Literature DB >> 3152766

Extraction of "deep" components from scalp EEG.

B Hjorth1, E Rodin.   

Abstract

In an attempt to delineate the relative contribution of surface versus deep components in the EEG of patients with 3 per second generalized spike-wave discharges and clinical petit mal seizures, a mathematical method was devised which allows the splitting of the EEG into two major subsystems. It is based on the observation that broad electrical fields tend to represent activity at deeper structures while discrete narrow fields centered at one electrode position tend to be of more superficial origin. Since source derivation intentionally suppresses broad potential fields, a differentiation between superficial and deep activity can be achieved by subtracting the source density values from the corresponding electrode potential values. This will provide those aspects of the EEG which are contributed mainly by deep generators. The resultant data can then be subjected to eigenfunction analysis which yields few uncorrelated components. The percentage of contribution of each electrode to the total component thus derived can then be displayed as a topographic map. When this methodology was applied to ictal EEGs of three patients consistent results were obtained. The "deep" data yielded mainly two components with mutually perpendicular directions.

Entities:  

Mesh:

Year:  1988        PMID: 3152766     DOI: 10.1007/bf01129342

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


  5 in total

1.  Scalp current density mapping: value and estimation from potential data.

Authors:  F Perrin; O Bertrand; J Pernier
Journal:  IEEE Trans Biomed Eng       Date:  1987-04       Impact factor: 4.538

2.  Multichannel EEG preprocessing: analogue matrix operations in the study of local effects.

Authors:  B Hjorth
Journal:  Pharmakopsychiatr Neuropsychopharmakol       Date:  1979-01

3.  Source derivation in clinical routine EEG.

Authors:  G Wallin; E Stålberg
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1980-11

4.  An adaptive EEG derivation technique.

Authors:  B Hjorth
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1982-12

5.  An on-line transformation of EEG scalp potentials into orthogonal source derivations.

Authors:  B Hjorth
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1975-11
  5 in total
  8 in total

1.  Choice of the reference for EEG mapping in the newborn: an initial comparison of common nose reference, average and source derivation.

Authors:  D A Samson-Dollfus; H Bendoukha
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

2.  Eigenvectors and eigenfunctions in spatiotemporal EEG analysis.

Authors:  B Hjorth
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

3.  Partitioning of deep versus superficial intracranial sources using current source densities is not valid.

Authors:  B I Turetsky; G Fein
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

4.  The decomposition of the middle latency auditory evoked potential (MLAEP) Pa component into superficial and deep source contributions.

Authors:  G P Jacobson; C W Newman
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

5.  Surface Laplacians (SL) and phase properties of EEG rhythms: Simulated generators in a volume-conduction model.

Authors:  Craig E Tenke; Jürgen Kayser
Journal:  Int J Psychophysiol       Date:  2015-05-21       Impact factor: 2.997

6.  Investigation of bilateral synchronous spike-wave discharge by EEG topography.

Authors:  H Yoshinaga; K Kobayashi; M Sato; E Oka; S Ohtahara
Journal:  Brain Topogr       Date:  1996       Impact factor: 3.020

7.  An eigenfunction approach to the inverse problem of EEG.

Authors:  B Hjorth; E Rodin
Journal:  Brain Topogr       Date:  1988       Impact factor: 3.020

Review 8.  Generator localization by current source density (CSD): implications of volume conduction and field closure at intracranial and scalp resolutions.

Authors:  Craig E Tenke; Jürgen Kayser
Journal:  Clin Neurophysiol       Date:  2012-07-15       Impact factor: 3.708

  8 in total

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