IP Library Granted Patent US 9,480,425
Granted Patent B2
US 9,480,425 · App. 12/425,743 · Granted Nov 1, 2016

Task-less optical mapping of dynamic brain function using resting state functional connectivity

Inventors: Joseph P. Culver (Webster Groves, MO); Brian R. White (Clayton, MO); Bradley L. Schlaggar (St. Louis, MO); Abraham Z. Snyder (St. Louis, MO); Marcus E. Raichle (Warson Woods, MO); Michael D. Fox (St. Louis, MO); Justin L. Vincent (Somerville, MA)
Assignee: WASHINGTON UNIVERSITY
A61B5/14553A61B5/4064A61B5/0042A61B5/0059A61B2018/2261A61B2562/0233A61B2562/046
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Quick Facts
Patent No.
US 9,480,425
App. No.
12/425,743
Granted
Nov 1, 2016
Kind
B2
Abstract

A method for utilizing an optical system for mapping brain function includes determining a time series of light intensity measurements for spatially distributed source and detector pairs, receiving light measurements over a period of time, and producing at least one map of a respective strength of each of a plurality of temporal correlations, wherein the temporal correlations are based on the time series of the spatially distributed source and detector pairs and the light measurements.

Claims (42)

1. A method for utilizing a diffuse optical tomography (DOT) system including a plurality of spatially distributed source-detector pairs for taskless mapping of brain function, the method comprising:

determining a time series of dynamic light measurements for the plurality of spatially distributed source-detector pairs;

receiving the dynamic light measurements over a period of time using the source-detector pairs;

generating a plurality of temporal correlations between regions of a brain for the dynamic light measurements based on the time series of the spatially distributed source-detector pairs and the received dynamic light measurements, wherein one of the plurality of temporal correlations corresponds to one of the time series such that each time series has a corresponding correlation coefficient;

producing at least one map of a respective strength of each of the plurality of temporal correlations; and

producing overlapping source-detector pairs measurements using DOT geometries;

reconstructing data representative of the dynamic light measurements into an image space using at least one DOT algorithm;

co-registering DOT voxel images obtained by the reconstruction to anatomical information;

determining at least one resting-state neural activity driven functional connection between a first region of the brain and a second region of the brain based on the dynamic light measurements and the plurality of temporal correlations, wherein the dynamic light measurements and the plurality of temporal correlations do not depend on either a task or a change in physiological condition.

2. The method of claim 1 , wherein receiving the dynamic light measurements comprises recording fluctuations in one of light absorption, scattering fluorescence, and coherence optical contrasts.

3. The method of claim 2 , wherein receiving the dynamic light measurements further comprises receiving the dynamic light measurements one of invasively and non-invasively.

4. The method of claim 3 , wherein receiving the dynamic light measurements further comprises receiving one of time resolved measurements, frequency domain measurements, and continuous wave measurements.

5. The method of claim 1 , wherein receiving the dynamic light measurements comprises receiving the dynamic light measurements using planar reflectance geometry.

6. The method of claim 1 , wherein receiving the dynamic light measurements comprises receiving the dynamic light measurements using one of a raster-scanning source-detector pair and a plurality of discrete spatially distributed independent source-detector pairs.

7. The method of claim 1 , further comprising obtaining a cortical surface image and mapping DOT voxel images obtained by the reconstruction onto the cortical surface image.

8. The method of claim 1 , wherein generating the plurality of temporal correlations between regions of the brain further comprises generating the plurality of temporal correlations using a correlation analysis that is interpreted as a map of resting-state functional connections.

9. The method of claim 8 , further comprising removing extraneous global correlation structures prior to mapping the resting-state functional connections.

10. The method of claim 9 , wherein removing extraneous global correlation structures comprises removing the extraneous global correlation structures using one of averaged subsets of the measurements obtained by the plurality of source-detector pairs and regions of interest within an image.

11. The method of claim 10 , wherein removing global correlation structures comprises removing the extraneous global correlation structures using one of physiological monitoring and signals derived from alternative imaging modalities.

12. The method of claim 1 , wherein generating the plurality of temporal correlations between regions of the brain further comprises generating the plurality of temporal correlations using a correlation analysis based on a plurality of seed regions.

13. The method of claim 12 , further comprising performing the correlation analysis using a comprehensive search of a plurality of voxels as seed regions, and ranking the correlated seed regions.

14. The method of claim 1 , further comprising generating the plurality of temporal correlations between regions of the brain using a data-driven correlation analysis using one of a principal components analysis and an independent component analysis.

15. The method of claim 1 , further comprising combining attenuation data and measurements into at least one of hemoglobin concentrations and scattering contrasts.

16. A diffuse optical tomography (DOT) system for taskless mapping of brain function, the system comprising:

a plurality of spatially distributed source-detector pairs, the source-detector pairs configured to receive light measurements over a period of time; and

a computer coupled to a display and to the plurality of source-detector pairs, the computer configured to:

determine a time series of dynamic light measurements for the plurality of source-detector pairs;

generate a plurality of temporal correlations between regions of a brain for the dynamic light measurements based on the time series of the spatially distributed source-detector pairs and the received dynamic light measurements, wherein one of the plurality of temporal correlations corresponds to one of the time series such that each time series has a corresponding correlation coefficient;

produce at least one map of a respective strength of each of the plurality of temporal correlations; and

produce overlapping source-detector pairs measurements using DOT geometries;

reconstruct data representative of the dynamic light measurements into an image space using at least one DOT algorithm;

co-register DOT voxel images obtained by the reconstruction to anatomical information;

determine at least one resting-state neural activity driven functional connection between a first region of the brain and a second region of the brain based on the dynamic light measurements and the plurality of temporal correlations, wherein the dynamic light measurements and the plurality of temporal correlations do not depend on either a task or a change in physiological condition.

17. A computer program embodied on a non-transitory computer readable medium for taskless mapping of brain function using a diffuse optical tomography (DOT) system including a plurality of spatially distributed source-detector pairs, the computer program comprising at least one code segment that configures a processor to:

determine a time series of dynamic light measurements for the plurality of spatially distributed source-detector pairs;

receive dynamic light measurements over a period of time;

generate a plurality of temporal correlations between regions of a brain for the dynamic light measurements based on the time series of the spatially distributed source-detector pairs and the received dynamic light measurements, wherein one of the plurality of temporal correlations corresponds to one of the time series such that each time series has a corresponding correlation coefficient;

produce at least one map of a respective strength of each of the plurality of temporal correlations; and

produce overlapping source-detector pairs measurements using DOT geometries;

reconstruct data representative of the dynamic light measurements into an image space using at least one DOT algorithm;

co-register DOT voxel images obtained by the reconstruction to anatomical information;

determine at least one resting-state neural activity driven functional connection between a first region of the brain and a second region of the brain based on the dynamic light measurements and the plurality of temporal correlations, wherein the dynamic light measurements and the plurality of temporal correlations do not depend on either a task or a change in physiological condition.

Assignments (2)
CONFIRMATORY LICENSE Recorded Mar 30, 2017
From: WASHINGTON UNIVERSITY
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 042114/0680 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 30, 2016
From: CULVER, JOSEPH P.; WHITE, BRIAN R.; SCHLAGGAR, BRADLEY L.; SNYDER, ABRAHAM Z.; RAICHLE, MARCUS E.; FOX, MICHAEL D.; VINCENT, JUSTIN L.
To: WASHINGTON UNIVERSITY
Reel/Frame 039903/0079 →
Continuity (2)
Provisional Application 61045855 · Apr 17, 2008
Related Publication 20090292210A1 · Nov 26, 2009