Source space reduction for eLORETA.

J Neural Eng

KU Leuven-University of Leuven, Department of Neurosciences, Laboratory for Neuro- & Psychophysiology, B-3000 Leuven, Belgium.

Published: November 2021

We introduce Sparse exact low resolution electromagnetic tomography (eLORETA), a novel method for estimating a nonparametric solution to the source localization problem. Its goal is to generate a sparser solution compared to other source localization methods including eLORETA while benefitting from the latter's superior source localization accuracy.Sparse eLORETA starts by reducing the source space of the Lead Field Matrix using structured sparse Bayesian learning from which a Reduced Lead Field Matrix is constructed, which is used as input to eLORETA.With Sparse eLORETA, source sparsity can be traded against signal fidelity; the proposed optimum is shown to yield a much sparser solution than eLORETA's with only a slight loss in signal fidelity.When pursuing a data-driven approach, for cases where it is difficult to choose specific regions of interest, or when subsequently a connectivity analysis is performed, source space reduction could prove beneficial.

Download full-text PDF

Source
http://dx.doi.org/10.1088/1741-2552/ac2bb6DOI Listing

Publication Analysis

Top Keywords

source space
12
source localization
12
space reduction
8
sparser solution
8
lead field
8
field matrix
8
source
7
eloreta
5
reduction eloreta
4
eloreta introduce
4

Similar Publications

Significance: Stimulus-evoked intrinsic optical signal (IOS) changes in retinal photoreceptors are critical for functional optoretinography (ORG). Optical coherence tomography (OCT), with its depth-resolved imaging capability, has been actively explored for IOS imaging of retinal photoreceptors. However, recent OCT studies have reported conflicting results regarding light-induced changes in the photoreceptor outer segments (OSs), with both elongation and shrinkage being observed.

View Article and Find Full Text PDF

Incorporating Indium Oxide into Microplasma Reactor for CO Conversion to Methanol.

Small Methods

January 2025

Key Laboratory of UV-Emitting Materials and Technology of Chinese Ministry of Education, Northeast Normal University, Changchun, 130024, China.

The clean conversion of CO is a strategic issue for addressing global climate change and advancing energy transformation. While the current clean CO conversion is limited to the H pyrolysis process, using HO as a proton source is more promising and sustainable. A microplasma discharge method is developed, driven by electricity, and utilized for CO conversion with HO.

View Article and Find Full Text PDF

Ionization and fragmentation are at the core of mass spectrometry. But they are not necessarily separated in space, as in-source fragmentation can also occur. Here, we survey the literature published since our 2005 review on the internal energy and fragmentation in electrospray ionization sources.

View Article and Find Full Text PDF

Introduction: In Senegal, the Routine Health Information System (RHIS) captures the majority of data from the Ministry of Health and Social Action (MHSA) public structures and very little health data from the private sector and other ministerial departments. Quality data strengthens the validity and reliability of research results. Common areas of data quality include accuracy, completeness, consistency, credibility, and timeliness.

View Article and Find Full Text PDF

The Laser Interferometer Space Antenna (LISA) mission is designed to detect space gravitational wave sources in the millihertz band. A critical factor in the success of this mission is the residual acceleration noise metric of the internal test mass (TM) within the ultra-precise inertial sensors. Existing studies indicate that the coupling effects of residual gas and temperature gradient fluctuations significantly influence this metric, primarily manifesting as the radiometer effect and the outgassing effect.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!