Methods and apparatus for using brain imaging to predict performance

Inventors

Gallacher, Benjamin J. A.Cook, Douglas J.

Assignees

Voxel AI Inc

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Publication Number

US-11737670-B2

Patent

Publication Date

2023-08-29

Expiration Date


Abstract

Methods and apparatus for predicting performance of an individual on a task, the method comprises receiving brain imaging data for the individual, wherein the brain imaging data comprises structural brain data, determining values for at least one characteristic of the structural brain data within regions of interest defined for a population of individuals having different performance levels, and predicting based on the determined values, a performance potential of the individual.

Core Innovation

The invention identifies brain regions that predict differences in task performance by using brain imaging data from a reference cohort. The brain imaging data includes structural brain data that characterizes a static state of a brain and physiological brain data that characterizes a dynamic state of the brain. Functional skill data is received for each individual in the reference cohort and indicates a performance score for one or more tasks.

The invention determines, based at least in part on at least one first characteristic of the structural brain data, at least one second characteristic of the physiological brain data, and the functional skill data, brain regions associated with differences in performance on the one or more tasks. The determined brain regions are output as a set of predictive regions of interest.

The invention introduces a structural-functional unit as brain regions connected by white-matter tracts and performs ROI screening within structural-functional units. It further includes numerical comparisons between well-performing and poorly-performing individuals to generate voxel-level prediction strengths, and it supports iterative ROI refinement while holding structure versus physiology constant.

Claims Coverage

The provided independent claims are clm-00001 and clm-00006. Each independent claim includes four core inventive elements.

Structural and physiological brain imaging data with functional skill performance scoring

Receiving brain imaging data for each of a plurality of individuals in a reference cohort, wherein the brain imaging data comprises structural brain data characterizing a static state of a brain and physiological brain data characterizing a dynamic state of the brain; receiving functional skill data for each of the plurality of individuals in the reference cohort, wherein the functional skill data indicates a performance score for each of the plurality of individuals on one or more tasks.

Performance-difference brain regions based on structural and physiological characteristics

Determining, based, at least in part, on at least one first characteristic of the structural brain data, at least one second characteristic of the physiological brain data, and the functional skill data, brain regions associated with differences in performance on the one or more tasks.

Predictive regions of interest output

Outputting the determined brain regions as a set of predictive regions of interest.

Computer-implemented method for identifying predictive brain regions

A computer-implemented method for identifying brain regions that predict differences in task performance, comprising receiving structural and physiological brain imaging data from a reference cohort, receiving functional skill performance scores for one or more tasks, determining performance-difference-associated brain regions based on structural and physiological characteristics and functional skill data, and outputting the determined brain regions as a set of predictive regions of interest.

Across both independent claims, the inventive coverage centers on identifying brain regions predictive of task-performance differences by combining structural brain data and physiological brain data from a reference cohort with functional skill performance scores, determining brain regions associated with performance differences, and outputting predictive regions of interest.

Stated Advantages

Not explicitly described in patent.

Documented Applications

Not explicitly described in patent.

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