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An age-adjusted EEG source classifier accurately detects school-aged barbadian children that had protein energy malnutrition in the first year of life
ML Bringas Vega, Y Guo, Q Tang, FA Razzaq… - Frontiers in …, 2019 - frontiersin.org
We have identified an electroencephalographic (EEG) based statistical classifier that
correctly distinguishes children with histories of Protein Energy Malnutrition (PEM) in the first …
correctly distinguishes children with histories of Protein Energy Malnutrition (PEM) in the first …
Stepwise covariance-free common principal components (CF-CPC) with an application to neuroscience
Finding the common principal component (CPC) for ultra-high dimensional data is a
multivariate technique used to discover the latent structure of covariance matrices of shared …
multivariate technique used to discover the latent structure of covariance matrices of shared …
Bottom-up control of leakage in spectral electrophysiological source imaging via structured sparse bayesian learning
E Gonzalez-Moreira, D Paz-Linares… - BioRxiv, 2020 - biorxiv.org
Brain electrical activity in different spectral bands has been associated with diverse
mechanisms underlying Brain function. Deeper reconnoitering of these mechanisms entails …
mechanisms underlying Brain function. Deeper reconnoitering of these mechanisms entails …
supFunSim: Spatial Filtering Toolbox for EEG
K Rykaczewski, J Nikadon, W Duch, T Piotrowski - Neuroinformatics, 2021 - Springer
Brain activity pattern recognition from EEG or MEG signal analysis is one of the most
important method in cognitive neuroscience. The supFunSim library is a new Matlab toolbox …
important method in cognitive neuroscience. The supFunSim library is a new Matlab toolbox …
Source space reduction for eLORETA
A Faes, A de Borman… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. We introduce Sparse exact low resolution electromagnetic tomography
(eLORETA), a novel method for estimating a nonparametric solution to the source …
(eLORETA), a novel method for estimating a nonparametric solution to the source …
An exploratory study of EEG connectivity during the first year of life in preterm and full-term infants
E Gonzalez-Moreira, D Paz-Linares, L Cubero-Rego… - bioRxiv, 2021 - biorxiv.org
Aim To evaluate electroencephalography (EEG) connectivity during the first year of age in
healthy full-term infants and preterm infants with prenatal and perinatal risk factors for …
healthy full-term infants and preterm infants with prenatal and perinatal risk factors for …
[PDF][PDF] 脑电磁成像进展及展望
张杨松， 卓彦， 尧德中 - **科学: 生命科学, 2020 - researchgate.net
摘要无创脑电磁成像技术以其高时间分辨能力, 且可通过源成像技术有效提高空间分辨力,
在推进大脑认知原理和脑疾病机制研究中起着不可或缺的重要作用. 本文从脑电/磁信号处理 …
在推进大脑认知原理和脑疾病机制研究中起着不可或缺的重要作用. 本文从脑电/磁信号处理 …
Are Sources of EEG and MEG rhythmic activity the same? An analysis based on BC-VARETA
Q Yuan, U Riaz, M Li, Y Wang, D Paz-Linares… - bioRxiv, 2019 - biorxiv.org
In the resting state (closed or open eyes) electroencephalogram (EEG) and the
magnetoencephalogram (MEG), rhythmic brain activity is very evident, typically the 10 Hz …
magnetoencephalogram (MEG), rhythmic brain activity is very evident, typically the 10 Hz …
[فهرست منابع][C] El cerebro como un sistema dinámico híbrido
D Araya Gálvez - 2023 - repositoriobibliotecas.uv.cl
Las funciones cognitivas del cerebro emergen a partir de la interacción o conectividad de
múltiples regiones que están continuamente cambiando en el tiempo, dando lugar a lo que …
múltiples regiones que están continuamente cambiando en el tiempo, dando lugar a lo que …