US 11,666,266 B2
Source localization of EEG signals
Michael Edward Sughrue, Sydney (AU); Stephane Philippe Doyen, Glebe (AU); and Peter James Nicholas, South Hurstville (AU)
Assigned to Omniscient Neurotechnology Pty Limited, Sydney (AU)
Filed by Omniscient Neurotechnology Pty Limited, Sydney (AU)
Filed on Oct. 5, 2021, as Appl. No. 17/494,803.
Prior Publication US 2023/0108267 A1, Apr. 6, 2023
Int. Cl. A61B 5/372 (2021.01); G01R 33/56 (2006.01); G01R 33/48 (2006.01); A61B 5/00 (2006.01)
CPC A61B 5/372 (2021.01) [A61B 5/7267 (2013.01); G01R 33/4806 (2013.01); G01R 33/5608 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining brain data comprising:
EEG data captured from a brain of a subject, the EEG data comprising respective channel data corresponding to each of a plurality of electrodes of an EEG sensor, and
fMRI data captured from the brain of the subject, the fMRI data comprising respective voxel data corresponding to each of a plurality of voxels, wherein the voxel data of each voxel represents a respective region of a respective parcellation in the brain of the subject;
identifying, in a three-dimensional coordinate system, a respective location for each electrode of the plurality of electrodes;
generating, using the respective identified locations of each electrode of the plurality of electrodes, data representing a location, in the three-dimensional coordinate system, of each voxel of the plurality of voxels, the generating comprising:
identifying one or more particular voxels of the plurality of voxels that correspond to a reference electrode of the plurality of electrodes of the EEG sensor, the identifying comprising:
determining, from the fMRI data, a plurality of image slices, wherein each image slice represents the brain of the subject at a different elevation along a vertical axis of the three-dimensional coordinate system;
identifying a particular image slice that represents a topmost region of the brain of the subject by processing at least some of the plurality of image slices to generate respective binarized image slices, wherein each pixel of each binarized image slice has a value that identifies whether the pixel represents the brain of the subject or not; and determining the particular image slice to be a preceding image slice, along the vertical axis, before a first image slice that does not include any pixels representing the brain of the subject;
determining a center of mass of a set of pixels of the particular image slice, where the set of pixels have been determined to represent the brain of the subject; and
determining the one or more particular voxels to include a voxel that includes the determined center of mass; and
aligning, in the three-dimensional coordinate system, the one or more particular voxels and the reference electrode of the EEG sensor;
determining, for each electrode of the plurality of electrodes, a region of interest in the three-dimensional coordinate system, wherein the region of interest of each electrode is a sphere having a predetermined size; and
identifying, for each electrode of the plurality of electrodes, one or more corresponding parcellations in the brain of the subject, wherein each parcellation that corresponds to an electrode at least partially overlaps with the region of interest of the electrode.