公开(公告)号：US20190239818A1

公开(公告)日：2019-08-08

申请号：US16383926

申请日：2019-04-15

Applicant: Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

Inventor： Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

IPC: A61B5/00 ,  A61B5/04 ,  A61B5/053 ,  A61B5/055

CPC classification number: A61B5/7246 ,  A61B5/0022 ,  A61B5/0042 ,  A61B5/04001 ,  A61B5/0536 ,  A61B5/055 ,  A61B5/4064 ,  A61B5/742

Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

公开(公告)号：US20190015050A1

公开(公告)日：2019-01-17

申请号：US16136996

申请日：2018-09-20

Applicant: Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

Inventor： Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

IPC: A61B5/00 ,  A61B5/055 ,  A61B5/04 ,  A61B5/053

Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

公开(公告)号：US20200237316A9

公开(公告)日：2020-07-30

申请号：US16383926

申请日：2019-04-15

Applicant: Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

Inventor： Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

IPC: A61B5/00 ,  A61B5/04 ,  A61B5/053 ,  A61B5/055

Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

公开(公告)号：US20190090749A1

公开(公告)日：2019-03-28

申请号：US16141605

申请日：2018-09-25

Applicant: Eric Leuthardt ,  Carl Hacker ,  Shan Siddiqi ,  Tim Laumann ,  Andy Daniel

Inventor： Eric Leuthardt ,  Carl Hacker ,  Shan Siddiqi ,  Tim Laumann ,  Andy Daniel

IPC: A61B5/00 ,  A61B34/10 ,  A61B5/055 ,  G06K9/62

Abstract: A method for determining a target location for a therapeutic intervention in a subject with a neurological disorder is disclosed that includes selecting the target location within at least one resting state network (RSN) map according to a predetermined criterion for the neurological disorder. Each of the at least one RSN maps 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. A method for monitoring an efficacy of a therapeutic intervention in a subject with a neurological disorder is also disclosed that includes comparing at least a portion of at least one pre-treatment RSN map of the subject prior to the therapeutic intervention, at least one post-treatment RSN map of the subject after the therapeutic intervention to determine changes in the at least one post-treatment RSN map. The method for monitoring the efficacy of the therapeutic intervention efficacy also includes determining the efficacy of the therapeutic intervention based on the identified changes according to an efficacy criterion. In addition, a method for selecting a seed region for use in a seed-based cortical functional mapping method is disclosed that includes selecting a contiguous subset of the functional voxels probability of membership in the RSN above a threshold value from at least one RSN map of at least one subject as the seed region.

公开(公告)号：US11704790B2

公开(公告)日：2023-07-18

申请号：US16141605

申请日：2018-09-25

Applicant: Eric Leuthardt ,  Carl Hacker ,  Shan Siddiqi ,  Tim Laumann ,  Andy Daniel

Inventor： Eric Leuthardt ,  Carl Hacker ,  Shan Siddiqi ,  Tim Laumann ,  Andy Daniel

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

CPC classification number: G06T7/0012 ,  A61B5/0042 ,  A61B5/055 ,  A61B5/4064 ,  A61B34/10 ,  G06F18/213 ,  G06F18/2178 ,  G06F18/2415 ,  G06F18/24133 ,  G06N3/00 ,  G06V10/764 ,  G16H30/40 ,  G16H50/20 ,  A61B5/4848 ,  A61B5/7267 ,  A61B2034/107 ,  A61B2576/026 ,  G01R33/4806 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06V2201/031 ,  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.

公开(公告)号：US10258289B2

公开(公告)日：2019-04-16

申请号：US16136996

申请日：2018-09-20

Applicant: Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

Inventor： Eric Leuthardt ,  Nicholas Szrama ,  Carl Hacker ,  Tim Laumann ,  Maurizio Corbetta ,  Abraham Z. Snyder

IPC: A61B5/00 ,  A61B5/04 ,  A61B5/055 ,  A61B5/053

Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.