### Abstract

We have developed a method that incorporates the time-frequency characteristics of neural sources into magnetoencephalographic (MEG) source estimation. This method calculates a time-frequency matrix in which diagonal and off-diagonal terms are the auto- and cross-time-frequency distributions of multi-channel MEG recordings, respectively. The method averages this matrix over the time-frequency region of interest. The locations of neural sources are then estimated by checking the orthogonality between the noise subspace of this averaged matrix and the sensor lead field. The method therefore allows neural sources to be estimated from any time-frequency component of measured data. We applied the method to estimating sources for gamma-band (frequency range between 30 and 100 Hz) auditory activity, and the results demonstrating the method's effectiveness were obtained.

Original language | English (US) |
---|---|

Title of host publication | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |

Publisher | IEEE |

Pages | 69-72 |

Number of pages | 4 |

State | Published - 1998 |

Event | Proceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Pittsburgh, PA, USA Duration: Oct 6 1998 → Oct 9 1998 |

### Other

Other | Proceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
---|---|

City | Pittsburgh, PA, USA |

Period | 10/6/98 → 10/9/98 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis*(pp. 69-72). IEEE.

**Estimating neural sources from each time-frequency component of magnetoencephalographic data.** / Sekihara, Kensuke; Nagarajan, Srikantan; Poeppel, David; Miyashita, Yasushi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis.*IEEE, pp. 69-72, Proceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Pittsburgh, PA, USA, 10/6/98.

}

TY - GEN

T1 - Estimating neural sources from each time-frequency component of magnetoencephalographic data

AU - Sekihara, Kensuke

AU - Nagarajan, Srikantan

AU - Poeppel, David

AU - Miyashita, Yasushi

PY - 1998

Y1 - 1998

N2 - We have developed a method that incorporates the time-frequency characteristics of neural sources into magnetoencephalographic (MEG) source estimation. This method calculates a time-frequency matrix in which diagonal and off-diagonal terms are the auto- and cross-time-frequency distributions of multi-channel MEG recordings, respectively. The method averages this matrix over the time-frequency region of interest. The locations of neural sources are then estimated by checking the orthogonality between the noise subspace of this averaged matrix and the sensor lead field. The method therefore allows neural sources to be estimated from any time-frequency component of measured data. We applied the method to estimating sources for gamma-band (frequency range between 30 and 100 Hz) auditory activity, and the results demonstrating the method's effectiveness were obtained.

AB - We have developed a method that incorporates the time-frequency characteristics of neural sources into magnetoencephalographic (MEG) source estimation. This method calculates a time-frequency matrix in which diagonal and off-diagonal terms are the auto- and cross-time-frequency distributions of multi-channel MEG recordings, respectively. The method averages this matrix over the time-frequency region of interest. The locations of neural sources are then estimated by checking the orthogonality between the noise subspace of this averaged matrix and the sensor lead field. The method therefore allows neural sources to be estimated from any time-frequency component of measured data. We applied the method to estimating sources for gamma-band (frequency range between 30 and 100 Hz) auditory activity, and the results demonstrating the method's effectiveness were obtained.

UR - http://www.scopus.com/inward/record.url?scp=0031631656&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031631656&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031631656

SP - 69

EP - 72

BT - Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

PB - IEEE

ER -