TMS combined with EEG in genetic generalized epilepsy: A phase II diagnostic accuracy study.
Τίτλος | TMS combined with EEG in genetic generalized epilepsy: A phase II diagnostic accuracy study. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Kimiskidis, V. K., Tsimpiris A., Ryvlin P., Kälviäinen R., Koutroumanidis M., Valentin A., Laskaris N., & Kugiumtzis D. |
Journal | Clin Neurophysiol |
Volume | 128 |
Issue | 2 |
Pagination | 367-381 |
Date Published | 2017 Feb |
ISSN | 1872-8952 |
Λέξεις κλειδιά | Adolescent, Adult, Case-Control Studies, Data Accuracy, Electroencephalography, Epilepsy, Generalized, Female, Humans, Male, Middle Aged, Transcranial Magnetic Stimulation |
Abstract | OBJECTIVES: (A) To develop a TMS-EEG stimulation and data analysis protocol in genetic generalized epilepsy (GGE). (B) To investigate the diagnostic accuracy of TMS-EEG in GGE.METHODS: Pilot experiments resulted in the development and optimization of a paired-pulse TMS-EEG protocol at rest, during hyperventilation (HV), and post-HV combined with multi-level data analysis. This protocol was applied in 11 controls (C) and 25 GGE patients (P), further dichotomized into responders to antiepileptic drugs (R, n=13) and non-responders (n-R, n=12).Features (n=57) extracted from TMS-EEG responses after multi-level analysis were given to a feature selection scheme and a Bayesian classifier, and the accuracy of assigning participants into the classes P-C and R-nR was computed.RESULTS: On the basis of the optimal feature subset, the cross-validated accuracy of TMS-EEG for the classification P-C was 0.86 at rest, 0.81 during HV and 0.92 at post-HV, whereas for R-nR the corresponding figures are 0.80, 0.78 and 0.65, respectively. Applying a fusion approach on all conditions resulted in an accuracy of 0.84 for the classification P-C and 0.76 for the classification R-nR.CONCLUSION: TMS-EEG can be used for diagnostic purposes and for assessing the response to antiepileptic drugs.SIGNIFICANCE: TMS-EEG holds significant diagnostic potential in GGE. |
DOI | 10.1016/j.clinph.2016.11.013 |
Alternate Journal | Clin Neurophysiol |
PubMed ID | 28007469 |