Cognitive platform configured as a biomarker or other type of marker
Inventors
Bower, Jeffrey • Alailima, Titiimaea
Assignees
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Publication Number
US-12220242-B2
Publication Date
2025-02-11
Expiration Date
Abstract
Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of a neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.
Core Innovation
The invention provides a system for determining at least one marker of a neurodegenerative condition for a user of a computerized application. The system includes a user device with a graphical display and at least one sensor component configured to measure a physical action of the user both temporally and spatially, and renders a graphical user interface of the computerized application to prompt user-generated inputs measured through the sensor component.
The system executes first and second trials at first and second time intervals, where the first trial renders an instance of a primary task and an instance of the primary task with interference. The interference comprises one or more graphical objects presented at one or more time intervals during the second instance, configured to divert the user's attention from the primary task, and a subsequent trial again includes rendering the primary task with and without interference with the second interference adjusting a difficulty level in real-time in response to receiving one or more inputs from the user.
The system receives data indicative of primary responses across task instances and analyzes differences in performance from performing the primary task without the interference and with the interference to determine at least one first indicator of cognitive ability. The system generates a scoring output indicating a likelihood of onset of a neurodegenerative condition and/or a stage of progression using a first predictive model, and the scoring output includes a classification output including classifying the user as having an amyloid positive status or an amyloid negative status based on the data indicative of the primary responses.
Claims Coverage
The independent claims cover a system and an apparatus that present primary task instances with attentional interference, measure temporally and spatially resolved user action data via sensors, analyze interference-related performance differences to derive a cognitive ability indicator, and apply a predictive model to generate a scoring output that includes an amyloid positive/negative classification. Each independent claim includes four core inventive features centered on sensor-driven interfered task performance and predictive classification of neurodegenerative markers.
Interference-based primary task with temporally and spatially measured sensor data
Executing a first trial and a second trial that render instances of a primary task with interference in a graphical user interface, where interference includes one or more graphical objects configured to divert the user's attention from the primary task, and receiving data indicative of primary responses via at least one sensor component configured to measure a physical action of the user both temporally and spatially.
Real-time difficulty adjustment of attentional interference
Adjusting a difficulty level of the second interference in real-time in response to receiving one or more inputs from the user via the sensor component, wherein adjusting comprises modifying one or more of a number, speed, and size of the one or more graphical objects presented at the graphical user interface in real-time.
Cognitive ability indicator from performance differences
Analyzing one or more differences in the user's performance from performing the primary task without the interference and with the interference by determining differences between the data indicative of the first primary response, the second primary response, the third primary response, and the fourth primary response to determine at least one first indicator of the cognitive ability of the user.
Predictive scoring output with amyloid positive/negative classification
Generating a scoring output indicative of a likelihood of onset of a neurodegenerative condition and/or a stage of progression of the neurodegenerative condition based at least in part on applying a first predictive model to the at least one first indicator, wherein the scoring output comprises a classification output configured to classify the user as having an amyloid positive status or an amyloid negative status based on the data indicative of the first primary response, the second primary response, the third primary response, and the fourth primary response.
Both independent claims define an interference-based computerized cognitive application that uses temporally and spatially measured sensor data to compute performance differences, derives a cognitive ability indicator, and applies a predictive model to generate a scoring output with a likelihood of onset and/or stage progression, including an amyloid positive/negative classification based on the measured responses.
Stated Advantages
Generates a scoring output indicative of a likelihood of onset of a neurodegenerative condition and/or a stage of progression of the neurodegenerative condition.
Provides a classification output configured to classify the user as having an amyloid positive status or an amyloid negative status based on the data indicative of primary responses.
Documented Applications
Determining at least one marker of a neurodegenerative condition for a user of a computerized application, including generating a likelihood of onset and/or stage of progression and classifying amyloid positive versus amyloid negative status.
Scoring output indicating the likelihood that a user will experience an adverse event after administration of a pharmaceutical agent, drug, or biologic.
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