Decomposition of magnetoencephalographic data into components corresponding to deep and superficial sources

Date

2008-06-01

Author

Özkurt, Tolga Esat
Sun, Mingui
Sclabassi, Robert J.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

81
views

0
downloads

We extend the signal space separation (SSS) method to decompose multichannel magnetoencephalographic (MEG) data into regions of interest inside the head. It has been shown that the SSS method can transform MEG data into a signal component generated by neurobiological sources and a noise component generated by external sources outside the head. In this paper, we show that the signal component obtained by the SSS method can be further decomposed by a simple operation into signals originating from deep and superficial sources within the brain. This is achieved by using a scheme that exploits the beamspace methodology that relies on a linear transformation that maximizes the power of the source space of interest. The efficiency and accuracy of the algorithm are demonstrated by experiments utilizing both simulated and real MEG data.

Subject Keywords

beamspace, biomagnetism, inverse problem, magnetoencephalography (MEG), signal space separation (SSS), source localization, spatial filtering, spherical harmonics, MEG, SPACE, EEG

URI

https://hdl.handle.net/11511/96896

Journal

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

DOI

https://doi.org/10.1109/tbme.2008.919120

Collections

Graduate School of Informatics, Article

Suggestions

OpenMETU
Core

Spatial Filtering of MEG Signals for User-Specified Spherical Regions Özkurt, Tolga Esat; Sun, Mingui; Jia, Wenyan; Sclabassi, Robert J. (2009-10-01) We introduce a spatial filtering method in the spherical harmonics domain for constraining magnetoencephalographic (MEG) multichannel measurements to any user-specified spherical region of interest (ROI) inside the head. The method relies on a linear transformation of the signal space separation inner coefficients that represent the MEG signal generated by sources located inside the head. The spatial filtering is achieved effectively by constructing a spherical harmonics basis vector that is dependent on th...
Evaluation of Sparsity-based Methods for Parameterized Source Separation Baskaya, Hasan Can; Öktem, Sevinç Figen (2020-10-07) Parametric reconstruction problems arise in many areas such as array processing, wireless communication, source separation, and spectroscopy. In a parametric recovery problem, the unknown model parameters in each superimposed signal are estimated from noisy observations. Sparsity-based methods used in compressive sensing are also applied to parametric recovery problems. These methods discretize the parameter space to form a dictionary whose atoms correspond to candidate parameter values, represent the data ...
Feature extraction of hidden oscillation in ECG data via multiple-FOD method Purutçuoğlu Gazi, Vilda; Erkuş, Ekin Can (null; 2019-10-30) Fourier transform (FT) is a non-parametric method which can be used to convert the time domain data into the frequency domain and can be used to find the periodicity of oscillations in time series datasets. In order to detect periodic-like outliers in time series data, a novel and promising method, named as the outlier detection via Fourier transform (FOD), has been developed. From our previous studies, it has been shown that FOD outperforms most of the commonly used approaches for the detection of outliers...
ANALYSIS OF MILLIMETER WAVE-GUIDES ON ANISOTROPIC SUBSTRATES USING THE 3-DIMENSIONAL TRANSMISSION-LINE MATRIX-METHOD BULUTAY, C; PRASAD, S (1993-06-01) Three-dimensional condensed asymmetrical node, variable grid, transmission-line matrix (TLM) method has been used in analyzing several millimeter waveguides on anisotropic substrates. The dispersion characteristics of image guides together with field and energy confinement properties at millimeter-wave frequencies have been investigated. Edge coupled microstrip line on a uniaxial substrate is analyzed for the even and odd mode dispersion characteristics. Finally the same analysis is repeated for bilateral f...
Total outage capacity of randomly-spread coded-CDMA with linear multiuser receivers over multipath fading channels Ertug, O; Sayrac, B; Baykal, Buyurman; Yucel, MD (2003-07-03) We address in this paper the derivation and analysis of the outage spectral efficiencies achievable with linear multiuser receivers over randomly-spread multipath fading time-varying coded-CDMA channels. The basis of the derivations is the use of non-asymptotic average eigenvalue densities of random cross-correlation matrices. The analysis give important clues on the achievable capacity with linear multiuser receivers under non-ergodic transmission situations.

Citation Formats

T. E. Özkurt, M. Sun, and R. J. Sclabassi, “Decomposition of magnetoencephalographic data into components corresponding to deep and superficial sources,” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 55, no. 6, pp. 1716–1727, 2008, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/96896.