US 11,896,390 B2
Efficacy and/or therapeutic parameter recommendation using individual patient data and therapeutic brain network maps
Zhongnan Fang, Santa Clara, CA (US); and Jin Hyung Lee, Palo Alto, CA (US)
Assigned to LVIS Corporation, Palo Alto, CA (US)
Filed by Lvis Corporation, Palo Alto, CA (US)
Filed on Nov. 9, 2018, as Appl. No. 16/186,374.
Claims priority of provisional application 62/584,669, filed on Nov. 10, 2017.
Prior Publication US 2019/0142338 A1, May 16, 2019
Int. Cl. A61B 5/00 (2006.01); G16H 20/70 (2018.01); G06N 3/08 (2023.01); G01R 33/48 (2006.01); A61B 5/245 (2021.01); A61B 5/369 (2021.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); A61B 5/372 (2021.01); A61B 5/055 (2006.01); A61B 6/00 (2006.01); G06N 3/04 (2023.01); A61B 6/03 (2006.01)
CPC A61B 5/4848 (2013.01) [A61B 5/0035 (2013.01); A61B 5/0036 (2018.08); A61B 5/055 (2013.01); A61B 5/245 (2021.01); A61B 5/369 (2021.01); A61B 5/372 (2021.01); A61B 5/4094 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 6/5247 (2013.01); G01R 33/4808 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G16H 10/60 (2018.01); G16H 20/70 (2018.01); G16H 50/20 (2018.01); A61B 6/037 (2013.01); G01R 33/4806 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A method comprising:
collecting individual patient data from a patient using an electroencephalogram (EEG) system or magnetoencephalogram (MEG) system, wherein the individual patient data includes data of a neural status of a patient, wherein the individual patient data of the neural status indicates brain regions affected by a neural event;
collecting additional data from the patient using functional magnetic resonance imaging (fMRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), or a combination thereof;
generating from the additional data, a therapeutic brain network response map of a treatment, wherein the therapeutic brain network response map indicates brain responses to the treatment, wherein generating the therapeutic brain network response map comprises aligning the additional data to a template brain, and the therapeutic brain network response map indicates a frequency of activation of brain regions affected by the treatment, average signal values of the brain regions affected by the treatment, or a combination thereof; and
predicting an efficacy of the treatment for the patient based on a comparison of the individual patient data of the neural status and the therapeutic brain network response map by a statistical prediction model for the treatment implemented by a processor executing computer-readable instructions encoded on a non-transitory medium.