Are the electroencephalograms mainly rhythmic? Assessment of periodicity in wide-band time series

Bullock, Theodore H.; McClune, Michael C.; Enright, J. T.

doi:10.1016/s0306-4522(03)00208-2

Cited by 79 publications

(60 citation statements)

References 30 publications

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“…According to Bullock et al (2003), increased coherence between two structures, namely A and B, can be caused by the following processes: (1) Structures A and B are driven by the same generator; (2) Structures A and B can mutually drive each other; (3) One of the structures, A or B, drives the other.…”

Section: Fundamental Analysis Of the Coherence Functionmentioning

confidence: 99%

A new interpretation of P300 responses upon analysis of coherences

Güntekin

Başar

2010

Cogn Neurodyn

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Previous studies on cognitive dynamics showed that oscillatory responses of P300 are composed of mainly delta and theta responses. In the present study, for the first time, the long-distance intra-hemispheric event related coherence (auditory oddball paradigm) and evoked coherence (simple sound) were compared in order to evaluate the effects of cognitive tasks on the long-distance coherences. Seventeen healthy subjects (8 female, 9 male) were included in the study. The coherence was analyzed for delta (1-3.5 Hz), theta (4-7.5 Hz) and alpha (8-13 Hz) frequency ranges for (F 3 -P 3 , F 4 -P 4 , F 3 -T 7 , F 4 -T 8 , F 3 -O 1, F 4 -O 2 ) electrode pairs. The coherence to target responses were higher than the non-target and simple auditory response coherence. This difference is significant for the delta coherence for both hemispheres and for theta coherences over the left hemisphere. The highest coherences were recorded at fronto-temporal locations for all frequency bands (delta, theta, alpha). Furthermore, frontoparietal coherences were higher than the fronto-occipital coherences for all frequency bands (delta, theta, alpha).These results show that the fronto-temporal and fronto-parietal connections are most relevant for the identification of the target signal. This analysis open the way for a new interpretation of dynamic localization results during cognitive tasks.

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Section: Fundamental Analysis Of the Coherence Functionmentioning

confidence: 99%

A new interpretation of P300 responses upon analysis of coherences

Güntekin

Başar

2010

Cogn Neurodyn

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“…The degree of EEG coherence between two cortical regions is believed to reflect the strength of the functional interconnections that occur between them [7]. Coherent EEG activity in the gamma frequency band increases during different behaviors and cognitive functions in both animals and humans [5,6].…”

Section: Introductionmentioning

confidence: 99%

Inter-hemispheric coherence of neocortical gamma oscillations during sleep and wakefulness

Castro

Cavelli

Vollono

et al. 2014

Neuroscience Letters

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“…In the context of brain imaging, such activity was initially attributed to the intrinsic 1/f electronic device noise and was systematically removed by high-pass filtering or normalization of M/EEG data. However, several authors have shown that ongoing activity, the major part of brain activity [2,3], has scale-free dynamics -i.e. a 1/f power spectrum [1,[3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Modulation of scale-free properties of brain activity in MEG

Zilber

Ciuciu

Abry

et al. 2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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The analysis of scale-free (i.e., 1/f power spectrum) brain activity has emerged in the last decade since it has been shown that low frequency fluctuations interact with oscillatory activity in electrophysiology, noticeably when exogenous factors (stimuli, task) are delivered to the human brain. However, there are some major difficulties in measuring scale-free activity in neuroimaging data: they are noisy, possibly nonstationary ... Here, we make use of multifractal analysis to better understand the biological meaning of scale-free activity recorded with Magnetoencephalography (MEG) data. On a cohort of 20 subjects, we demonstrate the presence of self-similarity on all sensors during rest and visually evoked activity. Also, we report significant multifractality on the norm of gradiometers. Finally, on the latter signals we show how self-similarity and multifractality are modulated between ongoing and evoked activity.

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Are the electroencephalograms mainly rhythmic? Assessment of periodicity in wide-band time series

Cited by 79 publications

References 30 publications

A new interpretation of P300 responses upon analysis of coherences

A new interpretation of P300 responses upon analysis of coherences

Inter-hemispheric coherence of neocortical gamma oscillations during sleep and wakefulness

Modulation of scale-free properties of brain activity in MEG

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