Summary: To test the hypotheses that (i) electroencephalograms (EEGs) are largely made up of oscillations at many frequencies and (ii) that the peaks in the power spectra represent oscillations, we applied a new method, called the Period Specific Average (PSA) to a wide sample of EEGs. Both hypotheses can be rejected
Electrophysiological power spectra typically consist of two components: An aperiodic part usually fo...
Understanding the functional organization of brain activity is a fundamental topic in neuroscience. ...
Copyright © 2014 Barbara Berger et al.This is an open access article distributed under the Creative ...
uring the past 15 years, our research D group has published several reports about a working hypothes...
OBJECTIVE: To evaluate an automated seizure detection (ASD) algorithm in EEGs with periodic and othe...
Cataloged from PDF version of article.This work characterizes the dynamics of sleep spindles, obser...
Background: Cerebral cortex oscillations as recorded on electroencephalograms involve multiple frequ...
Spatio-temporal patterns in electroencephalography (EEG) can be described by microstate analysis, a ...
Objectives: (1) To examine the validity of comparing the phase of broad-band signals. (2) To measure...
Long-lasting periodic sensory stimulation is increasingly used in neuroscience to study, using elect...
The quantitative analysis of the electroencephalogram (EEG) relies heavily on methods of time series...
Periodic and non-periodic components of electrophysiological signals are modelled in terms of syncro...
Recent research has found long-range electroencephalogram (EEG) power law correlations, indicating t...
The properties of time-domain electroencephalographic data have been studied extensively. There has ...
The ubiquitous brain oscillations occur in bursts of oscillatory activity. The present report tries ...
Electrophysiological power spectra typically consist of two components: An aperiodic part usually fo...
Understanding the functional organization of brain activity is a fundamental topic in neuroscience. ...
Copyright © 2014 Barbara Berger et al.This is an open access article distributed under the Creative ...
uring the past 15 years, our research D group has published several reports about a working hypothes...
OBJECTIVE: To evaluate an automated seizure detection (ASD) algorithm in EEGs with periodic and othe...
Cataloged from PDF version of article.This work characterizes the dynamics of sleep spindles, obser...
Background: Cerebral cortex oscillations as recorded on electroencephalograms involve multiple frequ...
Spatio-temporal patterns in electroencephalography (EEG) can be described by microstate analysis, a ...
Objectives: (1) To examine the validity of comparing the phase of broad-band signals. (2) To measure...
Long-lasting periodic sensory stimulation is increasingly used in neuroscience to study, using elect...
The quantitative analysis of the electroencephalogram (EEG) relies heavily on methods of time series...
Periodic and non-periodic components of electrophysiological signals are modelled in terms of syncro...
Recent research has found long-range electroencephalogram (EEG) power law correlations, indicating t...
The properties of time-domain electroencephalographic data have been studied extensively. There has ...
The ubiquitous brain oscillations occur in bursts of oscillatory activity. The present report tries ...
Electrophysiological power spectra typically consist of two components: An aperiodic part usually fo...
Understanding the functional organization of brain activity is a fundamental topic in neuroscience. ...
Copyright © 2014 Barbara Berger et al.This is an open access article distributed under the Creative ...