Comparison between human and artificial neural network detection of Laplacian-derived electroencephalographic activity related to unilateral voluntary movements

Computers and Biomedical Research

Volumn 33, Issue 1, 2000, Pages 59-74

  Babiloni, Fabio ^a,f   Carducci, Filippo ^a   Cerutti, Sergio ^b   Liberati, Diego ^c   Rossini, Paolo M ^d,e   Urbano, Antonio ^a   Babiloni, Claudio ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c CNR   (Italy)

^d FATEBENEFRATELLI HOSPITAL   (Italy)

^e IRCCS ISTITUTO CENTRO SAN GIOVANNI DI DIO FATEBENEFRATELLI   (Italy)

^f AALTO UNIVERSITY   (Finland)

Author keywords

Artificial neural network; Movement related potentials; Primary sensorimotor cortex; Single trial analysis; Surface Laplacian of the potential

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ELECTROMYOGRAM; FINGER; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; NORMAL HUMAN; PRIORITY JOURNAL; SENSORIMOTOR CORTEX; VOLUNTARY MOVEMENT;

EID: 0034059883     PISSN: 00104809     EISSN: None     Source Type: Journal    
DOI: 10.1006/cbmr.1999.1529     Document Type: Article

References (57)

1. Morgan N. H., Gevins A. Wigner distribution of event-related brain potentials. IEEE Trans. Biomed. Eng. BME. 33:1986;66.
2. Woody C. Characterization of an adaptive filter for the analysis of variable components. Med. Biol. Eng. 5:1967;539.
3. Cerutti S., Chiarenza G., Liberati D., Mascellani P., Pavesi G. A parametric method of identification of the single trial event-related potentials in the brain. IEEE Trans. Biomed. Eng. BME. 35:1988;701.
4. Liberati D., Bedarida L., Brandazza P., Cerutti S. A model for the cortico-cortical neural interaction in multisensory evoked potentials. IEEE Trans. Biomed. Eng. BME. 38:1991;879.
5. Gevins A., Morgan N. H. Classifier-directed signal processing in brain research. IEEE Trans. Biomed. Eng. BME. 33:1986;1054.
6. Gevins A., Morgan N. H. Application of neural network signal processing in brain research. IEEE ASSP Trans. 36:1988;1152.
7. De Roach J. N. Neural networks: an artificial intelligence approach to the analysis of clinical data Australas. Phys. Eng. Sci. Med. 12:1989;100.
8. Liberati, D.A neural network for single sweep brain evoked potential detection and recognition. In "Proceedings IV International Symposium on Biomedical Engineering," pp. 143-144, Peniscola, Spain, (1991).
9. Foley D. Considerations of sample and feature size. IEEE Trans. Inform. Theory. 18:1971;618.
10. Eberhart, R. C., Dobbins, R. E., and Webber, W. R. S.CASENET: A neural network tool for EEG waveform classification. In "Proceedings, IEEE Symposium Computer-Based Medical Systems," pp. 60-68, 1989.
11. Gevins A., Bressler S. L., Morgan N. H., Cutillo B., White R. M., Greer D. S., Illes J. Event-related covariances during a bimanual visuomotor task. I. Methods and analysis of stimulus-and response-locked data. Electroenceph. Clin. Neurophysiol. 74:1989;58.
12. Gevins A., Cutillo B., Bressler S. L., Morgan N. H., White R. M., Illes J., Greer D. S. Event-related covariances during a bimanual visuomotor task. II. Preparation and feedback. Electroenceph. Clin. Neurophysiol. 74:1989;147.
13. Gevins A., Brickett P., Costales B., Le J., Reutter B. Beyond topographic mapping: Towards functional-anatomical imaging with 124-channel EEG and 3-D MRIs. Brain Topogr. 3:1990;53.
14. Gevins, A.Distributed neuroelectric patterns of human neocortex during simple cognitive tasks. In "Progress in Brain Research" (Uylings B. M., Van Eden C. G., and De Bruin J. P. C. Eds.), pp. 337-354, 1990.
15. Aberaytne U., Kinouchi R., Oki Y., Okada H., Shichijo J., Matsumoto K. Artificial neural networks for source localization in the human brain. Brain Topogr. 4:1991;3.
16. Pfurtscheller G., Flotzinger D., Mohl W., Peltoranta M. Prediction of the side of hand movements from single-trial multi-channel EEG data using neural networks. Electroenceph. Clin. Neurophysiol. 82:1992;313.
17. Nunez P. Electric Fields of the Brain. 1981;Oxford Univ. Press, New York.
18. Cheney P. D., Fetz E. E. Functional classes of primate cortico-motoneuronal cells and their relation to active force. J. Neurophysiol. 44:1980;773.
19. Voughan H. G., Arezzo J. Intracortical sources and surface topography of the motor potential and somatosensory evoked potential in the monkey. Prog. Brain Res. 54:1980;77.
20. Neshige R., Luders H., Shibasaki H. Recording of movement-related potentials from scalp and cortex in man. Brain. 111:1988;719.
21. Shibasaki H., Sadato N., Lyshkow H., Yonekura Y., Honda M., Nagamine T. Both primary motor cortex and supplementary motor area play an important role in complex finger movement. Brain. 116:1993;1387.
22. Kim S., Ashe J., Georgopoulos A., Merkle H., Ellermann J. M., Menon R. S., Ogawa S., Ugurbil K. Functional imaging of human motor cortex at high magnetic field. J. Neurophysiol. 69:1993;297.
23. Boecker H., Kleinschmidt A., Requardt M., Hanicke W., Merboldt K. D., Frahm J. Functional cooperativity of human cortical motor areas during self-paced simple finger movements: A high-resolution MRI study. Brain. 117:1994;1231.
24. Jahanshahi M., Jenkins I. H., Brown R. G., Mardsen C. D., Passingham R., Brooks D. Self-initiated versus externally triggered movements: An investigation using measurement of regional cerebral blood flow with PET and movement-related potentials in normal and Parkinson's disease subjects. Brain. 118:1995;913.
25. Ikeda A., Luders H. O., Burgess R., Shibasaki H. Movement-related potentials recorded from supplementary motor area and primary motor area. Brain. 115:1992;1017.
26. Rektor I., Feve A., Buser P., Bathien N., Lamarche M. Intracerebral recording of movement-related readiness potentials: An exploration in epileptic patients. Electroenceph. Clin. Neurophysiol. 90:1994;273.
27. Kristeva R., Cheyne D., Deecke L. Neuromagnetic fields accompanying unilateral and bilateral voluntary movements: Topography and analysis of cortical sources. Electroenceph. Clin. Neurophysiol. 81:1991;284.
28. Perrin F., Pernier J., Bertrand O., Echallier J. F. Spherical spline for potential and current density mapping. Electroenceph. Clin. Neurophysiol. 72:1989;184.
29. Perrin F., Pernier J., Bertrand O., Echallier J. F. Corrigenda on spherical spline for potential and current density mapping. Electroenceph. Clin. Neurophysiol. 76:1990;565.
30. Babiloni F., Babiloni C., Carducci F., Fattorini L., Onorati P., Urbano A. Performances of surface Laplacian estimators: A study of simulated and real scalp potential distributions. Brain Topog. 8:1995;35.
31. Lippmann R. P. Pattern classification using neural networks. IEEE Comm. Mag. 27:1989;47.
32. Zar H. Biostatistical Analysis. 1984;Prentice Hall, New York. p. 369-405.
33. Libet B., Wright E. W., Gleason C. A. Readiness potentials preceding unrestricted spontaneous vs. pre-planned voluntary acts. Electroenceph. Clin. Neurophysiol. 54:1982;322.
34. Keller I., Heckhausen H. Readiness potentials preceding spontaneous motor acts: Voluntary vs. involuntary control. Electroenceph. Clin. Neurophysiol. 76:1990;351.
35. Gevins A., Stone R., Scott R. Differentiating the effects of three benzodiazepines on non-rem sleep EEG spectra: A neural-network pattern classification analysis. Neuropsychobiol. 19:1988;108.
36. Bankman I., Sigillito V., Wise R., Smith P. Feature-based detection of the K-complex wave in human electroencephalogram using neural networks. IEEE Trans. Biomed. Eng. 39:1992;1305.
37. Wu F., Slater J., Honig L., Ramsay E. A neural network design for event-related potential diagnosis. Comput. Biol. Med. 23:1993;251-264.
38. Anderer P., Saletu B., Kloppel B., Semlitsch H. V., Werner H. Discrimination between demented patients and normals based on topographic EEG slow wave activity: Comparison between z statistics, discriminant analysis and artificial neural network classifiers. Electroenceph. Clin. Neurophysiol. 91:1994;108.
39. Kloppel B. Neural networks as a new method for electroencephalographic analysis. A basic introduction. Neuropsychobiol. 29:1994;33.
40. Gevins A., Morgan N., Bressler S., Doyle J., Cutillo B. Improved event-related potential estimation using statistical pattern classification. Electroenceph. Clin. Neurophysiol. 64:1986b;177.
41. Keirn Z. A., Aunon J. A new mode of communication between man and his surroundings. IEEE Trans. Biomed. Eng. 37:1990;1209.
42. Wolpaw J. R., McFarland D. J. Multichannel EEG-based brain-computer communication. Electroenceph. Clin. Neurophysiol. 90:1994;444.
43. Peltoranta M., Pfurtscheller G. Neural network based classification of non-averaged event-related EEG responses. Med. Biol. Eng. Comput. 32:1994;189.
44. Anderson C. W., Devulapalli S., Stolz E. A. Determining mental states from EEG signals using parallel implementation of neural networks. Sci. Prog. 4:1995;171.
45. Anderson C. W. Effects of variations in neural network topology and output averaging on the discrimination of mental task from spontaneous electroencephalogram. J. Intelligent Systems. 7:1997;165.
46. Hiraiwa A., Shimohara K. EEG topography recognition by neural network. IEEE Eng. Med. Biol. Mag. 9:1990;39.
47. Peltoranta M., Pfurtscheller G. Neural network based classification of event-related Berger waves. Rother M., Zwiener U. Quantitative Electroencephalographic Analysis: Clinical Utility and New Methods. 1992;104-113 Universitas-Verlag, Jena.
48. Flotzinger D., Pfurtscheller G., Neuper C., Berger J., Mohl W. Classification of non-averaged EEG data by learning vector quantisation and the influence of signal preprocessing. Med. Biol. Eng. Comput. 32:1994;571.
49. Pregenzer, M., Flotzinger, D., and Pfurtscheller, G.Distinction sensitive learning vector quantizer - A noise-insensitive classification method. In "Proceedings of the ICNN-94," pp. 2890-2894, Orlando IEEE, 1994.
50. Kalcher J., Flotzinger D., Neuper C., Golly S., Pfurtscheller G. Graz brain-computer interface II. Towards communication between humans and computers based on online classification of three different EEG patterns. Med. Biol. Eng. Comput. 34:1994;382.
51. Jones R. D., Donaldson I. M., Parkin P. J. Impairment and recovery of ipsilateral sensory-motor function following unilateral cerebral infarction. Brain. 112:1989;113.
52. Wiesendanger M., Rouiller E., Kazelnnikov O., Perrig S. Is the SMA a bilaterally organized system? Adv. Neurol. 70:1996;71.
53. Heap M., Wyke M. Learning of a unimanual motor skill by patients with brain lesions: an experimental study. Cortex. 8:1972;1.
54. Haaland K., Delaney H. D. Motor deficits after left or right hemisphere damage due to stroke or tumor. Neuropsychologia. 19:1981;17.
55. Haaland K., Harrington D. Hemispherical control of the initial and corrective components of aiming movements. Neuropsychologia. 27:1989;961.
56. Chollet F., Di Piero V., Wise R. J. S., Brooks D. J., Dolan, Frackowiak R. S. J. The functional anatomy of motor recovery after stroke: A study with positron emission tomography. Ann Neurol. 23:1991;63.
57. Weiller C., Chollet F., Friston K. J., Wise R. J. S., Frackowiak R. S. J. Functional reaorganization of the brain in recovery from striatocapsular infarction in man. Ann. Neurol. 31:1992;463.