IP Library › Granted Patent US 12,558,540
Granted Patent B2
US 12,558,540 · App. 17/963,009 · Granted Feb 24, 2026

Functional magnetic resonance imaging brain mapping and neuromodulation guidance and monitoring based thereon

Inventors: Robert Jeremiah Matthias Hermosillo (Minneapolis, MN); Damien A. Fair (Minneapolis, MN); Eric Feczko (Minneapolis, MN); Lucille Anne Moore (Minneapolis, MN); Óscar Miranda-Domínguez (Minneapolis, MN)
Assignee: REGENTS OF THE UNIVERSITY OF MINNESOTA
A61N1/36025A61B5/0042A61B5/055
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Quick Facts
Patent No.
US 12,558,540
App. No.
17/963,009
Granted
Feb 24, 2026
Kind
B2
Abstract

Functional networks are mapped for individuals and group populations based on magnetic resonance imaging, and the resulting functional mapping data (e.g., probabilistic maps of functional networks and/or integration zones where multiple functional networks overlap and/or interact) are used to guide or otherwise monitor the delivery of neuromodulation therapies. Individual-specific functional network maps can be generated based on an overlapping template matching that is capable of assigning multiple networks to a given grayordinate.

Claims (36)

1 . A method for generating a functional network map from functional magnetic resonance image data acquired from a subject using a magnetic resonance imaging (MRI) system, the method comprising:

(a) accessing functional magnetic resonance image data with a computer system, wherein the functional magnetic resonance image data comprise a time-series of images whose voxels depict blood-oxygen-level-dependent (BOLD) signals;

(b) forming time course signal data for each grayordinate with the computer system, wherein the time course signal data are formed for each gray ordinate as BOLD signals at the grayordinate measured over the time series of images;

(c) computing a correlation matrix from the time course signal data for each grayordinate using the computer system;

(d) accessing functional network template data with the computer system, wherein the functional network template data comprise functional network templates that are each indicative of grayordinates associated with a different functional network;

(e) computing similarity values between the correlation matrix and each functional network template in the functional network template data; and

(f) generating an individual-specific functional network map with the computer system using a data-driven approach to assign multiple networks to at least one of the grayordinates based on the similarity values.

2 . The method of claim 1 , wherein the similarity values are eta-squared (η 2 ) values.

3 . The method of claim 2 , wherein generating the individual-specific functional network map with the computer system using the data-driven approach comprises:

generating a distribution of similarity values for each functional network;

computing a local minimum of the distribution for each functional network; and

assigning grayordinates above the local minimum computed for a given functional network to that functional network.

4 . The method of claim 3 , wherein the local minimum of the distribution is computed as a derivative between a first bound of the distribution and a second bound of the distribution.

5 . The method of claim 3 , wherein the distribution is a bimodal distribution.

6 . The method of claim 1 , further comprising generating an individual-specific integration zone map with the computer system by determining the functional networks associated with each grayordinate in the individual-specific functional network map and assigning grayordinates in the individual-specific integration zone map to one or more integration zones based on the functional networks associated with each grayordinate.

7 . The method of claim 6 , wherein determining the functional networks associated with each grayordinate in the individual-specific functional network map comprises determining a number of functional networks assigned to each grayordinate.

8 . The method of claim 6 , wherein the functional magnetic resonance data were acquired after a neuromodulation therapy was delivered to the subject, and further comprising measuring an efficacy of the neuromodulation therapy by comparing the individual-specific integration zone map to a reference integration zone map.

9 . The method of claim 8 , wherein the neuromodulation therapy comprises a brain stimulation therapy.

10 . The method of claim 9 , wherein the brain stimulation therapy comprises one of transcranial direct-current stimulation, transcranial alternating-current stimulation, or transcranial magnetic stimulation.

11 . The method of claim 8 , wherein the neuromodulation therapy comprises a pharmacological-based neuromodulation therapy.

12 . The method of claim 8 , wherein measuring the efficacy of the neuromodulation therapy comprises comparing the individual-specific integration zone map to the reference integration zone map on a brainordinate basis.

13 . The method of claim 12 , wherein the individual-specific integration zone map is compared to the reference integration zone map on grayordinate basis.

14 . The method of claim 8 , wherein measuring the efficacy of the neuromodulation therapy comprises comparing the individual-specific integration zone map to the reference integration zone map on an integration zone basis.

15 . The method of claim 8 , wherein the reference integration zone map comprises a second individual-specific integration zone map generated for the subject before the neuromodulation therapy was delivered to the subject.

16 . The method of claim 8 , wherein the reference functional network map comprises a second individual-specific integration zone map generated for a different subject.

17 . The method of claim 8 , wherein the reference integration zone map comprises a probabilistic integration zone map associated with a group of subjects.

18 . The method of claim 1 , wherein the functional magnetic resonance data were acquired after a neuromodulation therapy was delivered to the subject, and further comprising measuring an efficacy of the neuromodulation therapy by comparing the individual-specific functional network map to a reference functional network map.

19 . The method of claim 18 , wherein the neuromodulation therapy comprises a brain stimulation therapy.

20 . The method of claim 19 , wherein the brain stimulation therapy comprises one of transcranial direct-current stimulation, transcranial alternating-current stimulation, or

transcranial magnetic stimulation.

21 . The method of claim 18 , wherein measuring the efficacy of the neuromodulation therapy comprises comparing the individual-specific functional network map to the reference functional network map on a brainordinate basis.

22 . The method of claim 21 , wherein the individual-specific functional network map is compared to the reference functional network map on grayordinate basis.

23 . The method of claim 18 , wherein measuring the efficacy of the neuromodulation therapy comprises comparing the individual-specific functional network map to the reference functional network map on a functional network basis.

24 . The method of claim 18 , wherein the reference functional network map comprises a second individual-specific functional network map generated for the subject before the neuromodulation therapy was delivered to the subject.

25 . The method of claim 18 , wherein the reference functional network map comprises a second individual-specific functional network map generated for a different subject.

26 . The method of claim 18 , wherein the reference functional network map comprises a probabilistic functional network map associated with a group of subjects.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2023
From: HERMOSILLO, ROBERT JEREMIAH MATTHIAS; FAIR, DAMIEN A., III; FECZKO, ERIC; MOORE, LUCILLE ANNE; MIRANDA-DOMÍNGUEZ, ÓSCAR
To: REGENTS OF THE UNIVERSITY OF MINNESOTA
Reel/Frame 064633/0016 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 22, 2022
From: HERMOSILLO, ROBERT JEREMIAH MATTHIAS; FAIR, DAMIEN A.; FECZKO, ERIC; MOORE, LUCILLE ANNE; MIRANDA-DOMINGUEZ, OSCAR
To: REGENTS OF THE UNIVERSITY OF MINNESOTA
Reel/Frame 061855/0431 →
Continuity (2)
Provisional Application 63253836 · Oct 8, 2021
Related Publication 20230115330A1 · Apr 13, 2023
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