메뉴 건너뛰기




Volumn 40, Issue 1, 2008, Pages 160-173

Improving MEG source localizations: An automated method for complete artifact removal based on independent component analysis

Author keywords

Approximate entropy; Artifact removal; Blind source separation; Independent component analysis; Magnetoencephalography; Source localization

Indexed keywords

ADULT; ARTICLE; ARTIFACT; ATTENUATION; AUDITORY STIMULATION; CLASSIFICATION; ENTROPY; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INFORMATION PROCESSING; MAGNETOENCEPHALOGRAPHY; MALE; NOISE REDUCTION; NORMAL HUMAN; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SOMATOSENSORY STIMULATION; VISUAL STIMULATION;

EID: 38949103021     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.11.022     Document Type: Article
Times cited : (76)

References (38)
  • 1
    • 1842455280 scopus 로고    scopus 로고
    • Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
    • Barbati G., Porcaro C., Zappasodi F., Rossini P.M., and Tecchio F. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals. Clin. Neurophysiol. 115 (2004) 1220-1232
    • (2004) Clin. Neurophysiol. , vol.115 , pp. 1220-1232
    • Barbati, G.1    Porcaro, C.2    Zappasodi, F.3    Rossini, P.M.4    Tecchio, F.5
  • 3
    • 0015502351 scopus 로고
    • Magnetoencephalography: detection of the brain's electrical activity with a superconducting magnetometer
    • Cohen D. Magnetoencephalography: detection of the brain's electrical activity with a superconducting magnetometer. Science 175 (1972) 664-666
    • (1972) Science , vol.175 , pp. 664-666
    • Cohen, D.1
  • 4
    • 0014427635 scopus 로고
    • Magnetoencephalography: evidence of magnetic fields produced by alpha rhythm currents
    • Cohen D. Magnetoencephalography: evidence of magnetic fields produced by alpha rhythm currents. Science 161 (1968) 784-786
    • (1968) Science , vol.161 , pp. 784-786
    • Cohen, D.1
  • 5
    • 0028416938 scopus 로고
    • Independent component analysis - a new concept?
    • Comon P. Independent component analysis - a new concept?. Signal Process. 36 (1994) 287-314
    • (1994) Signal Process. , vol.36 , pp. 287-314
    • Comon, P.1
  • 6
    • 0035663262 scopus 로고    scopus 로고
    • Magnetoencephalography - a non invasive brain imaging method with 1 ms time resolution
    • Del Gratta C., Pizzella V., Tecchio F., and Romani G.L. Magnetoencephalography - a non invasive brain imaging method with 1 ms time resolution. Rep. Prog. Phys. 64 (2001) 1759-1814
    • (2001) Rep. Prog. Phys. , vol.64 , pp. 1759-1814
    • Del Gratta, C.1    Pizzella, V.2    Tecchio, F.3    Romani, G.L.4
  • 10
    • 2342580768 scopus 로고    scopus 로고
    • Confidence limits of dipole source reconstruction results
    • Fuchs M., Wagner M., and Kastner J. Confidence limits of dipole source reconstruction results. Clin. Neurophysiol. 115 (2004) 1442-1451
    • (2004) Clin. Neurophysiol. , vol.115 , pp. 1442-1451
    • Fuchs, M.1    Wagner, M.2    Kastner, J.3
  • 12
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE T Neural Netw. 10 (1999) 626-634
    • (1999) IEEE T Neural Netw. , vol.10 , pp. 626-634
    • Hyvärinen, A.1
  • 13
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed point algorithm for independent component analysis
    • Hyvärinen A., and Oja E. A fast fixed point algorithm for independent component analysis. Neural Comput. 9 (1997) 283-292
    • (1997) Neural Comput. , vol.9 , pp. 283-292
    • Hyvärinen, A.1    Oja, E.2
  • 14
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: algorithms and applications
    • Hyvärinen A., and Oja E. Independent component analysis: algorithms and applications. Neural Netw. 13 (2000) 411-430
    • (2000) Neural Netw. , vol.13 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 15
    • 11744356506 scopus 로고
    • Quantum interference from a static vector potential in a field-free region
    • Jaklevic R.C., Lambe J.J., Silver A.H., and Mercereau J.E. Quantum interference from a static vector potential in a field-free region. Phys. Rev. Lett. 12 (1964) 274-275
    • (1964) Phys. Rev. Lett. , vol.12 , pp. 274-275
    • Jaklevic, R.C.1    Lambe, J.J.2    Silver, A.H.3    Mercereau, J.E.4
  • 16
    • 18744404816 scopus 로고    scopus 로고
    • Independent component analysis for biomedical signals
    • James C.J., and Hesse C.W. Independent component analysis for biomedical signals. Physiol. Meas. 26 (2005) R15-R39
    • (2005) Physiol. Meas. , vol.26
    • James, C.J.1    Hesse, C.W.2
  • 17
    • 16244400824 scopus 로고    scopus 로고
    • Neuromagnetic localization of rhythmic activity in the human brain: a comparison of three methods
    • Liljestrom M., Kujala J., Jensen O., and Salmelin R. Neuromagnetic localization of rhythmic activity in the human brain: a comparison of three methods. NeuroImage 25 (2005) 734-745
    • (2005) NeuroImage , vol.25 , pp. 734-745
    • Liljestrom, M.1    Kujala, J.2    Jensen, O.3    Salmelin, R.4
  • 18
    • 85078284647 scopus 로고    scopus 로고
    • Independent component analysis of electroencephalographic data
    • Touretzky D.S., Mozer M.C., and Hasselmo M.E. (Eds), MIT Press, Cambridge
    • Makeig S., Bell A.J., Jung T.P., and Sejnowski T. Independent component analysis of electroencephalographic data. In: Touretzky D.S., Mozer M.C., and Hasselmo M.E. (Eds). Advances in Neural Information Processing Systems 8 (1996), MIT Press, Cambridge 145-151
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 145-151
    • Makeig, S.1    Bell, A.J.2    Jung, T.P.3    Sejnowski, T.4
  • 20
    • 0032956548 scopus 로고    scopus 로고
    • The effect of artifact rejection by signal-space projection on source localization accuracy in MEG measurements
    • Nolte G., and Curio G. The effect of artifact rejection by signal-space projection on source localization accuracy in MEG measurements. IEEE Trans. Biomed. Eng. 46 (1999) 400-408
    • (1999) IEEE Trans. Biomed. Eng. , vol.46 , pp. 400-408
    • Nolte, G.1    Curio, G.2
  • 21
    • 33947726048 scopus 로고    scopus 로고
    • Low and high frequency evoked responses following pattern reversal stimuli: a MEG study supported by fMRI constraint
    • Perfetti B., Franciotti R., Della Penna S., Ferretti A., Caulo M., Romani G.L., and Onofrj M. Low and high frequency evoked responses following pattern reversal stimuli: a MEG study supported by fMRI constraint. NeuroImage 35 (2007) 1152-1167
    • (2007) NeuroImage , vol.35 , pp. 1152-1167
    • Perfetti, B.1    Franciotti, R.2    Della Penna, S.3    Ferretti, A.4    Caulo, M.5    Romani, G.L.6    Onofrj, M.7
  • 23
    • 0032829330 scopus 로고    scopus 로고
    • Event-related EEG/MEG synchronization and desynchronization: basic principles
    • Pfurtscheller G., and Lopes da Silva F.H. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol. 110 (1999) 1842-1857
    • (1999) Clin. Neurophysiol. , vol.110 , pp. 1842-1857
    • Pfurtscheller, G.1    Lopes da Silva, F.H.2
  • 25
    • 0026015905 scopus 로고
    • Approximate entropy as a measure of system complexity
    • Pincus S.M. Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. U. S. A. 88 (1991) 2297-2301
    • (1991) Proc. Natl. Acad. Sci. U. S. A. , vol.88 , pp. 2297-2301
    • Pincus, S.M.1
  • 26
    • 0028355806 scopus 로고
    • Physiological time series analysis: what does regularity quantify?
    • Pincus S.M., and Goldberger A.L. Physiological time series analysis: what does regularity quantify?. Am. J. Physiol. 266 (1994) H1643-H1656
    • (1994) Am. J. Physiol. , vol.266
    • Pincus, S.M.1    Goldberger, A.L.2
  • 27
    • 33748289525 scopus 로고    scopus 로고
    • Magnetoencephalographic artifact identification and automatic removal based on independent component analysis and categorization approaches
    • Rong F., and Contreras-Vidal J. Magnetoencephalographic artifact identification and automatic removal based on independent component analysis and categorization approaches. J. Neurosci. Methods 157 (2006) 337-354
    • (2006) J. Neurosci. Methods , vol.157 , pp. 337-354
    • Rong, F.1    Contreras-Vidal, J.2
  • 28
    • 0030983695 scopus 로고    scopus 로고
    • Identification and elimination of cardiac contribution in single-trial magnetoencephalographic signals
    • Samonas M., Petrou M., and Ioannides A.A. Identification and elimination of cardiac contribution in single-trial magnetoencephalographic signals. IEEE Trans. Biomed. Eng. 44 (1997) 386-393
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , pp. 386-393
    • Samonas, M.1    Petrou, M.2    Ioannides, A.A.3
  • 29
    • 0026335501 scopus 로고
    • Use of prior knowledge in brain electromagnetic source analysis
    • Scherg M., and Berg P. Use of prior knowledge in brain electromagnetic source analysis. Brain Topogr. 4 (1991) 143-150
    • (1991) Brain Topogr. , vol.4 , pp. 143-150
    • Scherg, M.1    Berg, P.2
  • 31
    • 3343026399 scopus 로고    scopus 로고
    • Suppression of interference and artifacts by the Signal Space Separation Method
    • Taulu S., Kajola M., and Simola J. Suppression of interference and artifacts by the Signal Space Separation Method. Brain Topogr. 16 (2004) 269-275
    • (2004) Brain Topogr. , vol.16 , pp. 269-275
    • Taulu, S.1    Kajola, M.2    Simola, J.3
  • 32
    • 0031105991 scopus 로고    scopus 로고
    • Signal-space projection method for separating MEG or EEG into components
    • Uusitalo M.A., and Ilmoniemi R.J. Signal-space projection method for separating MEG or EEG into components. Med. Biol. Eng. Comput. 35 (1997) 135-140
    • (1997) Med. Biol. Eng. Comput. , vol.35 , pp. 135-140
    • Uusitalo, M.A.1    Ilmoniemi, R.J.2
  • 33
    • 84898962644 scopus 로고    scopus 로고
    • Independent component analysis for identification of artifacts in magnetoencephalographic recordings
    • Jordan M.I., Kearns M.J., and Solla S.A. (Eds), MIT Press, Cambridge
    • Vigário R., Jousmäki V., Hämäläinen M., Hari R., and Oja E. Independent component analysis for identification of artifacts in magnetoencephalographic recordings. In: Jordan M.I., Kearns M.J., and Solla S.A. (Eds). Advances in Neural Information Processing Systems, vol. 10 (1998), MIT Press, Cambridge 229-235
    • (1998) Advances in Neural Information Processing Systems, vol. 10 , pp. 229-235
    • Vigário, R.1    Jousmäki, V.2    Hämäläinen, M.3    Hari, R.4    Oja, E.5
  • 34
    • 0035710286 scopus 로고    scopus 로고
    • Signal processing in magnetoencephalography
    • Vrba J., and Robinson S.E. Signal processing in magnetoencephalography. Methods 25 (2001) 249-271
    • (2001) Methods , vol.25 , pp. 249-271
    • Vrba, J.1    Robinson, S.E.2
  • 35
    • 3343003793 scopus 로고    scopus 로고
    • Evaluation of sLORETA in the presence of noise and multiple sources
    • Wagner M., Fuchs M., and Kastner J. Evaluation of sLORETA in the presence of noise and multiple sources. Brain Topogr. 16 (2004) 277-280
    • (2004) Brain Topogr. , vol.16 , pp. 277-280
    • Wagner, M.1    Fuchs, M.2    Kastner, J.3
  • 36
    • 0026318141 scopus 로고
    • Advantages and limitations of magnetic source imaging
    • Williamson S.J., Lu Z.L., Karron D., and Kaufman L. Advantages and limitations of magnetic source imaging. Brain Topogr. 4 (1991) 169-180
    • (1991) Brain Topogr. , vol.4 , pp. 169-180
    • Williamson, S.J.1    Lu, Z.L.2    Karron, D.3    Kaufman, L.4
  • 38
    • 0033982156 scopus 로고    scopus 로고
    • Artifact reduction in magnetoneurography based on time-delayed second-order correlations
    • Ziehe A., Nolte G., Sander T., Muller K.R., and Curio G. Artifact reduction in magnetoneurography based on time-delayed second-order correlations. IEEE Trans. Biomed. Eng. 47 (2000) 75-87
    • (2000) IEEE Trans. Biomed. Eng. , vol.47 , pp. 75-87
    • Ziehe, A.1    Nolte, G.2    Sander, T.3    Muller, K.R.4    Curio, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.