Literature DB >> 10851802

Independent component approach to the analysis of EEG and MEG recordings.

R Vigário1, J Särelä, V Jousmäki, M Hämäläinen, E Oja.   

Abstract

Multichannel recordings of the electromagnetic fields emerging from neural currents in the brain generate large amounts of data. Suitable feature extraction methods are, therefore, useful to facilitate the representation and interpretation of the data. Recently developed independent component analysis (ICA) has been shown to be an efficient tool for artifact identification and extraction from electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings. In addition, ICA has been applied to the analysis of brain signals evoked by sensory stimuli. This paper reviews our recent results in this field.

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Year:  2000        PMID： 10851802     DOI： 10.1109/10.841330

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


  87 in total

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2.  A novel group ICA approach based on multi-scale individual component clustering. Application to a large sample of fMRI data.

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Journal:  Neuroinformatics       Date:  2012-07

3.  A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping.

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4.  Fast robust subject-independent magnetoencephalographic source localization using an artificial neural network.

Authors:  Sung Chan Jun; Barak A Pearlmutter
Journal:  Hum Brain Mapp       Date:  2005-01       Impact factor: 5.038

5.  A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity.

Authors:  Srikantan S Nagarajan; Hagai T Attias; Kenneth E Hild; Kensuke Sekihara
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Authors:  Mark P Brynildsen; Linh M Tran; James C Liao
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7.  Functional source separation from magnetoencephalographic signals.

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Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

8.  Reduction of noise from magnetoencephalography data.

Authors:  S Okawa; S Honda
Journal:  Med Biol Eng Comput       Date:  2005-09       Impact factor: 2.602

9.  Open Ephys electroencephalography (Open Ephys  +  EEG): a modular, low-cost, open-source solution to human neural recording.

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Journal:  J Neural Eng       Date:  2017-03-07       Impact factor: 5.379

10.  Spatiotemporal properties of intracellular calcium signaling in osteocytic and osteoblastic cell networks under fluid flow.

Authors:  Da Jing; X Lucas Lu; Erping Luo; Paul Sajda; Pui L Leong; X Edward Guo
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