Method and system for locating seizure focus from interictal data
AssigneeChildren's Medical Center Corporation
InventorsJoseph R. Madsen, Eun-Hyoung Park
Life of this patent
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Abstract
Methods and systems for identifying epileptogenic regions of the brain and locating seizure foci can use only interictal EEG data. These methods and systems enable a physician to locate seizure foci without having to wait for a patient to experience a seizure and have it recorded. A network causality analysis can be applied to the interictal EEG data to determine the causal nodes, the nodes influenced by the causal nodes and the causal connection or link between the nodes. The most influential causal nodes can be ranked and used to generate a map of causal links in the brain networks to accelerate the identification of the epileptogenic regions of the brain and the location seizure focus.
Claims13
A method for treating epileptic seizures comprising:
- monitoring interictal EEG signals from a plurality of nodes associated with locations in the brain and recording the interictal EEG signals as interictal EEG data;
- analyzing the interictal EEG data for two or more nodes to determine a causal influence of each of the two or more nodes;
- ranking the nodes according to causal influence;
- resecting a portion of the brain that corresponds to location of the causal nodes having a highest rank of causal influence based on the interictal EEG data.
A system for treating epileptic seizures from interictal EEG data comprising:
- a grid of electrodes for sensing interictal EEG signals, each electrode corresponding to a node location;
- an interictal EEG signal collection system connected to the grid of electrodes for receiving the interictal EEG signals and storing interictal EEG data representative of the interictal EEG signals;
- and
- the interictal EEG signal collection system including a computer processor and associated memory and having at least one program that analyzes the interictal EEG data for two or more node locations and determines based on the interictal EEG data a measure of causal influence of each node of the two or more nodes and an indication of causal connectivity between each of the nodes.
Dependencies are inferred from the claim text.