US 12,437,878 B2
Data processing system for generating predictions of cognitive outcome in patients
Bradford Mahon, Pittsburgh, PA (US); Keith Parkins, Rochester, NY (US); Max Sims, Rochester, NY (US); Benjamin Chernoff, Pittsburgh, PA (US); and Hugo Angulo-Orquera, Pittsburgh, PA (US)
Assigned to Carnegie Mellon University, Pittsburgh, PA (US)
Appl. No. 17/272,603
Filed by Carnegie Mellon University, Pittsburgh, PA (US)
PCT Filed Dec. 2, 2019, PCT No. PCT/US2019/064015
§ 371(c)(1), (2) Date Mar. 1, 2021,
PCT Pub. No. WO2020/113221, PCT Pub. Date Jun. 4, 2020.
Claims priority of provisional application 62/917,258, filed on Dec. 1, 2018.
Prior Publication US 2021/0375480 A1, Dec. 2, 2021
Int. Cl. A61B 5/372 (2021.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 5/24 (2021.01); A61B 34/10 (2016.01); G01R 33/48 (2006.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/30 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 15/00 (2018.01)
CPC G16H 50/70 (2018.01) [A61B 5/0042 (2013.01); A61B 5/0077 (2013.01); A61B 5/055 (2013.01); A61B 5/24 (2021.01); A61B 5/372 (2021.01); A61B 5/4064 (2013.01); A61B 5/7267 (2013.01); A61B 34/10 (2016.02); G01R 33/4806 (2013.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/30 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); A61B 2034/105 (2016.02); A61B 2034/107 (2016.02); G16H 15/00 (2018.01)] 24 Claims
OG exemplary drawing
 
1. A system for outputting a visual representation of a brain of a patient, the system comprising:
at least one sensor configured to generate sensor data measuring a behavior or phenomenology of the patient associated with at least one region of the brain of the patient, the measuring being when the patient is performing at least one of a cognitive task, a sensory task, or a motor task associated with the at least one region of the brain of the patient;
a data storage storing mapping data that maps a prediction value to the at least one region of the brain, the prediction value being indicative of an effect on a behavior of the patient responsive to a treatment of the at least one region of the brain of the patient, the mapping data being indexed to a patient identifier; and
at least one processing device configured to receive the sensor data from the at least one sensor, the at least one processing device configured to perform operations comprising:
retrieving the mapping data indexed to the patient identifier;
receiving, responsive to stimulation to the at least one region of the brain, sensor data measuring an additional behavior or phenomenology of the patient related to the at least one of the cognitive task, the sensory task, or the motor task associated with the at least one region of the brain of the patient;
measuring an additional behavior or phenomenology of the patient, related to at least one of a cognitive task, a sensory task, or a motor task, for the at least one region of the brain of the patient;
executing a model that updates, based on the sensor data, the prediction value for the at least one region of the brain;
updating, responsive to executing the model, the mapping data by including the updated prediction value in the mapping data; and
outputting, a visual representation of the updated mapping data comprising the updated prediction value,
wherein the at least one region of the brain corresponds to a voxel of a magnetic resonance imaging (MRI) image.