Identifying the epileptogenic zone from nonseizure recordings using network fragility theory

A non-transitory computer-readable medium for identifying an epileptogenic zone of a subject's brain comprising computer-executable code, said code when executed by a computer causes the computer to:

• receive a plurality N of electrical signals that extend over a duration, each of the plurality N of physiological brain signals acquired from said subject's brain;
• calculate within a time window a state transition matrix based on at least a portion of each of said plurality N of physiological brain signals, wherein the state transition matrix is a linear time invariant model of a network of N nodes corresponding to the plurality N of physiological brain signals;
• calculate, for each of the plurality N of physiological brain signals, a minimum norm of a perturbation on the state transition matrix that causes the network to transition from a stable state to an unstable state;
• and
• assign a fragility metric to each of said plurality N of physiological brain signals based on the minimum norm of the perturbation for that physiological brain signal.

A system for identifying an epileptogenic zone of a subject's brain comprising a computer configured to:

• receive a plurality N of physiological brain signals that extend over a duration, each of the plurality N of physiological brain signals acquired from said subject's brain;
• calculate within a time window a state transition matrix based on at least a portion of each of said plurality N of physiological brain signals, wherein the state transition matrix is a linear time invariant model of a network of N nodes corresponding to the plurality N of physiological brain signals;
• calculate, for each of the plurality N of physiological brain signals, a minimum norm of a perturbation on the state transition matrix that causes the network to transition from a stable state to an unstable state;
• assigning a fragility metric to each of said plurality N of physiological brain signals based on the minimum norm of the perturbation for that physiological brain signal.