Literature DB >> 16400227

Spectrum-weighted EEG frequency ("brain-rate") as a quantitative indicator of mental arousal.

Nada Pop-Jordanova1, Jordan Pop-Jordanov.   

Abstract

A concept of brain-rate is introduced, defining it as the weighted mean frequency of the EEG spectrum. In analogue to the blood pressure, heart-rate and temperature, used as standard preliminary indicators of corresponding general bodily activations, it is proposed to use the brain-rate as a preliminary indicator of general mental activation (mental arousal) level. In addition, along with the more specific few-band biofeedback parameters (theta-beta ratio, relative beta ratio, etc.), the brain-rate could be effectively used as a general multiband biofeedback parameter.

Mesh:

Year:  2005        PMID: 16400227

Source DB:  PubMed          Journal:  Prilozi        ISSN: 0351-3254


  8 in total

1.  Neurophysical substrates of arousal and attention.

Authors:  Jordan Pop-Jordanov; Nada Pop-Jordanova
Journal:  Cogn Process       Date:  2008-10-31

2.  Electroencephalographic spectral asymmetry index for detection of depression.

Authors:  Hiie Hinrikus; Anna Suhhova; Maie Bachmann; Kaire Aadamsoo; Ulle Võhma; Jaanus Lass; Viiu Tuulik
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

3.  Cognitive Effects of Montelukast: A Pharmaco-EEG Study.

Authors:  Fabian Schwimmbeck; Wolfgang Staffen; Christopher Höhn; Fabio Rossini; Nora Renz; Markus Lobendanz; Peter Reichenpfader; Bernhard Iglseder; Ludwig Aigner; Eugen Trinka; Yvonne Höller
Journal:  Brain Sci       Date:  2021-04-27

4.  QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder.

Authors:  Nada Pop-Jordanova; Tatjana Zorcec; Aneta Demerdzieva; Zoran Gucev
Journal:  Nonlinear Biomed Phys       Date:  2010-09-30

5.  Signatures of depression in non-stationary biometric time series.

Authors:  Milka Culic; Biljana Gjoneska; Hiie Hinrikus; Magnus Jändel; Wlodzimierz Klonowski; Hans Liljenström; Nada Pop-Jordanova; Dan Psatta; Dietrich von Rosen; Björn Wahlund
Journal:  Comput Intell Neurosci       Date:  2009-06-24

6.  On the application of quantitative EEG for characterizing autistic brain: a systematic review.

Authors:  Lucia Billeci; Federico Sicca; Koushik Maharatna; Fabio Apicella; Antonio Narzisi; Giulia Campatelli; Sara Calderoni; Giovanni Pioggia; Filippo Muratori
Journal:  Front Hum Neurosci       Date:  2013-08-05       Impact factor: 3.169

7.  Comparison of EEG-features and classification methods for motor imagery in patients with disorders of consciousness.

Authors:  Yvonne Höller; Jürgen Bergmann; Aljoscha Thomschewski; Martin Kronbichler; Peter Höller; Julia S Crone; Elisabeth V Schmid; Kevin Butz; Raffaele Nardone; Eugen Trinka
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

8.  Change in Mean Frequency of Resting-State Electroencephalography after Transcranial Direct Current Stimulation.

Authors:  Tjeerd W Boonstra; Stevan Nikolin; Ann-Christin Meisener; Donel M Martin; Colleen K Loo
Journal:  Front Hum Neurosci       Date:  2016-06-06       Impact factor: 3.169

  8 in total

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