Literature DB >> 15589176

Full-band EEG (FbEEG): an emerging standard in electroencephalography.

Sampsa Vanhatalo1, Juha Voipio, Kai Kaila.   

Abstract

While enormous resources have been recently invested into the development of a variety of neuroimaging techniques, the bandwidth of the clinical EEG, originally set by trivial technical limitations, has remained practically unaltered for over 50 years. An increasing amount of evidence shows that salient EEG signals are observed beyond the bandwidth of the routine clinical EEG, which is typically around 0.5-50 Hz. Physiological and pathological EEG activity ranges at least from 0.01 Hz to several hundred Hz, as demonstrated in recordings of spontaneous activity in the immature human brain, as well as during epileptic seizures, or various kinds of cognitive tasks and states in the adult brain. In the present paper, we will review several arguments leading to the conclusion that elimination of the lower (infraslow) or higher (ultrafast) bands of the EEG frequency spectrum in routine EEG leads to situations where salient and physiologically meaningful features of brain activity are ignored. Recording the full, physiologically relevant range of frequencies is readily attained with commercially available direct-current (DC) coupled amplifiers, which have a wide dynamic range and a high sampling rate. Such amplifiers, combined with appropriate DC-stable electrode-skin interface, provide a genuine full-band EEG (FbEEG). FbEEG is mandatory for a faithful, non-distorted and non-attenuated recording, and it does not have trade-offs that would favor any frequency band at the expense of another. With the currently available electrode, amplifier and data acquisition technology, FbEEG is likely to become the standard approach for a wide range of applications in both basic science and in the clinic.

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Year:  2005        PMID: 15589176     DOI: 10.1016/j.clinph.2004.09.015

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  30 in total

1.  Preterm EEG: a multimodal neurophysiological protocol.

Authors:  Susanna Stjerna; Juha Voipio; Marjo Metsäranta; Kai Kaila; Sampsa Vanhatalo
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Review 2.  High-frequency oscillations and other electrophysiological biomarkers of epilepsy: clinical studies.

Authors:  Greg Worrell; Jean Gotman
Journal:  Biomark Med       Date:  2011-10       Impact factor: 2.851

3.  Infraslow EEG activity modulates cortical excitability in postanoxic encephalopathy.

Authors:  Michel J A M van Putten; Marleen C Tjepkema-Cloostermans; Jeannette Hofmeijer
Journal:  J Neurophysiol       Date:  2015-02-18       Impact factor: 2.714

4.  Infraslow Electroencephalographic and Dynamic Resting State Network Activity.

Authors:  Joshua K Grooms; Garth J Thompson; Wen-Ju Pan; Jacob Billings; Eric H Schumacher; Charles M Epstein; Shella D Keilholz
Journal:  Brain Connect       Date:  2017-06

Review 5.  Recording and analysis techniques for high-frequency oscillations.

Authors:  G A Worrell; K Jerbi; K Kobayashi; J M Lina; R Zelmann; M Le Van Quyen
Journal:  Prog Neurobiol       Date:  2012-03-07       Impact factor: 11.685

6.  Multi-feature localization of epileptic foci from interictal, intracranial EEG.

Authors:  Jan Cimbalnik; Petr Klimes; Vladimir Sladky; Petr Nejedly; Pavel Jurak; Martin Pail; Robert Roman; Pavel Daniel; Hari Guragain; Benjamin Brinkmann; Milan Brazdil; Greg Worrell
Journal:  Clin Neurophysiol       Date:  2019-08-05       Impact factor: 3.708

7.  Direct current electrocorticography for clinical neuromonitoring of spreading depolarizations.

Authors:  Jed A Hartings; Chunyan Li; Jason M Hinzman; C William Shuttleworth; Griffin L Ernst; Jens P Dreier; J Adam Wilson; Norberto Andaluz; Brandon Foreman; Andrew P Carlson
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 8.  Infraslow (<0.1 Hz) oscillations in thalamic relay nuclei basic mechanisms and significance to health and disease states.

Authors:  Stuart W Hughes; Magor L Lorincz; H Rheinallt Parri; Vincenzo Crunelli
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

Review 9.  Electrophysiological biomarkers of epilepsy.

Authors:  Richard J Staba; Matt Stead; Gregory A Worrell
Journal:  Neurotherapeutics       Date:  2014-04       Impact factor: 7.620

Review 10.  Neural and metabolic basis of dynamic resting state fMRI.

Authors:  Garth J Thompson
Journal:  Neuroimage       Date:  2017-09-09       Impact factor: 6.556

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