Abstract：
:Recent evidence suggests that some seizures are preceded by preictal changes that start from minutes to hours before an ictal event. Nevertheless an adequate statistical evaluation in a large database of continuous multiday recordings is still missing. Here, we investigated the existence of preictal changes in long-term intracranial recordings from 53 patients with intractable partial epilepsy (in total 531 days and 558 clinical seizures). We describe a measure of brain excitability based on the slow modulation of high-frequency gamma activities (40-140 Hz) in ensembles of intracranial contacts. In prospective tests, we found that this index identified preictal changes at levels above chance in 13.2% of the patients (7/53), suggesting that results may be significant for the whole group (p < 0.05). These results provide a demonstration that preictal states can be detected prospectively from EEG data. They advance understanding of the network dynamics leading to seizure and may help develop novel seizure prediction algorithms.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Alvarado-Rojas C,Valderrama M,Fouad-Ahmed A,Feldwisch-Drentrup H,Ihle M,Teixeira CA,Sales F,Schulze-Bonhage A,Adam C,Dourado A,Charpier S,Navarro V,Le Van Quyen Mdoi
10.1038/srep04545subject
Has Abstractpub_date
2014-04-01 00:00:00pages
4545issn
2045-2322pii
srep04545journal_volume
4pub_type
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