Spatial time series modeling offMRI and EEG data

• Project/Area Number: 15500193
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Statistical science
• Research Institution: Institute of Statistical Mathematics
• Principal Investigator: OZAKI Tohru ISM, Dept.of Prediction and Control, Professor, 予測制御研究系, 教授 (00000208)
• Co-Investigator(Kenkyū-buntansha): SADATOU Norihiro Okazaki Cooperative Research Institute of Physiology, Professor, 生理学研究所, 教授 (00273003) ; ISHIGURO Makio ISM, Dept.of Prediction and Control, Professor, 予測制御研究系, 教授 (10000217) ; TAKIZAWA Yumi ISM, Dept.of Prediction and Control, Professor, 予測制御研究系, 助教授 (90280528) ; YAMASHITA Okito ISM, Dept.of Prediction and Control, Researcher, 予測制御研究系, 非常勤研究員
• Project Period (FY): 2003 – 2004
• Project Status: Completed (Fiscal Year 2004)
• Budget Amount: ¥3,600,000 (Direct Cost: ¥3,600,000); Fiscal Year 2004: ¥1,700,000 (Direct Cost: ¥1,700,000); Fiscal Year 2003: ¥1,900,000 (Direct Cost: ¥1,900,000)
• Keywords: fMRI modeling / spatial time series model / hemodyanmics / innovation approach / EEG modeling / inverse problem / dynamic inverse problem / space-time Kalman filter

Research Abstract

1) Dynamic modeling of fMRI data and the connectivity analysis
We introduced a spatial time series model called NN-ARX model (Nearest Neighbor AutoRegressive model with eXogenous variables), for fMRI data.
Several advantage of the present model over SPM has been presented. Application of the method to the connectivity study was also shown using the fMRI experiment data of visual stimulus.
2) Dynamic EEG inverse solution
EEG inverse problem was reformulated as a state space modeling of multi-channel EEG time series data. Here the state space is a dynamic primary current of (huge dimensional) voxels. A computationally efficient spatial temporal Kalman filtering algorithm was presented. An inverse solution was introduced as a filtered estimate of the state obtained by the proposed spatial Kalman filtering algorithm.

Research Products

• [Journal Article] A solution to the dynamical inverse problem of EEG generation using spatio-temporal Kalman filtering (2004)
  • Author(s): Galka, A., Yamashita, O., Ozaki, T., Biscay, R., Valdes-Sosa, P.
  • Journal Title: Neuroimage 23 Pages: 435-453
  • Description: 「研究成果報告書概要(和文)」より
• [Journal Article] GARCH modeling of covariance in dynamical estimation of inverse solutions (2004)
  • Author(s): Galka, A., Yamashita, O., Ozaki, T.
  • Journal Title: Physics Letters A 333 Pages: 261-268
  • Description: 「研究成果報告書概要(和文)」より
• [Journal Article] fMRI activation maps based on the NN-ARX model (2004)
  • Author(s): Riera, J., Yamashita, O., Kawashima, R., Sadato, N., Okada, T., Ozaki, T.
  • Journal Title: Neuroimage 23 Pages: 680-697
  • Description: 「研究成果報告書概要(和文)」より
• [Journal Article] Recursive penalized least squares solution for dynamic inverse problems of EEG generation (2004)
  • Author(s): Yamashita, O., Galka, A, Ozaki, T., Biscay, R., Valdes-Sosa, P.
  • Journal Title: Human Brain Mapping 21 Pages: 221-235
  • Description: 「研究成果報告書概要(和文)」より
• [Journal Article] A state-space model of the hemodynamic approach : nonlinear filtering of BOLD signals (2004)
  • Author(s): Riera, J., Watanabe, J., Iwata, K., Miura, N., Aubert, E.Ozaki, T., Kawashima, R.
  • Journal Title: Neuroimage 21 Pages: 547-567
  • Description: 「研究成果報告書概要(和文)」より
• [Journal Article] A solution to the dynamical inverse problem of EEG generation using spatio-temporal Kalman filtering (2004)
  • Author(s): Galka.A., Yamashita.O., Ozaki.T., Biscay.R., Valdes-Sosa, P
  • Journal Title: Neuroimage vol.23 Pages: 435-453
  • Description: 「研究成果報告書概要(欧文)」より
• [Journal Article] GARCH modeling of covariance in dynamical estimation of inverse solutions (2004)
  • Author(s): Galka.A., Yamashita.O., Ozaki, T
  • Journal Title: Physics Letters A 333 Pages: 261-268
  • Description: 「研究成果報告書概要(欧文)」より
• [Journal Article] fMRI activation maps based on the NN-ARX model (2004)
  • Author(s): Riera, J., Yamashita, O., Kawashima, R., Sadato, N., Okada, T., Ozaki, T.
  • Journal Title: Neuroimage vol.23 Pages: 680-697
  • Description: 「研究成果報告書概要(欧文)」より
• [Journal Article] Recursive penalized least squares solution for dynamic inverse problems of EEG generation (2004)
  • Author(s): Yamashita, O., Galka, A, Ozaki, T., Biscay, R., Valdes-Sosa, P.
  • Journal Title: Human Brain Mapping vol.21 Pages: 221-235
  • Description: 「研究成果報告書概要(欧文)」より
• [Journal Article] A state-space model of the hemodynamic approach : nonlinear filtering of BOLD signals (2004)
  • Author(s): Riera.J., Watanabe.J., Iwata.K.Miura.N, Aubert.E., Ozaki.T., Kawashima.R.
  • Journal Title: Neuroimage vol.21 Pages: 547-567
  • Description: 「研究成果報告書概要(欧文)」より
• [Journal Article] A solution to the dynamical inverse problem of EEG generation using spatio-temporal Kalman filtering (2004)
  • Author(s): Galka, a., Yamashita, O., Ozaki, T., Biscay, R., Valdes-Sosa, P
  • Journal Title: Neuroimage 23 Pages: 435-453
• [Journal Article] GARCH modeling of covariance in dynamical estimation of inverse solutions (2004)
  • Author(s): Galka, A., Yamashita, O., Ozaki, T
  • Journal Title: Physics Letters A 333 Pages: 261-268
• [Journal Article] Recursive penalized least squares solution for dynamic inverse problems of EEG generation (2004)
  • Author(s): Yamashita, O., Galka, A., Ozaki, T., Biscay, R., Valdes-Sosa, P.
  • Journal Title: Human Brain Mapping 21 Pages: 221-235
• [Journal Article] A state-space model of the hemodynamic approach : nonlinear filtering of BOLD signals (2004)
  • Author(s): Riera, J., Watanabe, J., Iwata, K., Miura, N., Aubert, E., Ozaki, T., Kawashima, R.
  • Journal Title: Neuroimage 21 Pages: 547-567
• [Journal Article] Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time series models
  • Author(s): Yamashita, O., Sadato, N., Okada, T., Ozaki, T.
  • Journal Title: Neuroimage In press
  • Description: 「研究成果報告書概要(和文)」より
• [Journal Article] Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time series models
  • Author(s): Yamashita, O., Sadato, N., Okada, T.Ozaki, T.
  • Journal Title: Neuroimage (in press)
  • Description: 「研究成果報告書概要(欧文)」より
• [Journal Article] Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time series models
  • Author(s): Yamashita, O., Sadato, N., Okada, T., Ozaki, T.
  • Journal Title: Neuroimage (in press)
• [Publications] Okito Yamashita, Andreas Galka, Tohru Ozaki, Rolando Biscay, Pedro A.Valdes-Sosa: "Recursive penalized least squares solution for the dynamical inverse problem of EEG generation."Human Brain Mapping. (in press). (2004)
• [Publications] A.Galka, O.Yamashita, T.Ozaki, R.Biscay, P.A.Valdes-Sosa: "A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering"NeuroImage. (in press). (2004)
• [Publications] J.Riera, J.Watanabe, K.Iwata, N.Miura, E.Aubert, T.Ozaki, R.Kawashima: "A state-space model of the hemodynamic approach : nonlinear filtering of BOLD signals"NeuroImage. (in press). (2004)