Literature DB >> 8357705

EEG/EP: new techniques.

W Skrandies1.   

Abstract

The topographic analysis of electrical brain activity consists of the extraction of quantitative features which adequately describe the scalp recorded electrical fields of the brain. In the beginning of brain electrical activity mapping most methods centered mainly around the graphical display of multichannel EEG and evoked potential data. Meanwhile quantitative analysis strategies have been developed, and such methods are applied to topographic EEG and evoked potential data enabling the statistical evaluation of the effects of different experimental conditions as well as the comparison of various clinical populations. Major new analysis techniques comprise the computation of global field power and global dissimilarity for determination of components of evoked potential fields, the segmentation of map series by topographical features, time range analysis, FFT approximation for the spatial analysis of EEG frequency bands as well as correlation analysis and spatial principal components analysis (Spatial PCA). Data from experiments dealing with evoked brain activity will illustrate the application of these quantitative methods that also can be used for the analysis of the spontaneous EEG.

Mesh:

Year:  1993        PMID: 8357705     DOI: 10.1007/bf01128688

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  10 in total

1.  Unrestricted principal components analysis of brain electrical activity: issues of data dimensionality, artifact, and utility.

Authors:  F H Duffy; K Jones; P Bartels; G McAnulty; M Albert
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

Review 2.  Global field power and topographic similarity.

Authors:  W Skrandies
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

3.  Data reduction of multichannel fields: global field power and principal component analysis.

Authors:  W Skrandies
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

4.  Intracerebral dipole source localization for FFT power maps.

Authors:  D Lehmann; C M Michel
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1990-09

5.  Time range analysis of evoked potential fields.

Authors:  W Skrandies
Journal:  Brain Topogr       Date:  1988       Impact factor: 3.020

6.  Reference-free identification of components of checkerboard-evoked multichannel potential fields.

Authors:  D Lehmann; W Skrandies
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1980-06

7.  Spatial principal components of multichannel maps evoked by lateral visual half-field stimuli.

Authors:  W Skrandies; D Lehmann
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1982-12

8.  Latent components of potentials evoked by visual stimuli in different retinal locations.

Authors:  W Skrandies
Journal:  Int J Neurosci       Date:  1981       Impact factor: 2.292

9.  Distribution of latent components related to information processing.

Authors:  W Skrandies; R M Chapman; J W McCrary; J A Chapman
Journal:  Ann N Y Acad Sci       Date:  1984       Impact factor: 5.691

10.  A multivariate approach to the analysis of average evoked potentials.

Authors:  E Donchin
Journal:  IEEE Trans Biomed Eng       Date:  1966-07       Impact factor: 4.538

  10 in total
  2 in total

Review 1.  Neuroimaging Modalities in Alzheimer's Disease: Diagnosis and Clinical Features.

Authors:  JunHyun Kim; Minhong Jeong; Wesley R Stiles; Hak Soo Choi
Journal:  Int J Mol Sci       Date:  2022-05-28       Impact factor: 6.208

2.  Response inhibition deficits in externalizing child psychiatric disorders: an ERP-study with the Stop-task.

Authors:  Björn Albrecht; Tobias Banaschewski; Daniel Brandeis; Hartmut Heinrich; Aribert Rothenberger
Journal:  Behav Brain Funct       Date:  2005-12-09       Impact factor: 3.759

  2 in total

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