Literature DB >> 7680995

Global dimensional complexity of multi-channel EEG indicates change of human brain functional state after a single dose of a nootropic drug.

J Wackermann1, D Lehmann, I Dvorak, C M Michel.   

Abstract

Viewing the multi-channel EEG as a sequence of momentary field maps corresponds to the concept of a trajectory in K-dimensional state space (K = number of channels). This approach permits a quantitative, single value measure of complexity of the brain state trajectory, the global correlation dimension that describes the ensemble characteristics of all recorded channels. In 5 normal volunteers, 4 records of 16-channel resting EEG were obtained during each of 4 randomized sessions (double blind design) after a single dose of placebo or 2.9 g or 4.8 g or 9.6 g piracetam. The global correlation dimension of a 40 sec epoch from each record was estimated, using 50 computational runs with 8192 point pairs. The results were combined for the two intermediate doses and averaged over repeated records. The dimensionality decreased from placebo (median = 5.89) to low dose (median = 5.72) to high dose (median = 5.59), significant in a Friedman ANOVA at P < 0.02, with significant differences between placebo vs. high and low vs. high dose. Thus, the subtle change of brain global functional state after a single dose of piracetam is reflected by the non-linear measure of global dimensional complexity of the multi-channel EEG.

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Year:  1993        PMID: 7680995     DOI: 10.1016/0013-4694(93)90007-i

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  5 in total

1.  Measuring the complexity of time series: an application to neurophysiological signals.

Authors:  S L Gonzalez Andino; R Grave de Peralta Menendez; G Thut; L Spinelli; O Blanke; C M Michel; M Seeck; T Landis
Journal:  Hum Brain Mapp       Date:  2000-09       Impact factor: 5.038

2.  Non-linear dynamical analysis of multichannel EEG: clinical applications in dementia and Parkinson's disease.

Authors:  K J Stam; D L Tavy; B Jelles; H A Achtereekte; J P Slaets; R W Keunen
Journal:  Brain Topogr       Date:  1994       Impact factor: 3.020

3.  Frequency domain source localization shows state-dependent diazepam effects in 47-channel EEG.

Authors:  C M Michel; R D Pascual-Marqui; W K Strik; T Koenig; D Lehmann
Journal:  J Neural Transm Gen Sect       Date:  1995

4.  Reliability of resting-state microstate features in electroencephalography.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Faranak Farzan
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

5.  Functional Near-Infrared Spectroscopy for the Classification of Motor-Related Brain Activity on the Sensor-Level.

Authors:  Alexander E Hramov; Vadim Grubov; Artem Badarin; Vladimir A Maksimenko; Alexander N Pisarchik
Journal:  Sensors (Basel)       Date:  2020-04-21       Impact factor: 3.576

  5 in total

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