Invention Grant
- Patent Title: Supervised classifier for optimizing target for neuromodulation, implant localization, and ablation
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Application No.: US16141605Application Date: 2018-09-25
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Publication No.: US11704790B2Publication Date: 2023-07-18
- Inventor: Eric Leuthardt , Carl Hacker , Shan Siddiqi , Tim Laumann , Andy Daniel
- Applicant: Eric Leuthardt , Carl Hacker , Shan Siddiqi , Tim Laumann , Andy Daniel
- Applicant Address: US MO St. Louis
- Assignee: Washington University
- Current Assignee: Washington University
- Current Assignee Address: US MO St. Louis
- Agency: Armstrong Teasdale LLP
- Main IPC: A61B5/00
- IPC: A61B5/00 ; G06T7/00 ; A61B34/10 ; A61B5/055 ; G16H30/40 ; G06N3/00 ; G16H50/20 ; G06F18/213 ; G06F18/21 ; G06F18/2415 ; G06F18/2413 ; G06V10/764 ; G01R33/48 ; G16H20/40

Abstract:
A target location for a therapeutic intervention is determined in a subject with a neurological disorder. The target location is selected within at least one resting state network (RSN) map according to a predetermined criterion for the neurological disorder. The at least one RSN map includes a plurality of functional voxels within a brain of the subject, and each functional voxel of the plurality of functional voxels is associated with a probability of membership in an RSN. Instructions are transmitted to a treatment system that cause operation to be performed on the selected target location.
Public/Granted literature
- US20190090749A1 SUPERVISED CLASSIFIER FOR OPTIMIZING TARGET FOR NEUROMODULATION, IMPLANT LOCALIZATION, AND ABLATION Public/Granted day:2019-03-28
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