fragilityRow

The matrix A is used for the regression: A * x(t) = x(t+1)

Provides tools to compute the neural fragility matrix from intracranial electrocorticographic (iEEG) recordings, enabling the analysis of brain dynamics during seizures. The package implements the method described by Li et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for data preprocessing (`Epoch`), fragility computation (`calcAdjFrag`), and visualization.

Jiefei Wang

EZFragility

Compute Neural Fragility for Ictal iEEG Time Series

Anne-Cecile Lesage

Ioannis Malagaris

Oliver Zhou

Liliana Camarillo Rodriguez

Sean O'Leary

Patrick Karas

fragilityRow function

<dl><dt>A</dt>
<dd>Numeric. Adjacency Matrix</dd>
<dt>nSearch</dt>
<dd>Integer. Number of eigenvalues tried to find the minimum norm vector</dd>
<dt>normalize</dt>
<dd>Logical. If TRUE, the fragility row is normalized</dd></dl>

Arguments

Compute the normalized fragility row for adjacency matrix A — fragilityRow

<dl>

<dt>A</dt>
<dd>Numeric. Adjacency Matrix</dd>


<dt>nSearch</dt>
<dd>Integer. Number of eigenvalues tried to find the minimum norm vector</dd>


<dt>normalize</dt>
<dd>Logical. If TRUE, the fragility row is normalized</dd>

</dl>

fragilityRow: Compute the normalized fragility row for adjacency matrix A

Description

Usage

Arguments