Stochastic-switched noise stimulation for identification of input-output brain network dynamics and closed loop control

Abstract

Time-efficient identification of a brain network input-output (IO) dynamics model for brain stimulation includes generating an input stochastic-switched noise-modulated waveform characterized by at least one parameter modulated according to a stochastic-switched noise sequence, inputting the input stochastic-switched noise-modulated waveform to a clinical brain-response system, recording one or more time-correlated outputs of the clinical brain-response system responsive to the input stochastic-switched noise-modulated waveform, and identifying a brain network IO dynamics model that optimally correlates the input stochastic-switched noise-modulated waveform to the one or more time-delimited outputs of the clinical brain-response system. A desired brain response to an input electrical signal may be obtained using the model, such as by modulating the input electrical signal using a closed-loop control algorithm based on the brain network IO dynamics model.

1 . A closed-loop control method for causing a desired brain response to an input electrical signal, comprising:
 providing an input electrical signal to a true brain system via at least one input electrode;   detecting a response of the true brain system to the input electrical signal via at least one output electrode;   comparing the response to a desired brain response; and   modulating the input electrical signal, according to a closed-loop control algorithm based on a brain network IO dynamics model for brain stimulation developed by correlating a stochastic-switched noise-modulated waveform input to the true brain system output, until the response matches the desired brain response.   
     
     
         2 . The method of  claim 1 , wherein the brain network IO dynamics model optimally correlates the input stochastic-switched noise-modulated waveform to the true brain system output. 
     
     
         3 . The method of  claim 1 , wherein the desired brain response mitigates a neuropathic condition. 
     
     
         4 . The method of  claim 1 , wherein the desired brain response heightens a brain performance parameter. 
     
     
         5 . An apparatus for causing a desired brain response to an input electrical signal, comprising a processor coupled to a memory and to a waveform generator, the memory holding instructions that when executed by the processor cause the apparatus to perform:
 providing an input electrical signal to a true brain system via at least one input electrode;   detecting a response of the true brain system to the input electrical signal via at least one output electrode;   comparing the response to a desired brain response; and   modulating the input electrical signal, according to a closed-loop control algorithm based on a brain network IO dynamics model for brain stimulation developed by correlating a stochastic-switched noise-modulated waveform input to the true brain system output, until the response matches the desired brain response.   
     
     
         6 . The apparatus of  claim 5 , wherein the memory holds further instructions for identifying the brain network IO dynamics model by optimally correlating the input stochastic-switched noise-modulated waveform to the true brain system output.