Literature DB >> 16843722

Fast activity as a surrogate marker of epileptic network function?

S Rampp1, H Stefan.   

Abstract

The detection of epileptiform discharges in electroencephalography recordings is a crucial part in diagnosing epilepsy. Thorough electrophysiologic evaluation yields information that allows for tailored surgical therapy in many cases, and thus improves treatment outcome. In recent years, fast activity (>60-80Hz) has been investigated for its diagnostic value in addition to well-known patterns such as epileptic transients. It was shown that these high frequency oscillations are highly specific for epileptic network function and might provide valuable information for localization of epileptic networks and understanding of their mechanisms. In this review, an overview of the electrophysiologic characteristics, putative cellular and network mechanisms in epilepsy is given. Recent studies are reviewed and interpreted in the context of a common hypothetical model.

Entities:  

Mesh:

Year:  2006        PMID: 16843722     DOI: 10.1016/j.clinph.2006.02.023

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  23 in total

1.  Network recruitment to coherent oscillations in a hippocampal computer model.

Authors:  William C Stacey; Abba Krieger; Brian Litt
Journal:  J Neurophysiol       Date:  2011-01-27       Impact factor: 2.714

2.  Detection of seizure-associated high-frequency oscillations above 500Hz.

Authors:  Katsuhiro Kobayashi; Takashi Agari; Makio Oka; Harumi Yoshinaga; Isao Date; Yoko Ohtsuka; Jean Gotman
Journal:  Epilepsy Res       Date:  2009-11-14       Impact factor: 3.045

3.  Paroxysmal fast activity: an interictal scalp EEG marker of epileptogenesis in children.

Authors:  Joyce Y Wu; Susan Koh; Raman Sankar; Gary W Mathern
Journal:  Epilepsy Res       Date:  2008-09-19       Impact factor: 3.045

4.  High frequency EEG activity associated with ictal events in an animal model of infantile spasms.

Authors:  James D Frost; Chong L Lee; Richard A Hrachovy; John W Swann
Journal:  Epilepsia       Date:  2011-01-04       Impact factor: 5.864

5.  Further evidence that pathologic high-frequency oscillations are bursts of population spikes derived from recordings of identified cells in dentate gyrus.

Authors:  Anatol Bragin; Simone K Benassi; Farshad Kheiri; Jerome Engel
Journal:  Epilepsia       Date:  2011-01-04       Impact factor: 5.864

6.  Resection of ictal high-frequency oscillations leads to favorable surgical outcome in pediatric epilepsy.

Authors:  Hisako Fujiwara; Hansel M Greiner; Ki Hyeong Lee; Katherine D Holland-Bouley; Joo Hee Seo; Todd Arthur; Francesco T Mangano; James L Leach; Douglas F Rose
Journal:  Epilepsia       Date:  2012-08-20       Impact factor: 5.864

7.  A low-cost multielectrode system for data acquisition enabling real-time closed-loop processing with rapid recovery from stimulation artifacts.

Authors:  John D Rolston; Robert E Gross; Steve M Potter
Journal:  Front Neuroeng       Date:  2009-07-23

8.  Characterization of synchronization in interacting groups of oscillators: application to seizures.

Authors:  István Z Kiss; Mark Quigg; Shi-Hyung Calvin Chun; Hiroshi Kori; John L Hudson
Journal:  Biophys J       Date:  2007-10-05       Impact factor: 4.033

Review 9.  Spatial analysis of intracerebral electroencephalographic signals in the time and frequency domain: identification of epileptogenic networks in partial epilepsy.

Authors:  Fabrice Wendling; Fabrice Bartolomei; Lotfi Senhadji
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-01-28       Impact factor: 4.226

Review 10.  Epilepsy, regulation of brain energy metabolism and neurotransmission.

Authors:  Jean-François Cloix; Tobias Hévor
Journal:  Curr Med Chem       Date:  2009       Impact factor: 4.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.