Noninvasive system and method for mapping epileptic networks and surgical planning
AssigneeUniversity of South Florida
InventorsFernando Vale, Elliot George Neal
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Abstract
System and method for processing, non-concurrently collected, electroencephalogram (EEG) data and resting station functional magnetic resonance imaging (rsfMRI) data, non-invasively, to create a patient-specific three-dimensional (3D) mapping of the patient's functional brain network. The mapping can be used to more precisely identify candidates of resective neurosurgery and to help create a targeted surgical plan for those patients. The methodology automatically maps the patient's unique brain network using non-concurrent EEG and resting state functional MRI (rsfMRI). Generally, the current invention merges non-concurrent EEG data and rsfMRI data to map the patient's epilepsy/seizure network.
Claims17
A method for generating a 3D functional brain map of a patient, the method comprising:
- providing electroencephalogram (EEG) data acquired non-invasively from a patient during a first time period;
- cropping the EEG data to provide representative ictal and interictal events;
- identifying a set of regions of interest (ROIs) for each ictal and interictal event extracting median time series data from the set of ROIs for each ictal and interictal event;
- providing resting state functional magnetic resonance imaging (rsfMRI) data acquired non-invasively from the patient during a second time period, wherein the first time period is different than the second time period, and wherein the rsfMRI data comprises a set of time-series rsfMRI voxels;
- identifying a set of functional regions of interest (ROIs) for each rsfMRI voxel;
- extracting median time series data from the functional ROIs of the rsfMRI data;
- comparing the median time series for each ictal and interictal event ROI to each rsfMRI voxel time series to determine a correlation value for the voxel;
- and
- exporting 3D volumes of the voxels having correlation values exceeding a predetermined threshold to co-register the EEG data and the rsfMRI data of the patient to generate a 3D functional brain map of the patient illustrating a relationship between the ictal and interictal events of the patient and a resting state brain network of the patient.
A system for non-invasively generating a 3D functional brain map of a patient, the system comprising:
- an input for receiving electroencephalogram (EEG) data acquired non-invasively from a patient during a first time period and for receiving resting state functional magnetic resonance imaging (rsfMRI) data acquired non-invasively from the patient during a second time period, wherein the first time period is different than the second time period, and wherein the EEG data comprises ictal and interictal events and the rsfMRI data comprises a set of time-series rsfMRI data;
- at least one processor and associated software for:
- defining regions of interest (ROIs) for each ictal and interictal event;
- extracting median time series data from the rsfMRI data for each ictal and interictal event ROI;
- comparing the median time series for each ictal and interictal event ROI to each rsfMRI voxel time series to determine a correlation value for the voxel;
- and
- exporting 3D volumes of the voxels having correlation values exceeding a predetermined threshold to co-register the EEG data and the rsfMRI data of the patient to generate a 3D functional brain map of the patient illustrating a relationship between the ictal and interictal events of the patient and a resting state brain network of the patient.
A non-transitory computer readable storage media having computer-executable instructions, having computer-executable instructions for performing a method of running a software program on a computing device for the generation of a 3D functional brain map of a patient, the computing device operating under an operating system, the method including issuing instructions from the software program comprising:
- providing electroencephalogram (EEG) data acquired non-invasively from a patient during a first time period;
- cropping the EEG data to provide representative ictal and interictal events;
- identifying a set of regions of interest (ROIs) for each ictal and interictal event;
- extracting median time series data from the set of ROIs for each ictal and interictal event;
- providing resting state functional magnetic resonance imaging (rsfMRI) data acquired non-invasively from the patient during a second time period, wherein the first time period is different than the second time period, wherein the rsfMRI data comprises a set of time series rsfMRI voxels;
- and
- identifying a set of functional regions of interest (ROIs) for each rsfMRI voxel;
- extracting median time series data from the functional ROIs of the rsfMRI data;
- comparing the median time series for each ictal and interictal event ROI to each rsfMRI voxel time series to determine a correlation value for the voxel;
- and
- exporting 3D volumes of the voxels having correlation values exceeding a predetermined threshold to co-register the EEG data and the rsfMRI data of the patient to generate a 3D functional brain map of the patient illustrating a relationship between the ictal and interictal events of the patient and a resting state brain network of the patient.
Dependencies are inferred from the claim text.