Each subpanel represents the connectivity strength for all seizures (sorted by duration) of a single representative channel for each patient (P1: Ch3, P2: Ch1, P3: Ch2, P4: Ch2, P6: 7, P7: Ch15, P8: Ch11, P9: Ch4, P10: Ch13, P11: Ch9, P13: Ch5, P15: Ch1). Data for all channels is provided online (https://github.com/pkaroly/Data-Driven-Estimation/tree/master/figures/connectivity). Parameters are expressed as a percentage change from their pre-ictal background values (where zero reflects no change from the pre-ictal period). The pre-ictal period was defined from two minutes to one minute before seizure onset. Red lines mark the divisions between long and short populations of seizures within bimodal subjects.</p
<p>Each row shows the data of one outcome subgroup (Engel class I: 6 patients, 14 seizures; class II...
OBJECTIVE: We introduce a method that quantifies the consistent involvement of intracranially monito...
We present the results of a model inversion algorithm for electrocorticography (ECoG) data recorded ...
Each subpanel represents the mean connectivity strength (averaged across seizures) for each patient ...
Each subpanel represents the mean connectivity strength (averaged across seizures) for all channels ...
<p>The seizure starts at time point zero. Visually determined seizure onset and termination are indi...
In this research, the study of functional connectivity between sources of electroencephalogram (EEG)...
We investigated the influence of processing steps in the estimation of multivariate directed functio...
We investigated the influence of processing steps in the estimation of multivariate directed functio...
<p>Functional connectivity was estimated by using the phase synchronization. Vertical dashed line se...
A. Histograms of seizure durations (log seconds) for the twelve patients considered in this study, w...
<p>Left column: time series of maximum linear cross correlation during a pre-ictal (top) and an inte...
<p>(<b>a</b>) Example clustering of time windows to network states during a single pre-seizure epoch...
Real-time detection and prediction of seizures in patients with epilepsy is essential for rapid inte...
The retrospective identification of preseizure states usually bases on a time-resolved characterizat...
<p>Each row shows the data of one outcome subgroup (Engel class I: 6 patients, 14 seizures; class II...
OBJECTIVE: We introduce a method that quantifies the consistent involvement of intracranially monito...
We present the results of a model inversion algorithm for electrocorticography (ECoG) data recorded ...
Each subpanel represents the mean connectivity strength (averaged across seizures) for each patient ...
Each subpanel represents the mean connectivity strength (averaged across seizures) for all channels ...
<p>The seizure starts at time point zero. Visually determined seizure onset and termination are indi...
In this research, the study of functional connectivity between sources of electroencephalogram (EEG)...
We investigated the influence of processing steps in the estimation of multivariate directed functio...
We investigated the influence of processing steps in the estimation of multivariate directed functio...
<p>Functional connectivity was estimated by using the phase synchronization. Vertical dashed line se...
A. Histograms of seizure durations (log seconds) for the twelve patients considered in this study, w...
<p>Left column: time series of maximum linear cross correlation during a pre-ictal (top) and an inte...
<p>(<b>a</b>) Example clustering of time windows to network states during a single pre-seizure epoch...
Real-time detection and prediction of seizures in patients with epilepsy is essential for rapid inte...
The retrospective identification of preseizure states usually bases on a time-resolved characterizat...
<p>Each row shows the data of one outcome subgroup (Engel class I: 6 patients, 14 seizures; class II...
OBJECTIVE: We introduce a method that quantifies the consistent involvement of intracranially monito...
We present the results of a model inversion algorithm for electrocorticography (ECoG) data recorded ...