Targeting individuals with optimal safe and effective doses by applying complex adaptive systems metrology to functional brain imaging data and other action variable data

A complex adaptive systems metrology (CASM) system for processing functional brain image data, the system comprising:

• at least one processing device;
• and
• memory storing instructions that when executed cause the at least one processing device to perform operations comprising:
• receiving multivariate time-series functional brain imaging data associated with a subject including multivariate time-series action variables representing the subject;
• pre-processing the multivariate time-series functional brain imaging data;
• digitizing each time-series action variable in the pre-processed multivariate time-series functional brain imaging data that has more than two levels to a set of digital time series comprised of zeros and ones to generate analysis parameters;
• computing, based on the digitized multivariate time-series functional brain imaging data and the analysis parameters, temporal-interaction scores that quantify evidence for functional or effective connectivity between regions of interest in the brain;
• and
• generating, for a diagnosis or a treatment response, temporal-interaction phenotypes based on the temporal-interaction scores that account for complexity, adaptivity, and non-linearity in the connectivity between regions of interest in the brain of the subject.

A computer-implemented complex adaptive systems metrology (CASM) method for processing functional brain image data, the method being executed by at least one processing device and memory storing instructions that when executed by the at least one processing device cause the at least one processing device to perform operations comprising:

• receiving multivariate time-series functional brain imaging data associated with a subject including multivariate time-series action variables representing the subject;
• pre-processing the multivariate time-series functional brain imaging data;
• digitizing each time-series action variable in the pre-processed multivariate time-series functional brain imaging data that has more than two levels to a set of digital time series comprised of zeros and ones to generate analysis parameters;
• computing, based on the digitized multivariate time-series functional brain imaging data and the analysis parameters, temporal-interaction scores that quantify evidence for functional or effective connectivity between regions of interest in the brain;
• and
• generating, for a diagnosis or a treatment response, temporal-interaction phenotypes based on the temporal-interaction scores that account for complexity, adaptivity, and non-linearity in the connectivity between regions of interest in the brain of the subject.

A non-transitory computer-readable medium for a complex adaptive systems metrology (CASM) for processing functional brain image data, comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• receiving multivariate time-series functional brain imaging data associated with a subject, the multivariate time-series functional brain imaging data including multivariate time-series action variables representing the subject and time-series information about aspects corresponding to an environment associated with the multivariate time-series functional brain imaging data;
• pre-processing the multivariate time-series functional brain imaging data;
• digitizing each time-series action variable in the pre-processed multivariate time-series functional brain imaging data that has more than two levels to a set of digital time series comprised of zeros and ones to generate analysis parameters;
• computing, based on the digitized multivariate time-series functional brain imaging data and the analysis parameters, temporal-interaction scores and temporal-interaction benefit-and-harm scores that quantify evidence for functional or effective connectivity between regions of interest in the brain;
• and
• generating, for a diagnosis or a treatment response and based on the environment associated with the multivariate time-series functional brain imaging data, temporal-interaction phenotypes based on the temporal-interaction scores and on the temporal-interaction benefit-and-harm scores that account for complexity, adaptivity, and non-linearity in the connectivity between regions of interest in the brain of the subject.