Method and apparatus for optimizing spatio-temporal patterns of neurostimulation for varying conditions

A method for delivering neurostimulation energy, the method comprising:

• providing a pattern library including:
• a plurality of fields each specifying a spatial distribution of the neurostimulation energy across the plurality of electrodes;
• and
• a plurality of waveforms each specifying a temporal pattern of the neuromodulation energy;
• providing one or more neuronal network models each being a computational model configured to allow for evaluating effects of one or more fields selected from the plurality of fields in combination with one or more waveforms selected from the plurality of waveforms in treating one or more indications for neuromodulation;
• and
• generating a spatio-temporal pattern of neurostimulation specifying a sequence of neurostimulation pulses grouped as one or more spatio-temporal units each including one or more fields selected from the plurality of fields in combination with one or more waveforms selected from the plurality of waveforms,
• wherein generating the spatio-temporal pattern of neurostimulation includes:
• constructing one or more of the plurality of fields, the plurality of waveforms, the one or more spatio-temporal units, or the spatio-temporal pattern of neurostimulation;
• and
• optimizing one or more of the plurality of fields, the plurality of waveforms, the one or more spatio-temporal units, or the spatio-temporal pattern of neurostimulation for a specified range of varying conditions using at least one neuronal network model of the one or more neuronal network models.

A non-transitory machine-readable medium including instructions, which when executed by a machine, cause the machine to:

• connect to a pattern library including:
• a plurality of fields each specifying a spatial distribution of the neurostimulation energy across the plurality of electrodes;
• and
• a plurality of waveforms each specifying a temporal pattern of the neuromodulation energy;
• connect to one or more neuronal network models each being a computational model configured to allow for evaluating effects of one or more fields selected from the plurality of fields in combination with one or more waveforms selected from the plurality of waveforms in treating one or more indications for neuromodulation;
• and
• generate a spatio-temporal pattern of neurostimulation specifying a sequence of neurostimulation pulses grouped as one or more spatio-temporal units each including one or more fields selected from the plurality of fields in combination with one or more waveforms selected from the plurality of waveforms,
• wherein the generation of the spatio-temporal pattern of neurostimulation includes:
• constructing one or more of the plurality of fields, the plurality of waveforms, the one or more spatio-temporal units, or the spatio-temporal pattern of neurostimulation;
• and
• optimizing one or more of the plurality of fields, the plurality of waveforms, the one or more spatio-temporal units, or the spatio-temporal pattern of neurostimulation for a specified range of varying conditions using at least one neuronal network model of the one or more neuronal network models.