US 12,285,222 B2
Systems and methods for targeted neuromodulation
Nolan R. Williams, Incline Village, NV (US); and Adi Maron-Katz, Sunnyvale, CA (US)
Assigned to The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US)
Filed by The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US)
Filed on Nov. 21, 2023, as Appl. No. 18/516,387.
Application 18/516,387 is a continuation of application No. 17/499,781, filed on Oct. 12, 2021, granted, now 11,857,275, issued on Jan. 2, 2024.
Claims priority of provisional application 63/090,680, filed on Oct. 12, 2020.
Prior Publication US 2024/0081920 A1, Mar. 14, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G01R 33/48 (2006.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 34/20 (2016.01); A61N 1/20 (2006.01); A61N 1/36 (2006.01); A61N 2/00 (2006.01); G01R 33/56 (2006.01)
CPC A61B 34/20 (2016.02) [A61B 5/0036 (2018.08); A61B 5/055 (2013.01); A61N 1/20 (2013.01); A61N 1/36096 (2013.01); A61N 2/006 (2013.01); G01R 33/4806 (2013.01); G01R 33/5608 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating personalized neurostimulation targets, comprising:
obtaining patient brain data, where the patient brain data comprises a structural magnetic resonance imaging (sMRI) scan and at least one functional magnetic resonance imaging (fMRI) scan of a patient's brain, where the sMRI scan and the at least one fMRI scan each comprise a plurality of voxels;
assigning a plurality of pairs of voxels in the fMRI scan to a large-scale brain network from a plurality of large-scale brain networks;
calculating a functional connectivity score for each pair of the plurality of pairs of voxels;
for each given voxel in the plurality of voxels:
calculating a first average functional connectivity score as the average of functional connectivity scores from given pairs of voxels in the plurality of pairs of voxels where the given voxel is in the given pair of voxels and where each voxel in the given pair of voxels is within the same large-scale brain network;
calculating a second average functional connectivity score as the average of functional connectivity scores from given pairs of voxels in the plurality of pairs of voxels where the given voxel is in the given pair of voxels and where each voxel in the given pair of voxels is from a different large-scale brain network; and
calculating a network fit for the given voxel by subtracting the second average functional connectivity score from the first assigned functional connectivity score;
calculating a network quality control metric as an average of all the network fits;
identifying the fMRI scan as passing a quality control test when the network quality control metric is above a threshold, and as failing the quality control test when the network quality control metric is below the threshold;
generating a neurostimulation target based upon the fMRI scan when the quality control test is passed; and
discarding the fMRI scan when the quality control test is failed.