Literature DB >> 25460068

Spatiotemporal phase clusters and phase synchronization patterns derived from high density EEG and ECoG recordings.

Ceon Ramon1, Mark D Holmes2.   

Abstract

High density scalp EEG and subdural ECoG recordings provide an opportunity to map the electrical activity of the cortex with high spatial resolution. The spatial power spectral densities conform to a power law distribution with some nonlinear variations. The spatiotemporal patterns of phase derived from these data sets have unique features, such as, amplitude and phase modulation waves and also exhibited formation of spatial phase cluster patterns. These unique features represent different cognitive states and are different between normal and diseased states. Reported results show that the rate of formation of phase cluster patterns derived from the seizure-free interictal EEG data are higher in epileptogenic zones as compared with nearby normal areas of the brain.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25460068     DOI: 10.1016/j.conb.2014.10.001

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  6 in total

1.  Neuronal dynamics enable the functional differentiation of resting state networks in the human brain.

Authors:  Marco Marino; Quanying Liu; Jessica Samogin; Franca Tecchio; Carlo Cottone; Dante Mantini; Camillo Porcaro
Journal:  Hum Brain Mapp       Date:  2018-11-15       Impact factor: 5.038

2.  Correlation Structure in Micro-ECoG Recordings is Described by Spatially Coherent Components.

Authors:  Nicholas Rogers; John Hermiz; Mehran Ganji; Erik Kaestner; Kıvılcım Kılıç; Lorraine Hossain; Martin Thunemann; Daniel R Cleary; Bob S Carter; David Barba; Anna Devor; Eric Halgren; Shadi A Dayeh; Vikash Gilja
Journal:  PLoS Comput Biol       Date:  2019-02-11       Impact factor: 4.475

Review 3.  Toward a Mechanistic Understanding of Epileptic Networks.

Authors:  Elliot H Smith; Catherine A Schevon
Journal:  Curr Neurol Neurosci Rep       Date:  2016-11       Impact factor: 5.081

4.  Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer's Disease.

Authors:  Fenne Margreeth Smits; Camillo Porcaro; Carlo Cottone; Andrea Cancelli; Paolo Maria Rossini; Franca Tecchio
Journal:  PLoS One       Date:  2016-02-12       Impact factor: 3.240

5.  Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data.

Authors:  Ceon Ramon; Mark D Holmes; Mackenzie V Wise; Don Tucker; Kevin Jenson; Samuel R Kinn
Journal:  Comput Math Methods Med       Date:  2018-11-21       Impact factor: 2.238

6.  A high-density 256-channel cap for dry electroencephalography.

Authors:  Patrique Fiedler; Carlos Fonseca; Eko Supriyanto; Frank Zanow; Jens Haueisen
Journal:  Hum Brain Mapp       Date:  2021-11-19       Impact factor: 5.038

  6 in total

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