Literature DB >> 22575610

Reliability of quantitative EEG (qEEG) measures and LORETA current source density at 30 days.

Rex L Cannon1, Debora R Baldwin, Tiffany L Shaw, Dominic J Diloreto, Sherman M Phillips, Annie M Scruggs, Timothy C Riehl.   

Abstract

There is a growing interest for using quantitative EEG and LORETA current source density in clinical and research settings. Importantly, if these indices are to be employed in clinical settings then the reliability of these measures is of great concern. Neuroguide (Applied Neurosciences) is sophisticated software developed for the analyses of power, and connectivity measures of the EEG as well as LORETA current source density. To date there are relatively few data evaluating topographical EEG reliability contrasts for all 19 channels and no studies have evaluated reliability for LORETA calculations. We obtained 4 min eyes-closed and eyes-opened EEG recordings at 30-day intervals. The EEG was analyzed in Neuroguide and FFT power, coherence and phase was computed for traditional frequency bands (delta, theta, alpha and beta) and LORETA current source density was calculated in 1 Hz increments and summed for total power in eight regions of interest (ROI). In order to obtain a robust measure of reliability we utilized a random effects model with an absolute agreement definition. The results show very good reproducibility for total absolute power and coherence. Phase shows lower reliability coefficients. LORETA current source density shows very good reliability with an average 0.81 for ECB and 0.82 for EOB. Similarly, the eight regions of interest show good to very good agreement across time. Implications for future directions and use of qEEG and LORETA in clinical populations are discussed.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22575610     DOI: 10.1016/j.neulet.2012.04.035

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  20 in total

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Journal:  Psychophysiology       Date:  2017-01       Impact factor: 4.016

3.  Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System.

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Journal:  Int J Neural Syst       Date:  2017-04-11       Impact factor: 5.866

4.  Reversing pathologically increased EEG power by acoustic coordinated reset neuromodulation.

Authors:  Ilya Adamchic; Timea Toth; Christian Hauptmann; Peter Alexander Tass
Journal:  Hum Brain Mapp       Date:  2013-08-01       Impact factor: 5.038

5.  Unravelling the effect of experimental pain on the corticomotor system using transcranial magnetic stimulation and electroencephalography.

Authors:  Marylie Martel; Marie-Philippe Harvey; Francis Houde; Frédéric Balg; Philippe Goffaux; Guillaume Léonard
Journal:  Exp Brain Res       Date:  2017-02-10       Impact factor: 1.972

6.  Theta resting EEG in TPJ/pSTS is associated with individual differences in the feeling of being looked at.

Authors:  Lorena R R Gianotti; Janek S Lobmaier; Cinzia Calluso; Franziska M Dahinden; Daria Knoch
Journal:  Soc Cogn Affect Neurosci       Date:  2018-02-01       Impact factor: 3.436

7.  An fMRI investigation of the neural correlates underlying the autonomous sensory meridian response (ASMR).

Authors:  Bryson C Lochte; Sean A Guillory; Craig A H Richard; William M Kelley
Journal:  Bioimpacts       Date:  2018-09-23

8.  Reliability of EEG Interactions Differs between Measures and Is Specific for Neurological Diseases.

Authors:  Yvonne Höller; Kevin Butz; Aljoscha Thomschewski; Elisabeth Schmid; Andreas Uhl; Arne C Bathke; Georg Zimmermann; Santino O Tomasi; Raffaele Nardone; Wolfgang Staffen; Peter Höller; Markus Leitinger; Julia Höfler; Gudrun Kalss; Alexandra C Taylor; Giorgi Kuchukhidze; Eugen Trinka
Journal:  Front Hum Neurosci       Date:  2017-07-05       Impact factor: 3.169

9.  Reliability of EEG Measures of Interaction: A Paradigm Shift Is Needed to Fight the Reproducibility Crisis.

Authors:  Yvonne Höller; Andreas Uhl; Arne Bathke; Aljoscha Thomschewski; Kevin Butz; Raffaele Nardone; Jürgen Fell; Eugen Trinka
Journal:  Front Hum Neurosci       Date:  2017-08-30       Impact factor: 3.169

10.  Neural signatures of different behavioral types in fairness norm compliance.

Authors:  Lorena R R Gianotti; Kyle Nash; Thomas Baumgartner; Franziska M Dahinden; Daria Knoch
Journal:  Sci Rep       Date:  2018-07-12       Impact factor: 4.379

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