Technique to improve deep brain stimulation targeting during intraoperative microelectrode recordings

Abstract

A method of localizing brain regions for the purpose of guiding placement of electrodes and related implants is disclosed. The inventive method involves effecting a pulse in a patient's brain, temporally aligning readings taken from an electrode at various depths, measuring local field potentials at each depth during interstimulus intervals, performing a coherence analysis comparing the local field potential measurements of the different depths, and determining a corresponding brain region for the depths compared.

1 . A method for localizing brain regions of a patient, comprising the steps of:
 i) providing a first set of stimulus pulses to the patient's brain at a first location;   ii) recording a first dataset, including a first set of local field potentials, produced in response to said first set of stimulus pulses;   iii) providing a second set of stimulus pulses to the patient's brain at a second location which is spaced a distance from said first location;   iv) recording a second dataset, including a second set of local field potentials, produced in response to said second set of stimulus pulses;   v) calculating frequency domain coherence values from said first set of local field potentials and said second set of local field potentials;   vi) recording said frequency domain coherence values in a comparison dataset;   vii) analyzing said comparison dataset to obtain analysis results; and   viii) using said analysis results to estimate at least one of said first location and said second location with respect to its functional location in the patient's brain.   
     
     
         2 . The method of  claim 1 , wherein step i) is performed by placing an electrode in the patient's brain at said first location. 
     
     
         3 . The method of  claim 2 , further comprising the step of moving said electrode from said first location to said second location. 
     
     
         4 . The method of  claim 2 , further comprising the step of temporally aligning said first dataset and said second dataset with at least one of said first set of stimulus pulses and said second set of stimulus pulses, whereby said second dataset and said first dataset are aligned with one another. 
     
     
         5 . The method of  claim 2 , wherein said electrode comprises a single track for recording. 
     
     
         6 . The method of  claim 2 , wherein said electrode comprises tungsten. 
     
     
         7 . The method of  claim 1 , wherein step i) comprises placing an electrode array in the patient's brain. 
     
     
         8 . The method of  claim 7 , wherein said array comprises a brain-machine-interface. 
     
     
         9 . The method of  claim 1 , wherein said analyzing step comprises comparing said comparison dataset to reference SPACER patterns. 
     
     
         10 . The method of  claim 9 , wherein step viii) is performed when said comparison data sufficiently corresponds to said reference SPACER patterns. 
     
     
         11 . The method of  claim 1 , wherein said first set of local field potentials and said second set of local field potentials are recorded during interstimulus intervals of said first set of stimulus pulses and second set of stimulus pulses, respectively. 
     
     
         12 . The method of  claim 1 , wherein said distance between said first location and said second location is approximately 100 μm. 
     
     
         13 . The method of  claim 1 , wherein said first set of stimulus pulses and said second set of stimulus pulses have amplitudes of 100 μA or lower. 
     
     
         14 . (canceled) 
     
     
         15 . The method of  claim 1 , wherein said first set of stimulus pulses and said second set of stimulation pulses have frequencies of from about 0.5 Hz to about 10 Hz. 
     
     
         16 . The method of  claim 1 , wherein said analysis results comprise longitudinal, quantitative feedback. 
     
     
         17 . The method of  claim 1 , further comprising the steps of obtaining complementary brain imaging data and verifying said analysis results with said complementary brain imaging data. 
     
     
         18 . The method of  claim 17 , wherein said complementary brain imaging data comprises Magnetic Resonance Imaging data. 
     
     
         19 . The method of  claim 17 , wherein said complementary brain imaging data comprises Computed Tomography data. 
     
     
         20 . The method of  claim 1 , wherein steps i-vi are repeated while varying said first location and said second location on a trajectory towards a target brain region, whereby said comparison dataset iteratively expands.