt University in Berlin / Germany.
Mar 2010
Brain Control
Zeit Online (05.03.10) – German Article / Video
Driving cars, playing pinball or controlling a wheelchair only by the means of willpower. Researchers from TU Berlin give an impressive demonstration at Cebit 2010.
Feb 2010
Bad Websites cause Web Stress
silicon.de (25.02.10) – German Article / English Survey Report
Lousily designed and slowly loading websites cause web stress. This is the result of a new study conducted by CA Deutschland GmbH and the consulting company Foviance.
Feb 2010
Sculling along Sounds
German Sculling Association (24.02.10) – German Article
Researcher team at Hannover University records brain waves of competitive athletes.
Oct 2009
actiCAP stars in Japanese TV series
"Mr. Brain" (Episode 2) – Japanese video with English subtitles
Click the link below to watch "Mr. Brain". The actiCAP appears after 2 minutes.
June 2009
Telepathy via a "bathing cap"
"ZDF heute Nacht" (09.06.2009) – German TV Report (Video)
A German newscast reporting on the brain-controlled pinball game (see below) performed by researchers (Prof. Dr. Klaus Robert Müller, Dr. Michael Tangermann, etc.) from the TU Berlin.
June 2009
Brain Controlls Pinball Machine
Welt online (04.06.2009) – German Article
Michael Tangermann plays pinball - and given the fact that he is not using his hands to do so he is a pretty gifted player. Tangermann controlls the machine only by his thoughts. Some years ago this required 300 hours of practice - today it takes only 10 to 20 minutes.
June 2009
Brain-Controlled Pinball Game
Spiegel Online (04.06.2009) – German Article/German Video
Controlling machines only by the means of willpower and imagination: Researchers from Berlin / Germany recently developed a device that makes this possible! A demonstration showed how a pinball machine can be controlled without using your hands ...
Mar 2009
Guitarists Don't Just Play Together, Their Brain Waves Sync Too
Scientific Blogging (16.03.2009) – English Article/Video
Synchronized, goal-directed actions are nothing new; that concept is the foundation of civilization. But it goes much deeper than previously realized, according to research in BMC Neuroscience. It isn't just voluntary cooperation that happens, sometimes it is at the unconscious brain level.
Nov 2008
New Mercedes E-Class: 10 times more safety
Auto, Motor + Sport (24.11.2008) – German Article
In March 2009 Mercedes will launch its new E Class equipped with dozens of
safety features. “Auto, Motor + Sport” introduces the 10 most significant safety innovations …
Oct 2008
Brain Researchers Fighting Microsleep
RBB - OZON (27.10.2008) – German Article
It almost sounds like a fairy tale: To realize a car crash before it actually happens. However, that is Sebastian Welke's objective. The brain researcher from Berlin (Germany) looks into the drivers' brains and analysis their reactions.
Sep 2008
Attention Assist System for Sleepy Heads
Stern (13.09.2008) – German Article
The microsleep has become one of the most common causes of car accidents. Mercedes is planning to install a newly developed “Attention Assist System” in its next E-Class. This system monitors the behavior of the driver constantly and raises an alarm in time.
Jun 2008
BCI on local Dutch television
Fifty-Two-Degrees (30.06.2008) - Video from the Netherlands
Local webcasters www.fiftytwodegrees.tv did a short item on BrainGain (a Dutch research consortium consisting of researchers, industry and potential users of Brain-Computer and Computer-Brain interfaces) using the actiCAP control software.
Jun 2008
The Pattern is what matters!
Gehirn & Geist (30.06.2008) - German Article
According to a recent study imaging procedures tell, when our brain is particularly error-prone. A co-author of the study, Markus Ullsperger from the Max-Planck - Institute for Neurological Research in Cologne, explains why.
May 2008
Monkey’s Brain controls robot arm
BBC (28.05.2008)
Monkeys have been able to control robotic limbs using only their thoughts, scientists report. The animals were able to feed themselves using prosthetic arms, which were controlled by brain activity.
May 2008
Wait a Second!
Focus (10.05.2008) - German Article
Psychological techniques derived from Buddhism such as mindfulness and meditation have proven to be effective means to fight stress and burn-out; they create happiness.
Dec 2007
A Journey Through the Night
Spiegel Online (11.12.2007) - German Article
The Mercedes system can detect via steering wheel movements how tired a driver is. In 2009 the electronic night watchman will enter series production. Tom Grünweg drove drowsily through Stuttgart and tested Mercedes' anti-fatigue alarm for SPIEGEL ONLINE.
Sep 2007
Error Detection in the Grey Matter: Have Scientists discovered Intuition?
Spiegel International Online (21.07.2007)
Whenever humans recognize a mistake, a mysterious wave of electricity passes through the brain. Researchers think the signal could explain addiction, error correction and even the sixth sense.
Current Projects
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.
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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.
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