메뉴 건너뛰기




Volumn 26, Issue 3, 2005, Pages 870-884

Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors

Author keywords

p norm; Bayesian inference; MCMC; MEG inverse; Slice sampling

Indexed keywords

ARTICLE; BAYES THEOREM; CALCULATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GEOMETRY; MAGNETIC FIELD; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL;

EID: 20444449810     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.02.046     Document Type: Article
Times cited : (59)

References (40)
  • 1
    • 1942424971 scopus 로고    scopus 로고
    • Geometrical interpretation of fMRI-guided MEG/EEG inverse estimates
    • S.P. Ahlfors, and G.V. Simpson Geometrical interpretation of fMRI-guided MEG/EEG inverse estimates NeuroImage 22 2004 323 332
    • (2004) NeuroImage , vol.22 , pp. 323-332
    • Ahlfors, S.P.1    Simpson, G.V.2
  • 2
    • 0036331157 scopus 로고    scopus 로고
    • Cortical activation associated with passive movements of the human index finger: An MEG study
    • F. Alary, C. Simões, V. Jousmäki, N. Forss, and R. Hari Cortical activation associated with passive movements of the human index finger: an MEG study NeuroImage 15 2002 691 696
    • (2002) NeuroImage , vol.15 , pp. 691-696
    • Alary, F.1    Simões, C.2    Jousmäki, V.3    Forss, N.4    Hari, R.5
  • 3
    • 0030967177 scopus 로고    scopus 로고
    • A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem
    • S. Baillet, and L. Garnero A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem IEEE Trans. Biomed. 1997 44
    • (1997) IEEE Trans. Biomed. , pp. 44
    • Baillet, S.1    Garnero, L.2
  • 8
    • 0027230029 scopus 로고
    • Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach
    • A.M. Dale, and M.I. Sereno Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach J. Cogn. Neurosci. 5 1993 162 176
    • (1993) J. Cogn. Neurosci. , vol.5 , pp. 162-176
    • Dale, A.M.1    Sereno, M.I.2
  • 9
    • 0032769093 scopus 로고    scopus 로고
    • Cortical surface-based analysis I: Segmentation and surface reconstruction
    • A.M. Dale, B. Fischl, and M.I. Sereno Cortical surface-based analysis I: segmentation and surface reconstruction NeuroImage 9 1999 179 194
    • (1999) NeuroImage , vol.9 , pp. 179-194
    • Dale, A.M.1    Fischl, B.2    Sereno, M.I.3
  • 10
    • 0033711992 scopus 로고    scopus 로고
    • Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity
    • A.M. Dale, A.K. Liu, B.R. Fischl, R.L. Buckner, J.W. Belliveau, J.D. Lewine, and E. Halgren Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity Neuron 26 2000 55 67
    • (2000) Neuron , vol.26 , pp. 55-67
    • Dale, A.M.1    Liu, A.K.2    Fischl, B.R.3    Buckner, R.L.4    Belliveau, J.W.5    Lewine, J.D.6    Halgren, E.7
  • 11
    • 0032799993 scopus 로고    scopus 로고
    • Cortical surface-based analysis II: Inflation, flattening, and a surface-based coordinate system
    • B. Fischl, M.I. Sereno, and A.M. Dale Cortical surface-based analysis II: inflation, flattening, and a surface-based coordinate system NeuroImage 9 1999 195 207
    • (1999) NeuroImage , vol.9 , pp. 195-207
    • Fischl, B.1    Sereno, M.I.2    Dale, A.M.3
  • 12
    • 0002799511 scopus 로고    scopus 로고
    • Model choice: A minimum posterior predictive loss approach
    • A.E. Gelfand, and S.K. Ghosh Model choice: a minimum posterior predictive loss approach Biometrika 85 1998 1 11
    • (1998) Biometrika , vol.85 , pp. 1-11
    • Gelfand, A.E.1    Ghosh, S.K.2
  • 15
    • 1842452806 scopus 로고    scopus 로고
    • Keep it simple: A case for using classical minimum norm estimation in the analysis of EEG and MEG data
    • O. Hauk Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data NeuroImage 21 2004 1612 1621
    • (2004) NeuroImage , vol.21 , pp. 1612-1621
    • Hauk, O.1
  • 17
    • 0024615692 scopus 로고
    • Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
    • M.S. Hämäläinen, and J. Sarvas Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data IEEE Trans. Biomed. Eng. 36 1989 165 171
    • (1989) IEEE Trans. Biomed. Eng. , vol.36 , pp. 165-171
    • Hämäläinen, M.S.1    Sarvas, J.2
  • 18
    • 26244462082 scopus 로고
    • Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain
    • M.S. Hämäläinen, R. Hari, R.J. Ilmoniemi, J. Knuutila, and O.V. Lounasmaa Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain Rev. Mod. 1993 65
    • (1993) Rev. Mod. , pp. 65
    • Hämäläinen, M.S.1    Hari, R.2    Ilmoniemi, R.J.3    Knuutila, J.4    Lounasmaa, O.V.5
  • 20
    • 1542346254 scopus 로고    scopus 로고
    • Spatial relationship between neuronal activity and BOLD functional MRI
    • D.-S. Kim, I. Ronen, C. Olman, S.-G. Kim, K. Ugurbil, and L.J. Toth Spatial relationship between neuronal activity and BOLD functional MRI NeuroImage 21 2004 876 885
    • (2004) NeuroImage , vol.21 , pp. 876-885
    • Kim, D.-S.1    Ronen, I.2    Olman, C.3    Kim, S.-G.4    Ugurbil, K.5    Toth, L.J.6
  • 21
    • 0037304772 scopus 로고    scopus 로고
    • Reconstruction of extended cortical sources for EEG and MEG based on a Monte-Carlo-Markov-chain estimator
    • W.E. Kincses, C. Braun, S. Kaiser, W. Grodd, H. Ackermann, and K. Mathiak Reconstruction of extended cortical sources for EEG and MEG based on a Monte-Carlo-Markov-chain estimator Hum. Brain Mapp. 18 2003 100 110
    • (2003) Hum. Brain Mapp. , vol.18 , pp. 100-110
    • Kincses, W.E.1    Braun, C.2    Kaiser, S.3    Grodd, W.4    Ackermann, H.5    Mathiak, K.6
  • 22
    • 0036234556 scopus 로고    scopus 로고
    • Monte Carlo simulation studies of EEG and MEG localization accuracy
    • A.K. Liu, A.M. Dale, and J.W. Belliveau Monte Carlo simulation studies of EEG and MEG localization accuracy Hum. Brain Mapp. 16 2002 47 62
    • (2002) Hum. Brain Mapp. , vol.16 , pp. 47-62
    • Liu, A.K.1    Dale, A.M.2    Belliveau, J.W.3
  • 23
    • 0035849892 scopus 로고    scopus 로고
    • Neurophysiological investigation of the basis of the fMRI signal
    • N.K. Logothetis, J. Pauls, M. Augath, T. Trinath, and A. Oeltermann Neurophysiological investigation of the basis of the fMRI signal Nature 412 2001 150 157
    • (2001) Nature , vol.412 , pp. 150-157
    • Logothetis, N.K.1    Pauls, J.2    Augath, M.3    Trinath, T.4    Oeltermann, A.5
  • 24
    • 0029033726 scopus 로고
    • Selective minimum-norm solution of the biomagnetic inverse problem
    • K. Matsuura, and Y. Okabe Selective minimum-norm solution of the biomagnetic inverse problem IEEE Trans. Biomed. Eng. 42 1995 608 615
    • (1995) IEEE Trans. Biomed. Eng. , vol.42 , pp. 608-615
    • Matsuura, K.1    Okabe, Y.2
  • 26
    • 0026882264 scopus 로고
    • Multiple dipole modeling and localization from spatio-temporal MEG data
    • J.C. Mosher, P.S. Lewis, and R.M. Leahy Multiple dipole modeling and localization from spatio-temporal MEG data IEEE Trans. Biomed. Eng. 39 1992 541 557
    • (1992) IEEE Trans. Biomed. Eng. , vol.39 , pp. 541-557
    • Mosher, J.C.1    Lewis, P.S.2    Leahy, R.M.3
  • 27
    • 1642370803 scopus 로고    scopus 로고
    • Slice sampling
    • R.M. Neal Slice sampling Ann. Stat. 31 2003 705 767
    • (2003) Ann. Stat. , vol.31 , pp. 705-767
    • Neal, R.M.1
  • 30
    • 0036454342 scopus 로고    scopus 로고
    • Standardized low resolution brain electromagnetic tomography (sLORETA): Technical details
    • R.D. Pascual-Marqui Standardized low resolution brain electromagnetic tomography (sLORETA): technical details Methods Find. Exp. Clin. Pharmacol. 24 2002 5 12
    • (2002) Methods Find. Exp. Clin. Pharmacol. , vol.24 , pp. 5-12
    • Pascual-Marqui, R.D.1
  • 32
    • 0036338394 scopus 로고    scopus 로고
    • Anatomically informed basis functions for EEG source localization: Combining functional and anatomical constraints
    • C. Phillips, M.D. Rugg, and K.J. Friston Anatomically informed basis functions for EEG source localization: combining functional and anatomical constraints NeuroImage 16 2002 678 695
    • (2002) NeuroImage , vol.16 , pp. 678-695
    • Phillips, C.1    Rugg, M.D.2    Friston, K.J.3
  • 35
    • 0023158840 scopus 로고
    • Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem
    • J. Sarvas Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem Phys. Med. Biol. 32 1987 11 22
    • (1987) Phys. Med. Biol. , vol.32 , pp. 11-22
    • Sarvas, J.1
  • 36
    • 0032901789 scopus 로고    scopus 로고
    • Bayesian inference applied to the electromagnetic inverse problem
    • D.M. Schmidt, J.S. George, and C.C. Wood Bayesian inference applied to the electromagnetic inverse problem Hum. Brain Mapp. 7 1999 195 212
    • (1999) Hum. Brain Mapp. , vol.7 , pp. 195-212
    • Schmidt, D.M.1    George, J.S.2    Wood, C.C.3
  • 37
    • 1942456813 scopus 로고    scopus 로고
    • An integrative MEG-fMRI study of the primary somatosensory cortex using cross-modal correspondence analysis
    • M. Schulz, W. Chau, S.J. Graham, A.R. McIntosh, B. Ross, R. Ishii, and C. Pantev An integrative MEG-fMRI study of the primary somatosensory cortex using cross-modal correspondence analysis NeuroImage 22 2004 120 133
    • (2004) NeuroImage , vol.22 , pp. 120-133
    • Schulz, M.1    Chau, W.2    Graham, S.J.3    McIntosh, A.R.4    Ross, B.5    Ishii, R.6    Pantev, C.7
  • 38
    • 0033179126 scopus 로고    scopus 로고
    • Visualization of magnetoencephalographic data using minimum current estimates
    • K. Uutela, M. Hämäläinen, and E. Somersalo Visualization of magnetoencephalographic data using minimum current estimates NeuroImage 10 1999 173 180
    • (1999) NeuroImage , vol.10 , pp. 173-180
    • Uutela, K.1    Hämäläinen, M.2    Somersalo, E.3
  • 39
    • 0035710286 scopus 로고    scopus 로고
    • Signal processing in magnetoencephalography
    • J. Vrba, and S.E. Robinson Signal processing in magnetoencephalography Methods 25 2001 249 271
    • (2001) Methods , vol.25 , pp. 249-271
    • Vrba, J.1    Robinson, S.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.