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US 11,896,390 B2Granted
Efficacy and/or therapeutic parameter recommendation using individual patient data and therapeutic brain network maps
AssigneeLVIS Corporation
InventorsZhongnan Fang, Jin Hyung Lee
Life of this patent
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Abstract
Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.
Claims24
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.
2 more elements
A system comprising:
- at least one processor;
- and
- computer readable media encoded with instructions that, when executed by the at least one processor, cause the system to:
- provide image data of a neural status of a patient, wherein the image data indicates brain regions affected by a neural event and a therapeutic brain network response map, wherein the therapeutic brain network response map indicates brain responses to a treatment, as inputs to a statistical prediction model for the treatment, wherein 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
- predict an efficacy of the treatment using the statistical prediction model, wherein the efficacy predicted is based, at least in part, on a comparison of the image data and the therapeutic brain network response map.
3 more elements
Dependencies are inferred from the claim text.