Local Basis Expansions for MEG Source Localization

نویسنده

  • Partha P. Mitra
چکیده

We discuss the use of local basis expansions (LBEX) for solving linear inverse problems with continuous source spaces. The LBEX method is a generalisation, to the linear inverse problem, of the multitaper technique for spectral analysis. The multitaper technique employs Slepian sequences, that are maximally concentrated in the frequency domain. The analog for LBEX are combinations of lead fields which are spatially concentrated in the source space. The method interpolates the minimum norm (MN) and Backus-Gilbert (BG) techniques, and is related to SOPHIA and beamspace methods in the context of MEG inverse problems. The technique is quite general, and applications include: localization of spontaneous activity, simultaneous localization in source space and temporal frequency, as well as semi-parametric localization of focal activity. Here we present some specific applications to MEG.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Comparative Study of Global Optimization Approaches to MEG Source Localization

It is well-known that the problem of MEG source localization can be cast as an optimization problem. So far, there have been many works in which various optimization methods were adopted for source localization. In this paper, we compare the performance of three typical and widely used optimization techniques for a specific MEG source localization problem. We first introduce a hybrid algorithm ...

متن کامل

Estimating vector fields using sparse basis field expansions

We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functions, arises naturally in our framework from a rotational invariance requirement. We consider a regression setting as well as inverse problems. All variants discussed lead to second-order cone programming formulations. ...

متن کامل

Hybrid MEG source characterization by cortical remapping and imaging of parametric source models

Reliable estimation of the local spatial extent of neural activity is a key to the quantitative analysis of MEG sources across subjects and conditions. In association with an understanding of the temporal dynamics among multiple areas, this would represent a major advance in electrophysiological source imaging. Parametric current dipole approaches to MEG (and EEG) source localization can rapidl...

متن کامل

Source localization accuracy in MEG using the Galerkin method

We studied the source localization accuracy in MEG with single-surface brain-shaped conductor models. The Galerkin method with linear basis functions was used as a discretization method. To Þnd a dipolar source, a variant of the Newton method was used for solving nonlinear least-squares problems. Reference magnetic Þelds were computed using a very large number of unknowns to obtain accurate sol...

متن کامل

Error analysis of a Galerkin method to solve the forward problem in MEG using the boundary element method

Sources of brain activity, e.g. epileptic foci, can be localized with Magnetoencephalography (MEG) measurements by recording the magnetic field outside the head. For a successful surgery a very high localization accuracy is needed. The most often used conductor model in the source localization is an analytic sphere, which is not always adequate, and thus a realistically shaped conductor model i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005