Identifying mutual information transfer in the brain with differential-algebraic modeling: Evidence for fast oscillatory coupling between cortical somatosensory areas 3b and 1

NeuroImage

Volumn 37, Issue 1, 2007, Pages 130-136

  Haueisen, Jens ^a,b   Leistritz, Lutz ^b   Süsse, Thomas ^b   Curio, Gabriel ^c   Witte, Herbert ^b  

^a ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^b FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^c CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

600 Hz activity; Oscillatory networks; Parameter identification; Somatosensory evoked fields; Somatosensory evoked potentials

Indexed keywords

ADULT; ARTICLE; ELECTROSTIMULATION; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL MODEL; MEDIAN NERVE; NERVE STIMULATION; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; SOMATOSENSORY CORTEX;

AFFERENT PATHWAYS; BRAIN MAPPING; CORPUS CALLOSUM; DOMINANCE, CEREBRAL; ELECTRIC STIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; EVOKED POTENTIALS, SOMATOSENSORY; HUMANS; LINEAR MODELS; MAGNETOENCEPHALOGRAPHY; MEDIAN NERVE; MODELS, THEORETICAL; NERVE NET; OSCILLOMETRY; SENSORY THRESHOLDS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SOMATOSENSORY CORTEX;

EID: 34447580194     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.04.036     Document Type: Article

References (50)

1. Baker S.N., et al. EEG oscillations at 600 Hz are macroscopic markers for cortical spike bursts. J. Physiol. (London) 550 (2003) 529-534
2. Bock H.G. Numerical treatment of inverse problems in chemical reaction systems. Springer Ser. Chem. Phys. 18 (1981) 102-125
3. Bock, H.G., 1981b. Derivative Free Methods for Parameter Identification in Nonlinear Differential Equations. Mathematical Report. Faculty of Mathematics and Natural Science, Rheinsche Friedrich-Wilhelm-University of Bonn.
4. Bock, H.G., 1985. Randwertproblemmethoden zur Parameteridentifizierung in Systemen Nichlinearer Differentialgleichungen. Mathematical Report. Faculty of Mathematics and Natural Science, Rheinische Friedrich-Wilhelm-University of Bonn.
5. Buchner H., et al. Source analysis of median nerve and finger stimulated somatosensory evoked potentials: multichannel simultaneous recording of electric and magnetic fields combined with 3D-MR Tomography. Brain Topogr. 6 (1994) 299-310
6. Burton H., et al. Ipsilateral intracortical connections of physiologically defined cutaneous representations in area-3b and area-1 of macaque monkeys-Projections in the vicinity of the central sulcus. J. Comp. Neurol. 355 (1995) 508-538
7. Chavez M., Martinerie J., and Le Van Quyen M. Statistical assessment of nonlinear causality: application to epileptic EEG signals. J. Neurosci. Methods 124 (2003) 113-128
8. Cracco R.Q., et al. Subcortical evoked-potentials to median nerve-stimulation recorded from human scalp. Electroencephalogr. Clin. Neurophysiol. 40 (1976) 335
9. Curio G. Linking 600-Hz "spikelike" EEC/MEG wavelets ("sigma-bursts") to cellular substrates-Concepts and caveats. J. Clin. Neurophysiol. 17 (2000) 377-396
10. Curio G., et al. High-frequency activity (600 Hz) evoked in the human primary somatosensory cortex: a survey of electric and magnetic recordings. In: Pantev C., Elbert T., and Lütkenhöner B. (Eds). Oscillatory Event-Related Brain Dynamics (1994), Plenum, New York 205-218
11. Curio G., et al. Localization of evoked neuromagnetic 600-Hz activity in the cerebral somatosensory system. Electroencephalogr. Clin. Neurophysiol. 91 (1994) 483-487
12. David O., et al. Dynamic causal modeling of evoked responses in EEG and MEG. NeuroImage 30 (2006) 1255-1272
13. Eichler M. On the evaluation of information flow in multivariate systems by the directed transfer function. Biol. Cybern. 94 (2006) 469
14. Felleman D., et al. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1 (1991) 1-47
15. Freeman W.J. Mass Action in the Nervous System (1975), Academic Press
16. Fuchs M., et al. An improved boundary element method for realistic volume-conductor modeling. IEEE Trans. Biomed. Eng. 45 (1998) 980-997
17. German S., and German D. Stochastic relaxation, Gibbs distribution and the Bayesian restoration in images. IEEE Trans. Pattern Anal. Mach. Intell. 6 (1984) 721-741
18. Geweke J. Measurement of linear-dependence and feedback between multiple time-series. J. Am. Stat. Assoc. 77 (1982) 304-313
19. Gobbele R., et al. High-frequency (600 Hz) SEP activities originating in the subcortical and cortical human somatosensory system. Evoked Potentials- Electroencephalogr. Clin. Neurophysiol. 108 (1998) 182-189
20. Harrison L., Penny W.D., and Friston K. Multivariate autoregressive modeling of fMRI time series. NeuroImage 19 (2003) 1477-1491
21. Hashimoto I. High-frequency oscillations of somatosensory evoked potentials and fields. J. Clin. Neurophysiol. 17 (2000) 309-320
22. Haueisen J., et al. On the influence of volume currents and extended sources on neuromagnetic fields-A simulation study. Ann. Biomed. Eng. 23 (1995) 728-739
23. Haueisen J., et al. Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head. IEEE Trans. Biomed. Eng. 44 (1997) 727-735
24. Haueisen J., et al. The influence of lorazepam on somatosensory-evoked fast frequency (600 Hz) activity in MEG. Brain Res. 874 (2000) 10-14
25. Haueisen J., et al. Multiplicity in the high-frequency signals during the short-latency somatosensory evoked cortical activity in humans. Clin. Neurophysiol. 112 (2001) 1316-1325
26. Hesse W., Moeller E., Arnold M., and Schack B. The use of time-variant EEG Granger causality for inspecting directed interdependencies of neural assemblies. J. Neurosci. Methods 124 (2003) 27-44
27. Hinrichs H., Heinze H.J., and Schoenfeld M.A. Causal visual interactions as revealed by an information theoretic measure and fMRI. NeuroImage 31 (2006) 1051-1060
28. Ikeda H., et al. Synchronized spikes of thalamocortical axonal terminals and cortical neurons are detectable outside the pig brain with MEG. J. Neurophysiol. 87 (2002) 626-630
29. Ingber L. Very fast simulated re-annealing. Math. Comput. Model. 12 (1989) 967-973
30. Inui K., et al. Serial processing in the human somatosensory system. Cereb. Cortex 14 (2004) 851-857
31. Kaas J.H. Multiple representations of the body within the primary somatosensory cortex of primates. Physiol. Rev. 63 (1983) 206-231
32. Kaminski M., et al. Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance. Biol. Cybern. 85 (2001) 145-157
33. Kiebel S.J., et al. Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization. NeuroImage 30 (2006) 1273-1284
34. Kirkpatrick S., Gelatt C.D., and Vecchi M.P. Optimization by simulated annealing. Science 220 (1983) 671-680
35. Lopes da Silva F.H., et al. Model of brain rhythmic activity. The alpha-rhythm of the thalamus. Kybernetik 15 (1974) 27-37
36. Marquardt D. An algorithm for least squares estimation on nonlinear parameters. SIAM J. Appl. Math. 11 (1963) 431-441
37. Mauguiere F., et al. Activation of a distributed somatosensory cortical network in the human brain: a dipole modelling study of magnetic fields evoked by median nerve stimulation. 1. Location and activation timing of SEF sources. Evoked Potentials- Electroencephalogr. Clin. Neurophysiol. 104 (1997) 281-289
38. Mauguiere F., et al. Activation of a distributed somatosensory cortical network in the human brain: a dipole modelling study of magnetic fields evoked by median nerve stimulation. 2. Effects of stimulus rate, attention and stimulus detection. Evoked Potentials- Electroencephalogr. Clin. Neurophysiol. 104 (1997) 290-295
39. Miltner W.H.R., et al. Coherence of gamma-band EEG activity as a basis for associative learning. Nature 397 (1999) 434-436
40. Morecraft R.J., et al. Cytoarchitecture and cortical connections of the posterior cingulate and adjacent somatosensory fields in the rhesus monkey. J. Comp. Neurol. 469 (2004) 37-69
41. Nielson, H.B., 1999. Damping parameter in Marquardt's method. Technical report. Department of Mathematical Modeling, Technical University of Denmark.
42. Nuwer M.R., et al. IFCN recommended standards for brain-stem auditory-evoked potentials-report of an IFCN committee. Electroencephalogr. Clin. Neurophysiol. 91 (1994) 12-17
43. Ozaki I., et al. High frequency oscillations in early cortical somatosensory evoked potentials. Evoked Potentials- Electroencephalogr. Clin. Neurophysiol. 108 (1998) 536-542
44. Schnitzler A., et al. Normal and pathological oscillatory communication in the brain. Nat. Rev., Neurosci. 6 (2005) 285-296
45. Schreiber T. Measuring information transfer. Phys. Rev. Lett. 85 (2000) 461-464
46. Shimazu H., et al. High-frequency SEP components generated in the somatosensory cortex of the monkey. NeuroReport 11 (2000) 2821-2826
47. Staba R.J., et al. Dissociation of slow waves and fast oscillations above 200 Hz during GABA application in rat somatosensory cortex. J. Physiol. (London) 561 (2004) 205-214
48. Turney P. A theory of cross-validation error. J. Exp. Theor. Artif. Intell. 6 (1994) 361-391
49. Wood C.C., et al. Electrical sources in human somatosensory cortex-Identification by combined magnetic and potential recordings. Science 227 (1985) 1051-1053
50. Zilles K., et al. Mapping of human and macaque sensorimotor areas by integrating architectonic, transmitter receptor, MRI and PET data. J. Anat. 187 (1995) 515-537