The sensitivity of instantaneous coherence for considering elementary comparison processing. Part II: Similarities and differences between EEG and MEG coherences.

The EEG (electroencephalogram) coherence depends on EEG deviation type. A high level of sensitivity of instantaneous coherence for investigating elementary cognitive tasks could be shown in the case of unipolar reference (ear lobe reference). In order to validate of this result the same investigations were performed for MEG (magnetoencephalogram) coherence, where EEG and MEG were measured simultaneously. A strong correlation between time intervals with high EEG and MEG coherence could be shown. The equivalence of the sensitivity of EEG and MEG coherence for the description of the dynamic behaviour of information processing and the distinction between different elementary cognitive tasks is proven statistically.

[1]  Manfried Hoke,et al.  Biomagnetism: Clinical Aspects , 1992 .

[2]  H Nowak,et al.  Multichannel magnetography in unshielded environments. , 1991, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[3]  E. Halgren,et al.  Generators of the late cognitive potentials in auditory and visual oddball tasks. , 1998, Electroencephalography and clinical neurophysiology.

[4]  S. Weiss,et al.  EEG coherence within the 13–18 Hz band as a correlate of a distinct lexical organisation of concrete and abstract nouns in humans , 1996, Neuroscience Letters.

[5]  G Fein,et al.  Common reference coherence data are confounded by power and phase effects. , 1988, Electroencephalography and clinical neurophysiology.

[6]  D. Tucker,et al.  EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. , 1997, Electroencephalography and clinical neurophysiology.

[7]  Mingui Sun,et al.  Time-Frequency Domain Problems in the Neurosciences , 1992 .

[8]  A. Mager Grossräumige magnetische abschirmungen , 1975 .

[9]  H. Petsche Die flirrende Welt der Aufmerksamkeit: Zur Neurophysiologie kognitiver Prozesse , 1995 .

[10]  H. Petsche,et al.  EEG Aspects of Cognitive Processes: A Contribution to the Proteus-like Nature of Consciousness , 1998 .

[11]  G Pfurtscheller,et al.  Event-related coherence as a tool for studying dynamic interaction of brain regions. , 1996, Electroencephalography and clinical neurophysiology.

[12]  Olaf Dössel,et al.  A 31-channel squid system for biomagnetic imaging , 1993 .

[13]  P J Franaszczuk,et al.  A general statistical framework for frequency-domain analysis of EEG topographic structure. , 1997, Computers and biomedical research, an international journal.

[14]  A A Fife,et al.  Biomagnetometers for unshielded and well shielded environments. , 1991, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[15]  J. Haueisen,et al.  Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head , 1997, IEEE Transactions on Biomedical Engineering.

[16]  J.P. Wikswo,et al.  SQUID magnetometers for biomagnetism and nondestructive testing: important questions and initial answers , 1995, IEEE Transactions on Applied Superconductivity.

[17]  M. Hallett,et al.  Event-related coherence and event-related desynchronization/synchronization in the 10 Hz and 20 Hz EEG during self-paced movements. , 1997, Electroencephalography and clinical neurophysiology.

[18]  Antoine Rémond,et al.  Methods of Analysis of Brain Electrical and Magnetic Signals , 1987 .

[19]  C. Braun,et al.  Adaptive AR modeling of nonstationary time series by means of Kalman filtering , 1998, IEEE Transactions on Biomedical Engineering.

[20]  H Petsche,et al.  Thinking with images or thinking with language: a pilot EEG probability mapping study. , 1992, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[21]  R. Hari,et al.  Recording and interpretation of cerebral magnetic fields. , 1989, Science.

[22]  H Sattel,et al.  Discrimination of Alzheimer's disease and normal aging by EEG data. , 1997, Electroencephalography and clinical neurophysiology.