Literature DB >> 10912347

An alpha modulation index for electroencephalographic studies using complex demodulation.

M J Schroeder1, R E Barr.   

Abstract

An automated technique for measuring the relative amount of amplitude modulation of electroencephalographic (EEG) alpha activity is developed to increase the number of existing tools for differentiating the various types of alpha activity. EEG data collected from 12 normal males is used to characterize alpha modulation frequency characteristics. From these findings, a complex demodulation method is constructed to extract the amplitude modulation envelope of alpha activity from an epoch of EEG data while disregarding both continuous amplitude alpha activity and activity outside the alpha band. A threshold technique is then used to determine the relative amount of modulation contained within the data epoch. This metric is termed the alpha modulation index (AMI). Good correlation (R2 = 0.86) is found when automated scoring results are compared with manual scoring of physiologic EEG alpha modulation. The flexibility of this technique makes it easily adaptable to other EEG frequency bands and applications.

Entities:  

Mesh:

Year:  2000        PMID: 10912347     DOI: 10.1007/BF02347051

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   3.079


  8 in total

1.  Application of phase detection and averaging techniques in computer analysis of EEG records in the cat.

Authors:  W R ADEY; D O WALTER
Journal:  Exp Neurol       Date:  1963-03       Impact factor: 5.330

2.  Periodicities in the rate of on-demand electrical stimulation of the mesencephalic reticular formation to maintain wakefulness.

Authors:  E A Lucas; R M Harper
Journal:  Exp Neurol       Date:  1976-05       Impact factor: 5.330

3.  The cortical source of the alpha rhythm.

Authors:  F H Lopes Da Silva; W Storm Van Leeuwen
Journal:  Neurosci Lett       Date:  1977-11       Impact factor: 3.046

Review 4.  Alpha oscillations in brain functioning: an integrative theory.

Authors:  E Başar; M Schürmann; C Başar-Eroglu; S Karakaş
Journal:  Int J Psychophysiol       Date:  1997-06       Impact factor: 2.997

Review 5.  Alpha rhythms: noise, dynamics and models.

Authors:  F H Lopes da Silva; J P Pijn; D Velis; P C Nijssen
Journal:  Int J Psychophysiol       Date:  1997-06       Impact factor: 2.997

6.  The method of complex demodulation.

Authors:  D O Walter
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1968

7.  Alpha envelope detection and distortion. A polyphase rectifier circuit.

Authors:  E Pasquali
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1969-01

8.  Computer analysis techniques for phonocardiogram diagnosis.

Authors:  A A Sarkady; R R Clark; R Williams
Journal:  Comput Biomed Res       Date:  1976-08
  8 in total
  4 in total

1.  Identifying robust and sensitive frequency bands for interrogating neural oscillations.

Authors:  Alexander J Shackman; Brenton W McMenamin; Jeffrey S Maxwell; Lawrence L Greischar; Richard J Davidson
Journal:  Neuroimage       Date:  2010-03-18       Impact factor: 6.556

2.  Time perception at different EEG-vigilance levels.

Authors:  Juliane Minkwitz; Maja U Trenner; Christian Sander; Sebastian Olbrich; Abigail J Sheldrick; Ulrich Hegerl; Hubertus Himmerich
Journal:  Behav Brain Funct       Date:  2012-09-21       Impact factor: 3.759

3.  Prestimulus vigilance predicts response speed in an easy visual discrimination task.

Authors:  Juliane Minkwitz; Maja U Trenner; Christian Sander; Sebastian Olbrich; Abigail J Sheldrick; Peter Schönknecht; Ulrich Hegerl; Hubertus Himmerich
Journal:  Behav Brain Funct       Date:  2011-08-05       Impact factor: 3.759

4.  Effect of mother's voice on neonatal respiratory activity and EEG delta amplitude.

Authors:  Mariko O Uchida; Takeshi Arimitsu; Kiyomi Yatabe; Kazushige Ikeda; Takao Takahashi; Yasuyo Minagawa
Journal:  Dev Psychobiol       Date:  2017-12-04       Impact factor: 3.038

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.