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Correlation networks for identifying changes in brain connectivity during epileptiform discharges and transcranial magnetic stimulation.

TitleCorrelation networks for identifying changes in brain connectivity during epileptiform discharges and transcranial magnetic stimulation.
Publication TypeJournal Article
Year of Publication2014
AuthorsSiggiridou, E., Kugiumtzis D., & Kimiskidis V. K.
JournalSensors (Basel)
Volume14
Issue7
Pagination12585-97
Date Published2014
ISSN1424-8220
KeywordsAdult, Brain, Connectome, Data Interpretation, Statistical, Electroencephalography, Epilepsy, Evoked Potentials, Female, Humans, Nerve Net, Reproducibility of Results, Sensitivity and Specificity, Statistics as Topic, Transcranial Magnetic Stimulation
Abstract

The occurrence of epileptiform discharges (ED) in electroencephalographic (EEG) recordings of patients with epilepsy signifies a change in brain dynamics and particularly brain connectivity. Transcranial magnetic stimulation (TMS) has been recently acknowledged as a non-invasive brain stimulation technique that can be used in focal epilepsy for therapeutic purposes. In this case study, it is investigated whether simple time-domain connectivity measures, namely cross-correlation and partial cross-correlation, can detect alterations in the connectivity structure estimated from selected EEG channels before and during ED, as well as how this changes with the application of TMS. The correlation for each channel pair is computed on non-overlapping windows of 1 s duration forming weighted networks. Further, binary networks are derived by thresholding or statistical significance tests (parametric and randomization tests). The information for the binary networks is summarized by statistical network measures, such as the average degree and the average path length. Alterations of brain connectivity before, during and after ED with or without TMS are identified by statistical analysis of the network measures at each state.

DOI10.3390/s140712585
Alternate JournalSensors (Basel)
PubMed ID25025550
PubMed Central IDPMC4168515

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