Functional imaging and localization of electromagnetic brain activity

SummaryFunctional imaging of electric brain activity requires specific models to transform the signals recorded at the surface of the human head into an image. Two categories of model are available: single-time-point and spatio-temporal methods. The instantaneous methods rely only on the few voltage differences measured at one sampling point. To create a spatial image from this limited information, they require strict assumptions that rarely conform with the underlying physiology. Spatio-temporal models create two kinds of images: first, a spatial image of discrete equivalent multiple dipoles or regional sources, and second, an image of source current waveforms that reflect the temporal dynamics of the brain activity in circumscribed areas. The accuracy of the spatial image is model dependent and limited, but it can be validated from the spatio-temporal data by the "regional source imaging" technique, introduced here. The source waveforms are linear combinations of the scalp waveforms, and thus, specific derivations which image local brain activities at a macroscopic level. Brain source imaging of somatosensory evoked potentials revealed temporally overlapping activities from the brainstem, thalamus and from multiple sources in the region of the contralateral somatosensory projection areas.

[1]  A. Ioannides,et al.  Continuous probabilistic solutions to the biomagnetic inverse problem , 1990 .

[2]  Alan C. Evans,et al.  Lateralization of phonetic and pitch discrimination in speech processing. , 1992, Science.

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

[4]  C. C. Wood APPLICATION OF DIPOLE LOCALIZATION METHODS TO SOURCE IDENTIFICATION OF HUMAN EVOKED POTENTIALS * , 1980, Annals of the New York Academy of Sciences.

[5]  F. Richer,et al.  Methodological considerations for the evaluation of spatio-temporal source models. , 1991, Electroencephalography and clinical neurophysiology.

[6]  P Berg,et al.  Dipole modelling of eye activity and its application to the removal of eye artefacts from the EEG and MEG. , 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.

[7]  H. Buchner,et al.  Analyse der Generatoren früher kortikaler somatosensibel evozierter Potentiale (N. medianus) mit der Dipolquellenanalyse: Erste Ergebnisse , 1991 .

[8]  Donald O. Walter,et al.  Mass action in the nervous system , 1975 .

[9]  T W Picton,et al.  Separation and identification of event-related potential components by brain electric source analysis. , 1991, Electroencephalography and clinical neurophysiology. Supplement.

[10]  M. Scherg,et al.  A Source Analysis of the Late Human Auditory Evoked Potentials , 1989, Journal of Cognitive Neuroscience.

[11]  J.C. Mosher,et al.  Multiple dipole modeling and localization from spatio-temporal MEG data , 1992, IEEE Transactions on Biomedical Engineering.

[12]  A Z Snyder,et al.  Dipole source localization in the study of EP generators: a critique. , 1991, Electroencephalography and clinical neurophysiology.

[13]  M. Scherg Fundamentals if dipole source potential analysis , 1990 .

[14]  M R Schneider,et al.  A multistage process for computing virtual dipolar sources of EEG discharges from surface information. , 1972, IEEE transactions on bio-medical engineering.

[15]  M. Scherg,et al.  Somatosensory evoked potentials and magnetic fields: separation of multiple source activities. , 1993, Physiological measurement.

[16]  F. Perrin,et al.  Spherical splines for scalp potential and current density mapping. , 1989, Electroencephalography and clinical neurophysiology.

[17]  A. Achim,et al.  Methods for separating temporally overlapping sources of neuroelectric data , 2005, Brain Topography.

[18]  J. D. de Munck,et al.  The estimation of time varying dipoles on the basis of evoked potentials. , 1990, Electroencephalography and clinical neurophysiology.

[19]  Michael Scherg,et al.  Dipole sources potentials of the auditory cortex in normal subjects and in patients with temporal lobe lesions , 1990 .

[20]  P. Berg,et al.  Use of prior knowledge in brain electromagnetic source analysis , 2005, Brain Topography.

[21]  J. D. Munck The estimation of time varying dipoles on the basis of evoked potentials. , 1990 .

[22]  M. Scherg,et al.  Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model. , 1985, Electroencephalography and clinical neurophysiology.

[23]  H. Spekreijse,et al.  Mathematical dipoles are adequate to describe realistic generators of human brain activity , 1988, IEEE Transactions on Biomedical Engineering.

[24]  R. Pascual-Marqui,et al.  Current source density estimation and interpolation based on the spherical harmonic Fourier expansion. , 1988, The International journal of neuroscience.

[25]  Riaz A Khan,et al.  SOURCE LOCALIZATION OF BRAIN ELECTRICAL ACTIVITY VIA TIME-FREQUENCY LINEARLY CONSTRAINED MINIMUM VARIANCE METHOD , 2005 .

[26]  B. W. van Dijk,et al.  An analytic method to determine the effect of source modeling errors on the apparent location and direction of biological sources , 1988 .

[27]  P. T. Fox,et al.  Positron emission tomographic studies of the cortical anatomy of single-word processing , 1988, Nature.

[28]  H. Spekreijse,et al.  Principal components analysis for source localization of VEPs in man , 1987, Vision Research.

[29]  M. Scherg,et al.  Evoked dipole source potentials of the human auditory cortex. , 1986, Electroencephalography and clinical neurophysiology.

[30]  Christoph Baumgartner,et al.  Investigation of multiple simultaneously active brain sources in the electroencephalogram , 1989, Journal of Neuroscience Methods.