Literature DB >> 10600021

Electrocorticographic coherence patterns.

V L Towle1, R K Carder, L Khorasani, D Lindberg.   

Abstract

The availability of implantable subdural electrode arrays has made systematic studies of electrocorticographic (ECoG) coherence possible. Studies of coherence patterns recorded directly from human cortex are reviewed along with the presentation of original human clinical data, which reveal reliable and characteristic patterns of coherence. A data-driven technique for discriminating between reliable and unreliable coherence and phase values is described and used to reveal the relationship between coherence and cortical anatomy, such as in the region of the central sulcus, where low phase coherence declines and high phase-shifted coherence increases. Analysis of coherence magnitude and phase makes it possible to determine which signals likely arise from the cortical surface, and which arise from the depths of a sulcus. Alterations in coherence patterns caused by tumors or epilepsy are described and may be used to identify normal and pathological functional relationships between distant cortical areas. Some electrophysiologic/pathologic correlations indicate at least two types of epileptic abnormality, implying a sequence in breakdown of epileptic tissue. The relationship between coherence patterns and behavior and cognition is introduced and compared to similar studies of single-unit binding in animals.

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Mesh:

Year:  1999        PMID: 10600021     DOI: 10.1097/00004691-199911000-00005

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  31 in total

1.  Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected.

Authors:  Christopher P Warren; Sanqing Hu; Matt Stead; Benjamin H Brinkmann; Mark R Bower; Gregory A Worrell
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

2.  Functional holography of recorded neuronal networks activity.

Authors:  Itay Baruchi; Eshel Ben-Jacob
Journal:  Neuroinformatics       Date:  2004

3.  Seizure detection using the phase-slope index and multichannel ECoG.

Authors:  Puneet Rana; John Lipor; Hyong Lee; Wim van Drongelen; Michael H Kohrman; Barry Van Veen
Journal:  IEEE Trans Biomed Eng       Date:  2012-01-18       Impact factor: 4.538

4.  Effect of neural connectivity on autocovariance and cross covariance estimates.

Authors:  Mark M Stecker
Journal:  Biomed Eng Online       Date:  2007-01-16       Impact factor: 2.819

5.  Cortical abnormalities in epilepsy revealed by local EEG synchrony.

Authors:  C A Schevon; J Cappell; R Emerson; J Isler; P Grieve; R Goodman; G McKhann; H Weiner; W Doyle; R Kuzniecky; O Devinsky; F Gilliam
Journal:  Neuroimage       Date:  2007-01-16       Impact factor: 6.556

6.  Global asymptotic coherence in discrete dynamical systems.

Authors:  David J D Earn; Simon A Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-07       Impact factor: 11.205

Review 7.  Connectivity measures applied to human brain electrophysiological data.

Authors:  R E Greenblatt; M E Pflieger; A E Ossadtchi
Journal:  J Neurosci Methods       Date:  2012-03-16       Impact factor: 2.390

8.  Inferring spatiotemporal network patterns from intracranial EEG data.

Authors:  A Ossadtchi; R E Greenblatt; V L Towle; M H Kohrman; K Kamada
Journal:  Clin Neurophysiol       Date:  2010-06       Impact factor: 3.708

9.  Estimating cortical column sensory networks in rodents from micro-electrocorticograph (μECoG) recordings.

Authors:  Ricardo Pizarro; Tom Richner; Sarah Brodnick; Sanitta Thongpang; Justin Williams; Barry Van Veen
Journal:  Neuroimage       Date:  2017-09-23       Impact factor: 6.556

10.  Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.

Authors:  Ankit N Khambhati; Kathryn A Davis; Timothy H Lucas; Brian Litt; Danielle S Bassett
Journal:  Neuron       Date:  2016-08-25       Impact factor: 17.173

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